Multi-Level Stator Winding Failure Analysis on the Insulation Material for Industrial Induction Motor
Author:
Publisher
Springer Science and Business Media LLC
Subject
Mechanical Engineering,Mechanics of Materials
Link
https://link.springer.com/content/pdf/10.1007/s40799-021-00490-0.pdf
Reference54 articles.
1. Verma AK, Radhika S, Padmanabhan S (2018) Wavelet based fault detection and diagnosis using online mcsa of stator winding faults due to insulation failure in industrial induction machine. In: 2018 IEEE Recent Advances in Intelligent Computational Systems (RAICS). IEEE, pp 204–208
2. Yunusa-Kaltungo A, Kermani MM, Labib A (2017) Investigation of critical failures using root cause analysis methods: Case study of ash cement plc. Eng Fail Anal 73:25–45
3. Singh J, Singh S, Singh A (2019) Distribution transformer failure modes, effects and criticality analysis (fmeca). Eng Fail Anal 99:180–191
4. Yetgin AG (2019) Effects of induction motor end ring faults on motor performance. experimental results. Eng Fail Anal 96:374–383
5. Ranjan G, Verma AK, Radhika S (2019) K-nearest neighbors and grid search cv based real time fault monitoring system for industries. In: 2019 IEEE 5th International Conference for Convergence in Technology (I2CT). IEEE, pp 1–5
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