scholarly journals Induction Motor Fault Diagnosis Based on Zero-Sequence Current Analysis

Energies ◽  
2020 ◽  
Vol 13 (24) ◽  
pp. 6528
Author(s):  
Arkadiusz Duda ◽  
Piotr Drozdowski
Keyword(s):  
Fault Diagnosis ◽  
Induction Motor ◽  
Induction Machines ◽  
Magnetic Core ◽  
Stator Winding ◽  
Current Component ◽  
Current Analysis ◽  
Zero Sequence ◽  
Rotor Cage ◽  
Motor Model

This paper presents some considerations regarding the application of the stator zero-sequence current component (ZSC) in the fault detection of cage induction machines, including the effects of magnetic core saturation. Faults such as rotor cage asymmetry and static, dynamic, and mixed eccentricity were considered. The research started by developing a harmonic motor model, which allowed us to obtain a voltage equation for the zero-sequence current component. The equation allowed us to extract formulas of typical frequencies for particular fault types. Next, in order to verify the effectiveness of ZSC in induction motor fault diagnosis, finite element calculations and laboratory tests were carried out for the previously mentioned faults for delta and wye connections with neutral wire stator winding configurations.

Operation of an induction motor supplied by voltage with interharmonics

2018 ◽  
Vol 2 (1) ◽  
pp. 47-53 ◽  
Author(s):  
Tomasz Drabek
Keyword(s):  
Induction Motor ◽  
Fundamental Frequency ◽  
Skin Effect ◽  
Induction Machines ◽  
Positive Sequence ◽  
Rotor Speed ◽  
Negative Sequence ◽  
Three Phase ◽  
Total Multiplicity ◽  
Rotor Cage

The paper discusses the effects of interharmonics, i.e. frequencies higher than the fundamental frequency, not being its total multiplicity, in the voltage supplying the induction motor. The emergence of interharmonics in a three-phase grid is mainly the result of the swinging of peak mains voltages. In induction machines, this results in the occurrence of currents with interharmonic and subharmonic frequencies, the generation of alternating moments, the swinging of the rotor speed and the change in the RMS value of the current of the fundamental frequency. The paper explores these phenomena simulation, taking into account the skin effect of currents in the rotor cage. The research was carried out both for interharmonics with a positive sequence of phases as well as for the negative sequence. The paper is a continuation of work [1].

scholarly journals Convolutional Neural Network-Based Stator Current Data-Driven Incipient Stator Fault Diagnosis of Inverter-Fed Induction Motor

Energies ◽  
2020 ◽  
Vol 13 (6) ◽  
pp. 1475 ◽  
Author(s):  
Maciej Skowron ◽  
Teresa Orlowska-Kowalska ◽  
Marcin Wolkiewicz ◽  
Czeslaw T. Kowalski
Keyword(s):  
Neural Network ◽  
Fault Diagnosis ◽  
Convolutional Neural Network ◽  
Induction Motor ◽  
Current Data ◽  
Operating Conditions ◽  
Stator Winding ◽  
Stator Current ◽  
Short Circuits ◽  
The Impact

In this paper, the idea of using a convolutional neural network (CNN) for the detection and classification of induction motor stator winding faults is presented. The diagnosis inference of the stator inter-turn short-circuits is based on raw stator current data. It offers the possibility of using the diagnostic signal direct processing, which could replace well known analytical methods. Tests were carried out for various levels of stator failures. In order to assess the sensitivity of the applied CNN-based detector to motor operating conditions, the tests were carried out for variable load torques and for different values of supply voltage frequency. Experimental tests were conducted on a specially designed setup with the 3 kW induction motor of special construction, which allowed for the physical modelling of inter-turn short-circuits in each of the three phases of the machine. The on-line tests prove the possibility of using CNN in the real-time diagnostic system with the high accuracy of incipient stator winding fault detection and classification. The impact of the developed CNN structure and training method parameters on the fault diagnosis accuracy has also been tested.

scholarly journals A Discrete Wavelet transform based Protection Scheme for Three Phase Induction Motor

2019 ◽  
Vol 8 (3) ◽  
pp. 6366-6370
Keyword(s):  
Wavelet Transform ◽  
Fault Diagnosis ◽  
Induction Motor ◽  
High Frequency ◽  
Discrete Wavelet ◽  
Stator Winding ◽  
Universal Model ◽  
Matlab Simulation ◽  
Protection Scheme ◽  
Three Phase

This paper has proposed an approachwhich detects the stator turn to turn faults and phase to ground faults in stator winding of three induction motor. This method proposes analysis of stator winding currents for both normal and fault conditions. High frequency universal model of three phase induction motor used for MATLAB simulation. By using the wavelet MRA technique, the approximate and detailed coefficients of the faulty voltage and current waveforms of the machine are generated under different fault conditions. From the approximate coefficients the type of the fault has been identified. Depending on the energies of the signal the fault diagnosis can be done. The proposed protection scheme is reliable and fast for various fault inception angles

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