State Recognition System of Mechanical Equipment based on the VS Theory and HSMM
It is significant to identify the running-states by obtaining and analyzing the vibration signals to avoid the faults. In this paper, the state recognition system is built based on the feature extraction with Varying Scale (VS) theory and Hidden Semi-Markov model (HSMM) with the example of bushing abrasion on diesel engine. The veracity of state identification can be improved effectively by banding them together. According to experiment and simulation researches, it indicates that the veracity of identification is 97.5％ in the 120 test samples after training with 80 training samples. It is satisfied for the demand to the engineering domain and it can be applied for vibration analysis for other complex machineries.
Signal analysis State recogintion Varying scales theoryt Hidden semi-markov models
Qiang Huang Qiuping Huang Jun Li
Jiujiang University Jiujiang, Jiangxi, P.R.China Jiujiang UniversityJiujiang, Jiangxi, P.R.China
国际会议
哈尔滨
英文
1542-1544
2011-08-12（万方平台首次上网日期，不代表论文的发表时间）