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An Improved Test Selection Optimization Model Based on Fault Ambiguity Group Isolation and Chaotic Discrete PSO
Joint Authors
Zhou, Deyun
Tang, Yongchuan
Lv, Xiaofeng
Ma, Ling
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-01-15
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Sensor data-based test selection optimization is the basis for designing a test work, which ensures that the system is tested under the constraint of the conventional indexes such as fault detection rate (FDR) and fault isolation rate (FIR).
From the perspective of equipment maintenance support, the ambiguity isolation has a significant effect on the result of test selection.
In this paper, an improved test selection optimization model is proposed by considering the ambiguity degree of fault isolation.
In the new model, the fault test dependency matrix is adopted to model the correlation between the system fault and the test group.
The objective function of the proposed model is minimizing the test cost with the constraint of FDR and FIR.
The improved chaotic discrete particle swarm optimization (PSO) algorithm is adopted to solve the improved test selection optimization model.
The new test selection optimization model is more consistent with real complicated engineering systems.
The experimental result verifies the effectiveness of the proposed method.
American Psychological Association (APA)
Lv, Xiaofeng& Zhou, Deyun& Tang, Yongchuan& Ma, Ling. 2018. An Improved Test Selection Optimization Model Based on Fault Ambiguity Group Isolation and Chaotic Discrete PSO. Complexity،Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1133908
Modern Language Association (MLA)
Lv, Xiaofeng…[et al.]. An Improved Test Selection Optimization Model Based on Fault Ambiguity Group Isolation and Chaotic Discrete PSO. Complexity No. 2018 (2018), pp.1-10.
https://search.emarefa.net/detail/BIM-1133908
American Medical Association (AMA)
Lv, Xiaofeng& Zhou, Deyun& Tang, Yongchuan& Ma, Ling. An Improved Test Selection Optimization Model Based on Fault Ambiguity Group Isolation and Chaotic Discrete PSO. Complexity. 2018. Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1133908
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1133908