A Study on the Development of Asset Health Index Weighting Factor Selection Technology for Efficient Condition Monitoring of Large Rotating Machines-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

A Study on the Development of Asset Health Index Weighting Factor Selection Technology for Efficient Condition Monitoring of Large Rotating Machines

Published:2022-10-20 Issue:5 Volume:32 Page:464-470
ISSN:1598-2785
Container-title:Transactions of the Korean Society for Noise and Vibration Engineering
language:en
Short-container-title:KSNVE

Author:

Moon Young-Bin,Cheong Deok-Yeong,Min Tea-Hong,Choi Byeong-Kuen

Funder

Gyeongsang National University

KEPCO Research Institute

Publisher

The Korean Society for Noise and Vibration Engineering

Subject

Linguistics and Language,Anthropology,History,Language and Linguistics,Cultural Studies

Reference10 articles.

1. Asset Health Index for Improving Reliability of Large Pumps in Power Generation Facilities

2. Intelligent predictive maintenance of dynamic systems using condition monitoring and signal processing techniques — A review

3. Predictive Maintenance Using the Rotordynamic Model of a Hydraulic Turbine-Generator Rotor

4. Predicting Future Asset Condition Based on Current Health Index and Maintenance Level

5. Hjartarson, T., Khan, I. and Godfrey, M., 2004, Health Indices for Substation Asset Condition Assessment, EDIST Conference Markham.

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