rotor bar
An Experimental Investigation on Broken Rotor Bar in Three Phase Induction Motor by Vibration Signature Analysis using MEMS Accelerometer Maruthi.G.S. 1, Vishwanath Hegde2
... broken bar will not be able to drive the load because of decrease in average torque and reduction in ...(rotor bar damage and eccentricity fault) with one broken bar with eccentricity, two ...
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A new method of accurate broken rotor bar diagnosis based on modulation signal bispectrum analysis of motor current signals
... broken rotor bar detection, The results show the phase of DFT allows the detection of one broken rotor bar when the motor operates under a low load (25% of rated load) but the robustness of ...
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Investigation of Multiple Faults Detection in Electric Machine Using Broken Rotor Bar and Eccentricity Fault Frequencies Techniques
... broken rotor bar, stator or armature, misalignment, eccentricity and bearing related faults (bearing fault can also cause rotor eccentricity [3, ...
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Spectral Analysis of Misalignment in Machines Using Sideband Components of Broken Rotor Bar, Shorted Turns and Eccentricity
... Abstract - This paper inspects the misaligned motors by using diagnostic medium such as current, flux and instantaneous power signal. Misalignments in machines can cause decrease in efficiency and in the long-run it may ...
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Detection and Diagnosis of Broken Rotor Bar Based on the Analysis of Signals from a Variable Speed Drive
... broken rotor bar (BRB) is investigated analytically and experimentally based on induction motors (IM) with variable speed drives ...the rotor such as BRB will cause changes to current, voltage and ...
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Simultaneous Detection of Broken Rotor Bar Fault and PQ disturbances in the Supply to Induction Motor Using Neuro-Fuzzy
... When these faults are superimposed with the PQ disturbances then identification of health of the motor becomes difficult. Hence this calls for the continuous monitoring of the health of the motor. Condition monitoring ...
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Wavelet Transform based Broken Rotor bar Fault Detection and Diagnosis Performance Evaluations
... This paper presents the performances evaluation of different wavelet transform under broken rotor bars fault diagnosis. In this report, stator phase current was used for wavelet analysis. Discrete wavelet ...
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On the use of a lower sampling rate for broken rotor bar detection with DTFT and AR-based spectrum methods
... The spectral estimation techniques form the core of the MCSA techniques. These techniques are extensively elaborated in the signal processing media considering their pros and cons. However, there are only a few published ...
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Research on Fault Diagnosis of Broken Rotor Bar in Coal Mining Drive Motors
... Figure 2 is the wavelet packet reconstruction coefficient of the node (5, 8). It can be seen that the data length of the wavelet packet reconstruction signal of the normal motor and the motor of broken rotor ...
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Broken Rotor Bar Fault Detection of Induction Motors Using a Joint Algorithm of Trust Region and Modified Bare-bones Particle Swarm Optimization
... A precise detection of the fault feature parameter of motor current is a new research hotspot in the broken rotor bar (BRB) fault diagnosis of induction motors. Discrete Fourier transform (DFT) is the most ...
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Modeling and Analysis of Induction Machines under Broken Rotor bar Failures
... about rotor bar breakage is rotor bar resistance will increase along with bar broken severity ...Broken rotor bars simulation under software normally run by increasing bar ...
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IMPACT OF SKIN EFFECT FOR THE DESIGN OF A SQUIRREL CAGE INDUCTION MOTOR ON ITS STARTING PERFORMANCES
... Our main concern is to improve the starting performance of the squirrel cage induction motor using skin effect. For this purpose we have used two different types of squirrel cage induction motors. For getting the ...
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“Motor Current Signature Analysis for Fault Diagnosis and Condition Monitoring of Induction Motors using Interval Type-2 Fuzzy logic”
... broken rotor bar fault detection in an induction motor using motor current signal analysis (MCSA) and prognosis with interval type-2 fuzzy .../broken rotor bars, bearing ...broken rotor ...
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Fault Detection and Diagnosis of Electric Drives Using Intelligent Machine Learning Approaches
... in order to enhance the benefits of IMs. Chapter 5 presented the application of deep neu- ral network for IMs fault diagnosis. Two different parts of the induction motor, including rotor bar and bearing, ...
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A performance evaluation of two bispectrum analysis methods applied to electrical current signals for monitoring induction motor-driven systems
... of rotor systems driven by electrical ...different rotor faults, including broken rotor bar (BRB), downstream gearbox wear progressions and various compressor faults, and the diagnostic ...
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Stator faults, Air gap eccentricity, Voltage source inverter (VSI).
... Abstract: In modern industries Medium Voltage Induction Motors plays a crucial role. Nowadays every industries move towards zero error products and good revenue. Faults in an induction motor fails the mission such as ...
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Rotor Faults Detection in Induction Motor by Wavelet Analysis
... In order to make several measurements with healthy and faulty squirrel-cage induction motors a modern laboratory test bench was set up. It consists of an electrical machine coupled with rope brake dynamometer. The speed ...
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... the rotor resistance remains constant at the ...the rotor cage are linked by more slot leakage flux than the upper portions of the ...the rotor bar experiences a higher inductance than the ...
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Condition monitoring of induction motors : The detection of broken rotor bars in variable speed induction motor devices
... 9.3.3 Artificial Intelligence The frequency spectrum of the stator current of an induction motor with a broken rotor bar contains a very large number of frequency components, especially [r] ...
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Smart Classifiers Based Classification and Condition Monitoring of Induction Motor Faults
... broken rotor bar fault using SVM and KNN classifier and their results has been calculated on the basis of their classification accuracy generated during the different validation techniques and along with ...
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