Carrying out experiments and researches on tool bre ak age and undercut of work-piece of free-form surface by using wavelet analysis, both the fault features can be extracted in a special frequency segment of wave let...Carrying out experiments and researches on tool bre ak age and undercut of work-piece of free-form surface by using wavelet analysis, both the fault features can be extracted in a special frequency segment of wave let decompose. According to the feature of transient fault, the author proposes for the first time the automatic determination technology of the threshold by us e of the adaptive filter characteristic of wavelet transform. Based on profound researches on steady fault feature, this dissertation makes an effective token o f steady fault feature by using wavelet energy method, and proposes the new idea to identify cut-in case and cut-out case, thereby successfully gives an uniqu e description quantitatively on the characterization of the variation of fault a nd cutting condition in the monitoring system.展开更多
This study has been conducted with the purpose of determining the hydroelectric potential that can be utilized by Cine dam which will be constructed for irrigation, overflow control and for energy production purposes ...This study has been conducted with the purpose of determining the hydroelectric potential that can be utilized by Cine dam which will be constructed for irrigation, overflow control and for energy production purposes on the Cine stream (which is located as an important arm of Büyük Menderes River in Turkey). The study will also compare other research conducted by various organizations. In order to determine the hydroelectric energy potential, the SIMAHPP 4 (Simulate and Assess the Feasibility of Hydropower Projects) professional software has been utilized. It has been observed that the calculated hydroelectric potential conforms to energy potential calculated by other organizations such as DSI (State Hydraulic Works). Especially the turbine power, installed power, turbine design flow rate and annual energy production values in the studies have been realized with close values to the real ones. The power plant which is planned to have an average of natural streams of the past 43 years has been designed with an annual power production capacity of 210.87 GWh/year (without regulation ratio) and with installed power of 48,144 MW along with a design flow rate of 35 m<sub>3</sub>/s. As a result, since these water structures have high costs associated with them and also since they will have to be functional for many years, it will be beneficial to use various different computational methods.展开更多
The inertial navigation system(INS),which is frequently used in emergency rescue operations and other situations,has the benefits of not relying on infrastructure,high positioning frequency,and strong real-time perfor...The inertial navigation system(INS),which is frequently used in emergency rescue operations and other situations,has the benefits of not relying on infrastructure,high positioning frequency,and strong real-time performance.However,the intricate and unpredictable pedestrian motion patterns lead the INS localization error to significantly diverge with time.This paper aims to enhance the accuracy of zero-velocity interval(ZVI)detection and reduce the heading and altitude drift of foot-mounted INS via deep learning and equation constraint of dual feet.Aiming at the observational noise problem of low-cost inertial sensors,we utilize a denoising autoencoder to automatically eliminate the inherent noise.Aiming at the problem that inaccurate detection of the ZVI detection results in obvious displacement error,we propose a sample-level ZVI detection algorithm based on the U-Net neural network,which effectively solves the problem of mislabeling caused by sliding windows.Aiming at the problem that Zero-Velocity Update(ZUPT)cannot suppress heading and altitude error,we propose a bipedal INS method based on the equation constraint and ellipsoid constraint,which uses foot-to-foot distance as a new observation to correct heading and altitude error.We conduct extensive and well-designed experiments to evaluate the performance of the proposed method.The experimental results indicate that the position error of our proposed method did not exceed 0.83% of the total traveled distance.展开更多
文摘Carrying out experiments and researches on tool bre ak age and undercut of work-piece of free-form surface by using wavelet analysis, both the fault features can be extracted in a special frequency segment of wave let decompose. According to the feature of transient fault, the author proposes for the first time the automatic determination technology of the threshold by us e of the adaptive filter characteristic of wavelet transform. Based on profound researches on steady fault feature, this dissertation makes an effective token o f steady fault feature by using wavelet energy method, and proposes the new idea to identify cut-in case and cut-out case, thereby successfully gives an uniqu e description quantitatively on the characterization of the variation of fault a nd cutting condition in the monitoring system.
文摘This study has been conducted with the purpose of determining the hydroelectric potential that can be utilized by Cine dam which will be constructed for irrigation, overflow control and for energy production purposes on the Cine stream (which is located as an important arm of Büyük Menderes River in Turkey). The study will also compare other research conducted by various organizations. In order to determine the hydroelectric energy potential, the SIMAHPP 4 (Simulate and Assess the Feasibility of Hydropower Projects) professional software has been utilized. It has been observed that the calculated hydroelectric potential conforms to energy potential calculated by other organizations such as DSI (State Hydraulic Works). Especially the turbine power, installed power, turbine design flow rate and annual energy production values in the studies have been realized with close values to the real ones. The power plant which is planned to have an average of natural streams of the past 43 years has been designed with an annual power production capacity of 210.87 GWh/year (without regulation ratio) and with installed power of 48,144 MW along with a design flow rate of 35 m<sub>3</sub>/s. As a result, since these water structures have high costs associated with them and also since they will have to be functional for many years, it will be beneficial to use various different computational methods.
基金supported in part by National Key Research and Development Program under Grant No.2020YFB1708800China Postdoctoral Science Foundation under Grant No.2021M700385+5 种基金Guang Dong Basic and Applied Basic Research Foundation under Grant No.2021A1515110577Guangdong Key Research and Development Program under Grant No.2020B0101130007Central Guidance on Local Science and Technology Development Fund of Shanxi Province under Grant No.YDZJSX2022B019Fundamental Research Funds for Central Universities under Grant No.FRF-MP-20-37Interdisciplinary Research Project for Young Teachers of USTB(Fundamental Research Funds for the Central Universities)under Grant No.FRF-IDRY-21-005National Natural Science Foundation of China under Grant No.62002026。
文摘The inertial navigation system(INS),which is frequently used in emergency rescue operations and other situations,has the benefits of not relying on infrastructure,high positioning frequency,and strong real-time performance.However,the intricate and unpredictable pedestrian motion patterns lead the INS localization error to significantly diverge with time.This paper aims to enhance the accuracy of zero-velocity interval(ZVI)detection and reduce the heading and altitude drift of foot-mounted INS via deep learning and equation constraint of dual feet.Aiming at the observational noise problem of low-cost inertial sensors,we utilize a denoising autoencoder to automatically eliminate the inherent noise.Aiming at the problem that inaccurate detection of the ZVI detection results in obvious displacement error,we propose a sample-level ZVI detection algorithm based on the U-Net neural network,which effectively solves the problem of mislabeling caused by sliding windows.Aiming at the problem that Zero-Velocity Update(ZUPT)cannot suppress heading and altitude error,we propose a bipedal INS method based on the equation constraint and ellipsoid constraint,which uses foot-to-foot distance as a new observation to correct heading and altitude error.We conduct extensive and well-designed experiments to evaluate the performance of the proposed method.The experimental results indicate that the position error of our proposed method did not exceed 0.83% of the total traveled distance.
