Analysis of Induction Motor Drives with a Nonsinusoidal Supply Voltage Using Fourier Analysis

Jacovides, Linos J.

doi:10.1109/tia.1973.350001

Cited by 27 publications

(1 citation statement)

References 14 publications

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“…18,19 Selecting an adequate wavelet¯lter is crucial to identify the features of the fault voltage and current signals. The \optimal" wavelet for extracting a given signal is the one that can generate the most coe±cients with maximal values within the timescale domain, to represent the feature of a signal.…”

Section: Wavelet Trasformmentioning

confidence: 99%

Soft Set-Based Switching Faults Decision Making in DTC Induction Motor Drives

Turkmenoglu

Aktaş

Karataş

et al. 2014

J CIRCUIT SYST COMP

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This paper introduces a method for detection and identi¯cation of IGBT-based drive opencircuit fault of DTC induction motor drives. The detection mechanism is based on soft set theory and wavelet decomposition, if it is detailed, Z-product decision making method and sym2 wavelet decomposition have been used in the detection mechanism. In this method, the stator currents have been used as an input to the system. The stator current has been used for the detection of the fault. The signal analysis has been performed up to the six level details wavelets decomposition. Faulty switch is detected by applying soft set theory to sixth level wavelets transformation. This is the¯rst time applied to inverter in induction motor drives fault J CIRCUIT SYST COMP Downloaded from www.worldscientific.com by MONASH UNIVERSITY on 11/26/14. For personal use only.detection. The results demonstrate that the proposed fault detection and diagnosis system has very good capabilities.

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Section: Wavelet Trasformmentioning

confidence: 99%