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http://dx.doi.org/10.7469/JKSQM.2015.43.4.573

Development of Load Profile Monitoring System Based on Cloud Computing in Automotive  

Cho, Hwee (Department of Industrial Engineering, Ajou University)
Kim, Ki-Tae (Department of Industrial Engineering, Ajou University)
Jang, Yun-Hee (Department of Industrial Engineering, Ajou University)
Kim, Seung-Hwan (Department of Industrial Engineering, Ajou University)
Kim, Jun-Su (Department of Industrial Engineering, Myongji University)
Park, Keoun-Young (Department of Industrial Engineering, Myongji University)
Jang, Joong-Soon (Department of Industrial Engineering, Ajou University)
Kim, Jong-Man (Department of Industrial Engineering, Myongji University)
Publication Information
Journal of Korean Society for Quality Management / v.43, no.4, 2015 , pp. 573-588 More about this Journal
Abstract
Purpose: For improving result of estimated remaining useful life in Prognostics and Health Management (PHM), a system which is able to consider a lot of environment and load data is required. Method: A load profile monitoring system was presented based on cloud computing for gathering and processing raw data which is included environment and load data. Result: Users can access results of load profile information on the Internet. The developed system provides information which consists of distribution of load data, basic statistics, etc. Conclusion: We developed the load profile monitoring system for considering much environment and load data. This system has advantages such as improving accessibility through smart device, reducing cost, and covering various conditions.
Keywords
Prognostics and Health Management; Load Profile Monitoring; Cloud Computing; Big Data; Automotive;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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