Fault isolation and diagnosis of induction motor based on multi-sensor data fusion
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/7085977/7093233/07093286.pdf?arnumber=7093286
Cited by 6 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. Fault-Tolerant Analysis of Kalman Filter Sensor Fusion for Sensorless Control of a Multiphase Machine;2023 IEEE 14th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED);2023-08-28
2. Research on Motor Fault Warning Technology Based on Second-Order Volterra Series;Lecture Notes in Mechanical Engineering;2019-07-05
3. Fault detection and isolation based on fuzzy‐integral fusion approach;IET Science, Measurement & Technology;2019-03
4. Application of fuzzy data fusion theory in fault diagnosis of rotating machinery;Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering;2018-05-19
5. Information Fusion With Belief Functions for Detection of Interturn Short-Circuit Faults in Electrical Machines Using External Flux Sensors;IEEE Transactions on Industrial Electronics;2018-03
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