Development of entropy measure for selecting highly sensitive WPT band to identify defective components of an axial piston pump
Author:
Publisher
Elsevier BV
Subject
Acoustics and Ultrasonics
Reference47 articles.
1. Noise subtraction and marginal enhanced square envelope spectrum (MESES) for the identification of bearing defects in centrifugal and axial pump;Kumar;Mech Syst Sig Process,2022
2. An adaptive deep learning model towards fault diagnosis of hydraulic piston pump using pressure signal;Tang;Eng Fail Anal,2022
3. A fault frequency bands location method based on improved fast spectral correlation to extract fault features in axial piston pump bearings;Xiao;Measurement,2021
4. Adaptive MOMEDA based on improved advance-retreat algorithm for fault features extraction of axial piston pump;Xiao;ISA Trans,2021
5. Sound quality evaluation and prediction for the emitted noise of axial piston pumps;Zhang;Appl Acoust,2019
Cited by 25 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 light deep adaptive framework toward fault diagnosis of a hydraulic piston pump;Applied Acoustics;2024-02
2. Differentiable sampling based efficient architecture search for automatic fault diagnosis;Engineering Applications of Artificial Intelligence;2024-01
3. Latest innovations in the field of condition-based maintenance of rotatory machinery: a review;Measurement Science and Technology;2023-11-30
4. Multi-feature spatial distribution alignment enhanced domain adaptive method for tool condition monitoring;Eksploatacja i Niezawodność – Maintenance and Reliability;2023-09-05
5. Intelligent Fault Diagnosis Methods for Hydraulic Piston Pumps: A Review;Journal of Marine Science and Engineering;2023-08-17
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