Non-invasive instrumentation for on-line management and monitoring of electrical plant

Watson, J.F.; Gow, Kenneth S.; Thomson, William T.

doi:10.1049/cp:19941093

Cited by 7 publications

(5 citation statements)

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“…Another problem of this method is that frequencies similar to those used for rotor bar breakage detection can be generated by other causes such as low frequency oscillating torque loads, voltage fluctuations or bearing faults [3]. Several interesting methods based on steady-state analysis can avoid some of these disadvantages [4][5][6], but most of them analyse other magnitudes [7][8].…”

Section: Introductionmentioning

confidence: 99%

Validation of a new method for the diagnosis of rotor bar failures via wavelet transform in industrial induction machines

Antonino-Daviu

Riera-Guasp

Folch

et al. 2006

IEEE Trans. on Ind. Applicat.

283

179

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In this paper, the authors propose a method for the diagnosis of rotor bar failures in induction machines, based on the analysis of the stator current during the startup using the Discrete Wavelet Transform (DWT). Unlike other approaches, the study of the high-order wavelet signals resulting from the decomposition is the core of the proposed method. After an introduction of the physical and mathematical basis of the method, a description of the proposed approach is given; for this purpose, a numerical model of induction machine is used, in such a way that the effects of a bar breakage can clearly be shown, avoiding the influence of other phenomena not related with the fault. Afterwards, the new diagnosis method is validated using a set of commercial induction motors. Several experiments are developed under different machine conditions (healthy machine and machine with different levels of failure) and operating conditions (no load, full-load, pulsating load and fluctuating voltage). In each case, the results are compared with those obtained using the classical approach, based on the analysis of the steady-state current using the Fourier Transform. Finally, the results are discussed and some considerations about the influence of the DWT parameters (type of mother wavelet, order of the mother wavelet, sampling rate or number of levels of the decomposition) over the diagnosis are done.

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Section: Introductionmentioning

confidence: 99%

Validation of a new method for the diagnosis of rotor bar failures via wavelet transform in industrial induction machines

Antonino-Daviu

Riera-Guasp

Folch

et al. 2006

IEEE Trans. on Ind. Applicat.

283

179

View full text Add to dashboard Cite

show abstract

“…From (7), the instantaneous frequency of is defined as (8) Assume now the analytic wavelet is asymptotic, and set , the wavelet transform of is given as (9) where is the Hilbert transform of . Assume and are both asymptotic signals (or signals with Gaussian amplitude).…”

Section: Cwt and Wavelet Ridgementioning

confidence: 99%

“…Most diagnostictechniquesarebasedonspectralanalysis.Existenceofthe frequency component in stator line current is utilized to detect faulted rotor bars, where is the slip, and is the power frequency [4]- [8]. Reference [9] presents speed and torque signal spectral analysis, and axial flux leakage analysis was performed in [10]- [12], and more sophisticated methods compare the fault indicative with their dedicated motor models [13]- [15]. Among Manuscript received November 24, 2002.…”

Section: Introductionmentioning

confidence: 99%

A novel detection method of motor broken rotor bars based on wavelet ridge

Zhang

Ren

Wen-ying

2003

IEEE Trans. On Energy Conversion

113

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Detection of cage motor broken rotor bars has long been an important but difficult job in the detection area of motor faults. The characteristic frequency component of faulted rotor (CFCFR) is very close to the power frequency component but by far less in amplitude, which brings about great difficulty for accurate detection. A new detection method based on wavelet ridge is presented in this paper. Aiming at the motor's starting period during which the motor accelerates progressively and CFCFR approaches the power frequency gradually in frequency spectrum, the wavelet ridge-based method is adopted to analyze this transient procedure and the CFCFR is extracted. The influence of power frequency can be effectively eliminated, and detection accuracy can be greatly improved by using the approach presented in this paper. Also, this is indeed a novel but excellent approach for the detection domain of cage induction motor broken rotor bars.Index Terms-Detection method, motor broken rotor bars, wavelet ridge.

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“…Reference [5] presents speed and torque signal spectral analysis, and more sophisticated methods compare the fault indicative with their dedicated motor models [6]- [7]. Among these methods, extracting the CFC is comparatively convenient and effective [8], so it is most widely used in the practical conditions.…”

Section: Introductionmentioning

confidence: 99%

Broken Rotor Bar Detection in Induction Motors via Wavelet Ridge

Wei

Shi

Cui

et al. 2009

2009 International Conference on Measuring Technology and Mechatronics Automation

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On-line diagnostics of induction motor faults such as broken rotor bars can be accomplished by analyzing the anomalies of motor stator current. This paper presents a novel approach for the detection of the broken rotor bars in induction motors based on wavelet ridge. The characteristic frequency component(CFC) of the broken rotor bars is very close to power frequency in frequency domain but far less in amplitude in steady state, so it is very difficult to detect the broken rotor bars by Fourier Transform. As the CFC of the broken rotor bars approaches power frequency gradually during the motor's startup process, the wavelet ridge-based method is introduced to analyze this transient procedure and the CFC of the broken rotor bars is extracted effectively. The influence of power frequency can be well eliminated, and the detection accuracy is greatly improved. Experimental results also demonstrate this is truly an excellent approach for the detection of the broken rotor bars.

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Non-invasive instrumentation for on-line management and monitoring of electrical plant

Cited by 7 publications

References 0 publications

Validation of a new method for the diagnosis of rotor bar failures via wavelet transform in industrial induction machines

Validation of a new method for the diagnosis of rotor bar failures via wavelet transform in industrial induction machines

A novel detection method of motor broken rotor bars based on wavelet ridge

Broken Rotor Bar Detection in Induction Motors via Wavelet Ridge

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