Intelligent decision support for maintenance: an overview and future trends-Reference-Cited by-同舟云学术

Intelligent decision support for maintenance: an overview and future trends

Published:2019-10-03 Issue:10 Volume:32 Page:936-959
ISSN:0951-192X
Container-title:International Journal of Computer Integrated Manufacturing
language:en
Short-container-title:International Journal of Computer Integrated Manufacturing

Author:

Turner C. J.¹^ORCID,Emmanouilidis C.²^ORCID,Tomiyama T.²,Tiwari A.³,Roy R.⁴

Affiliation:

1. Surrey Business School, University of Surrey, Guildford, UK

2. Manufacturing Deptartment, Cranfield University, Bedford, UK

3. Department of Automatic Control and Systems Engineering, University of Sheffield, Sheffield, UK

4. School of Mathematics, Computer Science and Engineering, University of London, London, UK

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Computer Science Applications,Mechanical Engineering,Aerospace Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/0951192X.2019.1667033

Reference145 articles.

1. Abreu, R., D.Bobrow, H. Eldardiry, A. Feldman, J. Hanley, T. Honda, J. de Kleer, A. Perez, D. Archer, and D. Burke. 2015. “Diagnosing Advanced Persistent Threats: A Position Paper.” In Proceedings of the 26th International Workshop on Principles of Diagnosis (DX-2015), 193–200. Paris, France.

2. Data Mining and Machine Learning for Condition-based Maintenance

3. Smart Tags

4. Enhancing a company's profitability and competitiveness using integrated vibration-based maintenance: A case study

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