Zhenhua Wen
A review of electrostatic monitoring technology: The state of the art and future research directions
Wen, Zhenhua; Hou, Junxing; Atkin, Jason
Abstract
Electrostatic monitoring technology is a useful tool for monitoring and detecting component faults and degradation, which is necessary for system health management. It encompasses three key research areas: sensor technology; signal detection, processing and feature extraction; and verification experimentation. It has received considerable recent attention for condition monitoring due to its ability to provide warning information and non-obstructive measurements on-line. A number of papers in recent years have covered specific aspects of the technology, including sensor design optimization, sensor characteristic analysis, signal de-noising and practical applications of the technology. This paper provides a review of the recent research and of the development of electrostatic monitoring technology, with a primary emphasis on its application for the aero-engine gas path. The paper also presents a summary of some of the current applications of electrostatic monitoring technology in other industries, before concluding with a brief discussion of the current research situation and possible future challenges and research gaps in this field. The aim of this paper is to promote further research into this promising technology by increasing awareness of both the potential benefits of the technology and the current research gaps.
Citation
Wen, Z., Hou, J., & Atkin, J. (2017). A review of electrostatic monitoring technology: The state of the art and future research directions. Progress in Aerospace Sciences, 94, https://doi.org/10.1016/j.paerosci.2017.07.003
Journal Article Type | Article |
---|---|
Acceptance Date | Jul 19, 2017 |
Online Publication Date | Sep 1, 2017 |
Publication Date | Oct 1, 2017 |
Deposit Date | Nov 1, 2017 |
Publicly Available Date | Sep 2, 2018 |
Journal | Progress in Aerospace Sciences |
Print ISSN | 0376-0421 |
Electronic ISSN | 0376-0421 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 94 |
DOI | https://doi.org/10.1016/j.paerosci.2017.07.003 |
Keywords | Electrostatic monitoring technology; Prognostics and Health Management; Aero-engine; Condition monitoring; Electrostatic sensor; Electrostatic signal |
Public URL | https://nottingham-repository.worktribe.com/output/966345 |
Publisher URL | https://www.sciencedirect.com/science/article/pii/S0376042117300180 |
Contract Date | Nov 1, 2017 |
Files
WenZhenhua_R2.pdf
(185 Kb)
PDF
Copyright Statement
Copyright information regarding this work can be found at the following address: http://creativecommons.org/licenses/by-nc-nd/4.0
You might also like
A simulation scenario based mixed integer programming approach to airline reserve crew scheduling under uncertainty
(2014)
Presentation / Conference Contribution
Analysis of objectives relationships in multiobjective problems using trade-off region maps
(2015)
Presentation / Conference Contribution
Toward better build volume packing in additive manufacturing: classification of existing problems and benchmarks
(2015)
Presentation / Conference Contribution
Lessons from building an automated pre-departure sequencer for airports
(2015)
Journal Article
Downloadable Citations
About Repository@Nottingham
Administrator e-mail: discovery-access-systems@nottingham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search