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2018 | OriginalPaper | Buchkapitel

7. Condition Monitoring for Predictive Maintenance

verfasst von : Lihui Wang, Xi Vincent Wang

Erschienen in: Cloud-Based Cyber-Physical Systems in Manufacturing

Verlag: Springer International Publishing

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Abstract

Advanced manufacturing depends on the timely acquisition, distribution, and utilisation of information from machines and processes across spatial boundaries. These activities can improve accuracy and reliability in predicting resource needs and allocation, maintenance scheduling, and remaining service life of equipment. As an emerging infrastructure, cloud computing provides new opportunities to achieve the goals of advanced manufacturing. This chapter reviews the historical development of prognosis theories and techniques and projects their future growth enabled by the emerging cloud infrastructure. Techniques for cloud computing are highlighted, as well as the influence of these techniques on the paradigm of cloud-enabled prognosis for manufacturing. Finally, this chapter discusses the envisioned architecture and associated challenges of cloud-enabled prognosis for manufacturing.
Vorheriges Kapitel Adaptive Machining Using Function Blocks
Nächstes Kapitel Resource Efficiency Calculation as a Cloud Service
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Metadaten
Titel
Condition Monitoring for Predictive Maintenance
verfasst von
Lihui Wang
Xi Vincent Wang
Copyright-Jahr
2018
Buch
Cloud-Based Cyber-Physical Systems in Manufacturing

Print ISBN: 978-3-319-67692-0

Electronic ISBN: 978-3-319-67693-7

Copyright-Jahr: 2018

DOI
https://doi.org/10.1007/978-3-319-67693-7_7

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