• Title/Summary/Keyword: Park's vector

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Stator Winding Fault Diagnosis in Small Three-Phase Induction Motors by Park's Vector Approach (Park's Vector 기법을 이용한 소형 3상 유도 전동기의 권선 고장 진단)

  • 박규남;한민관;우혁재;송명현
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.7 no.6
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    • pp.1291-1296
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    • 2003
  • This paper deals with efficient diagnostic for stator winding fault of 3-phase induction motor using a current Park's vector approach. This method firstly transforms 3-phase stator current to vertical axis current and horizontal axis current of Park's Vector, and then obtains the each Park's Vector Pattern and detects stator winding fault by comparing to Park's Vector Pattern of healthy and fault. Experimental results, obtained by using induction motor having inter-turn fault of 2, 10, 20 turn, demonstrate the effectiveness of the proposed technique, for detecting the presence of stator winding fault under 25%, 50%, and 100% of full load condition.

Application of Multiple Parks Vector Approach for Detection of Multiple Faults in Induction Motors

  • Vilhekar, Tushar G.;Ballal, Makarand S.;Suryawanshi, Hiralal M.
    • Journal of Power Electronics
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    • v.17 no.4
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    • pp.972-982
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    • 2017
  • The Park's vector of stator current is a popular technique for the detection of induction motor faults. While the detection of the faulty condition using the Park's vector technique is easy, the classification of different types of faults is intricate. This problem is overcome by the Multiple Park's Vector (MPV) approach proposed in this paper. In this technique, the characteristic fault frequency component (CFFC) of stator winding faults, rotor winding faults, unbalanced voltage and bearing faults are extracted from three phase stator currents. Due to constructional asymmetry, under the healthy condition these characteristic fault frequency components are unbalanced. In order to balanced them, a correction factor is added to the characteristic fault frequency components of three phase stator currents. Therefore, the Park's vector pattern under the healthy condition is circular in shape. This pattern is considered as a reference pattern under the healthy condition. According to the fault condition, the amplitude and phase of characteristic faults frequency components changes. Thus, the pattern of the Park's vector changes. By monitoring the variation in multiple Park's vector patterns, the type of fault and its severity level is identified. In the proposed technique, the diagnosis of faults is immune to the effects of unbalanced voltage and multiple faults. This technique is verified on a 7.5 hp three phase wound rotor induction motor (WRIM). The experimental analysis is verified by simulation results.

Study on Distortion Ratio Calculation of Park's Vector Pattern for Diagnosis of Stator Winding Fault of Induction Motor (유도전동기의 고정자 권선고장 진단을 위한 팍스벡터 패턴의 왜곡률 연산에 대한 연구)

  • Yang, Chul-Oh;Park, Kyu-Nam;Song, Myung-Hyun
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.61 no.4
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    • pp.643-649
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    • 2012
  • The diagnosis technique of stator winding faults based on Motor Current Signature Analysis(MCSA) was suggested. Park's vector pattern, the circle that is drawn by d-q transformed currents($i_d$, $i_q$), is widely used for stator winding faults detection. The current Distortion Ratio(DR), defined by the ratio of max axis and min axis of ellipse of Park's vector's pattern, was more simple and powerful method than the Park's vector pattern. In this study, a calculation method of distortion ratio of Park's vector pattern was suggested for auto diagnosis of stator winding short fault and usefulness of suggested calculation method of distortion ratio was verified through simulation using LabVIEW program.

Stator Winding Fault Diagnosis in Small Three-Phase Induction Motors by Park's Vector Approach (Park's Vector 기법을 이용한 소형 3상 유도 전동기의 권선 고장 진단)

  • Han, Min-Kwan;Woo, Hyeok-Jae;Song, Myung-Hyun;Park, Kyu-Nam
    • Proceedings of the KIEE Conference
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    • 2003.07d
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    • pp.2070-2072
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    • 2003
  • 본 연구는 3상 소형 유도전동기의 고정자 권선 고장의 효과적인 진단을 위하여 고정자 전류에 대하여 Park's Vector를 이용한 기법을 적용하였다. 본 기법은 고정자 3상 전류를 측정하여 Park's vector 변환을 통하여 직축, 횡축 전류로 변환하고 이를 이용하여 고장 진단을 위한 Park's Vector Pattern을 통하여 고장진단을 수행하였다. 제안한 방법의 유용성을 확인하기 위하여 고정자 권선 한 상에 2턴, 10턴, 그리고 20턴의 단락고장을 발생시켜 정격부하의 25%, 50%, 100%에 대하여 부하변동에 따른 각각의 단락고장의 경우와 정상 전동기의 Park's Vector Pattern 비교하였으며 그 유용성을 확인하였다.

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Auto-Diagnosis for Stator Winding Faults Using Distortion Ratio of Park's Vector Pattern (Park's 벡터 패턴의 왜곡률을 이용한 고정자 권선 고장 자동진단)

  • Song, Myung-Hyun;Park, Kyu-Nam;Han, Dong-Gi;Yang, Chul-Oh
    • The Transactions of the Korean Institute of Electrical Engineers P
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    • v.57 no.2
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    • pp.160-163
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    • 2008
  • In this paper, an auto-diagnosis method of the stator winding fault for small induction motor is suggested. 3-phase stator currents are sampled, filtered, and transformed with Park's vector transformation. After then Park's vector patterns are obtained. To detect the stator winding fault automatically, a distortion ratio is newly defined and compared with the one of healthy motor, and the threshold levels of distortion ratio are suggested. The 2-turn, 4-turn, 8-turn winding fault are tested with no load, 25%, 50%, 75%, and 100% rated load. The distortion ratio of the Park's vector patterns are increased as the increase of the faulted turns, but are same as the increase of the load.

Interpretation of Influence Winding Short Phase of Induction Motor to Distortion Ratio of Park's Vector Pattern (유도전동기의 권선 단락 상에 따른 팍스 벡터 패턴 왜곡률의 영향 해석)

  • Yang, Chul-Oh;Kim, Jong-Sun;Kim, Jun-Young;Park, Kyu-Nam;Song, Myung-Hyun
    • Proceedings of the KIEE Conference
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    • 2011.07a
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    • pp.2075-2076
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    • 2011
  • The stator winding faults diagnosis technique based on MCSA is as follows. Firstly, collecting the 3 phase motor currents, that signal is transformed by (d-q transform, $i_d$, $i_q$). Park's vector pattern, the circle that is down by d-q transformed currents($i_d$, $i_q$). The circle is widely used for stator winding faults detection. The current distortion ratio(DR), defined by the ratio of max-axis and min-axis of ellipse of Park's vector's pattern. In this study, distortion ratio of Park's vector pattern is suggested for Auto diagnosis of stator winding short fault and usefulness of distortion ratio is verified through simulation using LabVIEW program.

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Auto-Detection of Stator Winding Fault of Small Induction Motor using LabVIEW (LabVIEW를 이용한 소형 유도전동기의 권선고장 자동진단)

  • Song, Myung-Hyun;Park, Kyu-Nam;Han, Dong-Gi;Woo, Hyeok-Jae
    • The Transactions of the Korean Institute of Electrical Engineers P
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    • v.55 no.4
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    • pp.202-206
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    • 2006
  • In this paper, an auto detection method of stator winding fault of small induction motor is suggested. The Park's vector pattern which is obtained from 3-phase current signal by d-q transforming, is very good to detect winding fault. Comparing the Park's vector pattern of testing motor with its of healthy motor, the Park's vector pattern of fault motor is became an ellipse and the asymmetry is increased by the winding fault series. So for detecting the dis-symmetry, id-filtered function, Min-value, and Max-value are suggested for auto detecting. Using LabVIEW programing, 3-phase healthy motor and several kind of winding fault motors are tested and the test results are shown that the suggested method can gives us a possibility of an auto detecting winding fault.

Auto-Detection of Stator Winding Fault of Induction motor using LabVIEW (LabVIEW를 이용한 유도전동기의 권선고장 자동진단)

  • Han, Dong-Gi;Song, Myung-Hyun;Park, Kyu-Nam;Lee, Tae-Hun
    • Proceedings of the KIEE Conference
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    • 2006.07e
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    • pp.53-54
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    • 2006
  • 본 논문에서는 유도전동기의 고정자권선 고장진단을 목적으로 이상적인 전동기의 전류신호와 실시간으로 운전하고 있는 전동기 전류신호를 Park's Vector에 각각 적용시켜 Park's Vector 패턴을 만들고 패턴 피크값의 기준치와 측정치의 편차를 이용하여 오차치를 벗어날 때 고장으로 진단하는 Park's Vector 패턴의 피크값을 이용한 고정자권선의 고장진단을 시도하였다. 숙달된 작업자가 Park's Vector패턴을 보고 고장을 분석해야 했던 방법과는 달리 패턴을 비교하지 않고도 자동으로 고장을 진단하고 경보해주는 진단 방법을 제시하였다. 실제 전류분석 및 진단을 위해 상용 프로그램인 LabVIEW를 이용하였다.

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A New Hybrid "Park's Vector - Time Synchronous Averaging" Approach to the Induction Motor-fault Monitoring and Diagnosis

  • Ngote, Nabil;Guedira, Said;Cherkaoui, Mohamed;Ouassaid, Mohammed
    • Journal of Electrical Engineering and Technology
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    • v.9 no.2
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    • pp.559-568
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    • 2014
  • Induction motors are critical components in industrial processes since their failure usually lead to an unexpected interruption at the industrial plant. The studies of induction motor behavior during abnormal conditions and the possibility to diagnose different types of faults have been a challenging topic for many electrical machine researchers. In this regard, an efficient and new method to detect the induction motor-fault may be the application of the Time Synchronous Averaging (TSA) to the stator current Park's Vector. The aim of this paper is to present a methodology by which defects in a three-phase wound rotor induction motor can be diagnosed. By exploiting the cyclostationarity characteristics of electrical signals, the TSA method is applied to the stator current Park's Vector, allowing the monitoring of the induction motor operation. Simulation and experimental results are presented in order to show the effectiveness of the proposed method. The obtained results are largely satisfactory, indicating a promising industrial application of the hybrid Park's Vector-TSA approach.

A Stator Fault Diagnosis of an Induction Motor based on the Phase Angle of Park's Vector Approach (Park's Vector Approach의 위상각 변이를 활용한 유도전동기 고정자 고장진단)

  • Go, Young-Jin;Lee, Buhm;Song, Myung-Hyun;Kim, Kyoung-Min
    • Journal of Institute of Control, Robotics and Systems
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    • v.20 no.4
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    • pp.408-413
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    • 2014
  • In this paper, we propose a fault diagnosis method based on Park's Vector Approach using the Euler's theorem. If we interpreted it as Euler's theorem, it is possible to easily find the phase angle difference between the healthy condition and the fault condition. And, we analyzed the variation of the phase angle and performed the diagnostic method of the induction motor using feature vectors that were obtained by using a Fourier transform. The analysis of time and speed variation of the motor was performed and, as a result, we could find more soft variations than rough variations. In particular, the analysis of the distortion through each phase shows that two-turn and four-turn shorted motors are linearly separable. In this experiment, we know that the maximum breakdown threshold value for determining steady-state fault detection is 49.0788. Simulation and experimental results show the more detectable than conventional method.