| Type of Document |
Master's Thesis |
| Author |
Arnaud, Remi Nicolas
|
| URN |
etd-08292010-080337 |
| Title |
Modeling analyses and data in human reliability |
| Degree |
Master of Science |
| Department |
Industrial and Systems Engineering |
| Advisory Committee |
| Advisor Name |
Title |
| Castanier, Bruno |
Committee Co-Chair |
| Koelling, Charles Patrick |
Committee Co-Chair |
| Nachlas, Joel A. |
Committee Member |
|
| Keywords |
- Human Factors
- Human Reliability
- EDF
- Nuclear Power Plant
|
| Date of Defense |
2010-08-26 |
| Availability |
unrestricted |
Abstract
The safety of nuclear power plants must be proved, certified and improved. Probabilistic safety
assessments are used to estimate the core meltdown risk, by means of sequential analyses of
accidents. In order to assess probabilities of the appearance of these sequences, it is necessary to
specifically assess probabilities of operation failures accomplished by human operators in a
degraded mode. For this purpose, EDF, the French producer of electricity, developed a method
that models failures of human actions, by means of a systematic determination of scenarios
corresponding to different failure modes.
This method, called MERMOS, has been used for several probabilistic safety assessments. In
order to increase its reproducibility and to make it more robust, example missions and scenarios
will be built. This set of example analyses will be used by experts assessing human reliability:
they will develop studies and deduce results more easily.
The purpose of this study involves the creation of a methodology to model existing analyses and
human reliability data used in MERMOS. This study consists of optimizing a second generation
human reliability assessment method in order to overpass its current weaknesses in an
operational context by means of the identification of a set of example analyses.
|
| Files |
| Filename |
Size |
Approximate Download Time
(Hours:Minutes:Seconds)
|
| 28.8 Modem |
56K Modem |
ISDN (64 Kb) |
ISDN (128 Kb) |
Higher-speed Access |
| |
ARNAUD_RN_T_2010.pdf |
1.12 Mb |
00:05:11 |
00:02:39 |
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