Intelligent Diagnosis Method for Typical Co-frequency Vibration Faults of Rotating Machinery Based on SAE and Ensembled ResNet-SVM

Intelligent fault diagnosis is an important method in rotating machinery fault diagnosis and equipment health management.To deal with co-frequency vibration faults,a type of typical fault in rotating machinery,this paper proposes a fault diagnosis method based on the stacked autoencoder(SAE)and ensembled ResNet-SVM.Furthermore,the time-and frequency-domain features of several co-frequency vibration faults are summarized based on the mechanism analysis and calculated using actual vibration data.To realize and validate the high-precision diagnosis method of rotating equipment with co-frequency faults proposed in this study,the following three criteria are required:First,to improve the effectiveness and robustness of the ensembled model and the sliding window using data augmentation,adding noise,autoencoder(AE)and SAE methods are analyzed in terms of principle and practical effects.Second,ResNet is used as the feature extractor for the ensembled ResNet-SVM model.Feature extraction is carried out twice,and the extracted co-frequency fault features are more comprehensive.Finally,the data augmentation method and ensemble ResNet-SVM are combined for fault diagnosis and compared with other methods.The experimental results show that the accuracy of the proposed method can exceed 99.9%.

Research on Inter-turn Short-circuit Fault Diagnosis Method Based on High Frequency Voltage Residual for PMSM

Inter-turn fault is a serious stator winding short-circuit fault of permanent magnet synchronous machine(PMSM). Once it occurs, it produces a huge short-circuit current that poses a great risk to the safe operation of PMSM. Thus, an inter-turn short-circuit fault(ITSCF) diagnosis method based on high frequency(HF) voltage residual is proposed in this paper with proper HF signal injection. First, the analytical models of PMSM after the ITSCF are deduced. Based on the model, the voltage residual at low frequency(LF) and HF can be obtained. It is revealed that the HF voltage residual has a stronger ITSCF detection capability compared to the LF voltage residual. To obtain optimal fault signature, a 3-phase symmetrical HF voltage is injected into the machine drive system, and the HF voltage residuals are extracted. The fault indicator is defined as the standard deviation of the 3-phase HF voltage residuals. The effectiveness of the proposed ITSCF diagnosis method is verified by experiments on a triple 3-phase PMSM. It is worth noting that no extra hardware equipment is required to implement the proposed method.

Two-Stage Edge-Side Fault Diagnosis Method Based on Double Knowledge Distillation

With the rapid development of the Internet of Things(IoT),the automation of edge-side equipment has emerged as a significant trend.The existing fault diagnosismethods have the characteristics of heavy computing and storage load,and most of them have computational redundancy,which is not suitable for deployment on edge devices with limited resources and capabilities.This paper proposes a novel two-stage edge-side fault diagnosis method based on double knowledge distillation.First,we offer a clustering-based self-knowledge distillation approach(Cluster KD),which takes the mean value of the sample diagnosis results,clusters them,and takes the clustering results as the terms of the loss function.It utilizes the correlations between faults of the same type to improve the accuracy of the teacher model,especially for fault categories with high similarity.Then,the double knowledge distillation framework uses ordinary knowledge distillation to build a lightweightmodel for edge-side deployment.We propose a two-stage edge-side fault diagnosismethod(TSM)that separates fault detection and fault diagnosis into different stages:in the first stage,a fault detection model based on a denoising auto-encoder(DAE)is adopted to achieve fast fault responses;in the second stage,a diverse convolutionmodel with variance weighting(DCMVW)is used to diagnose faults in detail,extracting features frommicro andmacro perspectives.Through comparison experiments conducted on two fault datasets,it is proven that the proposed method has high accuracy,low delays,and small computation,which is suitable for intelligent edge-side fault diagnosis.In addition,experiments show that our approach has a smooth training process and good balance.

Method of Mechanical Fault Intelligent Diagnosis Based on Vibration Signal of High Voltage Circuit Breaker

Based on vibration signal of high voltage circuit breaker,a new method of intelligent fault diagnosis that wavelet packet extracts energy entropy which are used as characteristic vector of the support vector machine(SVM)to construct classifier for fault diagnosis is presented.The acceleration sensors are applied to collecting the vibration data of different states of high voltage circuit breakers based on self-made experimental platform in this method.The wavelet packet are fully applied to analyze the vibration signal and decompose vibration signal into three layers,and wavelet packet energy entropy of each frequency band are as the characteristic vector of circuit breaker failure mode.Then the intelligent diagnosis network is established on the basis of the support vector machine theory.It is verified that the method has a better capability of classification and a higher accuracy compared with the traditional neural network diagnosis method through distinguishing the three fault modes which are tripping device stuck,the vacuum arcing chamber fixed bolt looseness and too much friction force of the transmission mechanism of circuit breaker in this paper.

Missed diagnosis of early gastric cancer or high-grade intraepithelial neoplasia

AIM: To investigate the causes of missed diagnosis of early gastric cancer (EGC) or high-grade intraepithelial neoplasia (HGIN) in Chongqing, China. METHODS: The present study summarizes 103 cases of EGC/HGIN detected by esophagogastroduodenos-copy (EGD) and pathological analysis from January 2010 to December 2011. Dimethyl silicone oil was administrated orally 15 min before the EGD procedures. The stomach was cleaned by repeated washing with saline when the gastroscope entered the stomach cavity. Suspected EGC lesions were subject to conventional biopsy sampling and pathological examinations. The correlation between lesion locations, endoscopic morphology of cancerous sites, training level of the examiners, pathological biopsies, and missed diagnosis was analyzed. RESULTS: Twenty-three cases were missed among the 103 cases (22.23%) of EGC/HGIN. The rate of missed EGC in the gastroesophageal junction (8/19, 42.1%) was significantly higher than at other sites (15/84, 17.86%) (χ2 = 5.253, P = 0.022). In contrast, the rate of missed EGC in the lower stomach body (2/14, 14.29%) was lower than at other sites (21/89,23.6%), but there were no significant differences (χ2 = 0.289, P = 0.591). The rate of missed EGC in the gastric antrum (5/33, 15.15%) was lower than at other sites (18/70, 25.71%), but there were no significant differences (χ2 = 1.443, P = 0.230). Endoscopists from less prestigious hospitals were more prone to not diagnosing EGC than those from more prestigious hospitals (χ2 = 4.261, P = 0.039). When the number of biopsies was < 4, the rate of missed diagnosis was higher (20/23, 89.96%) than for when there were > 4 biopsies (3/23, 13.04%) (P < 0.001). In addition, there was no significant difference in the rate of missed diagnosis in patients with 1-3 biopsy specimens (χ2 = 0.141, P = 0.932). CONCLUSION: Endoscopists should have a clear understanding of the anatomical characteristics of the esophagus/stomach, and endoscopic identification of early lesions increases with the number of biopsies.

High Voltage Breaker Current Monitoring and FaultDiagnosis System Based on Fiber Current Sensor

Abstract: The current measuring principle, the hardware structure and the software functions of a high voltage breaker current monitoring and fault diagnosis system are introduced. A simple algorithm for calculating the current effective value is given. The cut - off characteristics of the breaker are classified. This system can provide a foundation for reasonably determining the breaker service period.

Diagnosis of the Medium-Range Variation of the Subtropical High over the Western Pacific during a Meiyu Process by Three-Dimensional E-P Flux

In this paper, using the daily grid data (2.5 × 2.5) of the ECMWF / WMO, we have computed respectively the three-dimensional wave activity flux in the stages of pre-onset, prevailing and post ending of Meiyu from 1 to 31 July 1982. The potential vorticity field is taken as the physical quantity relating the wave activity flux to the variation of the subtropical high over the Western Pacific. It is found that the three-dimensional wave activity flux is a powerful means for diagnosis of the variation of the subtropical high over the Western Pacific: The region of the subtropical high is just the confluence area of wave energy, whose changes in intensity and range decide the variation of the subtropical high. The confluence of wave energy comes from the monsoon flow in low latitudes, the Meiyu rain belts in middle latitudes and the heating fields on the eastern side of the Qinghai-Xizang Plateau. The relation between these sources and the subtropical high displays the self-adjusting mechanism among members of East-Asia summer monsoon.

Optical diagnosis of colorectal polyps using high-definition i-scan: An educational experience

AIM:To examine performances regarding prediction of polyp histology using high-definition (HD) i-scan in a group of endoscopists with varying levels of experience. METHODS:We used a digital library of HD i-scan still images, comprising twin pictures (surface enhancement and tone enhancement), collected at our university hospital. We defined endoscopic features of adenomatous and non-adenomatous polyps, according to the following parameters:color, surface pattern and vascular pattern. We familiarized the participating endoscopists on optical diagnosis of colorectal polyps using a 20-min didactic training session. All endoscopists were asked to evaluate an image set of 50 colorectal polyps with regard to polyp histology. We classified the diagnoses into high confidence (i.e., cases in which the endoscopist could assign a diagnosis with certainty) and low confidence diagnoses (i.e., cases in which the endoscopist preferred to send the polyp for formal histology). Mean sensitivity, specificity and accuracy per endoscopist/image were computed and differences between groups tested using independent-samples t tests. High vs low confidence diagnoses were compared using the pairedsamples t test. RESULTS:Eleven endoscopists without previous experience on optical diagnosis evaluated a total of 550 images (396 adenomatous, 154 non-adenomatous). Mean sensitivity, specificity and accuracy for diagnosing adenomas were 79.3%, 85.7% and 81.1%, respectively. No significant differences were found between gastroenterologists and trainees regarding performances of optical diagnosis (mean accuracy 78.0%vs 82.9%,P = 0.098). Diminutive lesions were predicted with a lower mean accuracy as compared to non-diminutive lesions (74.2% vs 93.1%, P = 0.008). A total of 446 (81.1%) diagnoses were made with high confidence. High confidence diagnoses corresponded to a significantly higher mean accuracy than low confidence diagnoses (84.0% vs 64.3%, P = 0.008). A total of 319 (58.0%) images were evaluated as having excellent quality. Considering excellent quality images in conjunction with high confidence diagnosis, overall accuracy increased to 92.8%. CONCLUSION:After a single training session, endoscopists with varying levels of experience can already provide optical diagnosis with an accuracy of 84.0%.

Fault diagnosis based on high-gain observer with an update law for a class of nonlinear systems

In this paper,by using the well-known high-gain observer design,an update law for the gain and an adaptive estimation of parameters,a new method of fault diagnosis for a class of nonlinear systems is presented.Without resort to any transformation for the parameters,the estimation errors of the states and the parameters are guaranteed to be globally exponentially convergent by a persistent excitation condition.Compared to the existing results,it can be applied to nonlinear systems with nonlinear terms admitting an incremental rate depending on the measured output.A case study further verifies the validity of the proposed research.

Research on Rubbing-fault Diagnosis System in High-speed Rotor based on LabVIEW

The rubbing between rotors and determiners is the common mechanic vibration fault in the operation of rotation machinery. During the operation of equipment, in order to meet the demand of high speed and efficiency of machinery, the gap between the active and passive parts of the rotor system become smaller, which results in the common rubbing fault of rotors and stators. This essay studies the fault diagnosis of high speed rotors based on invented instrument and shows the measurement and research of the signals of rubbing failure of high speed rotors. The research introduces the designed software and hardware which are experimented and testified on Bentley rotor experiment platform. The system has theoretical and applicative meaning in practical projects.

Studies on high-yielding cultivation of rice in Guangdong by diagnosis and control of chlorophyll content and LAI

During the 1970’s and 1980’s studies on the rela-tion between LAI and yield had been carried out inGAAS.The main results were as follows:(1)Usingthe accumulated LAI value at three stages,i.e.panicle initiation(PI),heading(H)and 20 d afterheading(H),to analyze the relation between LAIand yield was more accurrate than only using theLAI value at H stage(see table);(2)Reaching cer-

Comparison of plasma microRNA-1 and cardiac troponin T in early diagnosis of patients with acute myocardial infarction

BACKGROUND:Early reperfusion can effectively treat acute myocardial infarction(AMI) and reduce the mortality signif icantly. This study aimed to compare the role of plasma microRNA-1(miR-1) and cardiac troponin T(cTnT) in early diagnosis of AMI patients.METHODS:From May 2011 to May 2012,plasma samples were collected from 56 AMI patients and 28 non-AMI controls. The expression of plasma miR-1 was measured by quantitative reverse transcription-polymerase chain reaction(qRT-PCR),and the level of plasma cTnT was measured using electrochemiluminescence-based methods on an Elecsys 2010 Immunoassay Analyzer. SPSS 16.0 was used for the statistical analysis of the results. Data were expressed as mean±standard deviation unless otherwise described. The differences about clinical characteristics between the AMI patients and controls were tested using Student's t test or Fisher's exact test. The Mann-Whitney U test was conducted to compare the expression of microRNAs between the AMI patients and controls. MicroRNAs expression between different intervals of the AMI patients was compared using Wilcoxon's signed-rank test. The receiver operating characteristic(ROC) curve was established to discriminate the AMI patients from the controls.RESULTS:In the present study,the expression of plasma miR-1 was signifi cantly increased in the AMI patients compared with the healthy controls(P<0.01). The plasma miR-1 in the AMI patients decreased to the normal level at 14 days(P>0.05). The expression of plasma miR-1 was not related to the clinical characteristics of the study population(P>0.05). ROC curve analyses demonstrated that miR-1 was specifi c and sensitive for the early diagnosis of AMI,but not superior to cTnT.CONCLUSION:Plasma miR-1 could be used in the early diagnosis of AMI,but it is similar to cTnT.

Acetone sensors for non-invasive diagnosis of diabetes based on metal-oxide-semiconductor materials

In recent years, clinical studies have found that acetone concentration in exhaled breath can be taken as a characteristic marker of diabetes. Metal-oxide-semiconductor (MOS) materials are widely used in acetone gas sensors due to their low cost, high sensitivity, fast response/recovery time, and easy integration. This paper reviews recent progress in acetone sensors based on MOS materials for diabetes diagnosis. The methods of improving the performance of acetone sensor have been explored for comparison, especially in high humidity conditions. We summarize the current excellent methods of preparations of sensors based on MOSs and hope to provide some help for the progress of acetone sensors in the diagnosis of diabetes.

Optimization of nucleic acid extraction methods for rapid detection in pandemic situations or diseases with high prevalence

Nucleic acid extraction(NAE)is an essential component of many assays used for diagnostic and research purposes.During a pandemic,performing NAE is associated with significant challenges due to material shortages,high costs,limited laboratory facilities,and the time required.This delays patient diagnosis and treatment,particularly in countries that do not produce NAE devices.Here,we tested several procedures to speed up the extraction process using common laboratory reagents,finding that heat-based nucleic acid extraction of severe acute respiratory syndrome coronavirus 2(SARS-COV2)is a detection method that can be easily implemented in laboratories,even those without centrifugation facilities.

马赫数10条件下冲压发动机内氢气燃烧特性试验

针对高马赫数超燃冲压发动机面临的高效燃烧组织挑战,本文提出了一种凹腔后缘激波强化的高马赫数超声速燃烧组织技术,并设计了一套燃烧室采用双侧对称布置凹腔结构的三维发动机试验模型。采用OH*基化学发光光谱诊断与壁面测压相结合的试验手段,在自由活塞驱动激波风洞的名义Ma=10流场中,对凹腔上游横向氢气射流的燃烧特性进行了研究,并讨论了模拟流场的重复性,给出了氢气燃烧演化特征、火焰稳定结构及释热特性。不同车次的总压等流场参数表明试验流场具有较高的重复性,可保障氢气燃烧特性的可复现性。通过观察试验过程中OH*基动态发光特征发现,在高焓激波风洞发动机试验中采用燃料提前喷注的方法使发动机流道在空气主流到来之前充盈大量的氢气,进而在主流到达发动机内的瞬间形成所谓“激波管流动-燃烧”效应,使来流空气与氢气接触面发生自点火与剧烈燃烧,产生显著不同于发动机正常工作情况下的点火与燃烧机制,但随着主流趋于平稳,“激波管流动-燃烧”效应消失,在高总温气流的自点火效应与凹腔后缘的X型激波耦合作用下,火焰稳定在凹腔上游近壁面区的氢气射流尾迹区和凹腔后缘附近的全流场中。通过分析壁面压力分布特征发现,凹腔后缘的X型激波实现了燃烧的强化与火焰的稳定,并获得了最显著的释热压升。这些结果表明高马赫数冲压发动机可利用凹腔后缘X型激波强化燃烧和稳定火焰。

HkV和HRCT检查在职业性尘肺病诊断中的价值

目的探究高千伏胸片(HkV)和高分辨率计算机体层X线摄影术(HRCT)检查在职业性尘肺病诊断中的临床应用价值。方法回顾性分析133例进行职业病诊断的尘肺病患者资料,患者均接受HkV和HRCT检查,以临床病理检查为金标准,比较HkV和HRCT对尘肺患者肺部阴影的显示情况、图片质量、分期诊断符合率及尘肺合并症的检出情况。结果HRCT对肺部P影、小阴影检出率高于HkV(P<0.05),两组大阴影检出率比较,差异无统计学意义(P>0.05);HRCT检查图像质量有效率高于HkV检查(P<0.05);HRCT诊断总准确率高于HkV诊断(P<0.05);HRCT对肺部感染、肺气肿、胸膜增厚、气胸的检出率高于HkV(P<0.05),HRCT与HkV对肺结核、肺大泡检出率差异无统计学意义(P>0.05)。结论HRCT检查对职业性尘肺病患者肺部阴影、临床分期及合并症的诊断效果高于HkV,图片质量更高。

DRG支付方式下公立医院特殊病例住院费用影响因素分析

目的:分析DRG支付方式下,包括高倍率病例和低倍率病例在内的特殊病例费用特征及其影响因素,为降低医疗费用、减轻患者负担和完善DRG支付方式改革提供参考。方法:选取某三甲综合医院2022年全年所有特殊病例的病案首页数据,采用描述性分析和单因素分析对特殊病例的影响因素进行分析,并通过结构方程模型分析各影响因素间的作用路径和影响程度。结果:纳入高倍率病例1281例(占总病例2.78%),其中治疗费用花费最多(占16.29%),费用最少的是诊察费(占0.79%);低倍率病例3266例(占7.09%),其中手术费用花费最多(占31.51%),费用最少的是诊疗费(占1.61%)。性别、年龄、住院天数、科室类别、医保付费方式、并发症均是特殊病例住院费用的影响因素(P<0.05)。结构方程模型结果显示,科室类别对费用的影响最大,性别对费用的影响最小。结论:调整医疗费用结构,缩短患者的住院天数,合理使用DRG支付方式,从而降低医疗费用、提高诊疗效率,实现总体控费目标。

黄河流域“水资源-生态保护-高质量发展”空间均衡性诊断

为促进黄河流域空间均衡发展,在测算黄河流域9个省区水资源可承载水平、经济社会发展水平以及生态保护水平的基础上,分析了各省区内部水资源、生态环境和经济社会3个子系统间的耦合协调发展水平,并分别以水与经济均衡、水与生态均衡、经济与生态均衡为子目标,构建了空间均衡性诊断模型,对黄河流域相邻“省区对”进行了空间均衡性诊断,反向追踪各“省区对”空间不均衡的原因。结果显示:除宁夏、甘肃外,黄河流域其他省区内部3个子系统间均已达到初级或中级协调发展阶段;黄河流域上游和下游的相邻“省区对”分别通过了均衡性判别;宁夏、甘肃、山西和内蒙古4个省区严重影响了省区间的均衡性,抑制了黄河流域整体的空间均衡发展。

基于DFD-DBSCAN的高速列车电池组多故障诊断方法

高速列车电池作为备用电源,被广泛应用于辅助供电系统以维持高速列车控制系统的正常运转,其可靠性涉及行车安全。列车频繁起停、频繁加减速以及震动等多种复杂运行环境易导致电池单体故障和连接故障。为了保证高速列车的安全运行,高速列车电池组的状态检测与多故障诊断研究备受关注。目前,针对高速列车电池组的多故障诊断方法的研究尚属空白,提出一种基于改进离散弗雷歇距离(Discrete Fréchet Distance, DFD)和自适应密度聚类(Density-Based Spatial Clustering of Applications with Noise, DBSCAN)的高速列车电池组的实时多故障诊断方法,以准确识别电池组的连接故障和单体故障。以高速列车电池作为研究对象,通过设计适用于高速列车电池组的电压交叉测量方法,使得电池电压和连接板电压与不同的电压传感器相关联,并通过DFD算法对电池组的故障特征进行提取,将电压偏移率与DFD共同作为故障诊断模型的参数输入以提高算法的鲁棒性与可靠性,接着引入DBSCAN算法自动对故障诊断并定位。为了保证算法的实时性,利用基于滑动窗口的遗忘机制实时地对采样数据进行诊断。通过实验对所提出的方法进行验证,结果表明该方法可及时有效地诊断电池组的单体故障与连接故障并准确定位,弥补了高速列车电池组多故障诊断方法研究的缺失,对提高轨道列车的行车安全具有工程实用意义。

以肺部超声为应用的多学科诊疗体系在高原性肺水肿诊疗中的价值

目的探索以肺部超声为应用的多学科诊疗体系在高原性肺水肿诊疗中的价值。方法选取2018—2022年在甘孜州稻城县人民医院急诊科收治的200例疑似高原性肺水肿患者为研究对象,将其中确诊的115例患者按照平衡序贯法随机分为试验组(采用以肺部超声为应用的多学科诊疗体系,n=56)和对照组(采用常规诊疗方式,n=59),比较两组的诊疗效果。结果在早期诊断高原性肺水肿中,肺部超声的灵敏度、正确指数及阴性预测值均高于X线检查结果(P<0.05),而与CT检查结果比较差异无统计学意义(P>0.05)。试验组的诊疗时效性、抗生素使用率、心衰发生率、无创呼吸机上机率、康复期恢复等方面优于对照组(P<0.05)。结论以肺部超声为应用的多学科诊疗体系在高原性肺水肿早期诊断中具有较高的灵敏度、正确指数及阴性预测值,可促进患者愈后及康复。