並列摘要
Wavelet analysis was applied in two case studies. The first case is the signal analysis of a record of propeller-induced underwater pressure. The travelling bubbles collapsing noise was separated from the low frequency signal, which is related to the blade rate, by means of wave let analysis and thereby could be studied in detail. The second case is about the separation of the acceleration due to the structural vibration from the rigid body acceleration recorded in full-scale trial of a planing boat in waves. The results from the two cases show that the wavelet analysis is an efficient tool for separating signals resulted from different mechanisms.
並列關鍵字
無資料延伸閱讀
- Chang, C. C., Chang, S. M., Huang, H. Y., & Yeh, J. Y. (2008). Application of the Wavelet Analysis to Strain Energy Damage Detection Method. 機械技師學刊, 1(1), 23-26. https://doi.org/10.6208/JPME-2008-01-04
- Praveen, A., Nikhilesh, Vijayarekha, K., Manjula, K., & Venkatraman, B. (2012). Wavelet Analysis and De-noising of Signal. Research Journal of Applied Sciences, Engineering and Technology, 4(24), 5534-5538. https://www.airitilibrary.com/Article/Detail?DocID=20407467-201212-201512090022-201512090022-5534-5538
- 黃昱喬、洪李陵（2018）。APPLICATION OF WAVELETS TO MODIFY ARTIFICIAL BASE MOTIONS。中國土木水利工程學刊，30(4)，255-261。https://doi.org/10.6652/JoCICHE.201812_30(4).0002
- 葉冠宏（2005）。Spectra Analysis Using Wavelet Theory and Non-Linear Algorithm〔碩士論文，國立臺灣大學〕。華藝線上圖書館。https://doi.org/10.6342/NTU.2005.01885
- Wang, H., Zhang, C., & Nie, X. (2017). Research on Extraction and Application of Weak Signals Based on Wavelet Transform. 電腦學刊, 28(6), 288-300. https://doi.org/10.3966/199115992017122806026