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Modeling of Failure Prediction Bayesian Network with Divide-and-Conquer Principle
Joint Authors
Si, Shubin
Sun, Shu-dong
Cai, Zhi-qiang
Si, Weitao
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-05-20
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
For system failure prediction, automatically modeling from historical failure dataset is one of the challenges in practical engineering fields.
In this paper, an effective algorithm is proposed to build the failure prediction Bayesian network (FPBN) model with data mining technology.
First, the conception of FPBN is introduced to describe the state of components and system and the cause-effect relationships among them.
The types of network nodes, the directions of network edges, and the conditional probability distributions (CPDs) of nodes in FPBN are discussed in detail.
According to the characteristics of nodes and edges in FPBN, a divide-and-conquer principle based algorithm (FPBN-DC) is introduced to build the best FPBN network structures of different types of nodes separately.
Then, the CPDs of nodes in FPBN are calculated by the maximum likelihood estimation method based on the built network.
Finally, a simulation study of a helicopter convertor model is carried out to demonstrate the application of FPBN-DC.
According to the simulations results, the FPBN-DC algorithm can get better fitness value with the lower number of iterations, which verified its effectiveness and efficiency compared with traditional algorithm.
American Psychological Association (APA)
Cai, Zhi-qiang& Si, Weitao& Si, Shubin& Sun, Shu-dong. 2014. Modeling of Failure Prediction Bayesian Network with Divide-and-Conquer Principle. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-454865
Modern Language Association (MLA)
Cai, Zhi-qiang…[et al.]. Modeling of Failure Prediction Bayesian Network with Divide-and-Conquer Principle. Mathematical Problems in Engineering No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-454865
American Medical Association (AMA)
Cai, Zhi-qiang& Si, Weitao& Si, Shubin& Sun, Shu-dong. Modeling of Failure Prediction Bayesian Network with Divide-and-Conquer Principle. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-454865
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-454865