Neuro-fuzzy fatigue life assessment using the wavelet-based multifractality parameters-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Neuro-fuzzy fatigue life assessment using the wavelet-based multifractality parameters

Published:2021-01-28 Issue:2 Volume:35 Page:439-447
ISSN:1738-494X
Container-title:Journal of Mechanical Science and Technology
language:en
Short-container-title:J Mech Sci Technol

Author:

Chin C. H.,Abdullah S.,Singh S. S. K.,Ariffin A. K.,Schramm D.

Publisher

Springer Science and Business Media LLC

Subject

Mechanical Engineering,Mechanics of Materials

Link

http://link.springer.com/content/pdf/10.1007/s12206-021-0102-6.pdf

Reference29 articles.

1. H. Luo, M. Huang and Z. Zhou, Integration of multi-Gaussian fitting and LSTM neural networks for health monitoring of an automotive suspension component, J. Sound Vib., 428 (2018) 87–103.

2. Y. Zhu, Y. Wang and Y. Huang, Failure analysis of a helical compression spring for a heavy vehicle’s suspension system, Case Stud. Eng. Fail. Anal., 2(2) (2014) 169–173.

3. A. Altamura and D. Straub, Reliability assessment of high cycle fatigue under variable amplitude loading: review and solutions, Eng. Fract. Mech., 121–122 (2014) 40–66.

4. Z. R. Wu et al., Probabilistic fatigue life prediction methodology for notched components based on simple smooth fatigue tests, J. Mech. Sci. Technol., 31(1) (2017) 181–188.

5. T. E. Putra et al., Generating strain signals under consideration of road surface profiles, Mech. Syst. Signal Process., 60–61 (2015) 485–497.

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A review of the wavelet transform for durability and structural health monitoring in automotive applications;Alexandria Engineering Journal;2024-07

2. Machine learning for predicting fatigue properties of additively manufactured materials;Chinese Journal of Aeronautics;2023-11

3. Fatigue Life Modelling of Steel Suspension Coil Springs Based on Wavelet Vibration Features Using Neuro-Fuzzy Methods;Materials;2023-03-21

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3