Gearbox Fault Prognosis Based on CHMM and SVM

摘要：

　　A new gearbox fault prognosis scheme based on continuous hidden Markov model (CHMM) and support vector machine (SVM) is developed.Based on the features which are the energies of intrinsic mode functions (IMFs) decomposed by empirical mode decomposition (EMD) extracted from normal gearbox vibration signal,a CHMM is trained to model the normal condition.The logarithm of the probability of this CHMM is then used to detect any defects and assess their severity.Then,SVM is used to predict the value of new feature which is the logarithm of the probability.Experimental data collected from a gearbox degradation test is used to verify the efficacy of the new scheme.

关键词： CHMM SVM EMD fault prognosis gearbox

作者: Jianshe Kang Xinghui Zhang Jianmin Zhao Duanchao Cao

作者单位: Mechanical Engineering College Shijiazhuang, China

会议类型: 国际会议

会议名称: 2012 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering & The 3rd International Conference on Maintenance Engineering (2012质量,可靠性,风险,维修性及安全性工程国际会议(QR2MSE 2012 & ICME 2012))

会议地点: 成都

会议语种:英文

页码: 702-707

在线出版日期: 2012-06-15（万方平台首次上网日期，不代表论文的发表时间）