Paper Info
Title
A new paradigm of cloud-based predictive maintenance for intelligent manufacturing
Abstract
Advances in cloud computing reshape the manufacturing industry into dynamically scalable, on-demand service oriented, and highly distributed cost-efficient business model. However it also poses challenges such as reliability, availability, adaptability, and safety on machines and processes across spatial boundaries. To address these challenges, this paper investigates a cloud-based paradigm of predictive maintenance based on mobile agent to enable timely information acquisition, sharing and utilization for improved accuracy and reliability in fault diagnosis, remaining service life prediction, and maintenance scheduling. In the new paradigm, a low-cost cloud sensing and computing node is firstly developed with embedded Linux operating system, mobile agent middleware, and open source numerical libraries. Information sharing and interaction is achieved by mobile agent to distribute the analysis algorithms to cloud sensing and computing node to locally process data and share analysis results. Comparing to the commonly used client---server paradigm, the mobile agent approach enhances the system flexibility and adaptability, reduces raw data transmission, and instantaneously responds to dynamic changes of operations and tasks. Finally, the presented cloud-based paradigm of predictive maintenance is validated on a motor tested system.
Year
DOI
Venue
2017
10.1007/s10845-015-1066-0
J. Intelligent Manufacturing
Keywords
Field
DocType
Cloud computing,Cloud manufacturing,Mobile agent,Predictive maintenance
Adaptability,Middleware,Cloud manufacturing,Mobile agent,Engineering,Predictive maintenance,Information sharing,Scalability,Cloud computing,Distributed computing
Journal
Volume
Issue
ISSN
28
5
0956-5515
Citations 
PageRank 
References 
18
0.82
24
Authors
4
Name
Order
Citations
PageRank
jinjiang wang1897.64
Laibin Zhang29515.52
lixiang duan3180.82
Robert X. Gao438739.94