| 研究生: |
曾奕嘉 YI-JIA,ZENG |
|---|---|
| 論文名稱: |
動態訊號分析工具箱發展與機械故障診斷應用研究 |
| 指導教授: | 潘敏俊 |
| 口試委員: | |
| 學位類別: |
碩士 Master |
| 系所名稱: |
工學院 - 機械工程學系 Department of Mechanical Engineering |
| 論文出版年: | 2015 |
| 畢業學年度: | 103 |
| 語文別: | 中文 |
| 論文頁數: | 102 |
| 中文關鍵詞: | 訊號分析 、人機介面 、機械故障診斷 |
| 相關次數: | 點閱:18 下載:0 |
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本研究將實驗室多年研究開發的振噪訊號分析演算法利用 LabVIEW^® 與 MATLAB^® 程式互相搭配編寫成人機介面,並系統性地架構於ㄧ工具箱介面,開發一套適用於旋轉機械互動式監測診斷系統。
論文涵蓋訊號分析理論基礎、介面功能規劃測試、及工廠實務驗證等。理論基礎中介紹並比較介面內有的訊號分析演算法;預設機械運轉時可能發生的問題設計實驗,實際量測並善用各演算法優點,分析診斷機械運轉狀態,藉此測試系統的有效性,確認可達到機械狀態監測診斷之目的。
研究中至業界廠房進行實地量測,對研磨機進行軸承狀態監測,並由軸承分析結果與加工工件品質進行討論,結果驗證本研究人機介面系統能有效的分析診斷研磨機狀態。
The purpose of this study is employing LabVIEW® and MATLAB® to establish the user interface for the algorithm of signal analysis and developing a monitoring system for diagnosing the rotary machine.
The thesis includes the theoretical foundation of signal analysis and verification of the functional performance of the interface. This study designed the experiments for testing the efficiency of each algorithm when monitoring the rotary machines.
After verifying the efficiency of each algorithms, the system is used to monitor the status of bearing in grinding machine of the factory. According to the analytical result of discussing the quality of the workpiece, the system is confirmed to have high accuracy for diagnosing the status.
G. F. Bin , J. J. Gao , X. J. Li and S. Dhillon ,“Early fault diagnosis of rotating machinery based on wavelet packets-Empirical mode decomposition feature extraction and neural network , ” Mechanical Systems and Signal Processing, Volume 27, Pages 696-711, February 2012.
J. Cheng , D. Yu and Y. Yang ,“ The application of energy operator demodulation approach based on EMD in machinery fault diagnosis , ” Mechanical Systems and Signal Processing, Volume 21, Issue 2, Pages 668-677, February 2007.
S. Delvecchio , G. D’Elia , E. Mucchi and G. Dalpiaz , “Advanced Signal Processing Tools for the Vibratory Surveillance of Assembly Faults in Diesel Engine Cold Tests, ” Journal of Vibration and Acoustics, Vol. 132 , pp.021008-1, 2010.
W. Dou , Z. S. Liu and X. Wang ,“ Application of Image Recognition Based on Artificial Immune in Rotating Machinery Fault Diagnosis , ” Bioinformatics and Biomedical Engineering 2007, The 1st International Conference on ,Page(s): 1047 – 1052 , 2007.
Z. Feng , M. Liang and F. Chu ,“ Recent advances in time–frequency analysis methods for machinery fault diagnosis A review with application examples, ” Mechanical Systems and Signal Processing, Volume 38, Issue 1, Pages 165-205, 5 July 2013.
Y. Guo and K. K. Ton ,“ High efficient crossing-order decoupling in Vold–Kalman filtering order tracking based on independent component analysis , ” Mechanical Systems and Signal Processing, No.24, pp. 1756–1766 , 2010.
H. Hassanpour , A time frequency approach for noise reduction , Digit . Signal Process . 18 (2008) 728–738 .
Q. He ,“Time–frequency manifold for nonlinear feature extraction in machinery fault diagnosis, ” Mechanical Systems and Signal Processing, Volume 35, Issues 1–2 , Pages 200-218, February 2013.
Q. He , R. Du and F. Kong ,“ Phase Space Feature Based on Independent Component Analysis for Machine Health Diagnosis , ” Journal of Vibration and Acoustics, Vol. 134 ,pp. 021014-1, 2012.
H. Jiang , C. Li and H. Li ,“An improved EEMD with multi-wavelet packet for rotating machinery multi-fault diagnosis , ” Mechanical Systems and Signal Processing, Volume 36, Issue 2, Pages 225-239, April 2013.
X. Jiang and J. Gao ,“Fault Diagnosis System for Industrial Machinery Based on Embedded HTML5, ” Information and Automation (ICIA), IEEE International Conference on , Page(s): 653 – 658, 2013.
Y. Jin and Z. Hao , “An Improved Flowchart for Gabor Order Tracking with Gaussian Window as the Analysis Window ,” EURASIP Journal on Advances in Signal Processing, Article ID 507215, 2011.
Y. Lei , Z. He and Y. Zi ,“ Application of the EEMD method to rotor fault diagnosis of rotating machinery , ” Mechanical Systems and Signal Processing , Volume 23, Issue 4, Pages 1327-1338, May 2009.
Y. Lei , J. Lin , Z. He and M. J. Zuo ,“ A review on empirical mode decomposition in fault diagnosis of rotating machinery , ” Mechanical Systems and Signal Processing, Volume 35, Issues 1–2, Pages 108-126, February 2013.
B. Li and Y. Zhang ,“Supervised locally linear embedding projection (SLLEP) for machinery fault diagnosis , ” Mechanical Systems and Signal Processing , Volume 25, Issue 8, Pages 3125-3134, November 2011.
H. Liu , C. Liu and Y. Huang , “Adaptive feature extraction using sparse coding for machinery fault diagnosis , ” Mechanical Systems and Signal Processing , Volume 25, Issue 2, Pages 558-574, February 2011.
X. Liu , L. Ma and J. Mathew ,“Machinery Fault Diagnosis Based on Feature Level Fuzzy Integral Data Fusion Techniques , ” Mechanical Systems and Signal Processing, Volume 23, Issue 3, Pages 690-700, April 2009.
M. C. Pan , “ Integrated Study of Time-Frequency Representations and Their Applications in Source Identification of Mechanical Noise, ” JSME International Journal – Series C: Mechanical Systems, Machine Elements and Manufacturing, Vol.45, No.3, pp.665-672, 2002.
M. C. Pan and J. X. Chen ,“Transmission Noise Identification Using Two-Dimensional Dynamic Signal Analysis,” Journal of Sound and Vibration, No.262, pp.117-140, 2003.
M. C. Pan and C. C. Chiu, “Investigation on Improved Gabor Order Tracking Technique and Its Applications,” Journal of Sound and Vibration, No.295, pp.810-826, 2006.
M. C. Pan and J. Y. Huang , “Dynamic Interpretation of Transmission Systems Using Advanced Time-Frequency Representation ,” Journal of the Chinese Institute of Engineers, Vol.27, No.7, pp.1087-1092, 2004.
M. C. Pan and S. W. Liao, “Biomedical Signal Reconstruction using Gabor Spectral tracking Technique,” International Journal of Information Acquisition, Vol.3, No.1, pp.25-31, 2006.
M. C. Pan , S. W. Liao and C. C. Chiu , “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, 2007.
M. C. Pan , P. C. Lee and Y. R. Cheng , “Remote Online Machine Condition Monitoring System,” Measuremen, Vol.41, Issue 8, pp.912-921, 2008.
M. C. Pan and Y. F. Lin , “ Further Exploration of Vold-Kalman-Filtering Order Tracking with Shaft-Speed Information – (I) Theoretical Part, Numerical Implementation and Parameter Investigation, ” Mechanical Systems and Signal Processing, Vol. 20 No. 5, pp.1134-1154, 2006.
M. C. Pan and Y. F. Lin , “ 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, 2006.
M. C. Pan and W. C. Tsao , “Using Appropriate IMFs for Envelope Analysis in Multiple Fault Diagnosis of Ball Bearings ,” International Journal of Mechanical Sciences, Vol.69,pp.114–124, 2013.
M. C. Pan and C. X. Wu , “Adaptive Vold - Kalman Filtering Order Tracking, ” Mechanical Systems and Signal Processing, Vol.21, Issue 8, pp.2957-2969, 2007.
M. C. Pan and C. X. Wu , “ Extended Angular-Velocity Vold-Kalman Order Tracking,” Journal of Dynamic Systems Measurement and Control-Transactions of the ASME, Vol. 132(3), 031001, 2010.
M. J. E. Salami , T. I. B and A. U. Jibia , “ Development of Real-Time Software Interface for Multicomponent Transient Signal Analysis Using Labview and Matlab,”Mechatronics (ICOM), 2011 4th International Conference On , Page(s): 1 – 5 , 2011.
V. T. Tran , B. S. Yang , F. Gu and A. Ball ,“Thermal image enhancement using bi-dimensional empirical mode decomposition in combination with relevance vector, ”Mechanical Systems and Signal Processing , Volume 38, Issue 2, Pages 601-614, 20 July 2013.
W. C. Tsao , Y. F. Li , D. D. Le and M. C. Pan , “An Insight Concept to Select Appropriate IMFs Proceeded with Envelope Analysis for Bearing Fault Diagnosis ,” Measurement, Vol.45, Issue 6, pp.1489-1498, 2012.
F. Wu and L. Qu ,“Diagnosis of subharmonic faults of large rotating machinery based on EMD , ” Mechanical Systems and Signal Processing, Volume 23, Issue 2, Pages 467-475, February 2009.
Y. Wang , Z. He and Y. Zi ,“A Comparative Study on the Local Mean Decomposition and Empirical Mode Decomposition and Their Applications to Rotating Machinery Health Diagnosis , ” Transactions of the ASME , 2010.
K.S. Wang and P.S. Heyns , “Application of computed order tracking, Vold–Kalman filtering and EMD in rotating machine vibration , ” Mechanical Systems and Signal Processing, No.25, pp.416-430, 20111.
K.S. Wang and P.S. Heyns , “ The combined use of order tracking techniques for enhanced Fourier analysis of order components , ” Mechanical Systems and Signal Processing, No.25, pp.803-811, 20112.
R. Yang , D. A. Gray , B. W. Ng and M. He ,“ Comparative Analysis of Signal Processing in Brain Computer Interface , ”Industrial Electronics and Applications , Page(s):580 – 585, 2009.
Y. Zhang , L. Kang , J. Wang , J. Sun and Z. Wang ,“ Methods and Experience of Using Matlab and FPGA For Teaching Practice in Digital Signal Processing ,”Education and Management Technology (ICEMT), 2010 International Conference on , Page(s): 414 - 417, 2010.
X. Zhao , Q. Kong and Q. Guo ,“ Study of Time-Frequency Order Tracking of Vibration Signals of Rotating Machinery in Changing State , ”Information Processing (ISIP) , 2008 International Symposiums on , Page(s): 559 – 563, 2008.
李柏青, 2003 ,“遠端智能性機械狀態監測,”國立中央大學機械工程研究所碩士論文。
陳鴻瑋, 2013 , “適應性RLS階次分析於即時訊號追蹤之實現與應用,”國立中央大學機械工程研究所碩士論文。