Diagnosis of induction machines under non-stationary conditions: Concepts and tools

Riera-Guasp, M.; Pons-Llinares, J.; Climente-Alarcon, V.; Vedreno-Santos, F.; Pineda-Sanchez, M.; Antonino-Daviu, J.; Puche-Panadero, R.; Perez-Cruz, J.; Roger-Folch, J.

Abstract

This paper is focused on fault diagnostic
methodologies suited for induction machines which are
subjected to fluctuating loads and speeds during their normal
duty cycle. In these cases, the load and speed fluctuate
continuously, near their rated values, and in a random way;
the diagnosis becomes more complicated than under
stationary regime or under other kind of transients, as the
startup, much intensively studied at the literature, in which
the speed, slip, and current undergo larger variations and
evolve in a predefined way. In the first part of this paper,
different approaches which enable the diagnosis under nonstationary
conditions are introduced from a conceptual
perspective. The second part of this work is devoted to the
practical implementation of the diagnostic approaches
previously introduced: the suitable signal analysis tools needed
for carrying out diverse diagnostic approaches are introduced
in a comprehensive way and supported by experimental
results

Citation

Riera-Guasp, M., Pons-Llinares, J., Climente-Alarcon, V., Vedreno-Santos, F., Pineda-Sanchez, M., Antonino-Daviu, J., Puche-Panadero, R., Perez-Cruz, J., & Roger-Folch, J. (2013, March). Diagnosis of induction machines under non-stationary conditions: Concepts and tools. Presented at 2013 IEEE Workshop on Electrical Machines Design, Control and Diagnosis (WEMDCD)

• Conference Name: 2013 IEEE Workshop on Electrical Machines Design, Control and Diagnosis (WEMDCD)
• Start Date: Mar 11, 2013
• End Date: Mar 12, 2013
• Online Publication Date: Jun 6, 2013
• Publication Date: 2013-03
• Deposit Date: Oct 5, 2016
• Publisher: Institute of Electrical and Electronics Engineers
• Book Title: 2013 IEEE Workshop on
• Chapter Number: Electrical Machines Design Control and Diagnosis (WEMDCD)
• ISBN: 9781467356589; 9781467356565; 9781467356572
• DOI: https://doi.org/10.1109/wemdcd.2013.6525182
• Keywords: fault diagnosis, frequency domain analysis, Hilbert transform, induction machine, non-stationary regime, time domain analysis, time-frequency distributions, wavelet transforms
• Public URL: http://researchrepository.napier.ac.uk/Output/398697