火力与指挥控制2018，Vol.43Issue(2)：91-97,101,8.DOI:10.3969/j.issn.1002-0640.2018.02.019
基于改进HMM的模拟电路故障预测模型
Based on Improvement of HMM Analog Circuit Fault Prognostics Model
摘要
Abstract
In view of the problem existing in analog circuit system PHM technology support part of prediction such as low accuracy and the immediate effect,this paper proposes a HMM degradation recognition model based on optimizing and improving MCGCPSO. Combined fault feature extraction method of wavelet packet with LDA feature dimension reduction method,this paper ensures the nonlinear part feature information is fully extracted and avoids the problem of high dimension;the optimized HMM model using MCGCPSO improves the classification accuracy degradation recognition model on the basis of the principle of classification interval maximum,and a simulation is carried out. Finally,as the new a circuit fault prediction model,the combination of MCGCPSO-HMM and the improved grey model can overcome the defect of single forecasting method performance is not stable. It is verified by simulation experiments that the combination of MCGCPSO-HMM and the improved grey model has higher predictive accuracy.关键词
模拟电路/故障预测/粒子群/隐马尔科夫模型/灰色模型Key words
analog circuit/fault prognostics/PSO/HMM/grey model分类
信息技术与安全科学引用本文复制引用
钟英榕,尚闻博,吴长峰,吴瑶..基于改进HMM的模拟电路故障预测模型[J].火力与指挥控制,2018,43(2):91-97,101,8.基金项目
军队科研重点基金(KJ2012184) （KJ2012184）
陕西省自然科学基础研究计划资助项目(2014JM8344) （2014JM8344）
