Short circuit fault detection in PMSM by means of empirical mode decomposition (EMD) and wigner ville distribution (WVD)

Rosero, J.; Romeral, J.A.O.; Romeral, L.; Rosero, Esteban

doi:10.1109/apec.2008.4522706

Cited by 17 publications

(9 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To solve this problem, some researchers have combined WVD with EMD, included in HHT, to analyze the current by analyzing the demodulated IMF with WVD [76,77]. Besides, Rosero et al used a smoothed pseudo Wigner Ville distribution (SPWVD) and Zao-Atlas-Marks distribution (ZAM), which can eliminate interference in WVD-based PMSM fault diagnosis [78,79]. Even so, its application on PMSM remains to be further studied.…”

Section: Wigner-ville Distributionmentioning

confidence: 99%

Faults and Diagnosis Methods of Permanent Magnet Synchronous Motors: A Review

et al. 2019

View full text Add to dashboard Cite

Permanent magnet synchronous motors (PMSM) have been used in a lot of industrial fields. In this paper, a review of faults and diagnosis methods of PMSM is presented. Firstly, the electrical, mechanical and magnetic faults of the permanent magnet synchronous motor are introduced. Next, common fault diagnosis methods, such as model-based fault diagnosis, different signal processing methods, and data-driven diagnostic algorithms are enumerated. The research summarized in this paper mainly includes fault performance, harmonic characteristics, different time-frequency analysis techniques, intelligent diagnosis algorithms proposed recently and so on.

show abstract

Section: Wigner-ville Distributionmentioning

confidence: 99%

Faults and Diagnosis Methods of Permanent Magnet Synchronous Motors: A Review

et al. 2019

View full text Add to dashboard Cite

show abstract

“…The evolutions of kurtosis, Crest and Impulse Factors in function of faults degrees are shown, respectively, in rows (3), (4) and (6). The trends of these indicators are approximately similar under partial PDMF and DE, but different under SE case.…”

Section: Resultsmentioning

confidence: 97%

“…From years ago, various signal processing techniques have been applied to extract fault signatures from characteristic signals. However, some techniques have been constrained by their limitations with respect to signals properties [6]. For this purpose, conventional time-and frequency-indicators, extracted from vibration signals, are analyzed with respect to operating conditions and fault severities which can serve in the phase of features selection.…”

Section: Introductionmentioning

confidence: 99%

Feature extraction for vibration-based fault detection in Permanent Magnet Synchronous Motors

Alameh¹,

Cité²,

Hoblos³

et al. 2015

2015 Third International Conference on Technological Advances in Electrical, Electronics and Computer Engineering (TAEECE)

View full text Add to dashboard Cite

this paper presents a study of different time and frequency indicators, extracted from vibration signals of a Permanent Magnet Synchronous Machine (PMSM), for fault detection and diagnosis purpose. First, a multi-physical model of the machine, able to generate the vibration displacement under different operating conditions, is simulated. Then, a brief stateof-the-art on the most encountered machine faults, with their electromagnetic and mechanical signatures, is presented. In this study, both rotor eccentricity and Permanent Magnet (PM) demagnetization faults are considered and introduced in the model by changing some of its parameters. After that, time-and frequency-domains signal processing techniques are applied to extract crucial features sets, related to healthy and faulty cases, from vibration signals. The evolution of these indicators with respect to faults degrees is analyzed to select proper criteria for each one, which can be effectively used latter in fault detection and diagnosis applications.

show abstract

“…Thus, the Wigner integral is the Fourier transform, with respect to the delay variable τ, of x(t+τ/2) x*(t-τ/2). This procedure avoids any loss of time-frequency resolution, as it happens, for instance, when performing the windowing in the Short Time Fourier Transform [14]. It has Hermitian symmetry in τ remaining always real [21] Unlike other recently applied distributions [13], [15], [17], the Wigner-Ville distribution has the desirable property of fulfilling the marginal conditions [21], thus total signal energy can be calculated in time or in frequency using the Plancherel formula:…”

Section: Wigner-ville Distributionmentioning

confidence: 99%

Application of the Wigner–Ville distribution for the detection of rotor asymmetries and eccentricity through high-order harmonics

Climente-Alarcón

Antonino-Daviu

Riera-Guasp

et al. 2012

Electric Power Systems Research

View full text Add to dashboard Cite

The diagnosis of induction machines through the use of methods based on the study of the startup current has become an issue of special interest. These techniques may provide, in certain situations (unbalanced supply voltages, load torque oscillations, variable load…) and for certain faults (broken bars, eccentricity, stator short circuit,) substantial advantages in comparison with the classical method, based on the Fourier spectrum of the steady-state current. Nevertheless, in the case of rotor asymmetries, these transient-based techniques have been mainly focused on the tracing of the lower sideband harmonic (LSH). In this paper, a wideband diagnosis method is proposed, in which the Wigner-Ville distribution is applied to the detection of eccentricity and other high-order components also introduced by the rotor asymmetry. It is shown that the proposed wide band analysis might help to reach a more reliable diagnosis conclusion in cases in which the tracing of commonly used harmonics may be difficult (inter-bar currents, load torque oscillations, non stationary regimes…). An evaluation 2 of the method is carried out through simulations and laboratory tests. The results show the potential of the tool for the detection and quantification of these components as a basis to diagnose such faults.

show abstract

Short circuit fault detection in PMSM by means of empirical mode decomposition (EMD) and wigner ville distribution (WVD)

Cited by 17 publications

References 21 publications

Faults and Diagnosis Methods of Permanent Magnet Synchronous Motors: A Review

Faults and Diagnosis Methods of Permanent Magnet Synchronous Motors: A Review

Feature extraction for vibration-based fault detection in Permanent Magnet Synchronous Motors

Application of the Wigner–Ville distribution for the detection of rotor asymmetries and eccentricity through high-order harmonics

Contact Info

Product

Resources

About