Distributed diagnostics, prognostics and maintenance planning: Realizing industry 4.0
Accepted version
Peer-reviewed
Repository URI
Repository DOI
Change log
Authors
Jain, AK
Chouksey, P
Parlikad, AK
Lad, BK
Abstract
In this paper, a novel distributed yet integrated approach for diagnostics and prognostics is presented. An experimental study is conducted to validate the performance. Results showed that distributed prognostics give better performance in leaser computational time. Also, the proposed approach helps in making the results of the machine learning techniques comprehensible and more accurate. These results will be handy in arriving at predictive maintenance schedule considering the criticality of the system, the dependency of the components, available maintenance resources and confidence level in the results of the prognostic.
Description
Keywords
Industry 4.0, distributed approach, diagnostic, prognostic, predictive maintenance planning.
Journal Title
IFAC-PapersOnLine
Conference Name
4th IFAC Workshop on Advanced Maintenance Engineering, Services and Technologies, Cambridge UK
Journal ISSN
2405-8963
2405-8963
2405-8963
Volume Title
53
Publisher
Elsevier BV
Publisher DOI
Rights
All rights reserved
Sponsorship
Royal Academy of Engineering London, UK (IAPP 18-19/31)