Generic Smart Rotor Fault Diagnosis Model with Normalised Vibration Parameters
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-39619-9_56
Reference13 articles.
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3. Alshorman O et al. (2020) A review of artificial intelligence methods for condition monitoring and fault diagnosis of rolling element bearings for induction motor. Shock Vib 2020, no. Cm
4. Gangsar P, Tiwari R (2017) Comparative investigation of vibration and current monitoring for prediction of mechanical and electrical faults in induction motor based on multiclass-support vector machine algorithms. Mech Syst Signal Process 94:464–481
5. Li X, Zheng A, Zhang X, Li C, Zhang L (2013) Rolling element bearing fault detection using support vector machine with improved ant colony optimization. Measurement 46:2726–2734
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