Fatigue life analysis using wavelet-based signal decomposition

IF 0.5 4区材料科学 Q4 MATERIALS SCIENCE, MULTIDISCIPLINARY

International Journal of Materials & Product Technology Pub Date : 2021-09-10 DOI:10.1504/ijmpt.2021.10041052

Airee Afiq Abd Rahim, S. Abdullah, S. Singh, M. Z. Nuawi

引用次数: 0

Abstract

This study examines the importance of the discrete wavelet transform method for the analysis of the fatigue life of car suspension systems. Issues related to time series data include the loss of im...

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基于小波信号分解的疲劳寿命分析

本研究探讨了离散小波变换方法在汽车悬架系统疲劳寿命分析中的重要性。与时间序列数据相关的问题包括im。。。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Materials & Product Technology 工程技术-材料科学：综合

CiteScore

0.80

自引率

0.00%

发文量

审稿时长

8 months

期刊介绍： The IJMPT is a refereed and authoritative publication which provides a forum for the exchange of information and ideas between materials academics and engineers working in university research departments and research institutes, and manufacturing, marketing and process managers, designers, technologists and research and development engineers working in industry.