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Title: Development of a Fuzzy-Logic Inference Technique for Fault Diagnosis in a Motorcycle Platform
Authors: 吳建達;王宇軒;白明憲
Contributors: 車輛科技研究所
Keywords: Fault diagnosis;Fuzzy logic inference;Adaptive order tracking
Date: 2006-06
Issue Date: 2014-04-29T07:31:53Z
Publisher: 中華民國自動化科技學會; 建國科技大學創新育成研發中心
Abstract: In the present study, a fault diagnosis system using acoustic emission with adaptive order tracking technique and fuzzy-logic interference for scooter platform is described. Order tracking of acoustic or vibration signal is a well-known technique that can be used for fault diagnosis of rotating machinery. Unfortunately, most of the conventional order-tracking methods are primarily based on Fourier analysis with the revolution of the machinery, the frequency smearing effect is often arises in some critical conditions. In the present study, the order tracking problem is treated as the tracking of frequency-varying bandpass signals and the order amplitudes can be calculated with high resolution. The order amplitude figures are then used for creating the data bank in the proposed intelligent fault diagnosis system. A fuzzy-logic inference is proposed to develop the diagnostic rules of data base in the present fault diagnosis system. The experimental works are carried to evaluate the effect of proposed system for fault diagnosis in a scooter platform under various operation conditions. The experimental results indicated that the proposed system is effective for increasing accuracy in fault diagnosis of scooters.
Relation: 2006 第十四屆全國自動化科技學術研討會
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