An Approach to Fault Diagnosis Considering False Alarm and Middle State
- 10.2991/3ca-13.2013.104How to use a DOI?
- wavelet packet decomposition; HMM; analog circuit; fault diagnosis
In order to monitor the false alarm and fault middle state in the process of fault diagnosis simultaneously, a mixed Hidden Markov Model HMM considering the false alarm and fault middle state was proposed to reduce the false alarm and monitor the middle state of the system. First of all, the state classification in the process of the complex system state monitoring was studied. The system states were divided into normal state, intermittent failure, random failure, intermediate state and failure state, and then the mixed HMM was established to reflect the true state of the system. Secondly, the effective feature vectors were extracted based on wavelet packet decomposition method to eliminate redundancy and high dimension of original characteristic signal. Then all kinds of the HMM states were obtained through the model training, and fault diagnosis was implemented through inputting feature vector. At last, the feasibility and effectiveness of the method was verified by an example.
- © 2013, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Xiangqian Li AU - Shikai Jing AU - Jingtao Zhou PY - 2013/04 DA - 2013/04 TI - An Approach to Fault Diagnosis Considering False Alarm and Middle State BT - Proceedings of the 2nd International Symposium on Computer, Communication, Control and Automation PB - Atlantis Press SP - 427 EP - 430 SN - 1951-6851 UR - https://doi.org/10.2991/3ca-13.2013.104 DO - 10.2991/3ca-13.2013.104 ID - Li2013/04 ER -