Abstract
One of the most prominent use cases of a digitized industry is predictive maintenance. Advances in sensor and data technology enable continuous condition monitoring, thus, extending the opportunities for predictive maintenance. However, so far, most approaches stick to a simplistic paradigm viewing industrial systems as a single-component system (SCS), assuming independence or partially neglecting interdependencies between components. However, in practice, multiple components are coupled which interact with each other; thus, leading to a multi-component system (MCS) view. Implementing the MCS is challenging, but promises many advantages for predictive maintenance. We conduct a structured literature review to investigate the current state of research about MCS and how this can be transferred to data-driven predictive maintenance. We investigate the characteristics of MCS, the promises in contrast to SCS, the challenges of its implementation, and current application areas. Finally, we discuss future work on MCS in the context of predictive maintenance.
Original language | English |
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Title of host publication | Information Systems - 16th European, Mediterranean, and Middle Eastern Conference, EMCIS 2019, Proceedings |
Subtitle of host publication | EMCIS 2019 |
Editors | Marinos Themistocleous, Maria Papadaki |
Place of Publication | Cham |
Publisher | Springer |
Pages | 31-44 |
Number of pages | 14 |
ISBN (Print) | 978-3-030-44321-4 |
DOIs | |
Publication status | Published - 1 Jan 2020 |
Event | 16th European Mediterranean & Middle Eastern Conference on Information Systems - The British University in Dubai, Dubai, United Arab Emirates Duration: 9 Dec 2019 → 10 Dec 2019 http://emcis.eu/ |
Publication series
Name | Lecture Notes in Business Information Processing |
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Volume | 381 LNBIP |
ISSN (Print) | 1865-1348 |
ISSN (Electronic) | 1865-1356 |
Conference
Conference | 16th European Mediterranean & Middle Eastern Conference on Information Systems |
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Abbreviated title | EMCIS 2019 |
Country/Territory | United Arab Emirates |
City | Dubai |
Period | 9/12/19 → 10/12/19 |
Internet address |
Keywords
- Predictive Maintenance
- Multi-component systems
- RUL
- Stochastic Dependence
- Stochastic dependence
- Predictive maintenance
ASJC Scopus subject areas
- Information Systems and Management
- Information Systems
- Control and Systems Engineering
- Business and International Management
- Management Information Systems
- Modelling and Simulation