Purpose-With the deepening integration of rail transit systems-encompassing urban rail,regional railways,trunk lines and medium-low capacity transportation-the four-network integration imposes higher demands on operat...Purpose-With the deepening integration of rail transit systems-encompassing urban rail,regional railways,trunk lines and medium-low capacity transportation-the four-network integration imposes higher demands on operation and maintenance systems regarding cross-modal coordination,full-element interconnectivity and dynamic responsiveness.Design/methodology/approach-This paper,based on policy directives and engineering practices,analyzes the operational maintenance characteristics of urban rail traction systems from perspectives including device interconnectivity and fault data mining.A non-intrusive high-frequency diagnostic device independent of vehicle control is proposed,informed by practical onboard operation experience.This innovation significantly enhances diagnostic accuracy for components requiring high sampling frequency,while integrating“Flash”storage with far greater capacity than conventional control chips.Findings-This article will systematically introduces the key points and diagnostic methods for typical faults in urban rail traction systems.Through rational diagnostic algorithms combined with high-precision,highstorage diagnostic instrumentation,the overall safety and reliability of urban rail traction systems have been improved.The proposed non-intrusive high-frequency diagnostic solution has been validated across multiple rail lines.Originality/value-This paper introduces an innovative non-intrusive diagnostic device with a dual-channel design for multi-system compatibility and a high-speed acquisition architecture enabling 400 kHz sampling.Its originality stems from the independent,high-fidelity capture of microsecond-level transient faults like IGBT shoot-through and pantograph arcing;Validated in operational environments,this approach provides a significant leap in diagnostic precision,directly enhancing traction system availability and operational safety by enabling precise fault localization and intelligent,adaptive protection strategies.展开更多
Aiming at evaluating the stability of a rock mass near a fault,a microseismic(MS) monitoring system was established in Hongtoushan copper mine.The distribution of displacement and log(/),the relationship between MS ac...Aiming at evaluating the stability of a rock mass near a fault,a microseismic(MS) monitoring system was established in Hongtoushan copper mine.The distribution of displacement and log(/),the relationship between MS activity and the exploitation process,and the stability of the rock mass controlled by a fault were studied.The results obtained from microseismic data showed that MS events were mainly concentrated al the footwall of the fault.When the distance to the fault exceeded 20 m,the rock mass reached a relatively stable state.MS activity is closely related to the mining process.Under the strong disturbance from blasting,the initiation and propagation of cracks is much faster.MS activity belongs in the category of aftershocks after large scale excavation.The displacement and log(C/) obtained from MS events can reflect the difference in physical and mechanical behavior of different areas within the rock mass,which is useful in judging the integrity and degradation of the rock mass.展开更多
Condition monitoring is increasingly used to anticipate and detect failures of industrial machines.Failures of machines can cause high maintenance or replacement costs.If neglected,it may result in catastrophic accide...Condition monitoring is increasingly used to anticipate and detect failures of industrial machines.Failures of machines can cause high maintenance or replacement costs.If neglected,it may result in catastrophic accidents leading to production shrinkage.The potential failure would negatively affect the profitability of the company,including production shut down,cost of spare parts,cost of labor,damage of reputation,risk of injury to people and the environment.In recent years,condition-based maintenance( CBM) and prognostic and health management( PHM) are developed and formed a strong connection among science,engineering,computer,reliability,communication,management,etc.Computerized maintenance management systems( CMMS) store a lot of data regarding the fault diagnosis and life prediction of the machinery equipment.It's too necessary to uncover useful knowledge from the huge amount of data.It's vital to find the ways to obtain useful and concise information from these data.This information can be of great influence in the decision making of managers.This article is a review of intelligent approaches in machinery faults diagnosis and prediction based on PHM and CBM.展开更多
基金supported by the Fund of China Academy of Railway Sciences Corporation Limited(2023YJ342).
文摘Purpose-With the deepening integration of rail transit systems-encompassing urban rail,regional railways,trunk lines and medium-low capacity transportation-the four-network integration imposes higher demands on operation and maintenance systems regarding cross-modal coordination,full-element interconnectivity and dynamic responsiveness.Design/methodology/approach-This paper,based on policy directives and engineering practices,analyzes the operational maintenance characteristics of urban rail traction systems from perspectives including device interconnectivity and fault data mining.A non-intrusive high-frequency diagnostic device independent of vehicle control is proposed,informed by practical onboard operation experience.This innovation significantly enhances diagnostic accuracy for components requiring high sampling frequency,while integrating“Flash”storage with far greater capacity than conventional control chips.Findings-This article will systematically introduces the key points and diagnostic methods for typical faults in urban rail traction systems.Through rational diagnostic algorithms combined with high-precision,highstorage diagnostic instrumentation,the overall safety and reliability of urban rail traction systems have been improved.The proposed non-intrusive high-frequency diagnostic solution has been validated across multiple rail lines.Originality/value-This paper introduces an innovative non-intrusive diagnostic device with a dual-channel design for multi-system compatibility and a high-speed acquisition architecture enabling 400 kHz sampling.Its originality stems from the independent,high-fidelity capture of microsecond-level transient faults like IGBT shoot-through and pantograph arcing;Validated in operational environments,this approach provides a significant leap in diagnostic precision,directly enhancing traction system availability and operational safety by enabling precise fault localization and intelligent,adaptive protection strategies.
基金financially supported by Projects of the National Key Technology R&D Program of China(Nos.2013BAB02B01 and2013BAB02B03)the National Natural Science Foundation of China(Nos.51274055 and 51204030)+1 种基金the Fundamental Research Funds for the Central University of China(Nos.N130401006,N120801002 and N120701001)the Key Science&Technology Special Project of Third Five-Year Plan of MCC(No.0012012009)
文摘Aiming at evaluating the stability of a rock mass near a fault,a microseismic(MS) monitoring system was established in Hongtoushan copper mine.The distribution of displacement and log(/),the relationship between MS activity and the exploitation process,and the stability of the rock mass controlled by a fault were studied.The results obtained from microseismic data showed that MS events were mainly concentrated al the footwall of the fault.When the distance to the fault exceeded 20 m,the rock mass reached a relatively stable state.MS activity is closely related to the mining process.Under the strong disturbance from blasting,the initiation and propagation of cracks is much faster.MS activity belongs in the category of aftershocks after large scale excavation.The displacement and log(C/) obtained from MS events can reflect the difference in physical and mechanical behavior of different areas within the rock mass,which is useful in judging the integrity and degradation of the rock mass.
基金Fundamental Research Funds for the Central Universities,China(No.DUT17GF214)
文摘Condition monitoring is increasingly used to anticipate and detect failures of industrial machines.Failures of machines can cause high maintenance or replacement costs.If neglected,it may result in catastrophic accidents leading to production shrinkage.The potential failure would negatively affect the profitability of the company,including production shut down,cost of spare parts,cost of labor,damage of reputation,risk of injury to people and the environment.In recent years,condition-based maintenance( CBM) and prognostic and health management( PHM) are developed and formed a strong connection among science,engineering,computer,reliability,communication,management,etc.Computerized maintenance management systems( CMMS) store a lot of data regarding the fault diagnosis and life prediction of the machinery equipment.It's too necessary to uncover useful knowledge from the huge amount of data.It's vital to find the ways to obtain useful and concise information from these data.This information can be of great influence in the decision making of managers.This article is a review of intelligent approaches in machinery faults diagnosis and prediction based on PHM and CBM.
