Diagnostic Bayesian Networks auto-construction and diagnostic strategy design based on multi-signal model

Author

Zhang Shigang ; Hu Zheng

Author_Institution

Sch. of Mechatron. Eng. & Autom., Nat. Univ. of Defense Technol., Changsha, China

fYear

2010

fDate

12-14 Jan. 2010

Firstpage

1

Lastpage

5

Abstract

Based on multi-signal model, a novel diagnostic Bayesian networks auto-construction method is proposed in this paper. Combined with information entropy theory, a diagnostic strategy with the ability of sequential fault diagnosis, multi-fault diagnosis and coupling faults diagnosis is designed. In order to deal with uncertain problems and increase diagnostic accuracy, the self adjustment method of diagnostic Bayesian networks (DBN) is also discussed. The effectiveness of the proposed method is verified by the application on a diesel engine test and diagnosis process.

Keywords

belief networks; condition monitoring; diesel engines; entropy; fault diagnosis; mechanical engineering computing; mechanical testing; autoconstruction; coupling faults diagnosis; diagnostic Bayesian network; diagnostic strategy design; diesel engine test; information entropy theory; multifault diagnosis; multisignal model; self adjustment method; sequential fault diagnosis; Bayesian methods; Condition monitoring; Design automation; Design engineering; Diesel engines; Fault diagnosis; Information entropy; Joining processes; Mechatronics; System testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Prognostics and Health Management Conference, 2010. PHM '10.

Conference_Location

Macao

Print_ISBN

978-1-4244-4756-5

Electronic_ISBN

978-1-4244-4758-9

Type

conf

DOI

10.1109/PHM.2010.5413507

Filename

5413507