Induction Motor Bearing Fault Classification Using Extreme Learning Machine Based on Power Features
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
https://link.springer.com/content/pdf/10.1007/s13369-021-05527-5.pdf
Reference50 articles.
1. Cabal-Yepez, E.; Valtierra-Rodriguez, M.; Romero-Troncoso, R.J.; Garcia-Perez, A.; Osornio-Rios, R.A.; Miranda-Vidales, H.; Alvarez-Salas, R.: FPGA-based entropy neural processor for online detection of multiple combined faults on induction motors. Mech. Syst. Signal Process. 30, 123–130 (2012). https://doi.org/10.1016/j.ymssp.2012.01.021
2. Singh, G.; Kazzaz, Ahmed Saleh Al.; S. : Induction machine drive condition monitoring and diagnostic research—a survey. Electr. Power Syst. Res. 64, 145–15 (2003). https://doi.org/10.1016/S0378-7796(02)00172-4
3. Karmakar, S.; Chattopadhyay, S.; Mitra, M.; Sengupta, S.: Induction Motor Fault Diagnosis. Springer , Singapore (2016)
4. Malla, C.; Panigrahi, I.: Review of condition monitoring of rolling element bearing using vibration analysis and other techniques. J. Vib. Eng. Technol. 7, 407–414 (2019). https://doi.org/10.1007/s42417-019-00119-y
5. Vishwakarma, M.; Purohit, R.; Harshlata, V.; Rajput, P.: Vibration analysis & condition monitoring for rotating machines: a review. Mater. Today Proc. 4, 2659–2664 (2017). https://doi.org/10.1016/j.matpr.2017.02.140
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