Research on Failure Prediction Technology Based on Time Series Analysis and ACO-LSSVM

doi:10.3969/j.issn.1006-2475.2013.05.051

Computer and Modernization ›› 2013, Vol. 1 ›› Issue (5): 219-222,.doi: 10.3969/j.issn.1006-2475.2013.05.051

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Research on Failure Prediction Technology Based on Time Series Analysis and ACO-LSSVM

LIU Hai-yan, JIANG Ze-jun

School of Computer Science, Northwestern Polytechnical University, Xi’an 710129, China

Received:2012-12-04 Revised:1900-01-01 Online:2013-05-28 Published:2013-05-28

Abstract

Abstract: The traditional prediction method of mechanical equipment failure rate is of lower accuracy, it is unable to adapt the demand of modern equipment maintenance. This paper proposes a novel PHM algorithm based on ACO and LSSVM algorithms. Using time series analysis prediction method to calculate seasonal factor and combining with ACOLSSVM algorithm to model the failure rate of an aviation device, a good experimental result is obtained, and the comparative analysis of predicted result and actual result is given.
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Key words: PHM, time series analysis, LSSVM, ACO

CLC Number:

TP311.5

LIU Hai-yan;JIANG Ze-jun. Research on Failure Prediction Technology Based on Time Series Analysis and ACO-LSSVM[J]. Computer and Modernization, 2013, 1(5): 219-222,.

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Research on Failure Prediction Technology Based on Time Series Analysis and ACO-LSSVM

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