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Rotor Faults Detection in Induction Motor by Wavelet Analysis
Neelam Mehala,RATNA DAHIYA
International Journal of Engineering Science and Technology , 2009,
Abstract: Motor current signature analysis has been successfully used for fault diagnosis in induction motors. However, this method does not always achieve good results when the speed or the load torque is not constant, because this cause variation on the motor slip and fast Fourier transform problems appear due to non-stationary signal. This paper experimentally describes the effects of rotor broken bar fault in the stator current of induction motor operating under non-constant load conditions. To achieve this, broken rotor bar fault is eplicated in a laboratory and its effect on the motor current has been studied. To diagnose the broken rotor bar fault, a new approach based on wavelet transform is applied by using ‘Labview 8.2 software’ of National Instrument (NI). The diagnosis procedure was performed by using the virtual instruments. The theoretical basis of proposed method is proved by laboratory tests.
Bearing Fault Detection in Induction Motor Using Motor Current Signature Analysis
AKSHAT SINGHAL, MEERA A.KHANDEKAR
International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering , 2013,
Abstract: The health condition of induction motor can be effectively monitored using a non-intrusive method called Motor Current Signature Analysis (MCSA). The concept is to treat the electric motor as an implicit transducer built into motor-driven equipment; the current behaviour can thus be used to show various health conditions of the motor as well as the load it is driving. The objective of this work is to explore the feasibility of MCSA for continuous monitoring and diagnostic purposes. For signal processing we use Fast Fourier Transform. In summary, the findings show promising results which could lead to better reliability performance of the induction motor and lower maintenance costs.
Fault Diagnosis of Induction Motor Using MCSA and FFT
Electrical and Electronic Engineering , 2011, DOI: 10.5923/j.eee.20110102.14
Abstract: Both mechanical and electrical faults should be investigated carefully to get best operation of the induction motor. In this paper, a description of the diagnosis of the induction motor against unsymmetrical supply voltage and the broken rotor bar using the Motor Current Signature Analysis (MCSA) and Fast Fourier Transform (FFT) respectively has been explained. Investigations of the speed, torque, current and flux density have been done. The FTT investigation of the stator current to detect the broken rotor bar fault was performed. The control method used is the vector control.
MOTOR CURRENT SIGNATURE ANALYSIS AND NEGATIVE SEQUENCE CURRENT BASED STATOR WINDING SHORT FAULT DETECTION IN AN INDUCTION MOTOR
OVIEDO,SILVIA; QUIROGA,JABID; BORRáS,CARLOS;
DYNA , 2011,
Abstract: in this paper, negative sequence analysis and motor current signature analysis (mcsa) based approaches are applied to perform short fault detection of a single phase winding in an induction motor. the fault detection is carried out using the negative sequence analysis and spectral analysis of current signals. an experimental analysis is presented, showing the advantages and drawbacks for each method implemented. tests are performed in a 2 hp induction motor dedicated to this type of study. experimental results show variations in the fault indicator in both methods when the motor is running under different load conditions. although the negative sequence current method demands simultaneous three phase current sensing, it presents better performance for short fault detection and provides a fault severity level estimation.
MOTOR CURRENT SIGNATURE ANALYSIS AND NEGATI VE SEQUENCE CURENT BASED STATOR WINDING SHORT FAULT DETECTION IN AN INDUCTION MOTOR  [cached]
SILVIA OVIEDO,JABID QUIROGA,CARLOS BORRáS
DYNA , 2011,
Abstract: En este artículo se utilizan las técnicas MCSA y componentes secuenciales para la detección de cortocircuito de una fase del bobinado del estator de un motor de inducción. La detección de esta falla se realiza usando el análisis de corriente de secuencia negativa y del espectro de la se al de corriente. Se presenta un análisis experimental mostrando las ventajas y desventajas de cada método implementado. Se realizan pruebas en un banco de motores de inducción de 2 hp dedicado para este tipo de estudios. Los resultados experimentales muestran variaciones en el indicador de falla en ambos métodos cuando el motor está operando en diferentes condiciones de carga. Aunque la corriente secuencial negativa requiere el uso de sensores de corriente en las tres fases del motor, esta técnica presenta un mejor desempe o en la detección del cortocircuito del bobinado y proporciona un valor estimado de la severidad de la falla.
A Protection Scheme for Three-Phase Induction Motor from Incipient Faults Using Embedded Controller  [PDF]
M. Sudha,P. Anbalagan
Asian Journal of Scientific Research , 2009,
Abstract: This study presents a protection scheme for three-phase induction motor from incipient faults using embedded microcontroller. The induction motor experiences several types of electrical faults like over/under voltage, over load, phase reversing, unbalanced voltage, single phasing and earth fault. Due to these electrical faults, the windings of the motor get over heated which lead to insulation failure and thus reduce the life time of the motor. To analyze the behavior of induction motor during electrical faults, the induction motor is modeled using arbitrary reference frame theory in MATLAB/Simulink environment; the faults are created and the variation of the induction motor parameters under faulty conditions are observed. Based on the analysis, embedded controller is developed to protect the motor from incipient faults.
Virtual Instruments for Detecting Rotor Faults in Induction Motors  [cached]
Lorand Szabo,Jeno Barna Dobai,Karoly Agoston Biro
Advances in Electrical and Electronic Engineering , 2004,
Abstract: Rotating electrical machines play an important role in the world′s industrial life. Hence there is a demand on their reliable and safe operation. Their faults and failures can lead to excessive downtimes and generate enormous costs in reduced output, emergency maintenance and lost revenues. Therefore the detection methods of electrical machines are of real interest. For the rotor faults diagnosis of induction machines one of the most widely used methods is the so-called motor current signature analysis (MCSA). This method can be applied both to the squirrel-cage and to the wound rotor induction motors. For current measurements and a data processing virtual instruments are proposed. In this paper some results obtained in the case of the wound rotor induction machine will be presented.
Machine Fault Signature Analysis  [PDF]
Pratesh Jayaswal,A. K. Wadhwani,K. B. Mulchandani
International Journal of Rotating Machinery , 2008, DOI: 10.1155/2008/583982
Abstract: The objective of this paper is to present recent developments in the field of machine fault signature analysis with particular regard to vibration analysis. The different types of faults that can be identified from the vibration signature analysis are, for example, gear fault, rolling contact bearing fault, journal bearing fault, flexible coupling faults, and electrical machine fault. It is not the intention of the authors to attempt to provide a detailed coverage of all the faults while detailed consideration is given to the subject of the rolling element bearing fault signature analysis.
Detection of Bearing Faults of Induction Motor Using Park’s Vector Approach
Neelam Mehala,Ratna Dahiya
International Journal of Engineering and Technology , 2010,
Abstract: The reliability of an induction motor is of paramount importance in industrial, commercial, aerospace and military applications. Bearing play an important role in the reliability and performance of all motor systems. Due to close relationship between motor system development and bearing assembly performance, it is difficult to imagine the progress of modern rotating machinery without consideration of the wide application of bearing. Most faults arising in motors are often linked to bearing faults. This paper presents an experimental study to diagnose the bearing fault with help of Park’s vector approach. The experiment is conducted on 0.5 hp three phaseinduction motor. The bearing faults are replicated in the laboratory by drilling the outer and inner race of ball bearing with help of electric discharge machining. The LabVIEW software is used in the experiment to acquire the signal. The acquired signal is analyzed with Park vector approach. The current Park’s vector presentation is generated by programming in LabVIEW. The practical results show that Park’s Vector approach is an effective technique to diagnose the bearing fault at early stage.
A Review of Voltage and Current Signature Diagnosis in Industrial Drives  [cached]
K. Vinoth Kumar
International Journal of Power Electronics and Drive Systems , 2011, DOI: 10.11591/ijpeds.v1i1.64
Abstract: This paper presents the review of identify the different types of faults in the induction motor during online condition by using current and voltage signature analysis. Special attention is focused on the effect of both space distribution of rotor breakage and rotor dis-symmetry on the mechanism of generation of diagnosis signatures with the consideration of voltage supply unbalance and speed ripples. A comparison is made between the voltage signature analysis and current signature analysis. Keywords: Fault diagnosis, Induction motor, rotor breakage, MCSA, Motor voltage signature analysis (MVSA).
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