Maintenance for the Millennium: Another Approach
Abstract
Nuclear units nationwide are struggling to increase plant reliability and availability while at the same time reduce their operating and maintenance costs. Some very costly investments have been made in programs such as Reliability Centered Maintenance [RCM]. Florida Power and Light's approach at the St. Lucie Nuclear Plant has taken a slightly different approach. Building on our knowledge of the RCM process and an already existing 'World Class' Predictive Maintenance Program, a 'Condition-Based' Maintenance Program that takes advantage of the RCM philosophy and our toolbox full of advanced and highly successful predictive maintenance technologies. These tools currently consist of vibration analysis, lubricant analysis (both physical property and wear metals analysis, thermographic analysis, motor current signature analysis, tribology and process parameter trending. All employed with the intent to evaluate a machines health. This machine health check allows the forecasting of future preventative maintenance [PM's] tasks and the revision of existing PM's to maximize machine performance and eliminate 'no-value-added' maintenance activities/costs. Within the last year, the Condition-Based Maintenance Program has produced a cost saving of approximately $1.5 million dollars. As the program matures, these cost savings will accumulate well into the millennium. (authors)
- Authors:
-
- Florida Power and Light Company, Miami, FL (United States)
- Publication Date:
- Research Org.:
- The ASME Foundation, Inc., Three Park Avenue, New York, NY 10016-5990 (United States)
- OSTI Identifier:
- 21070041
- Resource Type:
- Conference
- Resource Relation:
- Conference: 10. international conference on nuclear engineering - ICONE 10, Arlington - Virginia (United States), 14-18 Apr 2002; Other Information: Country of input: France
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 42 ENGINEERING; AVAILABILITY; BUILDINGS; COST; INVESTMENT; LUBRICANTS; MAINTENANCE; METALS; NUCLEAR POWER PLANTS; PERFORMANCE; PHYSICAL PROPERTIES; RELIABILITY; VISIBLE RADIATION; WEAR
Citation Formats
Sculthorpe, Barruy R. Maintenance for the Millennium: Another Approach. United States: N. p., 2002.
Web.
Sculthorpe, Barruy R. Maintenance for the Millennium: Another Approach. United States.
Sculthorpe, Barruy R. 2002.
"Maintenance for the Millennium: Another Approach". United States.
@article{osti_21070041,
title = {Maintenance for the Millennium: Another Approach},
author = {Sculthorpe, Barruy R},
abstractNote = {Nuclear units nationwide are struggling to increase plant reliability and availability while at the same time reduce their operating and maintenance costs. Some very costly investments have been made in programs such as Reliability Centered Maintenance [RCM]. Florida Power and Light's approach at the St. Lucie Nuclear Plant has taken a slightly different approach. Building on our knowledge of the RCM process and an already existing 'World Class' Predictive Maintenance Program, a 'Condition-Based' Maintenance Program that takes advantage of the RCM philosophy and our toolbox full of advanced and highly successful predictive maintenance technologies. These tools currently consist of vibration analysis, lubricant analysis (both physical property and wear metals analysis, thermographic analysis, motor current signature analysis, tribology and process parameter trending. All employed with the intent to evaluate a machines health. This machine health check allows the forecasting of future preventative maintenance [PM's] tasks and the revision of existing PM's to maximize machine performance and eliminate 'no-value-added' maintenance activities/costs. Within the last year, the Condition-Based Maintenance Program has produced a cost saving of approximately $1.5 million dollars. As the program matures, these cost savings will accumulate well into the millennium. (authors)},
doi = {},
url = {https://www.osti.gov/biblio/21070041},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon Jul 01 00:00:00 EDT 2002},
month = {Mon Jul 01 00:00:00 EDT 2002}
}