Early Fault Detection of Robotic Joints Based on Time–Frequency Analysis of Motor Current Signature
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-49421-5_9
Reference14 articles.
1. Bellini, A., Immovilli, F., Rubini, R., Tassoni, C.: Diagnosis of bearing faults of induction machines by vibration or current signals: a critical comparison. In: 2008 IEEE Industry Applications Society Annual Meeting, pp. 1–8. Edmonton, AB (2008). https://doi.org/10.1109/08IAS.2008.26
2. Zhang, Q., Tan, L., Xu, G.: Evaluating transient performance of servo mechanisms by analysing stator current of PMSM. Mech. Syst. Signal Process. 101, 535–548 (2018). https://doi.org/10.1016/j.ymssp.2017.09.011
3. Cusidó, J., Romeral, L., Ortega, J.A., Rosero, J.A., Espinosa, A.G.: Fault detection in induction machines using power spectral density in wavelet decomposition. IEEE Trans. Indus. Electron. 55(2), 633–643 (2008). https://doi.org/10.1109/TIE.2007.911960
4. Mohammed, O.A., Abed, N.Y., Ganu, S.: Modeling and characterization of induction motor internal faults using finite-element and discrete wavelet transforms. IEEE Trans. Magn. 42(10), 3434–3436 (2006). https://doi.org/10.1109/TMAG.2006.879091
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