Challenges in predictive maintenance – A review
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Abstract
Predictive maintenance (PdM) aims the reduction of costs to increase the competitive strength of the enterprises. It uses sensor data together with analytics techniques to optimize the schedule of maintenance interventions. The application of such maintenance strategy requires the cooperation of several agents and involves knowledge and skills in distinct fields, since it encompasses from the averaging of relevant signals in the shop-floor to its processing, transmission, storage, and analysis in order to extract meaningful knowledge. PdM is a broad topic, making it impossible to address all its subtopics in the same paper. Having this into consideration, this paper focuses on the main challenges that hinder…
Citation impact
274
total citations
- FWCI
- 28.38
- Percentile
- 100%
- References
- 145
Citations per year
Authors
3Topics & keywords
Topics
Keywords
- Prognostics
- Anomaly detection
- Predictive maintenance
- Software deployment
- Condition-based maintenance
- Process (computing)
- Schedule
- Computer science
UN Sustainable Development Goals
- Climate action
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Funding
- UDUniversidade de Aveiro
- MDMinistério da Ciência, Tecnologia e Ensino Superior
- CFCenter for Research and Development in Mathematics and Applications
- FPFundação para a Ciência e a TecnologiaAwards: 04106, UIDP/00481/2020, UIDB/04106/2021, UIDB/00481/2020
- EREuropean Regional Development FundAwards: UIDB/00481/2020, UIDP/00481/2020