Diagnosis of Incipient Faults in Induction Motors Using MCSA and Thermal Analysis
Author:
Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-32033-1_8
Reference17 articles.
1. Antonino-Daviu, J., Rubbiolo, M., López, A.Q.: Diagnosis of the rotor condition in electric motors operating in mining facilities through the analysis of motor currents, pp. 1–8 (2017)
2. Antonino-Daviu, J.A., Member, S., Quijano-l, A., Rubbiolo, M.: Advanced analysis of motor currents for the diagnosis of the rotor condition in electric motors operating in mining facilities, vol. 54(4), pp. 3934–3942 (2018)
3. Fontes, A.S., Cardoso, C.A.V., Oliveira, L.P.B.: Comparison of techniques based on current signature analysis to fault detection and diagnosis in induction electrical motors, pp. 74–79 (2016)
4. Abhinandan, A.C.: Fault diagnosis of an induction motor through motor current signature analysis, FFT & DWT Analysis
5. Cox, R.W.: Algorithm for tracking the health of multiple induction motors using bus-level current. In: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society, vol. 1, pp. 373–378 (2018)
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