Extraction Method of Failure Signal by Genetic Algorithm and the Application to Inspection and Diagnosis Robot
スポンサーリンク
概要
- 論文の詳細を見る
In this study, an extraction method of failure sound signal which is strongly contaminated by noise is investigated by genetic algorithm and statistical tests of the frequency domain for the failure diagnosis of machinery. In order to check the extraction accuracy of the failure signal and obtain the optimum extraction of failure signal, the "existing probability P_s(t^*_k) of failure signal" and statistical information I_<qp> are defined as the standard indices for evaluation of the extraction results. It has been proven by practical field data and application of the inspection and diagnosis robot that the extraction method discussed in this paper is effective for detection of a failure and distinction of it's origin in the diagnosis of machinery.
- 社団法人電子情報通信学会の論文
- 1995-12-25
著者
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Toyota T
Japan Condition Diagnosis Technol. Lab. Inc. Kitakyushu Jpn
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Toyota Toshio
Faculty Of Computer Science And Systems Engineering Kyushu Institute Of Technology
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Chen Peng
Faculty of Computer Science and System Engineering, Kyushu Institute of Technology
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Chen Peng
Faculty Of Computer Science And System Engineering Kyushu Institute Of Technology
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Toyota Toshio
Faculty of Computer Science and System Engineering, Kyushu Institute of Technology
関連論文
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