National Changhua University of Education Institutional Repository : Item 987654321/18362
English  |  正體中文  |  简体中文  |  Items with full text/Total items : 6507/11669
Visitors : 30076560      Online Users : 821
RC Version 3.2 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Adv. Search
Login ‧ Upload ‧ Help ‧ About ‧ Administer
NCUEIR > College of Technology > vr > Periodical Articles >  Item 987654321/18362

Please use this identifier to cite or link to this item: http://ir.ncue.edu.tw/ir/handle/987654321/18362

Title: An Expert System for the Diagnosis of Faults in Rotating Machinery Using Adaptive Order-Tracking Algorithm
Authors: Wu, Jian-Da;Bai, Mingsian R.;Su, Fu-Cheng;Huang, Chin-Wei
Contributors: 車輛科技研究所
Keywords: Signal processing;Fault diagnosis;Order-tracking;Adaptive RLS filter
Date: 2009-04
Issue Date: 2014-04-29T07:28:13Z
Publisher: Elsevier Ltd
Abstract: 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.
Relation: Expert Systems with Applications, 36(3)Part1: 5424-5431
Appears in Collections:[vr] Periodical Articles

Files in This Item:

File SizeFormat
index.html0KbHTML684View/Open


All items in NCUEIR are protected by copyright, with all rights reserved.

 

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