A Novel Fault Diagnosis Framework Based on Reliability Analysis and Arithmetic Circuit

To meet the real-time diagnosis requirements of complex systems, this paper presents a novel fault diagnosis framework based on dynamic fault tree and arithmetic circuit. It pays attention to meeting two challenges: model development and real-time reasoning. Specifically, we use a dynamic fault tree to model dynamic fault modes and calculate some quantitative parameters using algebraic technique and Bayesian network (BN) in order to avoid the state space explosion problem. Furthermore, we compile a BN into an arithmetic circuit to obtain answers to probabilistic queries by evaluating and differentiating the arithmetic circuit. In addition, we incorporate sensors information into diagnosis process and propose the schemes on how to update the diagnostic importance factor and the minimal cut sequences. Finally, the example of a train-ground communication system is used to demonstrate the proposed method.

[1]  T. Assaf,et al.  Design for diagnosis using a diagnostic evaluation measure , 2005, IEEE Autotestcon, 2005..

[2]  J. Dugan,et al.  Minimal cut set/sequence generation for dynamic fault trees , 2004, Annual Symposium Reliability and Maintainability, 2004 - RAMS.

[3]  K. Wojtek Przytula,et al.  An efficient framework for the conversion of fault trees to diagnostic Bayesian network models , 2006, 2006 IEEE Aerospace Conference.

[4]  Cristian Mahulea,et al.  Fault Diagnosis of Discrete-Event Systems Using Continuous Petri Nets , 2012, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[5]  Adnan Darwiche,et al.  Compiling Bayesian Networks with Local Structure , 2005, IJCAI.

[6]  Ren Peng.  An improved method for system fault diagnosis using fault tree analysis , 2010 .

[7]  Liang Xiaofeng.  Intelligent Fault Diagnosis Method Based on Fault Tree , 2008 .

[8]  R. Duan,et al.  Diagnosis strategy for micro-computer controlled straight electro-pneumatic braking system using fuzzy set and dynamic fault tree , 2014 .

[9]  Ole J. Mengshoel,et al.  The Diagnostic Challenge Competition: Probabilistic Techniques for Fault Diagnosis in Electrical Power Systems , 2009 .

[10]  Ole J. Mengshoel,et al.  Diagnosis for uncertain, dynamic and hybrid domains using Bayesian networks and arithmetic circuits , 2014, Int. J. Approx. Reason..

[11]  Ole J. Mengshoel,et al.  Probabilistic Model-Based Diagnosis: An Electrical Power System Case Study , 2010, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[12]  Luigi Portinale,et al.  Improving the analysis of dependable systems by mapping fault trees into Bayesian networks , 2001, Reliab. Eng. Syst. Saf..

[13]  Rina Dechter,et al.  Bayesian Inference in the Presence of Determinism , 2003, AISTATS.

[14]  Jinghui Fan,et al.  Reliability Evaluation of Data Communication System Based on Dynamic Fault Tree under Epistemic Uncertainty , 2014 .

[15]  Zhao Shimin.  Information Fusion Method for System Fault Diagnosis Based on Dynamic Fault Tree Analysis , 2011 .

[16]  Adnan Darwiche,et al.  A differential approach to inference in Bayesian networks , 2000, JACM.

[17]  Nima Khakzad,et al.  Risk-based design of process systems using discrete-time Bayesian networks , 2013, Reliab. Eng. Syst. Saf..

[18]  Joanne Bechta Dugan,et al.  A discrete-time Bayesian network reliability modeling and analysis framework , 2005, Reliab. Eng. Syst. Saf..

[19]  Junyou Shi,et al.  An analytical model of electronic fault diagnosis on extension of the dependency theory , 2015, Reliab. Eng. Syst. Saf..

[20]  Mahmood Al-khassaweneh,et al.  Fault Diagnosis in Internal Combustion Engines Using Extension Neural Network , 2014, IEEE Transactions on Industrial Electronics.

[21]  T. Assaf,et al.  Diagnosis based on reliability analysis using monitors and sensors , 2008, Reliab. Eng. Syst. Saf..

[22]  Faisal Khan,et al.  Real-time fault diagnosis using knowledge-based expert system , 2008 .

[23]  Qunxiong Zhu,et al.  A Multilogic Probabilistic Signed Directed Graph Fault Diagnosis Approach Based on Bayesian Inference , 2014 .

[24]  Léa A. Deleris,et al.  From Reliability Block Diagrams to Fault Tree Circuits , 2012, Decis. Anal..

[25]  Adnan Darwiche,et al.  Modeling and Reasoning with Bayesian Networks , 2009 .

[26]  H. T. Mok,et al.  An Intelligent Online Fault Diagnostic Scheme for Nonlinear Systems , 2006, CCC 2006.

[27]  B. Ould Bouamama,et al.  Optimal sensor placement for fault diagnosis , 2009, 2009 IEEE International Conference on Mechatronics.

[28]  Joanne Bechta Dugan,et al.  On-board Diagnostic Expert System via an Enhanced Fault Tree Model , 2006 .

[29]  Shigeru Yanagi,et al.  Dynamic Fault Tree Analysis Using Bayesian Networks and Sequence Probabilities , 2013, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

[30]  Nevin Lianwen Zhang,et al.  Exploiting Contextual Independence In Probabilistic Inference , 2011, J. Artif. Intell. Res..