This two-day course presents the important technologies used in the planning and implementation of predictive maintenance activities in the power and process industries. The focus is on the information management aspect of maintenance. The course is an outgrowth of the Reliability and Maintainability Program at the University of Tennessee.
The implementation of a well‑planned predictive maintenance program enhances industrial productivity and competitiveness. Advanced information processing and reliability‑based methods are being applied to provide degradation monitoring and prognosis of plant components.
The course is designed for engineers, researchers, and management personnel who wish to develop expertise or obtain an overview of preventive/predictive maintenance technologies including machinery vibration monitoring, residual life estimation, electrical system monitoring, nondestructive testing, and others. These may be implemented to detect existing anomalies and to forecast incipient failure of plant components, thereby improving the scheduling of maintenance activities.
The course includes lectures by experts in the field, classroom and laboratory demonstrations, and discussion of special topics. Participants should have a background equivalent to a bachelor's degree in engineering, physics, or mathematics.
Thursday, August 15, 2013
Dr. Belle R. Upadhyaya is a Professor of Nuclear Engineering at the University of Tennessee, and the principal investigator of several monitoring and diagnostics related R&D projects.
Guest speaker will discuss maintenance planning, management, and evaluation.
*If taking both Course 1 and 2 consecutively, the price will be $1,495