Research on Relevance Modeling Method for Equipment Testability in Manufaturing Process

Abstract:

The task of equipment testability design should be carried out during manufacturing process, to improve the diagnostic capabilities of equipment. According to the equipment testing requirements, equipment failure modes and effects analysis were completed, all possible failure modes of the equipment design and manufacturing process were ensured, as well as the causes and impact of each failure mode, whereby the equipment functions and structure were divided. Then, the relevance model was used for testability analysis and modeling of equipment in manufaturing process, relevance graphical model and mathematics model of component units related to equipment were builded, and the preferred method was used to consider the reliability and cost, the equipment diagnostic tree was builded, the equipment testing program was presented. A numerical example indicates that the study can effectively improve the efficiency of the equipment testing and enhance the economy of the test in manufaturing process.

• Periodical: Applied Mechanics and Materials (Volume 252)
• Pages: 372-380
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.252.372
• Online since: December 2012
• Authors: Fang Li, Gang Liu, Peng Di
• Keywords: Diagnostic Tree, Equipment, Relevance Model, Testability

References

[1] LIU Song-feng, LIN Zhi-wen. Integrated diagnostics system engineering for vessel electronic equipment. CHINA SHIPREPAIR, 22(5): 45-49(2009).

[2] WANG Jin-yang, CHEN Sheng-jian, ZHANG Sheng-man, et al. Research on design for testability of mixed-signal circuits based on relevance model. MICROELECTORONICS & COMPUTER, 28(2): 157-161(2011).

[3] DEB S, PATTIPATIK, SHRESTHA R. QSI's integrated diagnostic toolset/ Proceedings of the IEEE Autotestcon. Anaheim: IEEE(1997).

[4] LIN Zhi-wen, LIU Song-feng, YANG Shi-yuan. Integrated diagnostics method based on D- matrix for vessel electronic equipment. JOURNAL OF NAVAL UNIVEITSITY OF ENGINEERING, 21(4): 87-91(2009).

[5] Huang Kao-li. Testiability Design Analysis for equipment. Weapon Industry Press, Beijing, (2005).

[6] Tian Zhong, Shi Jun-you. Testiability Design Analysis and Verification. Journal of Beijing University Aeronautics Astronautics Press, Beijing(2003).

[7] Julie M, Miler M.D., Carlos E. Diagnostic performance of coronary angiography by 64-row CT. AUTOTEESTCON, 11(27): 1143-1156(2009).

[8] Johan Skog, Tom Würdinger, Sjoerd van Rijn. Glioblastoma microvesicles transport RNA and proteins that promote tumour growth and provide diagnostic biomarkers. Nature Cell Biology, 16(11): 1470-1476(2008).

DOI: 10.1038/ncb1800

[9] PATTIPATI K R, ALEXANDRIDIS M G. Application of heuristic search and information theory to sequential fault diagnosis, 291-296, IEEE(1989).

DOI: 10.1109/isic.1988.65446

[10] TU Fang, PATTIPATI K R. Rollout strategies for sequential fault diagnosis. IEEE Transactions on System, Man, and Cybernetics (Part A: System and Humans), 33(1): 86-99(2003).

DOI: 10.1109/tsmca.2003.809206

[11] Justin McCrary. Manipulation of the running variable in the regression discontinuity design: A density test. HJournal of EconometricsH, 142(2): 698-714(2008).

DOI: 10.1016/j.jeconom.2007.05.005

[12] Susan P Buchbinder MD, Devan V Mehrotra PhD, Ann Duerr MD. Walkling. Efficacy assessment of a cell-mediated immunity HIV-1 vaccine (the Step Study): a double-blind, randomised, placebo-controlled, test-of-concept trial. HPermissions & ReprintsH, 372(9653): 1881-1893(2008).

DOI: 10.1016/s0140-6736(08)61591-3