Vibration Transient Detection of Broken Rotor Bars by PSH Sidebands

Climente-Alarcon, Vicente; Antonino-Daviu, Jose A.; Vedreno-Santos, Francisco; Puche-Panadero, Ruben

Abstract

In recent years, the study of transients of induction motors for diagnosis purposes has gained strength in order to overcome some inherent problems of the classical diagnosis of such machines, which uses Fourier analysis of steady-state quantities. Novel time-frequency techniques have been applied to these transient quantities, in order to detect the characteristic evolutions of fault-related harmonic components. The detection of these patterns, which are usually specific for each type of fault, enables reliable diagnostic of the corresponding failures. In this context, most of the works hitherto developed have been based on analysis of currents. However, in some applications, vibration measurements are also available. The goal of this work is to validate the applicability of this transient-based diagnosis framework to vibration measurements. A specific time-frequency decomposition tool, the Zhao-Atlas-Marks distribution, is proposed. Experimental results prove the ability of the approach to complement the information obtained from the current analysis. This may be very useful in applications in which the diagnosis via currents is uncertain or in which vibration signals can be easily measured.

Citation

Climente-Alarcon, V., Antonino-Daviu, J. A., Vedreno-Santos, F., & Puche-Panadero, R. (2013). Vibration Transient Detection of Broken Rotor Bars by PSH Sidebands. IEEE Transactions on Industry Applications, 49(6), 2576-2582. https://doi.org/10.1109/tia.2013.2265872

• Journal Article Type: Article
• Acceptance Date: Mar 27, 2013
• Publication Date: 2013-11
• Deposit Date: Oct 5, 2016
• Journal: IEEE Transactions on Industry Applications
• Print ISSN: 0093-9994
• Electronic ISSN: 1939-9367
• Publisher: Institute of Electrical and Electronics Engineers
• Peer Reviewed: Peer Reviewed
• Volume: 49
• Issue: 6
• Pages: 2576-2582
• DOI: https://doi.org/10.1109/tia.2013.2265872
• Keywords: Control and Systems Engineering; Electrical and Electronic Engineering; Industrial and Manufacturing Engineering
• Public URL: http://researchrepository.napier.ac.uk/Output/398666