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On-line fault detection method for induction machines based on signal convolution

  • Published:2010-05-20 Issue:1 Volume:21 Page:475-488
  • ISSN:1430-144X
  • Container-title:European Transactions on Electrical Power
  • language:en
  • Short-container-title:Euro. Trans. Electr. Power

Author:

Cusido Jordi,Romeral Luis,Espinosa Antonio Garcia,Ortega Juan Antonio,Riba Ruiz Jordi-Roger

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Reference27 articles.

1. Online detection of broken rotor bars in induction motors by wavelet packet decomposition and artificial neural networks;Sadeghian;IEEE Transactions on Instrumentation and Measurement,2009

2. An approach for bearing fault detection in electrical motors;Bilginer Gulmezoglu;European Transactions on Electrical Power,2007

3. Condition monitoring and fault diagnosis of electrical motors - a review;Nandi;IEEE Transactions on Energy Conversion,2005

4. A spectral method for on-line computation of the harmonics of symmetrical components in induction machines;Assaf;European Transactions on Electrical Power,2005

5. Mechanical fault detection in a medium-sized induction motor using stator current monitoring;Knight;IEEE Transactions on Energy Conversion,2005

Cited by 22 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. Variable speed induction motors’ fault detection based on transient motor current signatures analysis: A review;Mechanical Systems and Signal Processing;2023-02

2. Quaternion Fourier Transform spectral analysis of electrical currents for bearing faults detection and diagnosis;Mechanical Systems and Signal Processing;2022-04

3. Motor Current Signature Analysis Using Shapelet;Proceedings of the 27th International Conference on Systems Engineering, ICSEng 2020;2021

4. On‐line detection and estimation of harmonics components in induction motors rotor fault through a modified Prony's method;International Transactions on Electrical Energy Systems;2020-12-17

5. Review on Machine Learning Algorithm Based Fault Detection in Induction Motors;Archives of Computational Methods in Engineering;2020-06-15
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