Predictive maintenance primer
- NUS Corp., Gaithersburg, MD (USA)
This {ital Predictive Maintenance Primer} provides utility plant personnel with a single-source reference to predictive maintenance analysis methods and technologies used successfully by utilities and other industries. It is intended to be a ready reference to personnel considering starting, expanding or improving a predictive maintenance program. This {ital Primer} includes a discussion of various analysis methods and how they overlap and interrelate. Additionally, eighteen predictive maintenance technologies are discussed in sufficient detail for the user to evaluate the potential of each technology for specific applications. This document is designed to allow inclusion of additional technologies in the future. To gather the information necessary to create this initial Primer the Nuclear Maintenance Applications Center (NMAC) collected experience data from eighteen utilities plus other industry and government sources. NMAC also contacted equipment manufacturers for information pertaining to equipment utilization, maintenance, and technical specifications. The Primer includes a discussion of six methods used by analysts to study predictive maintenance data. These are: trend analysis; pattern recognition; correlation; test against limits or ranges; relative comparison data; and statistical process analysis. Following the analysis methods discussions are detailed descriptions for eighteen technologies analysts have found useful for predictive maintenance programs at power plants and other industrial facilities. Each technology subchapter has a description of the operating principles involved in the technology, a listing of plant equipment where the technology can be applied, and a general description of the monitoring equipment. Additionally, these descriptions include a discussion of results obtained from actual equipment users and preferred analysis techniques to be used on data obtained from the technology. 5 refs., 30 figs.
- Research Organization:
- Electric Power Research Inst., Palo Alto, CA (USA); NUS Corp., Gaithersburg, MD (USA)
- Sponsoring Organization:
- EPRI; Electric Power Research Inst., Palo Alto, CA (USA)
- OSTI ID:
- 5826635
- Report Number(s):
- EPRI-NP-7205
- Country of Publication:
- United States
- Language:
- English
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20 FOSSIL-FUELED POWER PLANTS
ELECTRIC UTILITIES
MAINTENANCE
EQUIPMENT
MONITORING
NUCLEAR POWER PLANTS
ACOUSTIC EMISSION TESTING
ACOUSTIC TESTING
DEW POINT
EDDY CURRENT TESTING
ELECTRIC CABLES
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FATIGUE
FILTRATION
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MOTORS
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ULTRASONIC TESTING
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CONDUCTOR DEVICES
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MEASURING INSTRUMENTS
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220200* - Nuclear Reactor Technology- Components & Accessories
200104 - Fossil-Fueled Power Plants- Components