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Published June 20, 2022 | Version v1
Preprint Open

Proactive buildings: A prescriptive maintenance approach

Description

Prescriptive maintenance has recently attracted a lot of scientific attention. It integrates the advantages of descriptive and predictive analytics to automate the process of detecting non-nominal device functionality. Implementing such proactive measures in-home or industrial settings may improve equipment dependability and minimize operational expenses. There are several techniques for prescriptive maintenance in diverse use cases, but none elaborates on a general methodology that permits successful prescriptive analysis for small size industrial or residential settings. This study reports on prescriptive analytics while assessing recent research efforts on multi-domain prescriptive maintenance. Given the existing state of the art, the main contribution of this work is to propose a broad framework for prescriptive maintenance that may be interpreted as a high-level approach for enabling proactive buildings.

Notes

This preprint has not undergone peer review (when applicable) or any post-submission improvements or corrections. The Version of Record of this contribution is published in Lecture Notes in Computer Science (LNCS), and a link to the final publication will be included when available.

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Proactive_buildings__A_prescripive_maintenance_approach.pdf

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Additional details

Funding

PRECEPT – A novel decentralized edge-enabled PREsCriptivE and ProacTive framework for increased energy efficiency and well-being in residential buildings 958284
European Commission