The Motor Fault Diagnosis Based on Current Signal with Graph Attention Network
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-3925-1_21
Reference37 articles.
1. Mbo’o, C.P., Hameyer, K.: Fault diagnosis of bearing damage by means of the linear discriminant analysis of stator current features from the frequency selection. IEEE Trans. Ind. Appl. 52(5), 3861–3868 (2016)
2. Shahriar, M.R., Borghesani, P., Tan, A.C.: Electrical signature analysis-based detection of external bearing faults in electromechanical drivetrains. IEEE Trans. Ind. Electron. 65(7), 5941–5950 (2017)
3. Jing, L., Zhao, M., Li, P., Xu, X.: A convolutional neural network based feature learning and fault diagnosis method for the condition monitoring of gearbox. Measurement 111, 1–10 (2017)
4. Nayana, B., Geethanjali, P.: Analysis of statistical time-domain features effectiveness in identification of bearing faults from vibration signal. IEEE Sens. J. 17(17), 5618–5625 (2017)
5. Maruthi, G., Hegde, V.: Application of mems accelerometer for detection and diagnosis of multiple faults in the roller element bearings of three phase induction motor. IEEE Sens. J. 16(1), 145–152 (2015)
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