設備余寿命予測に関する研究 -遺伝的アルゴリズムによる最適予測法-
英字タイトル:
Life Prediction of Rolling Bearing Using Genetic Algorithm
著者:
陳山 鵬 Ho JINYAMA 小出 悠貴 Yuki KOIDE 李 可 Ka Li 薛 紅涛 Hongtao XUE 里永 憲昭 Noriaki SATONAGA
発刊日:
公開日:
Genetic AlgorithmsLife predictionRolling bearingRotating machine
Life Prediction of Rolling Bearing Using Genetic Algorithm
著者:
陳山 鵬 Ho JINYAMA 小出 悠貴 Yuki KOIDE 李 可 Ka Li 薛 紅涛 Hongtao XUE 里永 憲昭 Noriaki SATONAGA
発刊日:
公開日:
カテゴリ: 第8回
キーワードタグ:Genetic AlgorithmsLife predictionRolling bearingRotating machine
概要
Rolling bearing is the most part used in rotating machinery of industrial plant. The condition diagnosis technology of rolling bearing is very important and indispensable for the plant safety and operation stability. The purpose o f this study is to improve the accuracy of the life prediction for a rolling bearing. The paper proposes a searchin g method for the optimum mathematic function for the high accurate prediction by using the genetic algorithms (GA).
