为更好地进行铁路机务设备工作状态管理,降低维修成本,设计并实现了基于设备健康管理(EHM,Equipment Health Management)理念的铁路机务设备大数据健康管理系统。该系统通过层次分析法、自回归(AR,Autoregressive)模型、支持向量机(SVM,...为更好地进行铁路机务设备工作状态管理,降低维修成本,设计并实现了基于设备健康管理(EHM,Equipment Health Management)理念的铁路机务设备大数据健康管理系统。该系统通过层次分析法、自回归(AR,Autoregressive)模型、支持向量机(SVM,Support Vector Machine)模型,实现了铁路机务设备运行状态实时监测、健康趋势预测分析(准确率到达96.2%)、故障预测分析(准确率到达99.08%)、风险评估预警等功能。系统的运用有效的降低铁路机务设备维修成本,为铁路机务设备的信息化健康管理起到示范作用。展开更多
Integrated data and energy transfer(IDET)enables the electromagnetic waves to transmit wireless energy at the same time of data delivery for lowpower devices.In this paper,an energy harvesting modulation(EHM)assisted ...Integrated data and energy transfer(IDET)enables the electromagnetic waves to transmit wireless energy at the same time of data delivery for lowpower devices.In this paper,an energy harvesting modulation(EHM)assisted multi-user IDET system is studied,where all the received signals at the users are exploited for energy harvesting without the degradation of wireless data transfer(WDT)performance.The joint IDET performance is then analysed theoretically by conceiving a practical time-dependent wireless channel.With the aid of the AO based algorithm,the average effective data rate among users are maximized by ensuring the BER and the wireless energy transfer(WET)performance.Simulation results validate and evaluate the IDET performance of the EHM assisted system,which also demonstrates that the optimal number of user clusters and IDET time slots should be allocated,in order to improve the WET and WDT performance.展开更多
军队维修体制从传统的定期维修、预防性维修向以可靠性维修(reliability centered maintenance,RCM)为指导的状态维修(condition based maintenance,CBM)和设备健康状态管理(equipment health management,EHM)方式过渡,是军...军队维修体制从传统的定期维修、预防性维修向以可靠性维修(reliability centered maintenance,RCM)为指导的状态维修(condition based maintenance,CBM)和设备健康状态管理(equipment health management,EHM)方式过渡,是军队维修工程信息化、智能化管理进程中的必经之路。介绍了状态维修的基本概念及层次结构,对其国内外应用现状及主要应用价值进行了分析,阐述了CBM在我军维修工程中的实施对策及对三级维修体制的影响。展开更多
Testing is the premise and foundation of realizing equipment health management (EHM). To address the problem that the static periodic test strategy may cause deficient test or excessive test, a dynamic sequential te...Testing is the premise and foundation of realizing equipment health management (EHM). To address the problem that the static periodic test strategy may cause deficient test or excessive test, a dynamic sequential test strategy (DSTS) for EHM is presented. Considering the situation that equipment health state is not completely observable in reality, a DSTS optimization method based on partially observable semi-Markov decision pro- cess (POSMDP) is proposed. Firstly, an equipment health state degradation model is constructed by Markov process, and the control limit maintenance policy is also introduced. Secondly, POSMDP is formulated in great detail. And then, POSMDP is converted to completely observable belief semi-Markov decision process (BSMDP) through belief state. The optimal equation and the corresponding optimal DSTS, which minimize the long-run ex- pected average cost per unit time, are obtained with BSMDP. The results of application in complex equipment show that the proposed DSTS is feasible and effective.展开更多
基于涡轴发动机的健康管理技术,开发了用于台架试验和试飞阶段的涡轴发动机的健康管理(Engine Health Management,EHM)系统,介绍了该系统所采用的若干技术,包括总体概貌及软件系统的总体构架,监视参数的统计方法,提出了系统的改进方案,...基于涡轴发动机的健康管理技术,开发了用于台架试验和试飞阶段的涡轴发动机的健康管理(Engine Health Management,EHM)系统,介绍了该系统所采用的若干技术,包括总体概貌及软件系统的总体构架,监视参数的统计方法,提出了系统的改进方案,并讨论了涡轮叶片寿命预测方法及损伤预测步骤。该系统已在中国首款自行研制的涡轴发动机的台架试验和试飞中得到应用和验证,对类似系统的开发具有一定的参考和借鉴作用。展开更多
为更好地进行核电厂集散控制系统(DCS,Distributed Control System)设备工作状态管理,降低运维成本,设计了基于设备健康管理(EHM,Equipment Health Management)理念的核电DCS设备大数据健康管理系统。该系统通过对DCS系统设备的海量数...为更好地进行核电厂集散控制系统(DCS,Distributed Control System)设备工作状态管理,降低运维成本,设计了基于设备健康管理(EHM,Equipment Health Management)理念的核电DCS设备大数据健康管理系统。该系统通过对DCS系统设备的海量数据管理,实现了设备运行状态实时监测、健康状态预测分析、故障模式自动化分析、故障风险评估预警等功能。系统的运用有效地消除影响机组安全稳定运行的不健康因素,提升DCS系统故障处理的智能化和标准化水平,降低人因失误的风险,填补国内在该技术领域的空白,满足核电厂DCS系统设备可靠性管理方面的迫切需求,为核电厂DCS系统设备的信息化健康管理起到示范作用。展开更多
文摘为更好地进行铁路机务设备工作状态管理,降低维修成本,设计并实现了基于设备健康管理(EHM,Equipment Health Management)理念的铁路机务设备大数据健康管理系统。该系统通过层次分析法、自回归(AR,Autoregressive)模型、支持向量机(SVM,Support Vector Machine)模型,实现了铁路机务设备运行状态实时监测、健康趋势预测分析(准确率到达96.2%)、故障预测分析(准确率到达99.08%)、风险评估预警等功能。系统的运用有效的降低铁路机务设备维修成本,为铁路机务设备的信息化健康管理起到示范作用。
基金supported in part by the MOST Major Research and Development Project(Grant No.2021YFB2900204)the National Natural Science Foundation of China(NSFC)(Grant No.62201123,No.62132004,No.61971102)+3 种基金China Postdoctoral Science Foundation(Grant No.2022TQ0056)in part by the financial support of the Sichuan Science and Technology Program(Grant No.2022YFH0022)Sichuan Major R&D Project(Grant No.22QYCX0168)the Municipal Government of Quzhou(Grant No.2022D031)。
文摘Integrated data and energy transfer(IDET)enables the electromagnetic waves to transmit wireless energy at the same time of data delivery for lowpower devices.In this paper,an energy harvesting modulation(EHM)assisted multi-user IDET system is studied,where all the received signals at the users are exploited for energy harvesting without the degradation of wireless data transfer(WDT)performance.The joint IDET performance is then analysed theoretically by conceiving a practical time-dependent wireless channel.With the aid of the AO based algorithm,the average effective data rate among users are maximized by ensuring the BER and the wireless energy transfer(WET)performance.Simulation results validate and evaluate the IDET performance of the EHM assisted system,which also demonstrates that the optimal number of user clusters and IDET time slots should be allocated,in order to improve the WET and WDT performance.
文摘军队维修体制从传统的定期维修、预防性维修向以可靠性维修(reliability centered maintenance,RCM)为指导的状态维修(condition based maintenance,CBM)和设备健康状态管理(equipment health management,EHM)方式过渡,是军队维修工程信息化、智能化管理进程中的必经之路。介绍了状态维修的基本概念及层次结构,对其国内外应用现状及主要应用价值进行了分析,阐述了CBM在我军维修工程中的实施对策及对三级维修体制的影响。
基金supported by the National Natural Science Foundation of China (51175502)
文摘Testing is the premise and foundation of realizing equipment health management (EHM). To address the problem that the static periodic test strategy may cause deficient test or excessive test, a dynamic sequential test strategy (DSTS) for EHM is presented. Considering the situation that equipment health state is not completely observable in reality, a DSTS optimization method based on partially observable semi-Markov decision pro- cess (POSMDP) is proposed. Firstly, an equipment health state degradation model is constructed by Markov process, and the control limit maintenance policy is also introduced. Secondly, POSMDP is formulated in great detail. And then, POSMDP is converted to completely observable belief semi-Markov decision process (BSMDP) through belief state. The optimal equation and the corresponding optimal DSTS, which minimize the long-run ex- pected average cost per unit time, are obtained with BSMDP. The results of application in complex equipment show that the proposed DSTS is feasible and effective.
文摘基于涡轴发动机的健康管理技术,开发了用于台架试验和试飞阶段的涡轴发动机的健康管理(Engine Health Management,EHM)系统,介绍了该系统所采用的若干技术,包括总体概貌及软件系统的总体构架,监视参数的统计方法,提出了系统的改进方案,并讨论了涡轮叶片寿命预测方法及损伤预测步骤。该系统已在中国首款自行研制的涡轴发动机的台架试验和试飞中得到应用和验证,对类似系统的开发具有一定的参考和借鉴作用。
文摘为更好地进行核电厂集散控制系统(DCS,Distributed Control System)设备工作状态管理,降低运维成本,设计了基于设备健康管理(EHM,Equipment Health Management)理念的核电DCS设备大数据健康管理系统。该系统通过对DCS系统设备的海量数据管理,实现了设备运行状态实时监测、健康状态预测分析、故障模式自动化分析、故障风险评估预警等功能。系统的运用有效地消除影响机组安全稳定运行的不健康因素,提升DCS系统故障处理的智能化和标准化水平,降低人因失误的风险,填补国内在该技术领域的空白,满足核电厂DCS系统设备可靠性管理方面的迫切需求,为核电厂DCS系统设备的信息化健康管理起到示范作用。