Anomaly Detection and Classification for PHM of Electronics Subjected to Shock and Vibration

Author:

Lall Pradeep,Gupta Prashant,Angral Arjun

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Electronic, Optical and Magnetic Materials

Cited by 19 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. TinyML Anomaly Detection for Industrial Machines with Periodic Duty Cycles;2024 IEEE Sensors Applications Symposium (SAS);2024-07-23

2. Artificial Intelligence-Based Methods for Assessment of Accrued Damage and Remaining Use-Life in Automotive Underhood Electronics;2024 Pan Pacific Strategic Electronics Symposium (Pan Pacific);2024-01-29

3. Influence of Temperature on Bond Wire Fatigue of Gate Loops in IGBT Modules under Sinusoidal Vibration Stress;2023 11th International Conference on Power Electronics and ECCE Asia (ICPE 2023 - ECCE Asia);2023-05-22

4. AI and Feature-Vector Based Damage Monitoring and Remaining Useful-Life Assessment for Electronics Assemblies in Mechanical Shock and Vibration;2023 24th International Conference on Thermal, Mechanical and Multi-Physics Simulation and Experiments in Microelectronics and Microsystems (EuroSimE);2023-04-17

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