English  |  正體中文  |  简体中文  |  全文筆數/總筆數 : 6507/11669
造訪人次 : 29718420      線上人數 : 366
RC Version 3.2 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
搜尋範圍 進階搜尋

請使用永久網址來引用或連結此文件: http://ir.ncue.edu.tw/ir/handle/987654321/18362

題名: An Expert System for the Diagnosis of Faults in Rotating Machinery Using Adaptive Order-Tracking Algorithm
作者: Wu, Jian-Da;Bai, Mingsian R.;Su, Fu-Cheng;Huang, Chin-Wei
貢獻者: 車輛科技研究所
關鍵詞: Signal processing;Fault diagnosis;Order-tracking;Adaptive RLS filter
日期: 2009-04
上傳時間: 2014-04-29T07:28:13Z
出版者: Elsevier Ltd
摘要: This paper describes an application of an adaptive order-tracking technique for the diagnosis of faults in rotating machinery. Conventional methods of order-tracking are primarily based on Fourier analysis with reference to shaft speed. Unfortunately, in some applications of order-tracking performance is limited, such as when a smearing problem arises and also in a multiple independent shaft system. In this study, the proposed fault diagnostic system is based on a recursive least-square (RLS) filtering algorithm. The problem is treated as the tracking of various frequency bandpass signals. Order amplitudes can be calculated with high-resolution in real-time implementation. The algorithm is implemented on a digital signal processor (DSP) platform for diagnosis and evaluated by experimental investigation. An experimental investigation is implemented to evaluate the proposed system in two applications of gear-set defect diagnosis and in the diagnosis of damaged engine turbocharger blades. The results of the experiments indicate that the proposed algorithm is effective in fault diagnosis for both experimental cases. Furthermore, a characteristic analysis and experimental comparison of a vibration signal and a sound emission signal for the present algorithm are also presented in this report.
關聯: Expert Systems with Applications, 36(3)Part1: 5424-5431
顯示於類別:[車輛科技研究所] 期刊論文

文件中的檔案:

檔案 大小格式瀏覽次數
index.html0KbHTML663檢視/開啟


在NCUEIR中所有的資料項目都受到原著作權保護.

 


DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - 回饋