Abstract

Execution of an online detection technique for induction motor fault diagnosis and research at the current period of time is discussed in this paper. Wavelet packets transform (WPT)-based algorithm is used by the detection method for investigating and identification of many disruptions that happen in three-phase induction motors. The association of the coefficients of the WPT of line currents with the help of a main wavelet at the secondary level of resolution with a threshold discovered through an experiment at the time of the vital position can used to observe the motor reference point. The propagation of wavelet analysis and disintegration of the signal into an equivalent bandwidth which can attain a good disintegration of the solution than what wavelet analysis do is called as Wavelet packet analysis. In order to overcome accidental failing, the on-line fault diagnostics technology for the reduction of incipient errors is a must.

Highlights

  • Utmost extensively used mode of electrical device is because of its handiness and simple structure is Induction motors

  • The identification of device errors with the help of information got at the time of speed transients [6] and the calculation of device parameters [7]-[11] are the latest vogue in condition monitoring

  • This paper is a presentation of a Wavelet packets transform (WPT)-based method for on-line condition monitoring of an induction motor

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Summary

Introduction

Utmost extensively used mode of electrical device is because of its handiness and simple structure is Induction motors. Interrogation of final current waveforms [3] with the help of data collected below steady-state operating condition and can be used in appreciable concern in finding windings and other device errors This may necessitate the deliberation of measures like input power [4] or negative sequence ingredient [5]. The utmost dominant and possibly corrosive in induction motor are Stator inter-turn faults These faults get initiated as small shorts among a few turns in the similar winding which generate high current which results in serious decentralized rise in temperature and the defect progresses soon to a greater portion of the winding resulting in more increased destruction that might grow into a more serious turn-to-ground fault. Models are imitated with the help of the MATLAB SIMULINK and imitation conclusions are given. 1 HP, 415 V, 3 phase, 50 Hz induction motor is used in assessing it

Parameter Used for Fault Identification
Methodology
Wavelet Packet Transform
Feature Extraction
Experimental Setup
Simulation Result
Findings
Conclusion
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