• Journal of Electrical Engineering and Technology
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• 제11권2호
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• pp.416-424
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• 2016

In this study, automatic detection of stator winding inter-turn short circuit fault (SWISCFs) in surface-mounted permanent magnet synchronous motors (SPMSMs) and automatic classification of fault severity via a pattern recognition system (PRS) are presented. In the case of a stator short circuit fault, performance losses become an important issue for SPMSMs. To detect stator winding short circuit faults automatically and to estimate the severity of the fault, an artificial neural network (ANN)-based PRS was used. It was found that the amplitude of the third harmonic of the current was the most distinctive characteristic for detecting the short circuit fault ratio of the SPMSM. To validate the proposed method, both simulation results and experimental results are presented.

• Journal of Electrical Engineering and Technology
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• 제10권6호
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• pp.2326-2333
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• 2015

Stator turn faults in permanent magnet synchronous motors (PMSMs) are more dangerous than those in induction motors (IMs) because of the presence of spinning rotor magnets that can be turned off at will. Condition monitoring and fault detection and diagnosis of the PMSM have been receiving a growing amount of attention among scientists and engineers in the past few years. The aim of this study is to propose a new detection technique of stator winding faults in a three-phase PMSM. This technique is based on the image analysis and recognition of the stator current Concordia patterns, and will allow the identification of turn faults in the stator winding as well as its correspondent fault index severity. A test bench of a vector controlled PMSM motor behaviors under short circuited turn in two phases stator windings has been built. Some experimental results of the phase to phase short circuits have been performed for diagnosis purpose.

• Journal of Magnetics
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• 제21권3호
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• pp.413-420
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• 2016

The permanent magnet synchronous motor has high efficiency driving performance and high power density output characteristics compared with other motors. In addition, it has good regenerative operation characteristics during braking and deceleration driving condition. For this reason, permanent magnet synchronous motor is generally applied as a power train motor for electrical vehicle. In permanent magnet synchronous motor, the most probable causes of fault are demagnetization of rotor's permanent magnet and short of stator winding turn. Therefore, the demagnetization fault of permanent magnet and turn fault of stator winding should be detected quickly to reduce the risk of accident and to prevent the progress of breakdown of power train system. In this paper, the fault diagnosis method using high frequency low voltage injection was suggested to diagnose the demagnetization fault of rotor permanent magnet and the turn fault of stator winding. The proposed fault diagnosis method can be used to check the faults of permanent magnet synchronous motor during system check-up process at vehicle starting and idling stop mode. The feasibility and usefulness of the proposed method were verified by the finite element analysis.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2007년도 춘계학술대회 논문집 전기기기 및 에너지변환시스템부문
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• pp.150-152
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• 2007

The stator faults yield asymmetrical operation of induction machines, such as irregular current, torque pulsation, increased losses and decreased average torque. So it is necessary to detect the stator faults and develope the monitoring system for detecting faults including vibration and noise. This paper describes the method to analysis the induction motors with the stator winding inter-turn short for investigation of the asymmetrical operation during normal and transient states. And a simple method is used for the simulation and analysis of the induction machines with stator asymmetries. Finally, simulation results, finite element analysis and experimental ones are presented. The results can be useful for real-time on-line monitoring of an induction motor.

• 한국안전학회지
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• 제21권2호
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• pp.52-56
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• 2006

This paper describes the methods for the detection of shorted-turn in the rotor of a cylindrical synchronous generator. A search coil is installed in the air-gap to detect the shorted-turn. The occurrence of a fault in the rotor winding results in a decrease of the induced voltages in the stator. And the magnitude of the rotor flux can be estimated by using the search coil and the estimated stator voltages respectively. And the magnitude of the estimated rotor flux is used for discriminating the rotor windings short or not by detecting the magnitude of the rotor flux. The method using a search coil located in the air-gap can detect not only the occurrence of a turn fault but also its position in the rotor winding. But the method using the estimated stator voltages gives the magnitude of the rotor flux, and only the number of a short-turn.

• 전력전자학회논문지
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• 제15권3호
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• pp.167-178
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• 2010

영구자석 동기전동기에서 고정자 권선의 단락으로 인해 발생하는 권선 고장을 동작 중 실시간으로 검출할 수 있는 고장 진단 기법을 제시한다. 제안된 기법은 고조파 분석을 통해 q축 전류의 2차 고조파를 관찰함으로서 이루어지며 고장이 없는 정상 조건에서의 고조파 데이터와 비교를 통해서 고장을 판별한다. 임의의 정상 동작 조건에서의 고조파 데이터는 선형 보간법과 몇 개의 사전 측정된 고조파 데이터를 통해서 구해진다. 제안된 고장 검출 기법의 타당성을 입증하기 위해 내부 고정자의 권선 단락이 가능한 전동기가 제작되었으며 전체 구동 시스템과 고조파 분석 알고리즘 및 고장 검출 알고리즘이 DSP TMS320F28335에 의해 구현되어 실험이 수행된다. 제안된 방법은 부가적인 진단 장비를 필요로 하지 않으며 정상 상태 조건만 만족된다면 동작 중 실시간으로 고장을 검출할 수 있다.

• Journal of Electrical Engineering and Technology
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• 제6권5호
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• pp.666-670
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• 2011

In this paper, a method for detecting broken rotor bar and stator winding fault in a low voltage squirrel-case induction motor using an air-gap flux variation analysis is proposed to develop a simple and low cost diagnosis technique. To measure the leakage flux in radial direction, a radial flux sensor is designed as a search coil and installed between stator slots. The proposed method is able to identify two kinds of motor faults by calculating load condition of motors and monitoring abnormal signals those are related with motor faults. Experimental results obtained on 7.5kW three-phase squirrel-cage induction motors are discussed to verify the performance of the proposed method.

• 조명전기설비학회논문지
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• 제23권5호
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• pp.18-28
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• 2009

고정자 권선의 단락으로 인한 고장을 해석하고 진단 알고리즘의 효과적인 시험 평가를 위해 사용될 수 있는 인버터 구동 영구자석 동기전동기의 고장모델이 제시된다. 기존에 전동기의 해석과 제어에 많이 사용되는 dq 모델은 상전압 모델을 변환한 것으로 전동기 고정자의 권선 단락 시에는 더 이상 3상평형 조건이 성립하지 않기 때문에 인버터 극전압으로부터 전동기 입력 전압을 구하기가 쉽지 않아 고장모델의 해석을 위해서 사용하기 어렵다. 이를 해결하기 위해 전동기 3상 변수와 선전압 관계식을 이용한 전동기의 고장모델이 제안된다. 제안된 고장모델의 타당성을 입증하기 위해 시뮬레이션이 수행되며 내부 고정자의 권선 단락이 가능하도록 제작된 전동기와 DSP TMS320F28335를 이용한 제어 시스템에 의해 동일 고장 조건에서 비교 실험이 수행된다.

• Journal of international Conference on Electrical Machines and Systems
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• 제2권1호
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• pp.23-30
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• 2013

This paper proposes a parametric model for inter-turn fault detection in a fault-tolerant permanent-magnet (FTPM) machine, which can predict the effect of the short-circuit fault to various physical quantity of the machine. For different faulty operations, a new effective stator inter-turn fault detection method is proposed. Finally, simulations of vector-controlled FTPM machine drives are given to verify the feasibility of the proposed method, showing that even single-coil short-circuit fault could be exactly detected.

• 조명전기설비학회논문지
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• 제24권5호
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• pp.94-105
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• 2010

인버터 구동 영구자석 동기전동기에서 고정자 권선과 인버터 스위치에 고장이 존재할 때 동작 중 실시간으로 고장을 검출하고 고장의 유형을 판별할 수 있는 진단 기법이 제시된다. 제안된 기법은 q축 전류의 2차 고조파를 실시간으로 관찰함으로써 이루어지며 고장이 없는 정상 조건에서의 고조파 데이터와 비교를 통해서 고장을 판별한다. 임의의 정상 동작 조건에서의 고조파 데이터는 선형 보간법을 이용해 구해진다. 고장 검출 시 진단 알고리즘은 고장 유형 판별모드로 전환되어 상전류의 파형 분석을 통해 고장의 유형을 판별한다. 제안된 고장 검출 기법의 타당성을 입증하기 위해 내부 권선 단락이 가능한 전동기가 제작되었으며 전체 시스템과 고조파 분석 및 고장 검출 알고리즘이 DSP TMS320F28335에 의해 구현된다. 제안된 방법은 부가적인 진단 장비를 요구하지 않으며 정상상태 조건이 만족된다면 동작 중 실시간으로 고장을 검출할 수 있다.