Demodulation methods for exact induction motor rotor fault diagnostic

Jaksch, Ivan; Bazant, J.

doi:10.1109/demped.2005.4662494

Cited by 5 publications

(6 citation statements)

References 1 publication

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“…Applications to failure detection are available in [7], [14], and [20]- [27]. Interestingly, for a balanced system, it has been shown in [14], [21], [22], [24], and [28] that the Concordia transform (CT), which has been used for failure detection purposes in [14], [21]- [24], and [28]- [38], can also be interpreted as a demodulating tool. As compared to classical demodulation tools, CT exhibits interesting properties such as lower complexity and lack of end effect problems or other artifacts [28].…”

Section: Introductionmentioning

confidence: 99%

“…As compared to classical demodulation tools, CT exhibits interesting properties such as lower complexity and lack of end effect problems or other artifacts [28]. However, in practice, this approach can lead to poor performance since a real machine usually presents a small degree of imbalance [22].…”

Section: Introductionmentioning

confidence: 99%

“…In the literature, many criteria and/or techniques have been proposed to perform this task. In [14], [21], [22], [24], [25], and [29], failure severity is measured through statistical criteria. However, these criteria require knowledge of the fault frequencies, which also depend on other parameters (speed or slip information).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Diagnosis of Three-Phase Electrical Machines Using Multidimensional Demodulation Techniques

Choqueuse

Benbouzid

Amirat

et al. 2012

IEEE Trans. Ind. Electron.

108

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Abstract-This paper deals with the diagnosis of three-phase electrical machines and focuses on failures that lead to stator-current modulation. To detect a failure, we propose a new method based on stator-current demodulation. By exploiting the configuration of three-phase machines, we demonstrate that the demodulation can be efficiently performed with low-complexity multidimensional transforms such as the Concordia transform (CT) or the principal component analysis (PCA). From a practical point of view, we also prove that PCA-based demodulation is more attractive than CT. After demodulation, we propose two statistical criteria aiming at measuring the failure severity from the demodulated signals. Simulations and experimental results highlight the good performance of the proposed approach for condition monitoring.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Diagnosis of Three-Phase Electrical Machines Using Multidimensional Demodulation Techniques

Choqueuse

Benbouzid

Amirat

et al. 2012

IEEE Trans. Ind. Electron.

108

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“…The combination harmonic curve area and harmonic crest angle produce better results compared with the harmonic amplitude feature in fault detection of motor. A comparison between envelope analysis using HHT, Park transform and FFT was presented in [69]. It was found that demodulation techniques using HHT and space transforms produce the same result in diagnosing dynamic rotor faults with better accuracy.…”

Section: Fault Signaturesmentioning

confidence: 99%

Induction motor broken rotor bar fault detection techniques based on fault signature analysis – a review

Hassan

Amer

Abdelsalam

et al. 2018

IET Electric Power Applications

113

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The induction motor is the most popular motor in energy conversion and industrial drive systems. This popularity is due to its robustness, low cost, and easy maintenance. Electrical, mechanical, thermal, magnetic and environmental stresses cause faults in the induction motor during the operation process. One of the challenging topics for many researchers is the development of a reliable efficient induction motor fault diagnostic techniques. The broken rotor bar fault is one of the critical faults that need to be early detected due to its sudden severe damages. The objective of this study is to present a survey of existing broken rotor bar fault detection techniques with new classification based on fault signature. Various monitoring conditions and signal processing techniques are considered for the detection process. A comprehensive list of references is reported for each fault signature and classified based on (i) loading level, (ii) the number of broken bars, (iii) validation and (vi) signal processing.

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“…Typical examples include broken rotor bars [18][19][20][21][22], gearbox faults [23] and bearing faults [7], [14], [17], [24]. In order to perform currents demodulation, several authors have employed classical demodulation techniques such as the synchronous demodulator [22], [25][26], the Hilbert transform [18][19][20], [22], [27], timefrequency distributions [14], [17], [28][29][30] or adaptive tracking of sine waves [31]. Joint IA-IF estimation based on the Concordia transform is investigated in [7], [21], [32].…”

Section: Introductionmentioning

confidence: 99%