Multi-sensor prognostics modeling for applications with highly incomplete signals-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Multi-sensor prognostics modeling for applications with highly incomplete signals

Published:2020-08-13 Issue:5 Volume:53 Page:597-613
ISSN:2472-5854
Container-title:IISE Transactions
language:en
Short-container-title:IISE Transactions

Author:

Fang Xiaolei¹,Yan Hao²^ORCID,Gebraeel Nagi³,Paynabar Kamran³

Affiliation:

1. Edward P. Fitts Department of Industrial and Systems Engineering, North Carolina State University, Raleigh, NC, USA

2. School of Computing, Informatics, & Decision Systems Engineering, Arizona State University, Tempe, AZ, USA

3. H. Milton Stewart School of Industrial & Systems Engineering, Georgia Institute of Technology, Atlanta, GA, USA

Funder

Division of Civil, Mechanical and Manufacturing Innovation

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/24725854.2020.1789779

Reference36 articles.

1. Online identification and tracking of subspaces from highly incomplete information

2. On GROUSE and incremental SVD

3. Incremental Singular Value Decomposition of Uncertain Data with Missing Values

4. Updating the singular value decomposition

5. Sensory-Based Failure Threshold Estimation for Remaining Useful Life Prediction

Cited by 13 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 hybrid physics-corrected neural network for RUL prognosis under random missing data;Expert Systems with Applications;2024-12

2. A federated data fusion-based prognostic model for applications with multi-stream incomplete signals;IISE Transactions;2024-07-03

3. A critical review on prognostics for stochastic degrading systems under big data;Fundamental Research;2024-01

4. An integrated network architecture for data repair and degradation trend prediction;Mechanical Systems and Signal Processing;2023-10

5. Structural learning of functional directed graphical models with incomplete signals;Communications in Statistics - Simulation and Computation;2023-08-02

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