Title :
Study on fault evaluation in Software-intensive equipment
Author :
Hao, Xue-Liang ; Wang, Yi-Gang ; Zhu, Xiao-Dong
Author_Institution :
Maintenance Eng. Inst., Mech. Eng. Coll., Shijiazhuang, China
Abstract :
Fault pattern and mechanism of Software-intensive equipment are discussed and thought of application on fault diagnosis in Software-intensive equipment by HMM is presented. Based on the HMM theory, the algorithm of which is modified by multi-state reliability analysis to evaluate the state of Software-intensive equipment fault pattern. The result shows that the method presented can succeed in recognizing fault pattern of Software-intensive equipment and evaluating the state of system.
Keywords :
fault diagnosis; hidden Markov models; military computing; military equipment; reliability; HMM theory; fault diagnosis; fault evaluation; fault pattern; hidden Markov model; multistate reliability analysis; software-intensive equipment; Circuit faults; Data models; Fault diagnosis; Hidden Markov models; Mathematical model; Pattern recognition; multi-states reliability analysis; software-intensive equipment; state evaluating;
Conference_Titel :
Quality, Reliability, Risk, Maintenance, and Safety Engineering (ICQR2MSE), 2012 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4673-0786-4
DOI :
10.1109/ICQR2MSE.2012.6246245