Research on Modeling Method Based on Multi-Signal Flow Model

Zhi Qiang Wang; Xu Yan; Chun Ping Wang

doi:10.4028/www.scientific.net/AMM.494-495.983

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 494-495Research on Modeling Method Based on Multi-Signal...

Research on Modeling Method Based on Multi-Signal Flow Model

Abstract:

Establishing a test system model is necessary guarantee to realize the state monitoring, and also the premise of optimizing test points. The modeling method, principle and steps based on multi-signal flow model were analyzed in this paper. And a test point optimization method based on this model was studied. Through analysis and comparison, the proposed method can reduce complexity of monitoring system, avoid blindness of the diagnosis and reasoning process, and improve efficiency of fault diagnosis.

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Periodical:

Applied Mechanics and Materials (Volumes 494-495)

Pages:

983-988

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.494-495.983

Citation:

Cite this paper

Online since:

February 2014

Authors:

Zhi Qiang Wang*, Xu Yan, Chun Ping Wang

Keywords:

Condition Monitoring, Multi-Signal Flow Model, Test Point Optimizing

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* - Corresponding Author

References

[1] LI Liang, YU Guang-ming, Discontinuous flying particle swarm optimization algorithm and its application to slope stability analysis, Journal Central South University of Technology, 2010 (4).

DOI: 10.1007/s11771-010-0566-5

Google Scholar

[2] Wen Xisen , Xu Yongcheng, The Theory and Application of Intelligent Build-in Test, National Defense Industry Press, (2002).

Google Scholar

[3] Deb S, pattipati K R, raghavan. Multi-Signal Flow Graphs: A Novel Approach for System Testability Analysis and Fault Diagnosis[C]. 1994.

DOI: 10.1109/autest.1994.381596

Google Scholar

[4] Yin Yan, Survey of State Monitoring and Failure Diagnose of Mechanical Equipment, Mining Machinery , 2004(3).

Google Scholar

[5] Hu Wenhua , Theory and Technology Research on Intelligent BIT Condition Monitoring and False Alarms Decreasing of Radar Equipment, Ordnance Engineering College, (2010).

Google Scholar

[6] Song Zhenyu Ding Yongpeng Liu, Zhe Application of Information Flow Model in the Most Optimized, Ship Electronic Engineering, 2010(9).

Google Scholar