Repository logo
 

Distributed diagnostics, prognostics and maintenance planning: Realizing industry 4.0

Accepted version
Peer-reviewed

Type

Conference Object

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

Volume Title

53

Publisher

Elsevier BV

Rights

All rights reserved
Sponsorship
Royal Academy of Engineering London, UK (IAPP 18-19/31)