计算机与现代化 ›› 2013, Vol. 1 ›› Issue (5): 219-222,.doi: 10.3969/j.issn.1006-2475.2013.05.051
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刘海燕，蒋泽军
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LIU Hai-yan, JIANG Ze-jun
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摘要： 传统的机械设备故障率预测方法正确率低，已不能适应现代化设备的检修需求。本文在探讨ACO和LSSVM算法的基础上，提出一种新的PHM算法。利用时间序列预测法计算出季节因子并结合ACO-LSSVM算法对航空某设备的故障率进行建模，得到较好的实验结果，并给出预测结果和实际结果的对比分析。
关键词: PHM, 时间序列分析, LSSVM, ACO
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 ACOLSSVM 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.
Key words: PHM, time series analysis, LSSVM, ACO
中图分类号:
TP311.5
刘海燕;蒋泽军. 基于时间序列分析和ACOLSSVM的故障预测技术研究[J]. 计算机与现代化, 2013, 1(5): 219-222,.
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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链接本文: http://www.c-a-m.org.cn/CN/10.3969/j.issn.1006-2475.2013.05.051
http://www.c-a-m.org.cn/CN/Y2013/V1/I5/219
