影響力の競合を考慮した競合学習型ネットワークと電子部品の故障診断への応用

概要

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This paper describes a new approach for competitive self-growing neural network and its application to fault diagnosis of electric parts using image analysis. Conventional competitive network such as RCE network proposed by Cooper et. al. has a greenhand for its decision making process. Thus, we introduce the confidential voting process in order to avoid the ambiguous decision making in the network. Reliability of electric product is evaluated with some average properties such as the Mean Time To Failure. However, if we can find an efficient method for fault diagnosis of individual electric product, the more efficient maintenance and quality control can be performed. The basic concept of this study is that the performance degradation of carbon film resistor can be efficiently estimated from their images using the proposed method. We first discuss some essential issues to be considered in reliability problems. Experimental results by using the proposed competitive network with confidential voting are also described. It is shown that the network gives a good performance.
一般社団法人日本機械学会の論文
2001-03-25