Abstract
Unlike single-cage rotor fault detection, fast Fourier
transform (FFT)-based steady-state spectrum analysis techniques
can fail to detect outer-cage faults in double-cage induction motors
due to the small outer-cage current under running conditions.
Double-cage motors are typically employed in applications that
require loaded starts. This makes the outer cage vulnerable to
fatigue failure since it must withstand the high starting current
and long startup time frequently. However, there are only a few
publications that investigate detection techniques specifically for
double-cage motors. In this paper, considering that the influence
of the faulty outer cage is strong at startup due to the
large outer-cage current, detection of outer-cage faults under the
startup transient is investigated. A discrete-wavelet-transformbased
method is proposed as a viable solution to the detection of
outer-cage faults for double-cage motors. An experimental study
on fabricated copper double-cage induction motors shows that
the proposed method provides sensitive and reliable detection of
double-cage rotor faults compared to FFT.
Originalsprache | Englisch |
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Seiten (von - bis) | 1539-1548 |
Seitenumfang | 10 |
Fachzeitschrift | IEEE Transactions on Industry Applications |
Publikationsstatus | Veröffentlicht - 2012 |
Research Field
- Nicht definiert
Schlagwörter
- AC machine
- condition monitoring
- double-cage rotor
- fast Fourier transform (FFT)
- fault diagnostics
- induction motor
- motor current signature analysis (MCSA)
- outer-cage fault
- transient analysis
- wavelet transform.