The research and application of Vold-Kalman tracking filter

碩士 === 國立中央大學 === 機械工程研究所 === 90 === 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 estima...

Full description

Bibliographic Details
Main Authors: Yu-Feng Lin, 林裕豐
Other Authors: John H. Wu
Format: Others
Language:zh-TW
Published: 2002
Online Access:http://ndltd.ncl.edu.tw/handle/70067822091369773394
id ndltd-TW-090NCU05489064
record_format oai_dc
spelling ndltd-TW-090NCU054890642015-10-13T12:46:50Z http://ndltd.ncl.edu.tw/handle/70067822091369773394 The research and application of Vold-Kalman tracking filter VKF階次追蹤之探討與應用 Yu-Feng Lin 林裕豐 碩士 國立中央大學 機械工程研究所 90 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. John H. Wu Min-Jun Pan 吳漢雄 潘敏俊 2002 學位論文 ; thesis 68 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 碩士 === 國立中央大學 === 機械工程研究所 === 90 === 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.
author2 John H. Wu
author_facet John H. Wu
Yu-Feng Lin
林裕豐
author Yu-Feng Lin
林裕豐
spellingShingle Yu-Feng Lin
林裕豐
The research and application of Vold-Kalman tracking filter
author_sort Yu-Feng Lin
title The research and application of Vold-Kalman tracking filter
title_short The research and application of Vold-Kalman tracking filter
title_full The research and application of Vold-Kalman tracking filter
title_fullStr The research and application of Vold-Kalman tracking filter
title_full_unstemmed The research and application of Vold-Kalman tracking filter
title_sort research and application of vold-kalman tracking filter
publishDate 2002
url http://ndltd.ncl.edu.tw/handle/70067822091369773394
work_keys_str_mv AT yufenglin theresearchandapplicationofvoldkalmantrackingfilter
AT línyùfēng theresearchandapplicationofvoldkalmantrackingfilter
AT yufenglin vkfjiēcìzhuīzōngzhītàntǎoyǔyīngyòng
AT línyùfēng vkfjiēcìzhuīzōngzhītàntǎoyǔyīngyòng
AT yufenglin researchandapplicationofvoldkalmantrackingfilter
AT línyùfēng researchandapplicationofvoldkalmantrackingfilter
_version_ 1716865607236845568