A primer on predictive maintenance: Potential benefits and practical challenges-Reference-Cited by-同舟云学术

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A primer on predictive maintenance: Potential benefits and practical challenges

Published:2024-03-25 Issue:3 Volume:36 Page:638-649
ISSN:0898-2112
Container-title:Quality Engineering
language:en
Short-container-title:Quality Engineering

Author:

Hviid Hansen Henrik¹²,Kulahci Murat²³,Friis Nielsen Bo²

Affiliation:

1. Ørsted A/S, Bioenergy & Thermal Power, Copenhagen, Denmark

2. Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kongens Lyngby, Denmark

3. Department of Business Administration, Technology and Social Sciences, Luleå University of Technology, Luleå, Sweden

Funder

Ørsted

Swedish Strategic Innovation Programme ‘InfraSweden2030’

Trafikverket

Luleå Railway Research Centre

Predge AB

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/08982112.2024.2331140

Reference28 articles.

1. Explainable and Interpretable Anomaly Detection Models for Production Data

2. Explainable and Interpretable Anomaly Detection Models for Production Data

3. Boston Consulting Group. 2023. BCG-WEF project: AI-powered industrial operations. BCG Global. https://www.bcg.com/about/partner-ecosystem/world-economic-forum/ai-project-survey

4. A Review of Data-Driven Decision-Making Methods for Industry 4.0 Maintenance Applications

5. A novel fault detection and diagnosis approach based on orthogonal autoencoders

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