Introduction to Intelligent Condition-Based Machinery Maintenance (CBM): Monitoring Techniques and New Business models for OEM-Based Service

Date: 06 Nov 2004 - 06 Nov 2004

Venue: Auditorium, Tower Block, SIMTech, 71 Nanyang Drive


Under industry and military manpower reduction efforts, particularly on Naval ships, old techniques of scheduled routine preventive maintenance (e.g. PMS system) take too many man-hours and are ineffective. On the other extreme, due to machine monitoring costs, in industry one often runs to failure with no preventive maintenance. New proactive techniques are needed to reduce machine downtime and maintenance costs and to increase the efficiency of use of maintenance manpower assets. Many machines today have sensors built in for control purposes that could provide the data needed for intelligent CBM and prognosis. CBM calls for new business models. The old model is for Original Equipment Manufacturers to sell machinery and then forget it. Today, OEM's stand to profit greatly from extended machinery service contracts, which also make life easier for the purchaser. For OEM-serviced maintenance, automated monitoring and condition reporting of machinery is needed. On the other hand, no company wants to take on the added maintenance costs and risk of failure of the CBM sensor network itself.

We outline the basic ideas and paradigms in CBM and Prognostic Health Management, discussing monitoring techniques, wireless sensor networks, signal processing and prediction techniques, and new business models for OEM-Based Service.


Dr. Lewis was born in Würzburg , Germany , subsequently studying in Chile and Gordonstoun School in Scotland. He obtained the Bachelor's Degree in Physics/Electrical Engineering and the Master's of Electrical Engineering Degree at Rice University in 1971. He spent six years in the U.S. Navy, serving as Navigator aboard the frigate USS Trippe (FF-1075), and Executive Officer and Acting Commanding Officer aboard USS Salinan (ATF-161). In 1977 he received the Master's of Science in Aeronautical Engineering from the University of West Florida . In 1981 he obtained the Ph.D. degree at The Georgia Institute of Technology in Atlanta , where he was employed as a professor from 1981 to 1990 and is currently an Adjunct Professor. He is a Professor of Electrical Engineering at The University of Texas at Arlington , where he was awarded the Moncrief-O'Donnell Endowed Chair in 1990 at the Automation and Robotics Research Institute.