An Approach to Fault Diagnosis Considering False Alarm and Middle State

DOI

10.2991/3ca-13.2013.104How to use a DOI?

Keywords

wavelet packet decomposition; HMM; analog circuit; fault diagnosis

Abstract

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.

Copyright

© 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/).

Download article (PDF)

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  -