F-1132 カテゴリ境界設定法により構築したニューラルネットワークによる機械の異常診断(J26-3 ヘルスモニタリング(3))(J26 機械・構造物のヘルスモニタリング)

概要

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We investigate machine diagnostic systems by sound and vibration signals with neural networks (NN). In previous study, we introduced a new training method of NN by normal data and pseudo-normal data that is made near the normal data (Category-Boundary Method). In this paper, we propose how to make boundary data with statistical approach. In many cases, learning data have a certain statistical characteristics and we apply the characteristics to making boundary data. Next, we discuss an appropriate output function. A bounded output function has been used in our NN system, and we study an influence of the order of the bounded output function on a diagnosis by NN.
一般社団法人日本機械学会の論文
2001-08-22