Identification and localization of incipient intermittent inter-turn fault in the stator of a three phase permanent magnet synchronous motor

Obeid, Najla Haje; Battiston, Alexandre; Boileau, Thierry; Nahid‐Mobarakeh, Babak

doi:10.1109/demped.2017.8062352

Cited by 7 publications

(7 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The most popular technique is the spectral analysis of the stator phase current using fast Fourier transform (FFT), presented among others in [14,15]. Since the FFT requires the signals to be stationary, a condition that is difficult to meet in speed-controlled drives, other methods have also been used to analyze the stator current of PMSM drives, such as Hilbert-Huang transform (HHT) [16,17], principal component analysis (PCA) [18,19], short-time Fourier transform (STFT) [20,21], continuous wavelet transform (CWT) [22,23], discrete wavelet transform (DWT) [24][25][26], and Wigner-Ville distribution (WVD) [27].…”

Section: Introductionmentioning

confidence: 99%

Comparison of Selected Methods for the Stator Winding Condition Monitoring of a PMSM Using the Stator Phase Currents

Pietrzak

Wolkiewicz

2021

Energies

View full text Add to dashboard Cite

Stator winding faults are one of the most common faults of permanent magnet synchronous motors (PMSMs), and searching for methods to efficiently detect this type of fault and at an early stage of damage is still an ongoing, important topic. This paper deals with the selected methods for detecting stator winding faults (short-circuits) of a permanent magnet synchronous motor, which are based on the analysis of the stator phase current signal. These methods were experimentally verified and their effectiveness was carefully compared. The article presents the results of experimental studies obtained from the spectral analysis of the stator phase current, stator phase current envelope, and the discrete wavelet transform. The original fault indicators (FIs) based on the observation of the symptoms of stator winding fault were distinguished using the aforementioned methods, which clearly show which symptom is most sensitive to the incipient fault of the stator winding of PMSMs.

show abstract

Section: Introductionmentioning

confidence: 99%

Comparison of Selected Methods for the Stator Winding Condition Monitoring of a PMSM Using the Stator Phase Currents

Pietrzak

Wolkiewicz

2021

Energies

View full text Add to dashboard Cite

show abstract

“…A similar study, but extended by comparison with other signal processing methods, is also presented in [5]. Changes in STFT spectrogram caused by ITSCs in the PMSM stator winding during the variable motor speed are presented in [70]. In all these works, the main idea of using STFT in fault diagnosis is discussedobservation of spectrogram changes as a result of PMSM electrical fault.…”

Section: B Time-frequency Domain Methodsmentioning

confidence: 99%

Fault Diagnosis and Fault-Tolerant Control of PMSM Drives–State of the Art and Future Challenges

et al. 2022

View full text Add to dashboard Cite

The issues of monitoring and fault diagnosis of drives with permanent magnet synchronous motors (PMSM) are currently very topical due to the increasing use of these drives in safety-critical devices. Every year, more and more articles on this subject are published. Therefore, the aim of this article is to update the overview of diagnostic methods and techniques for PMSM drives. Each of the main chapters of the article focuses on a specific element of the drive system (motor, power converter, measuring sensors), with particular emphasis on the components of the motor (stator windings, magnets, bearings, rotor). The main sections on PMSM fault diagnosis are divided according to the type of methods used to obtain the symptoms of the damage. In addition, a review of methods using the analysis of control structure signals for the diagnosis of damage to a vector-controlled motor is presented, as well as the latest achievements of researchers in the field of shallow and deep neural networks for the detection and classification of PMSM drives failures. Based on the presented literature analyses, some development trends and challenges related to the development of diagnostics and fault-tolerant control of PMSM drives are discussed in the conclusion part.

show abstract

“…An upgrading of this technique is described in [35,36], where a statistical procedure is shown to detect stator winding short circuits in IMs and SMs: it requires the computation of a correlation coefficient achieved by examining the evolution of magnetic flux harmonics collected in the motor case at no load and in load operation. An adapted wavelet transform (WT) is employed in [37] to identify an intermittent inter-turn fault in a PMSM that induces particular distortions in the stator currents and reference voltages. It is important to note that stator shorts are more dangerous for PMSMs, as they may cause magnetic field strengths greater than the coercivity of magnets, permanently demagnetizing the magnets [25].…”

Section: Stator Winding At Low Voltage (Lv)mentioning

confidence: 99%

Novel Diagnostic Techniques for Rotating Electrical Machines—A Review

Frosini

2020

Energies

View full text Add to dashboard Cite

This paper aims to update the review of diagnostic techniques for rotating electrical machines of different type and size. Each of the main sections of the paper is focused on a specific component of the machine (stator and rotor windings, magnets, bearings, airgap, load and auxiliaries, stator and rotor laminated core) and divided into subsections when the characteristics of the component are different according to the type or size of the machine. The review considers both the techniques currently applied on field for the diagnostics of the electrical machines and the novel methodologies recently proposed by the researchers in the literature.

show abstract

Identification and localization of incipient intermittent inter-turn fault in the stator of a three phase permanent magnet synchronous motor

Cited by 7 publications

References 17 publications

Comparison of Selected Methods for the Stator Winding Condition Monitoring of a PMSM Using the Stator Phase Currents

Comparison of Selected Methods for the Stator Winding Condition Monitoring of a PMSM Using the Stator Phase Currents

Fault Diagnosis and Fault-Tolerant Control of PMSM Drives–State of the Art and Future Challenges

Novel Diagnostic Techniques for Rotating Electrical Machines—A Review

Contact Info

Product

Resources

About