Title :
A Framework of an Intelligent Maintenance Prognosis Tool
Author :
Asmai, Siti Azirah ; Hussin, Burairah ; Yusof, Mokhtar Mohd
Author_Institution :
Dept. of Ind. Comput., Univ. Teknikal Malaysia Melaka, Ayer Keroh, Malaysia
Abstract :
The technology of prognosis has become a significant approach but its implementation in maintenance has a major extension. The ability prognosis in the medical area has been established to estimate the future of human health. However, in maintenance, application of prognosis is not yet seen as a practical use for making better maintenance decision. To date, research in this area has been done in proposing prognosis techniques or model but leaving the implementation of prognosis as their future work. In this paper, an overview of prognosis in maintenance is presented. By using the data-driven approach, a framework for implementing of an intelligent maintenance prognosis tool is introduced. The framework utilizes the existing equipment operating performance data in the industry for prognosis process. Next, the framework combines the ability of prognosis in estimating remaining useful life (RUL) of equipment with the maintenance action knowledge to generate a well-received maintenance plan.
Keywords :
biomedical equipment; decision making; maintenance engineering; medical computing; ability prognosis; data-driven approach; decision making; equipment operating performance data; intelligent maintenance prognosis tool; maintenance action knowledge; remaining useful life; well-received maintenance plan; Communication industry; Communications technology; Computer industry; Condition monitoring; Diseases; Humans; Preventive maintenance; Production; Research and development; Temperature sensors; Condition-based Maintenance(CBM); Data-driven; Maintenance; Prognosis; Remaining useful life (RUL);
Conference_Titel :
Computer Research and Development, 2010 Second International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-0-7695-4043-6
DOI :
10.1109/ICCRD.2010.69