Study on Effective State Monitoring of Analog Circuit Based on HMM

摘要：

Feature extraction is the most important step in effective state monitoring of analog circuit.Due to variety of features,the paper proposes a new approach to monitor state of analog circuit: Firstly,composite features including time-domain features and wavelet features are extracted from the response signal through giving different stimulus to analog circuit; Secondly,HMMs trained by composite features are utilized to recognize different faults,thus we can acquire effective state monitoring of analog circuit.The proposed approach is applied to a typical analog circuit and experimental results show that the proposed approach provides a better monitoring ability by comparing with BP network and offers a practical method for state monitoring of analog circuit.

作者: Lijia.Xu Bing.Long Houjun.Wang Jianheng.Jiang

会议类型: 国际会议

会议名称: Asia Simulation Conference 2008/the 7th International Conference on System Simulation and Scientific Computing(2008亚洲仿真会议/第七届系统仿真和科学计算国际会议)(ICSC2008)

会议地点: 北京

会议语种:英文

在线出版日期: 2008-10-10（万方平台首次上网日期，不代表论文的发表时间）