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@article{ART001851353},
author={강명수 and 장원철 and Jong Myon Kim},
title={High-Reliable Classification of Multiple Induction Motor Faults using Robust Vibration Signatures in Noisy Environments based on a LPC Analysis and an EM Algorithm},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2014},
volume={19},
number={2},
pages={21-30}

TY - JOUR
AU - 강명수
AU - 장원철
AU - Jong Myon Kim
TI - High-Reliable Classification of Multiple Induction Motor Faults using Robust Vibration Signatures in Noisy Environments based on a LPC Analysis and an EM Algorithm
JO - Journal of The Korea Society of Computer and Information
PY - 2014
VL - 19
IS - 2
PB - The Korean Society Of Computer And Information
SP - 21
EP - 30
SN - 1598-849X
AB - The use of induction motors has been recently increasing in a variety of industrial sites, andthey play a significant role. This has motivated that many researchers have studied on developing fault detection and classification systems of induction motors in order to reduce economical damagecaused by their faults. To early identify induction motor faults, this paper effectively estimatesspectral envelopes of each induction motor fault by utilizing a linear prediction coding (LPC)analysis technique and an expectation maximization (EM) algorithm. Moreover, this paperclassifies induction motor faults into their corresponding categories by calculating Mahalanobisdistance using the estimated spectral envelopes and finding the minimum distance. Experimentalresults show that the proposed approach yields higher classification accuracies than thestate-of-the-art conventional approach for both noiseless and noisy environments for identifyingthe induction motor faults.
KW - Induction motor;Fault classification;LPC Analysis;EMalgorithm;Mahalanobis distance
DO -
UR -
ER -

강명수, 장원철 and Jong Myon Kim. (2014). High-Reliable Classification of Multiple Induction Motor Faults using Robust Vibration Signatures in Noisy Environments based on a LPC Analysis and an EM Algorithm. Journal of The Korea Society of Computer and Information, 19(2), 21-30.

강명수, 장원철 and Jong Myon Kim. 2014, "High-Reliable Classification of Multiple Induction Motor Faults using Robust Vibration Signatures in Noisy Environments based on a LPC Analysis and an EM Algorithm", Journal of The Korea Society of Computer and Information, vol.19, no.2 pp.21-30.

강명수, 장원철, Jong Myon Kim "High-Reliable Classification of Multiple Induction Motor Faults using Robust Vibration Signatures in Noisy Environments based on a LPC Analysis and an EM Algorithm" Journal of The Korea Society of Computer and Information 19.2 pp.21-30 (2014) : 21.

강명수, 장원철, Jong Myon Kim. High-Reliable Classification of Multiple Induction Motor Faults using Robust Vibration Signatures in Noisy Environments based on a LPC Analysis and an EM Algorithm. 2014; 19(2), 21-30.

강명수, 장원철 and Jong Myon Kim. "High-Reliable Classification of Multiple Induction Motor Faults using Robust Vibration Signatures in Noisy Environments based on a LPC Analysis and an EM Algorithm" Journal of The Korea Society of Computer and Information 19, no.2 (2014) : 21-30.

강명수; 장원철; Jong Myon Kim. High-Reliable Classification of Multiple Induction Motor Faults using Robust Vibration Signatures in Noisy Environments based on a LPC Analysis and an EM Algorithm. Journal of The Korea Society of Computer and Information, 19(2), 21-30.

강명수; 장원철; Jong Myon Kim. High-Reliable Classification of Multiple Induction Motor Faults using Robust Vibration Signatures in Noisy Environments based on a LPC Analysis and an EM Algorithm. Journal of The Korea Society of Computer and Information. 2014; 19(2) 21-30.

강명수, 장원철, Jong Myon Kim. High-Reliable Classification of Multiple Induction Motor Faults using Robust Vibration Signatures in Noisy Environments based on a LPC Analysis and an EM Algorithm. 2014; 19(2), 21-30.

강명수, 장원철 and Jong Myon Kim. "High-Reliable Classification of Multiple Induction Motor Faults using Robust Vibration Signatures in Noisy Environments based on a LPC Analysis and an EM Algorithm" Journal of The Korea Society of Computer and Information 19, no.2 (2014) : 21-30.