Robust Stator Winding Fault Detection in PMSMs With Respect to Current Controller Bandwidth

Huang, Shaopo; Aggarwal, Anmol; Strangas, Elias G.; Li, Kui; Niu, Feng; Huang, Xiaoyan

doi:10.1109/tpel.2020.3030036

Cited by 38 publications

(11 citation statements)

References 24 publications

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“…The stator winding fault is one of the most common faults of PMSMs. Apart from the wrong connection of windings, stator faults include various types of short circuits (Figure 1): inter-turn short circuits, short circuits between the coils in one phase, phase-to-phase short circuits, phase-to-ground short circuits and open circuits (breaks in phases) [6]. However, the most common situation is that a stator winding fault starts with an inter-turn short circuit, which is very difficult to detect at an early stage.…”

Section: Introductionmentioning

confidence: 99%

On-line Detection and Classification of PMSM Stator Winding Faults Based on Stator Current Symmetrical Components Analysis and the KNN Algorithm

Pietrzak

Wolkiewicz

2021

Electronics

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The significant advantages of permanent magnet synchronous motors, such as very good dynamic properties, high efficiency and power density, have led to their frequent use in many drive systems today. However, like other types of electric motors, they are exposed to various types of faults, including stator winding faults. Stator winding faults are mainly inter-turn short circuits and are among the most common faults in electric motors. In this paper, the possibility of using the spectral analysis of symmetrical current components to extract fault symptoms and the machine-learning-based K-Nearest Neighbors (KNN) algorithm for the detection and classification of the PMSM stator winding fault is presented. The impact of the key parameters of this classifier on the effectiveness of stator winding fault detection and classification is presented and discussed in detail, which has not been researched in the literature so far. The proposed solution was verified experimentally using a 2.5 kW PMSM, the construction of which was specially prepared for carrying out controlled inter-turn short circuits.

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Section: Introductionmentioning

confidence: 99%

On-line Detection and Classification of PMSM Stator Winding Faults Based on Stator Current Symmetrical Components Analysis and the KNN Algorithm

Pietrzak

Wolkiewicz

2021

Electronics

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“…It should also be noted that the effectiveness of selected methods of diagnosing motor faults may depend on many different factors, such as the type of the motor, control structure, regulator settings [28], measurement resolution, and acquisition of diagnostic signals. Unwanted disturbances can significantly reduce the effectiveness or even make the fault diagnosis process impossible.…”

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

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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.

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“…Almost all of the mentioned above FIs are sensitive to the bandwidth of the applied controllers, speed controller, two current controllers in the case of the FOC. As it is shown in [178], [186] and [187], the fault symptoms are visible in voltage, current or both of them, depending on the regulator parameters. Generally, if the speed controller bandwidth is low, the harmonics characteristic for a specific fault will be visible in voltages [178].…”

Section: Influence Of Controllers Bandwidthmentioning

confidence: 98%

“…And the opposite, if the bandwidth is high, they will be present in currents. This effect can be distorted by the current controllers, if their bandwidth is low the fault is visible in currents, if highin voltages [186], [187]. In other words, the control structure tends to obtain clear sinusoidal current signals, therefore higher harmonics must be present in voltages.…”

Section: Influence Of Controllers Bandwidthmentioning

confidence: 99%

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

et al. 2022

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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.

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Robust Stator Winding Fault Detection in PMSMs With Respect to Current Controller Bandwidth

Cited by 38 publications

References 24 publications

On-line Detection and Classification of PMSM Stator Winding Faults Based on Stator Current Symmetrical Components Analysis and the KNN Algorithm

On-line Detection and Classification of PMSM Stator Winding Faults Based on Stator Current Symmetrical Components Analysis and the KNN Algorithm

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

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