NDLI: The sample allocation plan of testability verification for mechatronics equipment based on integrated multi-factor

Content Provider	IEEE Xplore Digital Library
Author	Yang He XiaoHui Ye JiangQing He
Copyright Year	2011
Description	Author affiliation: Naval University of Engineering, WuHan, China (Yang He; XiaoHui Ye) \|\| Naval Equipment Department, Beijing, China (JiangQing He)
Abstract	To settle the problem such as the low confidence level of the testability verification test conclusion resulting from the irrational sample allocation plan for mechatronics equipment, this paper proposes the sample allocation plan based on integrated multi-factor by analyzing some key factors that affect the confidence level of conclusion. The sample size of every UUT was counted by relative ratio of integrated multi-factor, which can optimize failure sampling structure and advance the representation of failure sampling set. Moreover, the single-step failure propagation algorithm was improved, and the algorithm can calculate failure propagation intensity more effectively. Finally, aimed at stabilization and tracking platform, this paper use the sample allocation plan based on integrated multi-factor to allocate samples. By analyzing the result, it proves that the plan can optimize failure sampling structure and improve the confidence level of the testability verification test conclusion.
Starting Page	1789
Ending Page	1792
File Size	330355
Page Count	4
File Format	PDF
ISBN	9781612847191
e-ISBN	9781612847221
DOI	10.1109/MEC.2011.6025831
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-08-19
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computers Mechatronics equipment Mechatronics Testability verification test The relative ratio of integrated multi-factor Sample allocation Educational institutions Resource management Mathematical model Circuit faults Equations
Content Type	Text
Resource Type	Article

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