Cloud-based prognosis: perspective and challenge

Yunjie Yang, Zhaoyan Fan, Robert Gao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Comprehensive acquisition, distribution, and utilization of information about machine equipment and/or processes across spatial boundaries for improved productivity and decision have increasingly become the hallmark of advanced manufacturing. The emergence of cloud computing has created ample opportunities to achieve this goal. This paper presents a review of the state-of-the-art of prognosis technique for manufacturing and its future development motivated by the cloud infrastructure. Prevailing methods of prognosis are summarized, and their respective performance is comparatively evaluated. Basic principles and recent advances in cloud computing, as well as its application to cloud manufacturing, are introduced. Based on the survey, the concept of cloud-based prognosis is proposed, and its architecture as well as associated challenges are discussed.
Original languageEnglish
Title of host publicationASME 2014 International Manufacturing Science and Engineering Conference
Place of PublicationDetroit, Michigan, USA
Number of pages7
Publication statusPublished - Jun 2014

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