Development of a Framework to Aid the Transition from Reactive to Proactive Maintenance Approaches to Enable Energy Reduction

Development of a Framework to Aid the Transition from Reactive to Proactive Maintenance Approaches to Enable Energy Reduction

The disparity between public datasets and real industrial datasets is limiting the practical application of advanced data analysis. Therefore, industry is stuck in a reactive mode regarding their maintenance strategy and cannot transition to cost-effective and energy-efficient proactive maintenance...

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Bibliographic Details
Main Authors: Michael Ahern, Dominic T. J. O’Sullivan, Ken Bruton
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Applied Sciences
Subjects:
data analytics
data mining
fault detection and diagnostics
industrial AI
data quality
building AFDD
Online Access:https://www.mdpi.com/2076-3417/12/13/6704

Internet

https://www.mdpi.com/2076-3417/12/13/6704

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