Study on effective state monitoring of analog circuit based on HMM

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.