A prognostic framework based on factorial Hidden Markov Model

In this paper, a system level fault diagnosis and prognosis framework is proposed. Test delay and prognostic dependency relationship are considered in a model based on Factorial Hidden Markov Model. By using time change, the inference problem can be transformed into a known one and thus can be solved using the previous algorithms. The proposed model and algorithm are tested on a simulated model, which shows that they have the potential to be applied to fault diagnosis and prognosis.

[1]  Kang G. Shin,et al.  Measurement and Application of Fault Latency , 1986, IEEE Transactions on Computers.

[2]  Michael J. Roemer,et al.  Advanced diagnostics and prognostics for gas turbine engine risk assessment , 2000, 2000 IEEE Aerospace Conference. Proceedings (Cat. No.00TH8484).

[3]  M.J. Roemer,et al.  Prognostic enhancements to diagnostic systems for improved condition-based maintenance [military aircraft] , 2002, Proceedings, IEEE Aerospace Conference.

[4]  M. Pecht,et al.  REMAINING LIFE ASSESSMENT OF SHUTTLE REMOTE MANIPULATOR SYSTEM END EFFECTOR ELECTRONICS UNIT 1 , 2003 .

[5]  Irith Pomeranz,et al.  Reducing fault latency in concurrent on-line testing by using checking functions over internal lines , 2004, 19th IEEE International Symposium on Defect and Fault Tolerance in VLSI Systems, 2004. DFT 2004. Proceedings..

[6]  M. Pecht,et al.  APPLICATIONS OF IN-SITU HEALTH-MONITORING AND PROGNOSTIC SENSORS , 2004 .

[7]  Zineb Simeu-Abazi,et al.  Monitoring and predictive maintenance: Modeling and analyse of fault latency , 2006, Comput. Ind..

[8]  Michael G. Pecht,et al.  A hybrid prognostics methodology for electronic products , 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

[9]  Peter Willett,et al.  The Problem of Test Latency in Machine Diagnosis , 2008, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[10]  M. Pecht,et al.  Model-based and data-driven prognosis of automotive and electronic systems , 2009, 2009 IEEE International Conference on Automation Science and Engineering.

[11]  Krishna R. Pattipati,et al.  Dynamic Multiple Fault Diagnosis: Mathematical Formulations and Solution Techniques , 2009, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[12]  Huiguo Zhang,et al.  A hybrid prognostics and health management approach for condition-based maintenance , 2009, 2009 IEEE International Conference on Industrial Engineering and Engineering Management.

[13]  Satnam Singh,et al.  A prognostic framework for health management of coupled systems , 2011, 2011 IEEE Conference on Prognostics and Health Management.

[14]  Krishna R. Pattipati,et al.  Dynamic Coupled Fault Diagnosis With Propagation and Observation Delays , 2013, IEEE Transactions on Systems, Man, and Cybernetics: Systems.