Digitalisation of Maintenance

Erkki Jantunen, Jaime Campos, Pankaj Sharma, David Baglee

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

Abstract

The digitalisation of industry and the Industry 4.0 concept with its connected ICTs are important developments for the industry to acquire and implement to be able to keep ahead in competition. In connection to Industry 4.0, the predictive maintenance systems and approach are getting more popular in maintenance. This is because these systems enable a change in the maintenance mind-set where the break-fix mentality is substituted by a predictive maintenance system, such as Condition Based Maintenance (CBM), where the equipment is monitored with the support of ICTs to detect failures before they occur. The Industry 4.0 seems more attainable even for small and medium sized companies because of the drop in the prices of the components of these systems, both in the sensing elements and in the data processing part. The manufacturing methods used in the Integrated Circuit (IC) industry create the possibility to reduce significantly the price tag of sensors and processors. Therefore, the authors go through the CBM approach and technologies, such as Microelectromechanical System (MEMS) sensors as well as such emerging ICTs as the Cloud and Big data. These could offer a turning point in traditional maintenance by widening the amount of monitored assets, allowing multiple parameters to be measured and analysed and enabling wireless and immediate data access across the globe.
Original languageEnglish
Title of host publication2017 2nd International Conference on System Reliability and Safety, ICSRS 2017
PublisherInstitute of Electrical and Electronic Engineers IEEE
Pages343-347
Number of pages5
ISBN (Electronic)978-1-5386-3322-9
ISBN (Print)978-1-5386-3323-6
DOIs
Publication statusPublished - 29 Jan 2018
MoE publication typeA4 Article in a conference publication
Event2nd International Conference on System Reliability and Safety, ICSRS 2017 - Milan, Italy
Duration: 20 Dec 201722 Dec 2017
Conference number: 2

Conference

Conference2nd International Conference on System Reliability and Safety, ICSRS 2017
Abbreviated titleICSRS 2017
CountryItaly
CityMilan
Period20/12/1722/12/17

Fingerprint

Maintenance
Industry
Condition-based Maintenance
Sensor
Globe
Turning Point
Integrated Circuits
Micro-electro-mechanical Systems
Sensors
Sensing
MEMS
Manufacturing
Integrated circuits

Keywords

  • CBM
  • microelectronical System (MEMS) Sensors
  • Internet of Things (IoT)
  • cloud computing, big data analytics
  • big data analytics
  • cloud computing

Cite this

Jantunen, E., Campos, J., Sharma, P., & Baglee, D. (2018). Digitalisation of Maintenance. In 2017 2nd International Conference on System Reliability and Safety, ICSRS 2017 (pp. 343-347). Institute of Electrical and Electronic Engineers IEEE. https://doi.org/10.1109/ICSRS.2017.8272846
Jantunen, Erkki ; Campos, Jaime ; Sharma, Pankaj ; Baglee, David. / Digitalisation of Maintenance. 2017 2nd International Conference on System Reliability and Safety, ICSRS 2017. Institute of Electrical and Electronic Engineers IEEE, 2018. pp. 343-347
@inproceedings{4ccc65508d9641afb736673040968128,
title = "Digitalisation of Maintenance",
abstract = "The digitalisation of industry and the Industry 4.0 concept with its connected ICTs are important developments for the industry to acquire and implement to be able to keep ahead in competition. In connection to Industry 4.0, the predictive maintenance systems and approach are getting more popular in maintenance. This is because these systems enable a change in the maintenance mind-set where the break-fix mentality is substituted by a predictive maintenance system, such as Condition Based Maintenance (CBM), where the equipment is monitored with the support of ICTs to detect failures before they occur. The Industry 4.0 seems more attainable even for small and medium sized companies because of the drop in the prices of the components of these systems, both in the sensing elements and in the data processing part. The manufacturing methods used in the Integrated Circuit (IC) industry create the possibility to reduce significantly the price tag of sensors and processors. Therefore, the authors go through the CBM approach and technologies, such as Microelectromechanical System (MEMS) sensors as well as such emerging ICTs as the Cloud and Big data. These could offer a turning point in traditional maintenance by widening the amount of monitored assets, allowing multiple parameters to be measured and analysed and enabling wireless and immediate data access across the globe.",
keywords = "CBM, microelectronical System (MEMS) Sensors, Internet of Things (IoT), cloud computing, big data analytics, big data analytics, cloud computing",
author = "Erkki Jantunen and Jaime Campos and Pankaj Sharma and David Baglee",
note = "SDA: SHP: Pro-Io-T Project: 102473",
year = "2018",
month = "1",
day = "29",
doi = "10.1109/ICSRS.2017.8272846",
language = "English",
isbn = "978-1-5386-3323-6",
pages = "343--347",
booktitle = "2017 2nd International Conference on System Reliability and Safety, ICSRS 2017",
publisher = "Institute of Electrical and Electronic Engineers IEEE",
address = "United States",

}

Jantunen, E, Campos, J, Sharma, P & Baglee, D 2018, Digitalisation of Maintenance. in 2017 2nd International Conference on System Reliability and Safety, ICSRS 2017. Institute of Electrical and Electronic Engineers IEEE, pp. 343-347, 2nd International Conference on System Reliability and Safety, ICSRS 2017, Milan, Italy, 20/12/17. https://doi.org/10.1109/ICSRS.2017.8272846

Digitalisation of Maintenance. / Jantunen, Erkki; Campos, Jaime; Sharma, Pankaj; Baglee, David.

2017 2nd International Conference on System Reliability and Safety, ICSRS 2017. Institute of Electrical and Electronic Engineers IEEE, 2018. p. 343-347.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

TY - GEN

T1 - Digitalisation of Maintenance

AU - Jantunen, Erkki

AU - Campos, Jaime

AU - Sharma, Pankaj

AU - Baglee, David

N1 - SDA: SHP: Pro-Io-T Project: 102473

PY - 2018/1/29

Y1 - 2018/1/29

N2 - The digitalisation of industry and the Industry 4.0 concept with its connected ICTs are important developments for the industry to acquire and implement to be able to keep ahead in competition. In connection to Industry 4.0, the predictive maintenance systems and approach are getting more popular in maintenance. This is because these systems enable a change in the maintenance mind-set where the break-fix mentality is substituted by a predictive maintenance system, such as Condition Based Maintenance (CBM), where the equipment is monitored with the support of ICTs to detect failures before they occur. The Industry 4.0 seems more attainable even for small and medium sized companies because of the drop in the prices of the components of these systems, both in the sensing elements and in the data processing part. The manufacturing methods used in the Integrated Circuit (IC) industry create the possibility to reduce significantly the price tag of sensors and processors. Therefore, the authors go through the CBM approach and technologies, such as Microelectromechanical System (MEMS) sensors as well as such emerging ICTs as the Cloud and Big data. These could offer a turning point in traditional maintenance by widening the amount of monitored assets, allowing multiple parameters to be measured and analysed and enabling wireless and immediate data access across the globe.

AB - The digitalisation of industry and the Industry 4.0 concept with its connected ICTs are important developments for the industry to acquire and implement to be able to keep ahead in competition. In connection to Industry 4.0, the predictive maintenance systems and approach are getting more popular in maintenance. This is because these systems enable a change in the maintenance mind-set where the break-fix mentality is substituted by a predictive maintenance system, such as Condition Based Maintenance (CBM), where the equipment is monitored with the support of ICTs to detect failures before they occur. The Industry 4.0 seems more attainable even for small and medium sized companies because of the drop in the prices of the components of these systems, both in the sensing elements and in the data processing part. The manufacturing methods used in the Integrated Circuit (IC) industry create the possibility to reduce significantly the price tag of sensors and processors. Therefore, the authors go through the CBM approach and technologies, such as Microelectromechanical System (MEMS) sensors as well as such emerging ICTs as the Cloud and Big data. These could offer a turning point in traditional maintenance by widening the amount of monitored assets, allowing multiple parameters to be measured and analysed and enabling wireless and immediate data access across the globe.

KW - CBM

KW - microelectronical System (MEMS) Sensors

KW - Internet of Things (IoT)

KW - cloud computing, big data analytics

KW - big data analytics

KW - cloud computing

UR - http://www.scopus.com/inward/record.url?scp=85046682544&partnerID=8YFLogxK

U2 - 10.1109/ICSRS.2017.8272846

DO - 10.1109/ICSRS.2017.8272846

M3 - Conference article in proceedings

SN - 978-1-5386-3323-6

SP - 343

EP - 347

BT - 2017 2nd International Conference on System Reliability and Safety, ICSRS 2017

PB - Institute of Electrical and Electronic Engineers IEEE

ER -

Jantunen E, Campos J, Sharma P, Baglee D. Digitalisation of Maintenance. In 2017 2nd International Conference on System Reliability and Safety, ICSRS 2017. Institute of Electrical and Electronic Engineers IEEE. 2018. p. 343-347 https://doi.org/10.1109/ICSRS.2017.8272846