The application of wavelets for the detection of inter-turn faults in induction machines

Barendse, Paul; Herndler, B.; Khan, Azeem; Pillay, Pragasen

doi:10.1109/iemdc.2009.5075386

Cited by 21 publications

(11 citation statements)

References 15 publications

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“…Assuming that the mechanical angle of the small teeth is κ, the cross-sectional view of DRPMSM, the star graph of the fundamental EMF and the diagram of phase separation, as well as the stator windings outspread diagram of DRPMSM are shown in Figures 1-3 spectrum of voltage used to detect ISCFs could be unstable, so it is important to find a way to diagnose the ISCFs of DRPMSMs under non-stationary conditions. References [27][28][29] presented some methods for diagnosing the ISCFs of motors under non-stationary operation conditions. In order to detect the ISCFs of permanent magnet machines under varying speed and load conditions, an adaptive algorithm based on extracting non-stationary fault sinusoids using current signals was proposed in [27].…”

Section: The Structure Of the Drpmsmmentioning

confidence: 99%

“…Then the fault diagnosis strategy could be implemented by a feed-forward multilayer-perceptron neural network trained by back propagation. In [29], a diagnosis scheme combining the Extended Park's Vector Approach with DWT by using stator current was proposed to diagnose ISCFs in induction motors under transient conditions. In a sense, the schemes mentioned above can detect the ISCFs of motors under non-stationary conditions, but these methods are all based on stator currents.…”

Section: Introductionmentioning

confidence: 99%

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On-Line Detection of Coil Inter-Turn Short Circuit Faults in Dual-Redundancy Permanent Magnet Synchronous Motors

Chen

Yong-huan

2018

Energies

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In the aerospace and military fields, with high reliability requirements, the dual-redundancy permanent magnet synchronous motor (DRPMSM) with weak thermal coupling and no electromagnetic coupling is needed. A common fault in the DRPMSM is the inter-turn short circuit fault (ISCF). However, research on how to diagnose ISCF and the set of faulty windings in the DRPMSM is lacking. In this paper, the structure of the DRPMSM is analyzed and mathematical models of the motor under normal and faulty conditions are established. Then an on-line ISCF detection scheme, which depends on the running modes of the DRPMSM and the average values for the difference of the d-axis voltages between two sets of windings in the latest 20 sampling periods, is proposed. The main contributions of this paper are to analyze the calculation for the inductance of each part of the stator windings and propose the on-line diagnosis method of the ISCF under various operating conditions. The simulation and experimental results show that the proposed method can quickly and effectively diagnose ISCF and determine the set of faulty windings of the DRPMSM.

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Section: The Structure Of the Drpmsmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

On-Line Detection of Coil Inter-Turn Short Circuit Faults in Dual-Redundancy Permanent Magnet Synchronous Motors

Chen

Yong-huan

2018

Energies

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“…These stator spectral components can include voltage, current and power and are used to detect turn faults, broken rotor bars, bearing failures and air gap eccentricities. Presently, many techniques that are based on steady-state analysis are being applied induction machines [2], [3]. Diagnostic method to identify the above faults may involve several different types of fields of science and technology.…”

Section: Introductionmentioning

confidence: 99%

DWT wavelet transform for the rotor bars faults detection in induction motor

Kechida

Menacer

2011

2011 2nd International Conference on Electric Power and Energy Conversion Systems (EPECS)

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The detection of broken rotor bars faults based on the analysis techniques, such as the fast Fourier transform (FFT), the accuracy of these technique depend on the loading conditions of the machine, and the ability to maintain a constant speed. To over come this problem, the analysis of the envelope of the transient starting-current waveform using the wavelet transform has been investigated. In this paper, a method for the diagnosis of rotor bar failures for the induction machine has been presented. It is based on the analysis of the stator current, using the discrete wavelet transform (DWT) at the start-up electromagnetic torque. Using the simplified dynamic model taking account the faults of the squirrel cage induction motor and the discrete wavelet transform (DWT), in order to extract the different harmonics components of the stator currents. The performance presented by using of the DWT: its ability to provide a local representation of the non stationary current signals for the healthy machine and with fault (two adjacent broken rotor bars).

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“…The extended Park's vector approach (EPVA) was researched to improve the visualization of PVA so that the PVA could be analyzed in the form of an ellipse by applying the square root [33][34][35][36][37]. However, the research was conducted in a complex way by adding algorithms to algorithms (e.g., applying it to the fast Fourier transform, FFT).…”

Section: Introductionmentioning

confidence: 99%

Linear Method for Diagnosis of Inter-Turn Short Circuits in 3-Phase Induction Motors

Goh

Kim²

2019

Applied Sciences

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When a turn-to-turn short fault occurs in an induction motor, it will be accompanied by vibration and heating, which will have adverse effects on the entire power system. Thus, turn-to-turn short fault diagnosis of the stator is required, and major accidents can be prevented if an inter-turn short circuit (ITSC), which is the early stage of a turn-to-turn short, can be detected. This study reinterprets Park’s vector approach using Direct-Quadrature(D-Q) transformation for the linear separation of ITSCs and proposes an ITSC diagnosis method by defining the magnetic flux linkage pulsation and current change in the event of a turn-to-turn short. It is difficult to diagnose because the turn-to-turn short current change in an ITSC is considerably different from the induction motor loss. Hence, it was found through analysis that when the current change is considered through an analysis of the relationship between inductance and the winding number, the ITSC current becomes slightly smaller than the steady-state current. This was verified using the D-Q synchronous reference frame over time. We proposed a linear separation of the ITSC diagnosis from the steady state by considering the minimum values of the pulsating current as feature points.

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The application of wavelets for the detection of inter-turn faults in induction machines

Cited by 21 publications

References 15 publications

On-Line Detection of Coil Inter-Turn Short Circuit Faults in Dual-Redundancy Permanent Magnet Synchronous Motors

On-Line Detection of Coil Inter-Turn Short Circuit Faults in Dual-Redundancy Permanent Magnet Synchronous Motors

DWT wavelet transform for the rotor bars faults detection in induction motor

Linear Method for Diagnosis of Inter-Turn Short Circuits in 3-Phase Induction Motors

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