The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.
Diagnosis of Bearing Faults in Induction Machines by Vibration or Current Signals: A Critical Comparison
Open accessAbstract
Mechanical imbalances and bearing faults account for a large majority of the faults in a machine, particularly for small-medium size machines. Therefore, their diagnosis is an intensively investigated field of research. Recently, many research activities were focused on the diagnosis of bearing faults by current signals. This paper compares the bearing fault detection capability obtained with the vibration and current signals. The paper contribution is the use of a simple and effective signal processing technique for both current and vibration signals, and a theoretical analysis of the physical link between faults, modeled as a torque disturbance, and current components. The focus of the paper is on the theoretical development of the correlation between torque disturbances and the amplitude of the current components, together with a review of fault models used in the literature. Another contribution is the re-creation of realistic incipient faults and their experimental validation. Radial effects are visible only in case of large failures that result in air-gap variations. Experiments are reported that confirm the proposed approach.
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Cites
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Cited by
Data-Driven Methods for Predictive Maintenance of Industrial Equipment: A Survey
Zhang, W., Yang, D., & Wang, H. (2019) · IEEE Systems Journal · doi:10.1109/jsyst.2019.2905565 · Cited by 732
Trends in Fault Diagnosis for Electrical Machines: A Review of Diagnostic Techniques
Henao, H., Capolino, G.-A., Fernandez-Cabanas, M., Filippetti, F., Bruzzese, C., Strangas, E., Pusca, R., Estima, J., Riera-Guasp, M., & Hedayati-Kia, S. (2014) · IEEE Industrial Electronics Magazine · doi:10.1109/mie.2013.2287651 · Cited by 602
Leite, V. C. M. N., Borges da Silva, J. G., Veloso, G. F. C., Borges da Silva, L. E., Lambert-Torres, G., Bonaldi, E. L., & de Lacerda de Oliveira, L. E. (2015) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2014.2345330 · Cited by 274
A novel method based on self-sensing motor drive system for misalignment detection
Yao, Y., Li, Y., & Yin, Q. (2019) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2018.06.030 · Cited by 42
A normalized Hilbert-Huang transform technique for bearing fault detection
Osman, S., & Wang, W. (2016) · Journal of Vibration and Control · doi:10.1177/1077546314548909 · Cited by 31
Metadata
- Authors
- Immovilli, F., Bellini, A., Rubini, R., & Tassoni, C.
- Venue
- IEEE Transactions on Industry Applications
- Published
- 2010-07
- Volume
- 46
- Issue
- 4
- Pages
- 1350-1359
- ISSN
- 0093-9994 (ISSN-L)
- 1939-9367
- OpenAlex
- W2153428002
- Cited by
- 382
- References
- 25
- FWCI
- 25.49
- Type
- journal article
- Language
- en
- Open access
- green
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- Immovilli, F., Bellini, A., Rubini, R., & Tassoni, C. (2010). Diagnosis of Bearing Faults in Induction Machines by Vibration or Current Signals: A Critical Comparison. IEEE Transactions on Industry Applications. https://doi.org/10.1109/tia.2010.2049623
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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