Research on the Optimization Model of Fault Detection for Large-Scale Electronic Circuit

Abstract:

In current large-scale electronic circuit devices, failure data calibration capacity is not strong and it is difficult to be precise classification and intelligent judgment. It lacks of the necessary mechanisms to eliminate the error message, bringing troubles to fault detection. In order to avoid the above defect, this paper presents a fault detection method for large-scale electronic circuit based on fuzzy clustering algorithm. Firstly, the use of means clustering method, the fault information is made initial classification. Then, using the second fuzzy clustering method make fault information filtering in different categories, in order to achieve the fault data confirmation. Experimental results show that the proposed algorithm can effectively improve the accuracy of fault detection of large-scale electronic circuit.

• Periodical: Advanced Materials Research (Volumes 986-987)
• Pages: 1579-1582
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.986-987.1579
• Online since: July 2014
• Authors: Bao Zhen Feng*
• Keywords: Data Collection, Data Excluded, Fault Information

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