Single-step prediction of motor fault current based on LSTM

Jie Wei; Bin Jiao

doi:10.1117/12.3052789

11 December 2024 Single-step prediction of motor fault current based on LSTM

Jie Wei, Bin Jiao

Proceedings Volume 13445, International Conference on Electronics, Electrical and Information Engineering (ICEEIE 2024); 134451L (2024) https://doi.org/10.1117/12.3052789
Event: International Conference on Electronics. Electrical and Information Engineering (ICEEIE 2024), 2024, Haikou, China

Abstract

Fault prediction and diagnosis of induction motor is very important for the smooth operation of industrial production environment. The most common fault of asynchronous motor is the short circuit between rotor broken bar and turns. However, it is difficult to collect the fault current signal of motor in actual industry. So, establishing an accurate and stable current signal prediction model is of great significance for fault prediction and diagnosis. This paper presents the prediction of motor fault current signal based on LSTM (Long short-term memory neural network), which provides important reference for the subsequent motor fault diagnosis technology.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jie Wei and Bin Jiao "Single-step prediction of motor fault current based on LSTM", Proc. SPIE 13445, International Conference on Electronics, Electrical and Information Engineering (ICEEIE 2024), 134451L (11 December 2024); https://doi.org/10.1117/12.3052789

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