VKF階次追蹤之探討與應用; The research and application of Vold-Kalman tracking filter

NCUIR > Engineering College > Graduate Institute of Mechanical Engineering > Electronic Thesis & Dissertation > Item 987654321/2205

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/2205

Title:	VKF階次追蹤之探討與應用;The research and application of Vold-Kalman tracking filter
Authors:	林裕豐;Yu-Feng Lin
Contributors:	機械工程研究所
Keywords:	階次分析;弗德-卡門濾波器;order tracking;Vold-Kalman tracking filter
Date:	2002-06-18
Issue Date:	2009-09-21 11:40:49 (UTC+8)
Publisher:	國立中央大學圖書館
Abstract:	論文中所探討的VKF階次追蹤為一種旋轉機械階次分析法，相較於傳統分析法，其輸出結果具有極高之精確度，對於估測旋轉機械運轉時動態信號能量，及詮釋相關物理現象有莫大助益。本文涵蓋：緒論、VKF階次追蹤之實現與模擬測試、角位移VKF階次追蹤的實際運用、結論以及附錄等。文中並討論權重因子（weighting factor）與VKF階次追蹤的時域與頻域響應間的關係，以作為權重因子選擇的依據。在實際工程應用部分，分別對於兩台由不同傳動系統所構裝之電動機車、及研究室自行設計的傳動元件實驗平台進行運轉特性探討。藉由量測之信號，驗證角位移VKF分離相近與交錯階次信號之功能；並釐清皮帶輪傳動系統所組成之電動機車於運轉時主要的噪音源，以作為後續改進之依據。最後比較VKF階次追蹤與短時間傅立葉法之間的優缺點作為結論。因所得之VKF階次追蹤數學形式與調適濾波器中的韋勒濾波器（Wiener filter）相同，所以於附錄中概述此型濾波器，以對VKF階次追蹤有更完整的瞭解。 The Vold-Kalman tracking filter (VKF) is one of order tracking techniques for rotating machines. The tracking results from the VKF algorithm possess extremely accuracy compared with conventional methods such as FFT-based techniques. It is a useful tool for estimating the energy of a certain order component embedded in a dynamic signal resulting from the operation of a rotary machine. Besides, the VKF order tracking techniques offer helpful information for interpretation of physical phenomena. The contents of the thesis include introduction, the theoretical part and numerical implementation of the VKF techniques, the application of the angular-displacement VKF technique and conclusion. The thesis have discussed the relation between the weighting factor to frequency and time-response. This result supplies for choosing to choose weighting factors. In real application, the signal is generated by two electric motor with different transmitting system and a rotate machine. By measured signal, demonstrate VKF can decouple closing or crossing frequency trajectories. In conclusion, discuss the differences between the VKF and the short time Fourier transform.
Appears in Collections:	[機械工程研究所] 博碩士論文

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