Broken Rotor Bar Fault Detection in Induction Motors using Transient Current Analysis 1 (original) (raw)
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Broken Rotor Bar Fault Detection in Induction Motors using Transient Current Analysis
2011
The Fast Fourier Transform (FFT) method is successfully used for the rotor fault detection purpose in the induction machine. It is based on the common-steady state analysis of the motor. This method is successfully used with Motor Current Signature Analysis (MCSA) technique for last three decades. However, this method is suffered from some serious drawbacks such as; it is applicable only in the constant load condition not for the variable load. The frequency-domain methods which are commonly used, need accurate slip estimation for frequency components localization in any spectrum. It is also not suitable at the no-load or light load condition of the motor. At light load, it is difficult to distinguish between healthy and faulty rotors because the characteristic of broken rotor bar fault frequencies are very close to fundamental component and their amplitude are small in comparison. As a result, detection of the fault and classification of the fault severity under light load is almos...
Broken rotor bars fault detection in induction motors using FFT: simulation and experimentally study
2019
This paper presents the fault detection of broken rotor bars based on the analysis technique, such as the fast Fourier transform (FFT), which utilize the steady-state spectral components of the stator quantities is considered. This technique has been given expected results, the accuracy of this technique depends on the loading conditions and constant speed of the motor. This method shows good theoretical and experimental results
Energies
The most often used motor in commercial drives is the induction motor. While the induction motor is operating, electrical, thermal, mechanical, magnetic, and environmental stresses can result in defects. Therefore, many researchers who are involved in condition monitoring have been interested in the development of reliable and efficient fault diagnostic technologies. This paper’s goal is to provide an overview of available fault detection methods for the broken rotor bar problem, one of several defects associated to induction motors. Despite the fact that it is less common than bearing or insulator failure, this fault may cause electrical machines to fail catastrophically. It can be quite harmful, especially in large motors, and it can develop as a result of manufacturing faults, repeated starting of the machine, mechanical stress, and thermal stress. Hence, a review on rotor defect diagnosis was conducted. In order to confirm rotor bar fracture, this research provides probable defe...
BROKEN ROTOR BAR FAULT DIAGNOSIS OF INDUCTION MOTOR BY SIGNAL PROCESSING TECHNIQUES
Induction motors finds application in almost every kind of industries all around the world. Although, Induction motors are extremely consistent, they are vulnerable to many types of faults. There are many methods available for detection of faults in Induction Motor but most of the methods require expensive sensor or specialized tools whereas current monitoring out of all does not require additional sensors. The Motor Current Signature Analysis uses the current spectrum of motor for locating characteristic fault frequencies. In the present paper, Matlab software is used to diagnosis the broken rotor fault of induction motor. Fast Fourier Transform (FFT) and Wavelet Transform (WT) are the two signal processing techniques which are used for diagnosis of the broken rotor fault in induction motors. The results and observations obtained are discussed and then final conclusions are made.
Rotor Broken Bar Fault Detection in Induction Motor Using Transformative Techniques
Journal of Electrical Engineering
Induction motors, especially squirrel cage induction motors, have an important role in industry. Their rotor may be failed under stresses depending on their application and get unexpected failure condition during motor operation. If the failure can be detected during its operation i.e. in transient condition then it prevent failure spread and also manufacture trip. The advancement in digital signal processing transformative techniques have enabled researchers to process more data in less time. Consequently, the information that is not previously available can be extracted from the collected data. In the light of these developments, condition monitoring in induction motor using transformative techniques has recently gather more attention from researchers. Earlier, there are many transformative techniques used for rotor broken bar fault detection purpose but each technique had some disadvantages. The most frequent techniques used by the researchers for rotor faults detection purpose, such as Fast Fourier Transform (FFT) and Short Term Fourier Transform (STFT). The FFT based method unable to diagnose rotor fault in the transient condition and in the noload condition. Therefore, some researchers proposed STFT technique which is able to diagnose fault in the transient conditions but faced frequency resolution problem. In the present paper, the rotor broken bar fault has been detected by time domain, frequency domain (FFT) and time-frequency domain (Wavelet Transform) transformative techniques. The wavelet transform technique solved all the above stated problems and detected fault in the transient and all loading conditions. The stator current motor parameter is used for the rotor fault detection purpose.
A Survey of Broken Rotor Bar Fault Diagnostic Methods of Induction Motor
Electrical, Control and Communication Engineering, 2018
Electrical machines, induction motors in particular, play a key role in domestic and industrial applications. They act as a work horse in almost every industry and are responsible for a big proportion of total generated electricity consumption worldwide. The faults in induction motors are degenerative in nature and can lead to a catastrophic situation if not diagnosed earlier. The failures can cause considerable financial loss in the form of unexpected downtime. Broken rotor bar is a very common and frequently occurring fault in most of industrial induction motors. To select a better, more accurate and reliable fault diagnostic technique, this paper presents a comprehensive literature survey on the existing motor current signature analysis (MCSA) based fault diagnostic techniques. Different well-known MCSA based fault diagnostic techniques are summarized in the form of basic theories, considering complexity of their implementation, merits and demerits.
A Comparison of Different Techniques for Induction Motor Rotor Fault Diagnosis
Journal of Physics: Conference Series, 2012
The problem of failures in induction motors is a large concern due to its significant influence over industrial production. Therefore a large number of detection techniques were presented to avoid this problem. This paper presents the comparison results of induction motor rotor fault detection using three methods: motor current signature analysis (MCSA), surface vibration (SV), and instantaneous angular speed (IAS). These three measurements were performed under different loads with three rotor conditions: baseline, one rotor bar broken and two rotor bar broken. The faults can be detected and diagnosed based on the amplitude difference of the characteristic frequency components of power spectrum. However IAS may be the best technique because it gives the clearest spectrum representation in which the largest amplitude change is observed due to the faults.
A new approach to detect broken rotor bars in induction machines by current spectrum analysis
Mechanical Systems and Signal Processing, 2007
In this paper, a new technique to detect broken rotor bars in polyphase induction machines is presented. Like most techniques, we employ the Fourier Transform of one stator current to make detection. But where the other methods use the Fourier Transform modulus, we propose an alternative approach by analyzing its phase. As shown by results, the Fourier Transform phase allows to detect one broken rotor bar when the motor operates under a low load. In order to improve the diagnosis and to permit the detection of incipient broken rotor bar, we complete the analysis with the Hilbert Transform. This transform provides good results and a partially broken rotor bar can be detected when the load torque is equal or greater than 25%. The main advantage of these methods is that it does not require a healthy motor reference to take the final decision on the rotor cage state.
Approach Signal for Rotor Fault Detection in Induction Motors
Journal of Failure Analysis and Prevention, 2013
This paper presents the fault detection of broken rotor bars based on the analysis technique, such as the fast Fourier transform (FFT), which utilize the steady-state spectral components of the stator quantities is considered. This technique has been given expected results, the accuracy of this technique depends on the loading conditions and constant speed of the motor. This method shows good theoretical and experimental results