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- 摘要
- 关键词
- 实验方案
- 产品
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[IEEE 2018 Prognostics and System Health Management Conference (PHM-Chongqing) - Chongqing, China (2018.10.26-2018.10.28)] 2018 Prognostics and System Health Management Conference (PHM-Chongqing) - A Remaining Useful Life Prediction Method for T/R Module Based on Index Similarity
摘要： T/R module is an important part of large phased array radar antenna array, the remaining useful life (RUL) prediction is of great significance for equipment support personnel to master current health status and improve maintenance support ability. At first, the key indexes of multi-state degradation are extracted by association rule, by calculating the similarity of the key indexes and combining the RUL of similar samples, the RUL information corresponding to the key indexes is obtained. The RUL prediction results of T/R module are obtained according to the weight of different indexes. The practicability and effectiveness of the proposed method are verified by example analysis and comparison, which provide theoretical guidance for the RUL prediction of electronic equipment. The proposed method is of great significance for maintenance support personnel of the military equipment to plan the maintenance resources reasonably and improve the combat effectiveness of the equipment.
关键词： index,T/R module,association rule,multi-state degradation,remaining useful life prediction,entropy weight method
更新于2025-09-23 15:22:29
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[IEEE 2019 International Conference on Power Electronics, Control and Automation (ICPECA) - New Delhi, India (2019.11.16-2019.11.17)] 2019 International Conference on Power Electronics, Control and Automation (ICPECA) - Hybrid algorithm for reactive power control in grid integrated Photovoltaic inverters
摘要： Prognostics and systems health management (PHM) is an enabling discipline that uses sensors to assess the health of systems, diagnoses anomalous behavior, and predicts the remaining useful performance over the life of the asset. The advent of the Internet of Things (IoT) enables PHM to be applied to all types of assets across all sectors, thereby creating a paradigm shift that is opening up significant new business opportunities. This paper introduces the concepts of PHM and discusses the opportunities provided by the IoT. Developments are illustrated with examples of innovations from manufacturing, consumer products, and infrastructure. From this review, a number of challenges that result from the rapid adoption of IoT-based PHM are identified. These include appropriate analytics, security, IoT platforms, sensor energy harvesting, IoT business models, and licensing approaches.
关键词： remaining useful life,reliability,Internet of things,prognostics and systems health management,maintenance
更新于2025-09-19 17:13:59
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[IEEE 2019 International Conference on Microwave and Millimeter Wave Technology (ICMMT) - Guangzhou, China (2019.5.19-2019.5.22)] 2019 International Conference on Microwave and Millimeter Wave Technology (ICMMT) - Quasi-Time-Invariant Range-Angle-Decoupled Beampattern Synthesis of Frequency Diverse Arrays
摘要： Prognostics and systems health management (PHM) is an enabling discipline that uses sensors to assess the health of systems, diagnoses anomalous behavior, and predicts the remaining useful performance over the life of the asset. The advent of the Internet of Things (IoT) enables PHM to be applied to all types of assets across all sectors, thereby creating a paradigm shift that is opening up significant new business opportunities. This paper introduces the concepts of PHM and discusses the opportunities provided by the IoT. Developments are illustrated with examples of innovations from manufacturing, consumer products, and infrastructure. From this review, a number of challenges that result from the rapid adoption of IoT-based PHM are identified. These include appropriate analytics, security, IoT platforms, sensor energy harvesting, IoT business models, and licensing approaches.
关键词： remaining useful life,reliability,Internet of things,prognostics and systems health management,maintenance
更新于2025-09-16 10:30:52
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Spatial Aggregation of Small-scale Photovoltaic Generation Using Voronoi Decomposition
摘要： Prognostics and systems health management (PHM) is an enabling discipline that uses sensors to assess the health of systems, diagnoses anomalous behavior, and predicts the remaining useful performance over the life of the asset. The advent of the Internet of Things (IoT) enables PHM to be applied to all types of assets across all sectors, thereby creating a paradigm shift that is opening up significant new business opportunities. This paper introduces the concepts of PHM and discusses the opportunities provided by the IoT. Developments are illustrated with examples of innovations from manufacturing, consumer products, and infrastructure. From this review, a number of challenges that result from the rapid adoption of IoT-based PHM are identified. These include appropriate analytics, security, IoT platforms, sensor energy harvesting, IoT business models, and licensing approaches.
关键词： remaining useful life,maintenance,prognostics and systems health management,reliability,Internet of things
更新于2025-09-16 10:30:52
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[IEEE 2019 International Conference on Communications, Information System and Computer Engineering (CISCE) - Haikou, China (2019.7.5-2019.7.7)] 2019 International Conference on Communications, Information System and Computer Engineering (CISCE) - Remaining Useful Lifetime Prediction of Semiconductor Lasers Using Radiation-Induced Model and Particle Filtering Method
摘要： The main factor, which leads to semiconductor lasers degradation in space mission experiments, is the introduction of lattice defects in the detector material produced by radiation. Therefore, a new remaining useful life (RUL)prediction method considering radiation effect is presented. The prediction method is based on failure mechanisms and particle filters, which realizes the combination of a physical model and data-driven method. The particle filters can abundantly employ degradation data and avoid ignoring the failure mechanism. Accelerated degradation testing (ADT) is proposed for effectively assessing the proposed prediction method, in which the proton radiation is selected as the accelerated stress. The prediction results are compared with other methods to verify the accuracy and effectiveness of the proposed prediction method.
关键词： Particle filter,Remaining useful life,radiation effect,Physics of failure,Accelerated degradation test
更新于2025-09-11 14:15:04