期刊名称：International Journal of Reviews in Computing
印刷版ISSN：2076-3328
电子版ISSN：2076-3336
出版年度：2012
卷号：9
页码：39-46
出版社：Little Lion Scientific Research and Developement
摘要：Industrialization shows a gradual movement from manual operation of machines and tools towards their automation. This involves lateral and hierarchical integration and networking of traditionally disjointed system units into an integral whole that requires little or no human intervention. Current trend in industrial automation requires the replacement of supervision and monitoring roles traditionally performed by humans with artificial intelligent systems. More so such system requires the intelligent detection of faults as to reduce downtime and maintenance cost. This paper study the use of hybrid intelligent system in detection of bearing faults in rotating machinery, to enable predictive maintenance and move away from the traditional breakdown or planned maintenance. This result in increase in availability and thus the productivity of the machinery or system.
