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Proceedings ArticleDOI

Detection of stator winding fault in induction motors using a motor square current signature analysis (MSCSA)

TL;DR: The motor square current signature analysis (MSCSA) is proposed, which uses the results of spectral analysis of the instantaneous square stator current to analyse the short-circuit fault inter-turn on an induction motor.
Abstract: In this paper the short-circuit fault inter-turn on the stator of an induction motor is analysed by an online diagnostic method. For the diagnostic method it is proposed the motor square current signature analysis (MSCSA). This method uses the results of spectral analysis of the instantaneous square stator current. The effects of stator square current spectrum are described and the related frequencies determined. This method is similar to the instantaneous power signature analysis, however has the advantage of just require one current sensor. Several simulation and experimental results are presented in order to illustrate the characteristics of the proposed method.
Citations
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Journal ArticleDOI
TL;DR: This paper presents the state of the art review describing different type of IM faults and their diagnostic schemes, and several monitoring techniques available for fault diagnosis of IM have been identified and represented.
Abstract: There is a constant call for reduction of operational and maintenance costs of induction motors (IMs) These costs can be significantly reduced if the health of the system is monitored regularly This allows for early detection of the degeneration of the motor health, alleviating a proactive response, minimizing unscheduled downtime, and unexpected breakdowns The condition based monitoring has become an important task for engineers and researchers mainly in industrial applications such as railways, oil extracting mills, industrial drives, agriculture, mining industry etc Owing to the demand and influence of condition monitoring and fault diagnosis in IMs and keeping in mind the prerequisite for future research, this paper presents the state of the art review describing different type of IM faults and their diagnostic schemes Several monitoring techniques available for fault diagnosis of IM have been identified and represented The utilization of non-invasive techniques for data acquisition in automatic timely scheduling of the maintenance and predicting failure aspects of dynamic machines holds a great scope in future

155 citations

Journal ArticleDOI
TL;DR: It is observed that the vibration-based techniques are reported to be effective for the identification of mechanical faults while motor current signature analysis is effective for electrical fault in an induction motor.
Abstract: An induction motor is at the heart of every rotating machine and hence it is a very vital component. Almost in every industry, around 90% of the machines apply an induction motor as a prime mover. It is a very important driving unit of the machine. Hence, it is necessary to monitor its condition to avoid any catastrophic failure and stoppage of production. The breakdown of the induction motor would not be affordable due to remarkable financial loss, unpredicted shutdown, and the associated repair cost. Vibration is a manifestation of induction motor due to the issues in alignment, balancing, and clearances. Bearing, the most vulnerable to failure due to continuous working under fatigue loading leads to defects. These defects cause changes in the vibration signature over time. The vibration monitoring techniques helps to effectively diagnose mechanical faults such as bearing defect and stator rotor rub. The purpose of this review paper is to summarize the major faults in induction motor, recent diagnostics methods augmented with advanced signal processing techniques, and real-life applications in electric vehicles. It also discusses possible research gaps and opportunities to contribute based on the review findings in the field of condition monitoring. This article presents a detailed review of recent trends in the research of condition monitoring and fault diagnosis of the induction motor. The emphasis is given on the major faults in the induction motor covering time-domain, frequency-domain, and time–frequency domain methods along with an application of artificial intelligence techniques for fault detection. This article presents a comprehensive review of literature which highlights the development and new propositions by researchers in the field of diagnostic techniques for the different faults of induction motor in the last decade. Researchers documented applications of the different conventional methods, advanced signal processing techniques, and soft computing techniques for fault identification of induction motor. This review is carried out for fault identification of induction motor used in machines in general and in particular for identifying the faults in an induction motor of an electric vehicle. A dedicated discussion on the review findings, research gaps, future trends in the field of condition monitoring of induction motor is presented. Condition monitoring of the induction motor in an electric vehicle is also discussed in this paper. It is observed that the vibration-based techniques are reported to be effective for the identification of mechanical faults while motor current signature analysis is effective for electrical fault in an induction motor. The review presented to analyze the suitability of various condition monitoring techniques for the induction motor fault identification in general and particularly its application in an electric vehicle. It is observed that the diagnosis of faults at the incipient level without using the signal processing technique is challenging. Fault diagnosis of induction motor has witnessed the changes from traditional diagnosis techniques to advanced techniques with a hybrid application of signal processing and artificial intelligence techniques. Still, there is a potential of improvement in reliability, efficiency, robustness, computational time, and real-time diagnostics of faults in IM.

51 citations

Proceedings ArticleDOI
21 May 2017
TL;DR: In this article, an approach to detect stator winding short-circuit faults in squirrel-cage induction motors based on Random Forest and Park's Vector is proposed, which is accomplished by scoring the unbalance in the current and voltage waveforms as well as in Park's vector, both for current and Voltage.
Abstract: In this paper, an approach to detect stator winding short-circuit faults in squirrel-cage induction motors based on Random Forest and Park's Vector is proposed. This is accomplished by scoring the unbalance in the current and voltage waveforms as well as in Park's Vector, both for current and voltage. To score the unbalance in the d-q space, a Principal Component Analysis is applied to Park's Vector and with the first two principal components the eccentricity is calculated, while the first principal component is used to determine the phase in short-circuit. The proposed strategy has been experimentally tested on a special 400-V, 50-Hz, 4-pole, 2.2-kW induction motor with reconfigurable stator windings in which it was possible to emulate different types of inter-turn short-circuits. The results are quite promising, even only using 1-kHz sampling frequency to acquire the current and voltage waveforms in the three phases, and the use of the Fast Fourier Transform is avoided. The developed solution may be used for tele-monitoring of the motor condition and to implement advanced predictive maintenance strategies.

28 citations


Cites methods from "Detection of stator winding fault i..."

  • ...Techniques based on the traditional Motor Current Signature Analysis (MCSA) approach or other more recent methods based on modern signal analysis methodologies have been proposed [4], [6], [7], being many of them based on the comparison of the spectrum between the diagnosed machine and the same machine in a healthy state....

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  • ...It was not possible to compare with the method presented in [6] with the presented one due to lack of information about sample frequency and experimental setup....

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Proceedings ArticleDOI
24 Apr 2017
TL;DR: There are several methods for detecting shorted turns in the stators of induction motors and some of them are simple, straightforward and efficient.
Abstract: Stator-related failures in induction machines are often encountered in industrial applications due to the unforeseen insulation damage This paper addresses the fast prognosis of inter-turn faults It presents simulation and measurement of the stator winding short circuit faults of a three-phase induction motor A 50 Hz four-pole 2 hp induction motor was operated under healthy and faulty conditions and the increase in backward sequence current component assessed It was found that the negative sequence component is a powerful component for the detection of inter-turn faults and simple algorithms allow it to be monitored and faults detected

22 citations


Cites background from "Detection of stator winding fault i..."

  • ...This type of model is difficult and costly to implement, since it requires more advanced devices [10]....

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01 Jan 2013
TL;DR: In this article, an identification technique for fault detection of induction machines using genetic algorithm is investigated, which indicates the presence of a winding fault and provides information about its nature and location.
Abstract: In this paper, an identification technique for fault detection of induction machines using Genetic Algorithm (GA) is investigated. The condition monitoring technique proposed in this paper indicates the presence of a winding fault and provides information about its nature and location. The data required for the proposed method are motor terminal voltages, stator currents and rotor speed obtained during steady state operation. The data is then processed off-line using an induction motor model in conjunction with GA to determine the effective motor parameters. The proposed technique is demonstrated using experimental data obtained from a 1.5 kW wound rotor three-phase induction machine with both stator and rotor winding faults considered. Results confirm the effectiveness of GA to properly identify the type and location of the fault without the need for knowledge of various fault signatures.

20 citations

References
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Proceedings ArticleDOI
17 Jun 2001
TL;DR: In this paper, the authors focus on experimental results to prove that motor current signature analysis (MCSA) can diagnose shorted turns in low voltage stator windings of three-phase induction motors.
Abstract: This paper focuses on experimental results to prove that motor current signature analysis (MCSA) can diagnose shorted turns in low voltage stator windings of three-phase induction motors. The diagnostic strategy is presented and variables that influence the diagnosis are discussed. Current spectra from motors with short-circuited turns (with and without short circuit current limiting resistors) are presented and fully analysed. Results from motors tested to failure are reported. The results in this paper were from industrial motors of different pole numbers with concentric and lap wound winding designs. Since stator failures account for a high percentage of failures, the results are particularly relevant to industry.

146 citations


"Detection of stator winding fault i..." refers background in this paper

  • ...In fact, induction motor faults, such as broken rotor bars, abnormal levels of air gap eccentricity, shorted turns in stator windings and certain mechanical problems, will originate in the stator winding currents components that are related with the fault type [4-8]....

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Journal ArticleDOI
TL;DR: In this article, a new motor square current signature analysis (MSCSA) fault diagnosis methodology is presented, which is based on three main steps: first, the induction motor current is measured; secondly, the square of the current is computed; and finally a frequency analysis of the square current is performed.

71 citations


"Detection of stator winding fault i..." refers background or methods in this paper

  • ...In fact, for the proposed method the characteristic frequencies related with the broken bar fault are s f s 2 , s f s 4 , ( ) s f s − 1 2 and ( ) s f s + 1 2 [19]....

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  • ...In order, to reduce the number of sensors, motor square current signature analysis (MSCSA) was proposed [19]....

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Journal ArticleDOI
TL;DR: This paper presents an application of a novel method for the diagnostics of electric and magnetic asymmetries of rotor cage in induction motor (IM) due to broken rotor bars, which provides a correct evaluation of faulty motor performance in modern supervision systems for electrical drives.
Abstract: This paper presents an application of a novel method for the diagnostics of electric and magnetic asymmetries of rotor cage in induction motor (IM) due to broken rotor bars. An increasing anomaly in magnetic field distribution results in degradation of steady-state and dynamic performance of an IM. This degradation can be determined through the analysis of the average duty cycle of the modulated supply voltage. Broken rotor bars would cause torque and speed ripple which is mitigated by an efficient speed-control algorithm. Consequently, specific oscillation in the duty cycle of the modulated stator voltage appears. This effect can be simply detected without additional hardware and therefore provides a correct evaluation of faulty motor performance, which is a very significant part of condition monitoring and diagnostic procedure in modern supervision systems for electrical drives.

69 citations

Journal ArticleDOI
TL;DR: In this article, an integrated approach for on-line induction motor fault detection and diagnosis is presented, which uses an automatic three-step algorithm using the stator currents and eigenvectors/eigenvalues of the 3D current referential.

45 citations


"Detection of stator winding fault i..." refers methods in this paper

  • ...Another similar technique is the 3D current referential approach [11]....

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Journal ArticleDOI
TL;DR: In this article, a new approach based on the current and a virtual flux is proposed for the detection of rotor cage fault in a three-phase PWM feed induction motor, which improves the signal to noise ratio.

43 citations


"Detection of stator winding fault i..." refers methods in this paper

  • ...Another similar method that has been used in an AC drive is the fault diagnosis of the induction motors based on a current and virtual flux approach [18]....

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