Conceptual framework for smart maintenance based on distributed intelligence

Terrin Pulikottil; Luis A. Estrada-Jimenez; José Barata

doi:10.1016/j.ifacol.2022.09.194

Conceptual framework for smart maintenance based on distributed intelligence

Terrin Pulikottil, Luis A. Estrada-Jimenez, José Barata

Research output: Contribution to journal › Conference article › peer-review

2 Citations (Scopus)

31 Downloads (Pure)

Abstract

An efficient maintenance strategy will provide more transparency and competitiveness for manufacturers in smart manufacturing era. Even though there have been several maintenance frameworks considering the emerging technologies, they still need to address challenges like big data storage, system resilience, multi-modality sensing, holistic approach, future-proof, generic framework and so on. To address these challenges, this paper presents a smart maintenance framework for shop-floor. First, a brief insight into key properties, performance indicators, levels and enablers of smart maintenance are described. The conceptual framework is based on distributed intelligence and has two major blocks - innate and adaptive intelligence. Tool wear monitoring is presented as a use case.

Original language	English
Pages (from-to)	121-126
Number of pages	6
Journal	IFAC-PapersOnLine
Volume	55
Issue number	19
DOIs	https://doi.org/10.1016/j.ifacol.2022.09.194
Publication status	Published - 1 Jul 2022
Event	5th IFAC Workshop on Advanced Maintenance Engineering, Services and Technologies, AMEST 2022 - Bogota, Colombia Duration: 26 Jul 2022 → 29 Jul 2022

Keywords

distributed intelligence
human immune system
Predictive maintenance
smart manufacturing
tool wear monitoring

Access to Document

10.1016/j.ifacol.2022.09.194Licence: CC BY-NC-ND

1-s2.0-S2405896322014094-mainFinal published version, 933 KBLicence: CC BY-NC-ND

Cite this

@article{c64dd922170e40b0bc2eecfe5148d9a4,

title = "Conceptual framework for smart maintenance based on distributed intelligence",

abstract = "An efficient maintenance strategy will provide more transparency and competitiveness for manufacturers in smart manufacturing era. Even though there have been several maintenance frameworks considering the emerging technologies, they still need to address challenges like big data storage, system resilience, multi-modality sensing, holistic approach, future-proof, generic framework and so on. To address these challenges, this paper presents a smart maintenance framework for shop-floor. First, a brief insight into key properties, performance indicators, levels and enablers of smart maintenance are described. The conceptual framework is based on distributed intelligence and has two major blocks - innate and adaptive intelligence. Tool wear monitoring is presented as a use case.",

keywords = "distributed intelligence, human immune system, Predictive maintenance, smart manufacturing, tool wear monitoring",

author = "Terrin Pulikottil and Estrada-Jimenez, {Luis A.} and Jos{\'e} Barata",

note = "info:eu-repo/grantAgreement/EC/H2020/814078/EU# Publisher Copyright: Copyright {\textcopyright} 2022 The Authors.; 5th IFAC Workshop on Advanced Maintenance Engineering, Services and Technologies, AMEST 2022 ; Conference date: 26-07-2022 Through 29-07-2022",

year = "2022",

month = jul,

day = "1",

doi = "10.1016/j.ifacol.2022.09.194",

language = "English",

volume = "55",

pages = "121--126",

journal = "IFAC-PapersOnLine",

issn = "2405-8963",

publisher = "Elsevier Science B.V., Inc",

number = "19",

}

TY - JOUR

T1 - Conceptual framework for smart maintenance based on distributed intelligence

AU - Pulikottil, Terrin

AU - Estrada-Jimenez, Luis A.

AU - Barata, José

PY - 2022/7/1

Y1 - 2022/7/1

N2 - An efficient maintenance strategy will provide more transparency and competitiveness for manufacturers in smart manufacturing era. Even though there have been several maintenance frameworks considering the emerging technologies, they still need to address challenges like big data storage, system resilience, multi-modality sensing, holistic approach, future-proof, generic framework and so on. To address these challenges, this paper presents a smart maintenance framework for shop-floor. First, a brief insight into key properties, performance indicators, levels and enablers of smart maintenance are described. The conceptual framework is based on distributed intelligence and has two major blocks - innate and adaptive intelligence. Tool wear monitoring is presented as a use case.

AB - An efficient maintenance strategy will provide more transparency and competitiveness for manufacturers in smart manufacturing era. Even though there have been several maintenance frameworks considering the emerging technologies, they still need to address challenges like big data storage, system resilience, multi-modality sensing, holistic approach, future-proof, generic framework and so on. To address these challenges, this paper presents a smart maintenance framework for shop-floor. First, a brief insight into key properties, performance indicators, levels and enablers of smart maintenance are described. The conceptual framework is based on distributed intelligence and has two major blocks - innate and adaptive intelligence. Tool wear monitoring is presented as a use case.

KW - distributed intelligence

KW - human immune system

KW - Predictive maintenance

KW - smart manufacturing

KW - tool wear monitoring

UR - http://www.scopus.com/inward/record.url?scp=85142303424&partnerID=8YFLogxK

U2 - 10.1016/j.ifacol.2022.09.194

DO - 10.1016/j.ifacol.2022.09.194

M3 - Conference article

AN - SCOPUS:85142303424

SN - 2405-8963

VL - 55

SP - 121

EP - 126

JO - IFAC-PapersOnLine

JF - IFAC-PapersOnLine

IS - 19

T2 - 5th IFAC Workshop on Advanced Maintenance Engineering, Services and Technologies, AMEST 2022

Y2 - 26 July 2022 through 29 July 2022

ER -

Conceptual framework for smart maintenance based on distributed intelligence

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this