Evaluations of maintenance effectiveness on unavailability and risk
Description
A methodology is presented for quantifying the effectiveness of maintenance on unavailability and on risk. The methodology is based on standard Markov modeling principles. What is new is the application to quantify maintenance effectiveness by explicitly quantifying maintenance benefits as well as maintenance's negative contributions. Maintenance effects are quantified by defining a degraded state for the component in addition to an operational state and a failed state which are usually defined. The maintenance model which is developed is a natural extension of the standard models used in reliability analysis and in Probabilistic Risk Assessments (PRAs). The results which are obtained can be directly used in PRAs. Applications of the methodology are presented by quantifying maintenance effectiveness on component performance and component unavailability for specific maintenance schedules
Additional details
Publishing Information
- Publisher
- American Society of Mechanical Engineers (ASME).
- Imprint Place
- New York, NY (United States)
- ISBN
- 0-7918-0637-5
- Imprint Title
- 2nd ASME-JSME international conference on nuclear engineering -- 1993
- Imprint Pagination
- 914 p.
- Journal Page Range
- p. 309-315.
Conference
- Title
- 2. Japan Society of Mechanical Engineers (JSME)/American Society of Mechanical Engineers (ASME) joint international conference on nuclear engineering.
- Dates
- 21-24 Mar 1993.
- Place
- San Francisco, CA (United States).
INIS
- Country of Publication
- United States
- Country of Input or Organization
- United States
- INIS RN
- 25058625
- Subject category
- S21: SPECIFIC NUCLEAR REACTORS AND ASSOCIATED PLANTS; S22: GENERAL STUDIES OF NUCLEAR REACTORS;
- Resource subtype / Literary indicator
- Conference, Numerical Data
- Descriptors DEI
- AVAILABILITY; MARKOV PROCESS; NUCLEAR POWER PLANTS; PERFORMANCE; REACTOR COMPONENTS; REACTOR MAINTENANCE; RISK ASSESSMENT; THEORETICAL DATA
- Descriptors DEC
- DATA; INFORMATION; MAINTENANCE; NUCLEAR FACILITIES; NUMERICAL DATA; POWER PLANTS; STOCHASTIC PROCESSES; THERMAL POWER PLANTS
Optional Information
- Secondary number(s)
- CONF-930352--.