Intelligent Vibration Signal Diagnostic System Using Artificial Neural Network | |
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學年 | 98 |
學期 | 1 |
發表日期 | 2009-10-10 |
作品名稱 | Intelligent Vibration Signal Diagnostic System Using Artificial Neural Network |
作品名稱(其他語言) | |
著者 | Lin, Chang-Ching; Shieh, Shien-Chii |
作品所屬單位 | 淡江大學經營決策學系 |
出版者 | IEEE Computer Society; IEEE Intelligent Computation Society; IEEE Computer Society on Simulation |
會議名稱 | Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on |
會議地點 | Changsha, Hunan |
摘要 | In this paper artificial neural network (ANN) technologies and analytical models have been investigated and incorporated to increase the effectiveness and efficiency of machinery self diagnostic system. Several advanced vibration trending methods have been studied and used to quantify machine operating conditions. An on-line, multi-channel condition monitoring procedure has been developed and coded. The major technique used for self diagnostic is a modified ARTMAP neural network. The objective is to provide a rigid solution for condition-based intelligent self diagnostic system. |
關鍵字 | |
語言 | en |
收錄於 | |
會議性質 | 國際 |
校內研討會地點 | |
研討會時間 | 20091010~20091011 |
通訊作者 | |
國別 | CHN |
公開徵稿 | Y |
出版型式 | |
出處 | Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on vol.1, pp.346-349 |
相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/66868 ) |