Distributed diagnostics, prognostics and maintenance planning: realizing industry 4.0

Amit Kumar Jain; Priyansha Chouksey; Ajith Kumar Parlikad; Bhupesh Kumar Lad

doi:10.1016/j.ifacol.2020.11.057

Distributed diagnostics, prognostics and maintenance planning: realizing industry 4.0

Amit Kumar Jain^*, Priyansha Chouksey, Ajith Kumar Parlikad, Bhupesh Kumar Lad

^*Corresponding author for this work

Mechanical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Citations (Scopus)

96 Downloads (Pure)

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.

Original language	English
Title of host publication	4th IFAC Workshop on Advanced Maintenance Engineering, Services and Technologies - AMEST 2020
Editors	Ajith Parlikad, Christos Emmanouilidis, Benoit Iung, Marco Macchi
Publisher	International Federation of Automatic Control (IFAC)
Pages	354-359
Number of pages	6
Volume	53
Edition	3
DOIs	https://doi.org/10.1016/j.ifacol.2020.11.057
Publication status	Published - 18 Dec 2020
Event	4th IFAC Workshop on Advanced Maintenance Engineering, Services and Technologies - Cambridge, United Kingdom Duration: 10 Sept 2020 → 11 Sept 2020 https://www.amest2020.eng.cam.ac.uk/

Publication series

Name	IFAC Proceedings Volumes (IFAC-PapersOnline)
Publisher	International Federation of Automatic Control (IFAC)
ISSN (Electronic)	2405-8963

Conference

Conference	4th IFAC Workshop on Advanced Maintenance Engineering, Services and Technologies
Abbreviated title	AMEST 2020
Country/Territory	United Kingdom
City	Cambridge
Period	10/09/20 → 11/09/20
Internet address	https://www.amest2020.eng.cam.ac.uk/

Keywords

diagnostic
distributed approach
industry 4.0
predictive maintenance planning
prognostic

ASJC Scopus subject areas

Control and Systems Engineering

Documents and Links

10.1016/j.ifacol.2020.11.057

Jain, A.M. et al (2020) Distributed diagnostics, prognostics and maintenance planning realizing industry 4.0
Copyright © 2020 The Authors. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0)
Final published version, 653 KBLicence: CC BY-NC-ND

Cite this

Jain, A. K., Chouksey, P., Parlikad, A. K., & Lad, B. K. (2020). Distributed diagnostics, prognostics and maintenance planning: realizing industry 4.0. In A. Parlikad, C. Emmanouilidis, B. Iung, & M. Macchi (Eds.), 4th IFAC Workshop on Advanced Maintenance Engineering, Services and Technologies - AMEST 2020 (3 ed., Vol. 53, pp. 354-359). (IFAC Proceedings Volumes (IFAC-PapersOnline)). International Federation of Automatic Control (IFAC). https://doi.org/10.1016/j.ifacol.2020.11.057

Jain, Amit Kumar ; Chouksey, Priyansha ; Parlikad, Ajith Kumar et al. / Distributed diagnostics, prognostics and maintenance planning: realizing industry 4.0. 4th IFAC Workshop on Advanced Maintenance Engineering, Services and Technologies - AMEST 2020. editor / Ajith Parlikad ; Christos Emmanouilidis ; Benoit Iung ; Marco Macchi. Vol. 53 3. ed. International Federation of Automatic Control (IFAC), 2020. pp. 354-359 (IFAC Proceedings Volumes (IFAC-PapersOnline)).

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title = "Distributed diagnostics, prognostics and maintenance planning: realizing industry 4.0",

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.",

keywords = "diagnostic, distributed approach, industry 4.0, predictive maintenance planning, prognostic",

author = "Jain, {Amit Kumar} and Priyansha Chouksey and Parlikad, {Ajith Kumar} and Lad, {Bhupesh Kumar}",

note = "OA article; 4th IFAC Workshop on Advanced Maintenance Engineering, Services and Technologies, AMEST 2020 ; Conference date: 10-09-2020 Through 11-09-2020",

year = "2020",

month = dec,

day = "18",

doi = "10.1016/j.ifacol.2020.11.057",

language = "English",

volume = "53",

series = "IFAC Proceedings Volumes (IFAC-PapersOnline)",

publisher = "International Federation of Automatic Control (IFAC)",

pages = "354--359",

editor = "Ajith Parlikad and Christos Emmanouilidis and Benoit Iung and Marco Macchi",

booktitle = "4th IFAC Workshop on Advanced Maintenance Engineering, Services and Technologies - AMEST 2020",

edition = "3",

url = "https://www.amest2020.eng.cam.ac.uk/",

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Jain, AK, Chouksey, P, Parlikad, AK & Lad, BK 2020, Distributed diagnostics, prognostics and maintenance planning: realizing industry 4.0. in A Parlikad, C Emmanouilidis, B Iung & M Macchi (eds), 4th IFAC Workshop on Advanced Maintenance Engineering, Services and Technologies - AMEST 2020. 3 edn, vol. 53, IFAC Proceedings Volumes (IFAC-PapersOnline), International Federation of Automatic Control (IFAC), pp. 354-359, 4th IFAC Workshop on Advanced Maintenance Engineering, Services and Technologies, Cambridge, United Kingdom, 10/09/20. https://doi.org/10.1016/j.ifacol.2020.11.057

Distributed diagnostics, prognostics and maintenance planning: realizing industry 4.0. / Jain, Amit Kumar; Chouksey, Priyansha; Parlikad, Ajith Kumar et al.
4th IFAC Workshop on Advanced Maintenance Engineering, Services and Technologies - AMEST 2020. ed. / Ajith Parlikad; Christos Emmanouilidis; Benoit Iung; Marco Macchi. Vol. 53 3. ed. International Federation of Automatic Control (IFAC), 2020. p. 354-359 (IFAC Proceedings Volumes (IFAC-PapersOnline)).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Distributed diagnostics, prognostics and maintenance planning: realizing industry 4.0

AU - Jain, Amit Kumar

AU - Chouksey, Priyansha

AU - Parlikad, Ajith Kumar

AU - Lad, Bhupesh Kumar

N1 - OA article

PY - 2020/12/18

Y1 - 2020/12/18

N2 - 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.

AB - 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.

KW - diagnostic

KW - distributed approach

KW - industry 4.0

KW - predictive maintenance planning

KW - prognostic

U2 - 10.1016/j.ifacol.2020.11.057

DO - 10.1016/j.ifacol.2020.11.057

M3 - Conference contribution

VL - 53

T3 - IFAC Proceedings Volumes (IFAC-PapersOnline)

SP - 354

EP - 359

BT - 4th IFAC Workshop on Advanced Maintenance Engineering, Services and Technologies - AMEST 2020

A2 - Parlikad, Ajith

A2 - Emmanouilidis, Christos

A2 - Iung, Benoit

A2 - Macchi, Marco

PB - International Federation of Automatic Control (IFAC)

T2 - 4th IFAC Workshop on Advanced Maintenance Engineering, Services and Technologies

Y2 - 10 September 2020 through 11 September 2020

ER -

Jain AK, Chouksey P, Parlikad AK, Lad BK. Distributed diagnostics, prognostics and maintenance planning: realizing industry 4.0. In Parlikad A, Emmanouilidis C, Iung B, Macchi M, editors, 4th IFAC Workshop on Advanced Maintenance Engineering, Services and Technologies - AMEST 2020. 3 ed. Vol. 53. International Federation of Automatic Control (IFAC). 2020. p. 354-359. (IFAC Proceedings Volumes (IFAC-PapersOnline)). doi: 10.1016/j.ifacol.2020.11.057

Distributed diagnostics, prognostics and maintenance planning: realizing industry 4.0

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Documents and Links

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