適應性角速度VKF階次追蹤技術發展及參數特性分析

以作者查詢圖書館館藏

、以作者查詢臺灣博碩士

、以作者查詢全國書目

、勘誤回報

、線上人數：26

、訪客IP：18.188.110.150

姓名

朱威丞(Wei-cheng Chu) 查詢紙本館藏

畢業系所

機械工程學系

論文名稱

適應性角速度VKF階次追蹤技術發展及參數特性分析
(adaptive angular-velocity Vold-Kalman Filter Order Tracking)

相關論文

★ TFT-LCD前框卡勾設計之衝擊模擬分析與驗證研究	★ TFT-LCD 導光板衝擊模擬分析及驗證研究
★ 數位機上盒掉落模擬分析及驗證研究	★ 旋轉機械狀態監測-以傳動系統測試平台為例
★ 發射室空腔模態分析在噪音控制之應用暨結構聲輻射效能探討	★ 時頻分析於機械動態訊號之應用
★ VKF階次追蹤之探討與應用	★ 火箭發射多通道主動噪音控制暨三種線上鑑別方式
★ TFT-LCD衝擊模擬分析及驗證研究	★ TFT-LCD掉落模擬分析及驗證研究
★ TFT-LCD螢幕掉落破壞分析驗證與包裝系統設計	★ 主動式火箭發射噪音控制使用可變因子演算法
★ 醫學/動態訊號處理於ECG之應用	★ 光碟機之動態研究與適應性尋軌誤差改善
★ 具新型菲涅爾透鏡之超音波微噴墨器分析與設計	★ 醫用近紅外光光電量測系統之設計與驗証

檔案

[Endnote RIS 格式]

[Bibtex 格式]

[相關文章]

[文章引用]

[完整記錄]

[館藏目錄]

[檢視]

[下載]

本電子論文使用權限為同意立即開放。
已達開放權限電子全文僅授權使用者為學術研究之目的，進行個人非營利性質之檢索、閱讀、列印。
請遵守中華民國著作權法之相關規定，切勿任意重製、散佈、改作、轉貼、播送，以免觸法。

摘要(中)

本研究推導並實現一種新的弗德-卡曼濾波階次追蹤（Vold-Kalman Filtering Order Tracking, VKF_OT）方法，稱為適應性角速度VKF_OT(adaptive angular- velocity VKF_OT )，以改善原有角速度VKF_OT方法應用於旋轉機械狀態監測與故障診斷時之缺點，也就是運算時間長，並且無法線上即時運算。論文涵蓋了理論推導及數值模擬驗證，此外並對影響階次追蹤性能之權重因子以及結構方程式的相關函數(如參數 )進行討論。從處理三組不同之模擬訊號結果與工程應用得知，本文所提出之演算法可同時擷取並分離階次相近或交錯之旋轉訊號分量機械系統。由於適應性角速度VKF_OT是基於卡曼濾波器(Kalman Filter)之演算法，其具有即時運算的功能，因此可當作即時處理之工具。

摘要(英)

The study presents and implements one advanced VKF_OT approaches, i.e. adaptive angular-velocity VKF_OT techniques, to overcome the deficiencies of original VKF_OT schemes for condition monitoring and diagnosis of rotary machinery. This thesis comprises the theoretical derivation, numerical implementation, and experimental justification. Comparisons of the improved VKF_OT schemes to the original ones are accomplished through processing three synthetic signals composed of different order/spectral components. Some parameters such as the weighting factor, the correlation matrix of process noise, and unwanted signatures/noise, which influence tracking performance, are investigated in the study. Additionally, three experimentations are designed to justify the effectiveness of applying the developed VKF_OT techniques in practical works. These proposed schemes can simultaneously extract multiple order/spectral components, and effectively decouple close or crossing orders associated with multi-axial reference rotating speeds. Furthermore, the adaptive angular-velocity VKF_OT scheme based on the Kalman filter can be calculated on-line and implemented as a real-time processing application.

關鍵字(中)

★ 卡曼濾波器
★ 階次追蹤

關鍵字(英)

★ Vold-Kalman Filter
★ Order Tracking

論文目次

中文摘要 I
英文摘要 II
目錄 III
圖目 VI
表目 IX
第1章緒論 1
1.1 研究動機 1
1.2 相關文獻回顧 2
1.3 研究範圍 4
第2章 VKF階次追蹤之理論基礎 5
2.1適應性角位移VKF_OT 5
2.1.1結構方程式 6
2.1.2資料方程式 7
2.1.3基於卡曼濾波器求解幅值 8
2.2適應性角速度VKF_OT理論探討 12
2.2.1 結構方程式 12
2.2.2 資料方程式 15
2.2.3 基於卡曼濾波器求解波形 15
第3章參數探討與數值模擬 17
3.1權重因子之影響 18
3.2參數之影響 28
3.3 數值模擬 30
3.3.1基本階次信號 31
3.3.2 相近階次信號 34
3.3.3 交錯階次信號 37
3.4採樣頻率之影響 40
3.5 雜訊之影響 42
第4章適應性角速度VKF階次追蹤之工程運用 45
4.1 旋轉機械試驗平台 45
4.1.1試驗平台簡介 45
4.1.2 實驗設計與分析結果 49
4.2 電動機車A騎乘噪音分析 52
4.2.1 電動機車A介紹 52
4.2.2 實驗與結果分析 54
4.2 電動機車B騎乘噪音分析 60
4.2.1 電動機車B介紹 60
4.2.2 實驗與結果分析 61
第5章結論與未來展望 66
5.1 結論 66
5.2未來展望 67
參考文獻 69
附錄A 72

參考文獻

M.R. Bai, J. Jeng, and C. Chen, 2002, “Adaptive Order Tracking Technique Using Recursive Least-Square Algorithm,” Transactions of the ASME, Journal of Vibrations and Acoustics, Vol.124, pp. 502–511.
M.R. Bai, J. Hunang, M. Hong and F. Su, 2005, “Fault diagnosis of machinery using an intelligent order tracking system,” Journal of Sound and Vibration, Vol.280, pp. 699–718.
A. Brandt, T. Lagö, K. Ahlin, and J. Tuma, 2005, “Main Principles and Limitations of Current Order Tracking Methods,” Sound and Vibration, Vol. 39, No.3, pp.19-22.
C. Feldbauer and R. Höldrich, 2000, “Realization of a Vold-Kalman Tracking Filter — A Least Squares Problem”, Proceedings of the COST G-6 Conference on Digital Audio Effects, DAFX 1-4.
S. Haykin, 2002, Adaptive Filter Theory, Prentice Hall, Upper Saddle River, NJ 07458.
H. Herlufsen, S. Gade, H. Konstantin-Hansen and H. Vold, 1999, "Characteristics of the Vold-Kalman Order Tracking Filter," Sound and Vibration, Vol. 33, No.4, pp.34-44.
J. Leuridan, H. Vander Auweraer and H. Vold, 1994, “The Analysis of Nonstationary Dynamic Signals,” Sound and Vibration, pp.14-26, August 1994.
M.C. Pan and J.X. Chen, 2003, “Transmission Noise Identification Using Two-Dimensional Dynamic Signal Analysis,” Journal of Sound and Vibration, Vol.262, No.1, pp.117-140.
M.C. Pan and C.C. Chiu, 2006, “Investigation on Improved Gabor Order Tracking Technique and its Applications,” Journal of Sound and Vibration, Vol.295, Issue 3-5, pp.810-826.
M.C. Pan and C.C. Chiu, 2007, “Improvement on Gabor Order Tracking and Objective Comparison with Vold-Kalman-Filtering Order Tracking,” Mechanical Systems and Signal Processing, Vol.21, No.2, pp.653-667 .
M. Pan and Y.F. Lin, 2006, “Further Exploration of Vold-Kalman-Filtering Order Tracking with Shaft-Speed Information – (I) Theoretical Part, Numerical Implementation and Parameter Investigations,” Mechanical Systems and Signal Processing, Vol.20, No.5, pp.1134-1154.
M. Pan and Y.F. Lin, 2006, “Further Exploration of Vold-Kalman-Filtering Order Tracking with Shaft-Speed Information – (II) Engineering Applications,” Mechanical Systems and Signal Processing, Vol.20, No.6, pp.1410-1428.
M. J. Roberts, 2003, Signals and Systems: Analysis Using Transform Methods and MATLAB, McGraw-Hill, NY.
R. T. Sokolov, and J. C Rogers, 1995, "Removing Harmonic Signal Nonstationarity by Dynamic Resampling," Proceedings of the IEEE International Symposium on Industrial Electronics, Vol.1, pp.303~308 .
H. Vold, and J. Leuridan, 1993, “High Resolution Order Tracking at Extreme Slew Rate, Using Kalman Tracking Filters”, SAE Paper No.931288.
H. Vold, and J. Leuridan, 1995, “High Resolution Order Tracking Using Kalman Tracking Filters-Theory and Applications,” SAE Paper No. 951332.
H. Vold, M. Mains, and J. Blough, 1997, “Theoretical Foundation for High Performance Order Tracking with the Vold-Kalman Tracking Filter,” SAE Paper No.972007.
H. Vold, and H. Herlufsen, 1997, “Multi Axle Order Tracking with the Vold-Kalman Tracking Filter,” Sound and Vibration, Vol. 31, No.5, pp.30-34.
J.D. Wu, and C.W. Huang, 2004, “An application of recursive Kalman filtering algorithm in rotating machinery fault diagnosis,” NDT&E International,Vol. 37, pp. 411-419.
C.X. Wu, 2006, “ Advanced Vold-Kalman Filtering Order Tracking, ” Master Thesis of Nation Central University, Taiwan, Republic of China.
Q.D. Ye, 2007, “ Implementation of Advanced VKF Order Tracking in DSP and Its Applications, ” Master Thesis of Nation Central University, Taiwan, Republic of China.
林裕豐, 2002, VKF階次追蹤之探討與應用, 國立中央大學機械工程研究所碩士論文.
邱竣卿,2003, Gabor時頻與階次分析之探討暨工程運用, 國立中央大學機械工程研究所碩士論文.
陳建興, 2001, 階次分析之研究及工程應用, 國立中央大學機械工程研究所碩士論文.

指導教授

潘敏俊(Min-Chun Pan)

審核日期

2008-12-30

推文