Journal
AUTOMATIKA
Volume 61, Issue 4, Pages 537-553Publisher
KOREMA
DOI: 10.1080/00051144.2020.1794192
Keywords
Condition-based maintenance; predictive maintenance; virtual sensors; use cases; demonstrators; pilots
Funding
- FCT/MEC (Portuguese Foundation for Science and Technology)
- Slovenian Research Agency [P2-0098]
- Finnish Funding Agency for Innovation Tekes
- ERDF (European Regional Development Fund) under the PT2020 Partnership, within the CISTER ResearchUnit [PCEC/04234]
- EU ECSEL JU under the H2020 Framework Programme, within JU grant [ECSEL/0004/2014, 662189]
- EU ECSEL JU under the H2020 Framework Programme, JU grant [737459]
- Fundação para a Ciência e a Tecnologia [UID/CEC/04234/2013] Funding Source: FCT
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Collecting complex information on the status of machinery is the enabler for advanced maintenance activities, and one of the main players in this process is the sensor. This paper describes modern maintenance strategies that lead to Condition-Based Maintenance. This paper discusses the sensors that can be used to support maintenance, as of different categories, spanning from common off-the-shelf sensors, to specialized sensors monitoring very specific characteristics, and to virtual sensors. This paper also presents four different real-world examples of project pilots that make use of the described sensors and draws a comparison between them. In particular, each scenario has unique characteristics requiring different families of sensors, but on the other hand provides similar characteristics on other aspects.
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