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Residual subsidence time series model in mountain area caused by underground mining based on GNSS online monitoring
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作者 Xugang Lian Lifan Shi +2 位作者 Weiyu Kong Yu Han Haodi Fan 《International Journal of Coal Science & Technology》 EI CAS CSCD 2024年第2期173-186,共14页
The residual subsidence caused by underground mining in mountain area has a long subsidence duration time and great potential harm,which seriously threatens the safety of people's production and life in the mining... The residual subsidence caused by underground mining in mountain area has a long subsidence duration time and great potential harm,which seriously threatens the safety of people's production and life in the mining area.Therefore,it is necessary to use appropriate monitoring methods and mathematical models to effectively monitor and predict the residual subsidence caused by underground mining.Compared with traditional level survey and InSAR(Interferometric Synthetic Aperture Radar)technology,GNSS(Global Navigation Satellite System)online monitoring technology has the advantages of long-term monitoring,high precision and more flexible monitoring methods.The empirical equation method of residual subsidence in mining subsidence is effectively combined with the rock creep equation,which can not only describe the residual subsidence process from the mechanism,but also predict the residual subsidence.Therefore,based on GNSS online monitoring technology,combined with the mining subsidence model of mountain area and adding the correlation coefficient of the compaction degree of caving broken rock and the Kelvin model of rock mechanics,this paper constructs the residual subsidence time series model of arbitrary point on the ground in mountain area.Through the example,the predicted results of the model in the inversion parameter phase and the dynamic prediction phase are compared with the measured data sequence.The results show that the model can carry out effective numerical calculation according to the GNSS monitoring data of any point on the ground,and the model prediction effect is good,which provides a new method for the prediction of residual subsidence in mountain mining. 展开更多
关键词 Underground mining in mountain area Residual subsidence GNSS online monitoring Mathematical model Subsidence prediction
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Online Capacitor Voltage Transformer Measurement Error State Evaluation Method Based on In-Phase Relationship and Abnormal Point Detection
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作者 Yongqi Liu Wei Shi +2 位作者 Jiusong Hu Yantao Zhao Pang Wang 《Smart Grid and Renewable Energy》 2024年第1期34-48,共15页
The assessment of the measurement error status of online Capacitor Voltage Transformers (CVT) within the power grid is of profound significance to the equitable trade of electric energy and the secure operation of the... The assessment of the measurement error status of online Capacitor Voltage Transformers (CVT) within the power grid is of profound significance to the equitable trade of electric energy and the secure operation of the power grid. This paper advances an online CVT error state evaluation method, anchored in the in-phase relationship and outlier detection. Initially, this method leverages the in-phase relationship to obviate the influence of primary side fluctuations in the grid on assessment accuracy. Subsequently, Principal Component Analysis (PCA) is employed to meticulously disentangle the error change information inherent in the CVT from the measured values and to compute statistics that delineate the error state. Finally, the Local Outlier Factor (LOF) is deployed to discern outliers in the statistics, with thresholds serving to appraise the CVT error state. Experimental results incontrovertibly demonstrate the efficacy of this method, showcasing its prowess in effecting online tracking of CVT error changes and conducting error state assessments. The discernible enhancements in reliability, accuracy, and sensitivity are manifest, with the assessment accuracy reaching an exemplary 0.01%. 展开更多
关键词 Capacitor Voltage Transformer Measurement Error online Monitoring Principal Component Analysis Local Outlier Factor
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Online Fault Monitoring of On-Load Tap-Changer Based on Voiceprint Detection
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作者 Kitwa Henock Bondo 《Journal of Power and Energy Engineering》 2024年第3期48-59,共12页
The continuous operation of On-Load Tap-Changers (OLTC) is essential for maintaining stable voltage levels in power transmission and distribution systems. Timely fault detection in OLTC is essential for preventing maj... The continuous operation of On-Load Tap-Changers (OLTC) is essential for maintaining stable voltage levels in power transmission and distribution systems. Timely fault detection in OLTC is essential for preventing major failures and ensuring the reliability of the electrical grid. This research paper proposes an innovative approach that combines voiceprint detection using MATLAB analysis for online fault monitoring of OLTC. By leveraging advanced signal processing techniques and machine learning algorithms in MATLAB, the proposed method accurately detects faults in OLTC, providing real-time monitoring and proactive maintenance strategies. 展开更多
关键词 online Fault Monitoring OLTC On-Load Tap Change Voiceprint Detection
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Online Fault Detection Configuration on Equipment Side of a Variable-Air-Volume Air Handling Unit
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作者 杨学宾 李鑫海 +2 位作者 杨思钰 王吉 罗雯军 《Journal of Donghua University(English Edition)》 CAS 2023年第2期225-231,共7页
With the development of the technology of the Internet of Things,more and more operational data can be collected from air conditioning systems.Unfortunately,the most of existing air conditioning controllers mainly pro... With the development of the technology of the Internet of Things,more and more operational data can be collected from air conditioning systems.Unfortunately,the most of existing air conditioning controllers mainly provide controlling functions more than storing,processing or computing the measured data.This study develops an online fault detection configuration on the equipment side of air conditioning systems to realize these functions.Modbus communication is served to collect real-time operational data.The calculating programs are embedded to identify whether the measured signals exceed their limits or not,and to detect if sensor reading is frozen and other faults in relation to the operational performance are generated or not.The online fault detection configuration is tested on an actual variable-air-volume(VAV)air handling unit(AHU).The results show that the time ratio of fault detection exceeds 95.00%,which means that the configuration exhibits an acceptable fault detection effect. 展开更多
关键词 fault detection software configuration online monitoring equipment side variable-air-volume(VAV) air handling unit(AHU)
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Comparative analysis of online monitoring methods for transformer insulation performance of 330-750kV substation
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作者 子贡 董海鹰 任伟 《Journal of Measurement Science and Instrumentation》 CAS CSCD 2016年第1期71-77,共7页
The online-monitoring methods for insulation performance of current transformers of 330-750 kV substation are analyzed and compared.The effectiveness and availability of each method are discussed.Main features,advanta... The online-monitoring methods for insulation performance of current transformers of 330-750 kV substation are analyzed and compared.The effectiveness and availability of each method are discussed.Main features,advantages and disadvantages of each method and its corresponding standard are also described. 展开更多
关键词 continuous control insulation performance online monitoring SUBSTATION
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An inverse method for online stress monitoring and fatigue life analysis of boiler drums 被引量:5
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作者 胡文森 李斌 《Journal of Chongqing University》 CAS 2009年第2期89-96,共8页
A method based on solution of the inverse heat conduction problem was presented for online stress monitoring and fatigue life analysis of boiler drums. The mathematical model of the drum temperature distribution is ba... A method based on solution of the inverse heat conduction problem was presented for online stress monitoring and fatigue life analysis of boiler drums. The mathematical model of the drum temperature distribution is based on the assumptions that the difference of temperature along the longitudinal axis of the boiler drum is negligible with changes only in the radial direction and the circumferential direction, and that the outer surface of drum is thermaUy insulated. Combining this model with the control-volume method provides temperatures at different points on a cross-section of the drum. With the temperature data, the stresses and the life expectancy of the boiler drum are derived according to the ASME code. Applying this method to the cold start-up process of a 300 MW boiler demonstrated the absence of errors caused by the boundary condition assumptions on the inner surface of the drum and testified that the method is an applicable technique for the online stress monitoring and fatigue life analysis of boiler drums. 展开更多
关键词 boiler drum fatigue life temperature distribution online stress monitoring
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Online Predictive Monitoring and Prediction Model for a Periodic Process Through Multiway Non-Gaussian Modeling 被引量:3
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作者 Changkyoo Yoo Minhan Kim Sunjin Hwang Yongmin Jo Jongmin Oh 《Chinese Journal of Chemical Engineering》 SCIE EI CAS CSCD 2008年第1期48-51,共4页
A new on-line predictive monitoring and prediction model for periodic biological processes is proposed using the multiway non-Gaussian modeling. The basic idea of this approach is to use multiway non-Gaussian modeling... A new on-line predictive monitoring and prediction model for periodic biological processes is proposed using the multiway non-Gaussian modeling. The basic idea of this approach is to use multiway non-Gaussian modeling to extract some dominant key components from daily normal operation data in a periodic process, and subsequently combining these components with predictive statistical process monitoring techniques. The proposed predictive monitoring method has been applied to fault detection and diagnosis in the biological wastewater-treatment process, which is based on strong diurnal characteristics. The results show the power and advantages of the proposed predictive monitoring of a continuous process using the multiway predictive monitoring concept, which is thus able to give very useful conceptual results for a daily monitoring process and also enables a more rapid detection of the process fault than other traditional monitoring methods. 展开更多
关键词 inferential sensing multiway modeling non-Gaussian distribution online predictive monitoring process supervision wastewater treatment process
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UTM:A trajectory privacy evaluating model for online health monitoring 被引量:2
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作者 Zhigang Yang Ruyan Wang +1 位作者 Dapeng Wu Daizhong Luo 《Digital Communications and Networks》 SCIE CSCD 2021年第3期445-452,共8页
A huge amount of sensitive personal data is being collected by various online health monitoring applications.Although the data is anonymous,the personal trajectories(e.g.,the chronological access records of small cell... A huge amount of sensitive personal data is being collected by various online health monitoring applications.Although the data is anonymous,the personal trajectories(e.g.,the chronological access records of small cells)could become the anchor of linkage attacks to re-identify the users.Focusing on trajectory privacy in online health monitoring,we propose the User Trajectory Model(UTM),a generic trajectory re-identification risk predicting model to reveal the underlying relationship between trajectory uniqueness and aggregated data(e.g.,number of individuals covered by each small cell),and using the parameter combination of aggregated data to further mathematically derive the statistical characteristics of uniqueness(i.e.,the expectation and the variance).Eventually,exhaustive simulations validate the effectiveness of the UTM in privacy risk evaluation,confirm our theoretical deductions and present counter-intuitive insights. 展开更多
关键词 online health monitoring Trajectory privacy User trajectory model Aggregated data UNIQUENESS
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Research on Online Monitoring Methods on SF_(6) Circuit Breakers
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作者 CHENG Tingting GAO Wensheng ZHAO Yuming 《高压电器》 CAS CSCD 北大核心 2019年第3期1-7,14,共8页
To promote the accuracy and application of arcing time measurement for SF_6 circuit breaker in substation,five measurement methods are investigated by two cases experimentally. First,the test results of the five metho... To promote the accuracy and application of arcing time measurement for SF_6 circuit breaker in substation,five measurement methods are investigated by two cases experimentally. First,the test results of the five methods for a circuit breaker in different stages of wear and a circuit breaker with a component failure were presented. Then,the time error is analyzed by simulation.Finally,the advantage and disadvantage of these methods are discussed. 展开更多
关键词 circuit breaker high voltage circuit breaker arcing time arc duration online monitoring wavelet analysis
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Online Monitoring Volume Deformation of Cement-based Materials in Multiple Environments
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作者 马保国 《Journal of Wuhan University of Technology(Materials Science)》 SCIE EI CAS 2006年第z1期39-43,共5页
Comparing and analyzing some volume deformation measuring means for cement-based materials at home and abroad, a continuous online monitor of cement-based material volume deformation in multiple environments is develo... Comparing and analyzing some volume deformation measuring means for cement-based materials at home and abroad, a continuous online monitor of cement-based material volume deformation in multiple environments is developed. The device is designed based on the environmental simulation technology, micro-distance measuring technology of laser and eddy current, and transmission agent online monitoring the deformation of multi-group samples. This device can be used widely, such as glass, ceramics, walling material, and so on, with high precision, low testing cost, and intellectualization. 展开更多
关键词 cement-based material environmental simulation volume deformation online monitoring
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Vapor Online Monitor Model of Vapor Power Station Based on UML
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作者 Jin Ye, Tang Xu\|zhang, Yu Jun\|qing, Zhou Dong\|ru School of Computer, Wuhan University, Wuhan 430072, China 《Wuhan University Journal of Natural Sciences》 EI CAS 2001年第4期775-778,共4页
We presents a vapor online monitor system model of vapor power station developed by visual tool rational rose 2000. Use cases such as on line instrument (onlineinstr), control, query, report, real database (realdb) an... We presents a vapor online monitor system model of vapor power station developed by visual tool rational rose 2000. Use cases such as on line instrument (onlineinstr), control, query, report, real database (realdb) and alarm are generated according to the system requirements. Use case view and class view of the system are formed at the same time. As for all the UML models of the system, this paper focuses the discussion on the class view, the component diagram of the control class and the sequence diagram of the query class. Corresponding C++ codes are produced and finally transferred into the spot running software. 展开更多
关键词 online monitor MODEL UML
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Online Monitoring the Products Quality by Measuring Cavity Pressure during Injection Molding
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作者 Chung-Ching Huang Chung-Da Lin +4 位作者 Yi-Jen Yang His-Jung Chang Jui-Wen Chang Chih-Husiung Chung Shen-Houng Chen 《Journal of Mechanics Engineering and Automation》 2012年第11期682-687,共6页
Injection molding is a complicated production technique for the manufacturing of polymer products. During injection molding, it's hard to predict molding quality; the injection molding parameters, such as mold temper... Injection molding is a complicated production technique for the manufacturing of polymer products. During injection molding, it's hard to predict molding quality; the injection molding parameters, such as mold temperature, melt temperature, packing pressure and packing time, affect the final properties of product. The cavity pressure is a significant key factor. Residual stress and injection molding weight are significantly affected by the cavity pressure. This study created an approach to predict weight of injection-molded by real-time online cavity pressure monitoring. This study uses a 6-inch with thickness lmm light guide panel and the largest area beneath the pressure curve of time as well as the maximum pressure as its characteristic. The upper and lower limits of the control are set to +2 standard deviations, and GUI (Graphical User Interface)-based LabVIEW software is used to perform calculation and analysis of the pressure curve. The results of the experiment show that the online internal cavity pressure monitoring system can effectively monitor the quality of the molded products. In 500 injection molding cycle tests, its error rate was less than 8%, whereas the deviation in mass of the molded products selected through the system's filtering process was successfully controlled to be within ±4%. 展开更多
关键词 Injection molding internal cavity pressure online monitoring quality determination
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A Monitoring Method for Transmission Tower Foots Displacement Based on Wind-Induced Vibration Response
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作者 Zhicheng Liu Long Zhao +2 位作者 Guanru Wen Peng Yuan Qiu Jin 《Structural Durability & Health Monitoring》 EI 2023年第6期541-555,共15页
The displacement of transmission tower feet can seriously affect the safe operation of the tower,and the accuracy of structural health monitoring methods is limited at the present stage.The application of deep learnin... The displacement of transmission tower feet can seriously affect the safe operation of the tower,and the accuracy of structural health monitoring methods is limited at the present stage.The application of deep learning method provides new ideas for structural health monitoring of towers,but the current amount of tower vibration fault data is restricted to provide adequate training data for Deep Learning(DL).In this paper,we propose a DT-DL based tower foot displacement monitoring method,which firstly simulates the wind-induced vibration response data of the tower under each fault condition by finite element method.Then the vibration signal visualization and Data Transfer(DT)are used to add tower fault data samples to solve the problem of insufficient actual data quantity.Subsequently,the dynamic response test is carried out under different tower fault states,and the tower fault monitoring is carried out by the DL method.Finally,the proposed method is compared with the traditional online monitoring method,and it is found that this method can significantly improve the rate of convergence and recognition accuracy in the recognition process.The results show that the method can effectively identify the tower foot displacement state,which can greatly reduce the accidents that occurred due to the tower foot displacement. 展开更多
关键词 Tower online monitoring wind-induced response continuous wavelet transform CNN multi sensor information fusion
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In-situ analysis of laser-induced breakdown spectra for online monitoring of femtosecond laser machining of sapphire
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作者 SHANGGUAN ShiYong ZHANG JianGuo +4 位作者 LI ZhanZhu SHI Wei WANG WenKe QI DongFeng ZHENG HongYu 《Science China(Technological Sciences)》 SCIE EI CAS CSCD 2024年第1期73-82,共10页
Laser-induced breakdown spectroscopy(LIBS)is widely used for elemental analysis.However,its application for monitoring and analyzing a laser machining process by examining the changes in spectral information warrants ... Laser-induced breakdown spectroscopy(LIBS)is widely used for elemental analysis.However,its application for monitoring and analyzing a laser machining process by examining the changes in spectral information warrants further investigation.In this study,we investigate the effect of laser parameters on the spectra,variations in the time-resolved plasma emission spectra,and the relationship between the morphology of craters and plasma plume evolution during the femtosecond(fs)laser ablation of sapphire.The Boltzmann plot method and Stark’s broadening model are employed to estimate the temporal temperature and electron density of the plasma plume,revealing the process of plasma evolution.This study aims to demonstrate the feasibility of LIBS for online monitoring of laser processing through experimental data and theoretical explanations. 展开更多
关键词 laser-induced breakdown spectroscopy plasma plume online monitoring SAPPHIRE
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An ultra-thin bolt tension sensor and online monitoring system:For application in hydropower plant unit
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作者 Shaoquan ZHANG Yanke TAN +1 位作者 Hanbin GE Qilin ZHANG 《Frontiers of Structural and Civil Engineering》 SCIE EI CSCD 2024年第9期1388-1400,共13页
The condition of bolted connections significantly affects the structural safety.However,conventional bolt tension sensors fail to provide precise measurements due to their bulky size or inadequate stability.This study... The condition of bolted connections significantly affects the structural safety.However,conventional bolt tension sensors fail to provide precise measurements due to their bulky size or inadequate stability.This study employs the piezoresistive effect of crystalline silicon material to fabricate an ultrathin sensor.The sensor exhibits a linear relationship between pressure and voltage,an exceptional stability at varying temperatures,and a superior resistance to corrosion,making it adaptable and user-friendly for applications of high-strength bolt tension monitoring.A monitoring system,incorporating the proposed sensor,has also been developed.This system provides real-time display of bolt tension and enables the assessment of sensor and structural conditions,including bolt loosening or component failure.The efficacy of the proposed sensor and monitoring system was validated through a project carried out at the Xiluodu Hydropower Plant.According to the results,the sensor and online monitoring system effectively gauged and proficiently conveyed and stored bolt tension data.In addition,correlations were created between bolt tensions and essential unit parameters,such as water head,active power,and pressures at vital points,facilitating anomaly detection and early warning. 展开更多
关键词 ultra-thin sensor high-strength bolt tension online monitoring system anomaly alarm hydro-generator units
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Non-contact and full-field online monitoring of curing temperature during the in-situ heating process based on deep learning
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作者 Qiang-Qiang Liu Shu-Ting Liu +2 位作者 Ying-Guang Li Xu Liu Xiao-Zhong Hao 《Advances in Manufacturing》 SCIE EI CAS CSCD 2024年第1期167-176,共10页
Online monitoring of the curing temperature field is essential to improving the quality and efficiency of the manufacturing process of composite parts.Traditional embedded sensor-based technologies have difficulty mon... Online monitoring of the curing temperature field is essential to improving the quality and efficiency of the manufacturing process of composite parts.Traditional embedded sensor-based technologies have difficulty monitoring the full temperature field or have to introduce heterogeneous items that could have an undesired impact on the part.In this paper,a non-contact,full-field monitoring method based on deep learning that predicts the internal temperature field of composite parts in real time using surface temperature measurements of auxiliary materials is proposed.Using the proposed method,an average temperature monitoring accuracy of 97%is achieved in various heating patterns.In addition,this method also demonstrates satisfying feasibility when a stronger thermal barrier covers the part.This method was experimentally validated during the self-resistance electric heating process,in which the monitoring accuracy reached 93.1%.This method can potentially be applied to automated manufacturing and process control in the composites industry. 展开更多
关键词 online monitoring Curing temperature field Deep learning(DL) In-situ heating
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Deep-learning-assisted online surface roughness monitoring in ultraprecision fly cutting
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作者 SHEHZAD Adeel RUI XiaoTing +4 位作者 DING YuanYuan ZHANG JianShu CHANG Yu LU HanJing CHEN YiHeng 《Science China(Technological Sciences)》 SCIE EI CAS CSCD 2024年第5期1482-1497,共16页
Surface roughness is one of the most critical attributes of machined components,especially those used in high-performance systems.Online surface roughness monitoring offers advancements comparable to post-process insp... Surface roughness is one of the most critical attributes of machined components,especially those used in high-performance systems.Online surface roughness monitoring offers advancements comparable to post-process inspection methods,reducing inspection time and costs and concurrently reducing the likelihood of defects.Currently,online monitoring approaches for surface roughness are constrained by several limitations,including the reliance on handcrafted feature extraction,which necessitates the involvement of human experts and entails time-consuming processes.Moreover,the prediction models trained under one set of cutting conditions exhibit poor performance when applied to different experimental settings.To address these challenges,this work presents a novel deep-learning-assisted online surface roughness monitoring method for ultraprecision fly cutting of copper workpieces under different cutting conditions.Tooltip acceleration signals were acquired during each cutting experiment to develop two datasets,and no handcrafted features were extracted.Five deep learning models were developed and evaluated using standard performance metrics.A convolutional neural network stacked on a long short-term memory network outperformed all other network models,yielding exceptional results,including a mean absolute percentage error as low as 1.51%and an R2value of 96.6%.Furthermore,the robustness of the proposed model was assessed via a validation cohort analysis using experimental data obtained using cutting parameters different from those previously employed.The performance of the model remained consistent and commendable under varied conditions,asserting its applicability in real-world scenarios. 展开更多
关键词 online surface roughness monitoring UPFC deep learning CNN-LSTM vibration signal
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EFFECT OF TOOL WEAR ON MICROSTRUCTURE, MECHANICAL PROPERTIES AND ACOUSTIC EMISSION OF FRICTION STIR WELDED 6061 Al ALLOY 被引量:2
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作者 W.M. Zeng H.L. Wu J. Zhang 《Acta Metallurgica Sinica(English Letters)》 SCIE EI CAS CSCD 2006年第1期9-19,共11页
Tool condition is one of the main concerns in friction stir welding (FSW), because the geometrical condition of the tool pin including size and shape is strongly connected to the microstrueture and mechanical perfor... Tool condition is one of the main concerns in friction stir welding (FSW), because the geometrical condition of the tool pin including size and shape is strongly connected to the microstrueture and mechanical performance of the weld. Tool wear occurs during FSW, especially for welding metal matrix composites with large amounts of abrasive particles, and high melting point materials, which significantly expedite tool wear and deteriorate the mechanical performance of welds. Tools with different pin-wear levels are used to weld 6061 Al alloy, while acoustic emission (AE) sensing, metallographic sectioning, and tensile testing are employed to evaluate the weld quality in various tool wear conditions. Structural characterization shows that the tool wear interferes with the weld quality and accounts for the formation of voids in the nugget zone. Tensile test analysis of samples verifies that both the ultimate tensile strength and the yield strength are adversely affected by the formation of voids in the nugget due to the tool wear. The failure location during tensile test clearly depends on the state of the tool wear, which led to the analysis of the relationships between the structure of the nugget and tool wear. AE signatures recorded during welding reveal that the AE hits concentrate on the higher amplitudes with increasing tool wear. The results show that the AE sensing provides a potentially effective method for the on-line manitoring of tool wear. 展开更多
关键词 acoustic emission online monitoring tool wear 6061 Al alloy
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A study on the application of ICA to GMAW
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作者 宋柱梅 李迪 叶峰 《China Welding》 EI CAS 2006年第2期14-19,共6页
A novel method, independent component analysis ( ICA ) , is introduced to gas metal arc welding (GMAW) process monitoring. ICA was applied to arc signals, i. e. welding current and arc voltage, to remove the corre... A novel method, independent component analysis ( ICA ) , is introduced to gas metal arc welding (GMAW) process monitoring. ICA was applied to arc signals, i. e. welding current and arc voltage, to remove the correlation between them and extract an independent component IC. Two series of robotic GMA W experiments were carried out to study the feasibility of ICA for online monitoring. It was found that IC put up an abnormity when there was a step disturbance in the welding process. Experimental results showed that the IC could be used as a state variable representing the process variation. By applying statistical process control (SPC) for the obtained IC, a burning-through defect was isolated from the normal operation. The comparison between ICA and principal component analysis (PCA) was also made for the processes, which led to an interesting result and was in need for further study. 展开更多
关键词 gas metal arc welding (GMAW) online monitoring principal component analysis independent componentanalysis statistical process control
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Platform Construction of Regional Energy Management Center
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作者 胡珏 《China Standardization》 2014年第2期62-67,共6页
Based on the analysis of different requirements of energy management center construction and the data acquisition of various industries in wide area network, as well as the practices of real-lime online system, the pa... Based on the analysis of different requirements of energy management center construction and the data acquisition of various industries in wide area network, as well as the practices of real-lime online system, the paper puts forward the construction scheme of regional energy management center (REMC) which can achieve real time online monitoring of organizations' energy consumption via data collection, and also proposes the design idea of energy data acquisition based on national standards. 展开更多
关键词 regional energy management center real time online monitoring energy efficiency STANDARDIZATION
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