Fault Detection of Stator Inter-Turn Short-Circuit in PMSM on Stator Current and Vibration Signal

Liang, Hong; Chen, Yong; Liang, Siyuan; Wang, Chengdong

doi:10.3390/app8091677

Cited by 51 publications

(34 citation statements)

References 18 publications

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“…(2) Vibration When the motor is running normally, the stator vibration frequency should be twice the frequency of the power supply. But inter-turn short-circuit fault and three-phase asymmetry of the motor windings will cause magnetic field asymmetry, resulting in abnormal vibration, which will produce the harmonic components of 4 f s and 8 f s in addition to the fundamental frequency of 2 f s in the vibration [64].…”

Section: Frequency Domain Methodsmentioning

confidence: 99%

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

et al. 2019

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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.

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Section: Frequency Domain Methodsmentioning

confidence: 99%

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

et al. 2019

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“…Permanent magnet synchronous motors (PMSMs) have been widely used in automotive traction drives due to their high performance, efficiency, and power density [1][2][3]. PMSMs should be operated within a specified range of temperature rise without any risk of demagnetization and stator winding failure [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

A Simplified Thermal Model and Online Temperature Estimation Method of Permanent Magnet Synchronous Motors

Zhu

Xiao

et al. 2019

Applied Sciences

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Monitoring critical temperatures in permanent magnet synchronous motors is crucial for improving working reliability. Aiming at resolving the difficulty in online temperature estimation, an accurate and simple five-node lumped parameter thermal network (LPTN) is proposed and the mathematical model of the LPTN is built. Both radial and axial heat transfer paths inside the motor are considered to model the complete thermal circuit. In addition, an innovative parameter identification method based on multiple linear regression is applied to identify the parameters of the LPTN model. The parameters in the state equation are identified instead of the data of the motor, which are strongly dependent on the material and geometrical parameters. Finally, an open-loop estimation scheme based on the state equation and Kalman filter algorithm is adopted to predict the motor temperature online. The model performances are validated by extensive experiments under varying speed and torque conditions in terms of the accuracy and robustness. The results indicate that the temperature estimation error is within the range of ±5 • C in most cases and the proposed model can quickly follow the load variation. Besides, the online temperature estimation scheme and parameter identification method are easy and convenient to implement in an embedded system, which is feasible in automobile applications. Appl. Sci. 2019, 9, 3158 2 of 18 permanent magnet but also changed the transient resistance of the rotor. If the transient resistance of the rotor can be obtained, the temperature of the rotor can be obtained indirectly. Therefore, when the rotor transient impedance was observed under the condition of high-frequency voltage, the rotor temperature information can be obtained by the relationship between the transient resistance and the temperature [12].However, the above-mentioned methods have some drawbacks. FEM has high estimation accuracy, but this method depends on the motor geometry, material properties, and boundary conditions, resulting in complex calculation and longer computing times. Thus, it can only be used for off-line analysis in the motor temperature field. Although the motor rotor temperature estimation algorithm based on rotor flux linkage is simple and easy to conduct, it is only able to predict the rotor temperature. In addition, the estimation accuracy depends on the observation accuracy of the rotor flux linkage, and the change of the flux linkage caused by temperature is not completely linear. Therefore, it is difficult to obtain a more accurate estimation of the rotor temperature. Compared with the method based on the rotor flux observation, the advantage of the approach based on the high frequency injection is that the change in rotor transient impedance is easier to detect. However, the injected high frequency signal may bring additional rotor loss, causing an increase in temperature.A suitable alternative to monitor motor temperature is lumped parameter thermal networks (LPTNs). This thermal network model is a simplifi...

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“…PMSM faults are classified in three groups as mechanical faults, magnetic faults and electrical faults [10]. Statistics indicate that more than 47 % of the electrical motor faults are due to electrical faults [11].…”

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confidence: 99%

“…Current studies indicate stator winding faults among the most frequently observed faults in electrical machines including PMSMs. Stator fault is due to the gradual decrease in the insulation between the stator winding threads [10,[12][13][14]. The fault detection is the process of detecting and identifying the type and scope of the fault.…”

mentioning

confidence: 99%

“…The fault detection is the process of detecting and identifying the type and scope of the fault. Typically, a detection process enables the perception or estimation of one or more machinery output such as current [15], [16], voltage [2], [17], vibration [7], [10], and torque [18] by way of sensors. The current signals carrying the fault information are frequently preferred in fault detection processes due to their low cost and ease of access.…”

mentioning

confidence: 99%

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A Diagnosis of Stator Winding Fault Based on Empirical Mode Decomposition in PMSMs

Doğan

Selçuk

2020

Balkan Journal of Electrical and Computer Engineering

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Stator winding faults may cause severe damages in Permanent Magnet Synchronous Motors (PMSM) if not detected early on. The earliest fault detection in motors should be made during transient states throughout the initial starting period. A new approach based on Empirical Mode Decomposition (EMD) and statistical analysis was presented for detecting stator winding fault by way of transient state phase current of PMSM in this study. Models based on finite elements method were developed for the PMSM representing the healthy and faulty states in order to implement the suggested fault detection method. Afterwards, transient state stator phase winding currents were measured for healthy and faulty states under nominal load in accordance with motor models. These non-linear current signals monitored were separated into its Intrinsic Mode Functions (IMF) via the EMD method. Pearson Correlation Coefficient was used for determining the IMF that most resembles the characteristics of the main signal. Statistical parameter-based feature extractions were carried out for the IMF signals determined for the healthy and faulty states. Fault and fault level detection were carried out successfully by comparing the obtained feature vectors. The acquired results have put forth that the suggested method can be used securely for fault detection in electrical machines especially for early fault detection.

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Fault Detection of Stator Inter-Turn Short-Circuit in PMSM on Stator Current and Vibration Signal

Cited by 51 publications

References 18 publications

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

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

A Simplified Thermal Model and Online Temperature Estimation Method of Permanent Magnet Synchronous Motors

A Diagnosis of Stator Winding Fault Based on Empirical Mode Decomposition in PMSMs

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