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
Time stress includes all kinds of environment and operating stress such as shock, vibration, temperature and electric current that the electromechanical system suffers in the manufacture, transport and operating proce...Time stress includes all kinds of environment and operating stress such as shock, vibration, temperature and electric current that the electromechanical system suffers in the manufacture, transport and operating process. In this paper, the conception of time stress and prognostics and health management ( PHM) system are introduced. Then, in order to improve the false alarm recognition and fault prediction capabilities of the electromechanical equipment, a novel PHM architecture for electromechanical equipment is put forward based on a built-in test (BIT) system design technology and time stress analysis method. Finally, the structure, the design and implementing method and the functions of each module of this PHM system are described in detail.展开更多
Objective:To introduce the emergency management of nursing human resources and supplies of a large general hospital when facing the outbreak of coronavirus disease 2019(COVID-19).Method:The Nursing Department of the h...Objective:To introduce the emergency management of nursing human resources and supplies of a large general hospital when facing the outbreak of coronavirus disease 2019(COVID-19).Method:The Nursing Department of the hospital fully executed its functional authority to establish a three-level echelon of sustainable support,allocate human recourses dynamically,organize pre-service training,supervise the key working steps,formulate positive incentive methods,and deploy medical supplies scientifically.Result:By taking these strategies,the hospital effectively improved the coping capacity of the nursing team and played a positive role in the prevention and treatment of COVID-19.Conclusion:The emergency management of nursing human resources and material resources for COVID-19 of the hospital is successful.But several deficiencies were identified as well,which indicated that the hospital needs to establish an efficient emergency management system,and pay attention to the practice of nursing emergency plans to enhance coping capacities in public health emergencies.展开更多
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
With the development of information technology,the concept of smart healthcare has gradually come to the fore.Smart healthcare uses a new generation of information technologies,such as the internet of things(IoT),big ...With the development of information technology,the concept of smart healthcare has gradually come to the fore.Smart healthcare uses a new generation of information technologies,such as the internet of things(IoT),big data,cloud computing,and artificial intelligence,to transform the traditional medical system in an all-round way,making healthcare more efficient,more convenient,and more personalized.With the aim of introducing the concept of smart healthcare,in this review,we first list the key technologies that support smart healthcare and introduce the current status of smart healthcare in several important fields.Then we expound the existing problems with smart healthcare and try to propose solutions to them.Finally,we look ahead and evaluate the future prospects of smart healthcare.展开更多
针对现有城市轨道交通(简称:城轨)设备状态信息采集不完整、设备运维管理缺少决策支持数据、各专业运维业务缺乏统筹协调、运维效率低等现实问题,着眼于城轨设备综合运维管理,基于故障预测与健康管理(PHM,Prognostics Health Management...针对现有城市轨道交通(简称:城轨)设备状态信息采集不完整、设备运维管理缺少决策支持数据、各专业运维业务缺乏统筹协调、运维效率低等现实问题,着眼于城轨设备综合运维管理,基于故障预测与健康管理(PHM,Prognostics Health Management)理念,提出城轨设备智能运维系统的总体架构和功能框架,探讨亟需深入研究的关键技术。该系统通过采集和利用大量设备监测数据,利用故障诊断模型、人工智能算法和工作流引擎,在实现关键设备健康管理的基础上,自动生成设备运维计划,辅助设备运维管理决策,支持多业务作业协同,有助于提高城轨设备整体运维效能,提高城轨设备健康水平和性能,最小化停运时间,降低维修保障费用,保障城轨安全、可靠、高效运营。展开更多
列车运行控制系统车载设备(简称:列控车载设备)是一种高度集成化的电子设备,针对其维护难点,提出将故障预测及健康管理(PHM,Prognostics and Health Management)技术引入列控车载设备维护。文章基于设备全生命周期管理理念,提出列控车...列车运行控制系统车载设备(简称:列控车载设备)是一种高度集成化的电子设备,针对其维护难点,提出将故障预测及健康管理(PHM,Prognostics and Health Management)技术引入列控车载设备维护。文章基于设备全生命周期管理理念,提出列控车载设备PHM实施方案,将设备功能需求与维修需求融合一体,使列控车载设备PHM系统的研发与列控车载设备的升级改造相协调,通过列控车载设备加装升级、数据处理与分析系统建设,在完善列控车载设备BIT和数据采集与分析功能的基础上,构建列控车载设备健康评估系统。并制定了列控车载设备PHM实施计划,稳步推进相关设备研制及系统研发与建设工作,使维修保障部门能够在列控车载设备健康评估系统支持下高效协同工作,实现故障处置闭环管理,推动列控车载设备维修转向视情维修模式。展开更多
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Time stress includes all kinds of environment and operating stress such as shock, vibration, temperature and electric current that the electromechanical system suffers in the manufacture, transport and operating process. In this paper, the conception of time stress and prognostics and health management ( PHM) system are introduced. Then, in order to improve the false alarm recognition and fault prediction capabilities of the electromechanical equipment, a novel PHM architecture for electromechanical equipment is put forward based on a built-in test (BIT) system design technology and time stress analysis method. Finally, the structure, the design and implementing method and the functions of each module of this PHM system are described in detail.
文摘Objective:To introduce the emergency management of nursing human resources and supplies of a large general hospital when facing the outbreak of coronavirus disease 2019(COVID-19).Method:The Nursing Department of the hospital fully executed its functional authority to establish a three-level echelon of sustainable support,allocate human recourses dynamically,organize pre-service training,supervise the key working steps,formulate positive incentive methods,and deploy medical supplies scientifically.Result:By taking these strategies,the hospital effectively improved the coping capacity of the nursing team and played a positive role in the prevention and treatment of COVID-19.Conclusion:The emergency management of nursing human resources and material resources for COVID-19 of the hospital is successful.But several deficiencies were identified as well,which indicated that the hospital needs to establish an efficient emergency management system,and pay attention to the practice of nursing emergency plans to enhance coping capacities in public health emergencies.
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。
文摘With the development of information technology,the concept of smart healthcare has gradually come to the fore.Smart healthcare uses a new generation of information technologies,such as the internet of things(IoT),big data,cloud computing,and artificial intelligence,to transform the traditional medical system in an all-round way,making healthcare more efficient,more convenient,and more personalized.With the aim of introducing the concept of smart healthcare,in this review,we first list the key technologies that support smart healthcare and introduce the current status of smart healthcare in several important fields.Then we expound the existing problems with smart healthcare and try to propose solutions to them.Finally,we look ahead and evaluate the future prospects of smart healthcare.
文摘针对现有城市轨道交通(简称:城轨)设备状态信息采集不完整、设备运维管理缺少决策支持数据、各专业运维业务缺乏统筹协调、运维效率低等现实问题,着眼于城轨设备综合运维管理,基于故障预测与健康管理(PHM,Prognostics Health Management)理念,提出城轨设备智能运维系统的总体架构和功能框架,探讨亟需深入研究的关键技术。该系统通过采集和利用大量设备监测数据,利用故障诊断模型、人工智能算法和工作流引擎,在实现关键设备健康管理的基础上,自动生成设备运维计划,辅助设备运维管理决策,支持多业务作业协同,有助于提高城轨设备整体运维效能,提高城轨设备健康水平和性能,最小化停运时间,降低维修保障费用,保障城轨安全、可靠、高效运营。
文摘列车运行控制系统车载设备(简称:列控车载设备)是一种高度集成化的电子设备,针对其维护难点,提出将故障预测及健康管理(PHM,Prognostics and Health Management)技术引入列控车载设备维护。文章基于设备全生命周期管理理念,提出列控车载设备PHM实施方案,将设备功能需求与维修需求融合一体,使列控车载设备PHM系统的研发与列控车载设备的升级改造相协调,通过列控车载设备加装升级、数据处理与分析系统建设,在完善列控车载设备BIT和数据采集与分析功能的基础上,构建列控车载设备健康评估系统。并制定了列控车载设备PHM实施计划,稳步推进相关设备研制及系统研发与建设工作,使维修保障部门能够在列控车载设备健康评估系统支持下高效协同工作,实现故障处置闭环管理,推动列控车载设备维修转向视情维修模式。