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Success likelihood index method
Success Likelihood Index Method (SLIM) is a technique used in the field of Human reliability Assessment (HRA), for the purposes of evaluating the…
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Related topics
2 relations
Absolute probability judgement
Human reliability
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2017
2017
Power Means in Success Likelihood Index Method
E. Torres-Manzanera
,
S. Montes
,
Irene Díaz
,
Lucía Zapico
,
B. Gil
EUSFLAT/IWIFSGN
2017
Corpus ID: 32025267
The Successive Likelihood Index Method establishes the degree of liability, and therefore the corresponding compensation, of the…
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2016
2016
Developing a Risk-Based Approach for Optimizing Human Reliability Assessment in an Offshore Operation
A. Bahootoroody
,
M. M. Abaiee
,
R. Gholamnia
,
Mohammad Bahoo Torody
,
Nastaran Hekmat Nejad
2016
Corpus ID: 56230458
Human error plays a pivotal rule in all aspects of engineering activities such as operation, maintenance, design, inspection and…
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2014
2014
Quantification of human error probability in power system based on SLIM
Y. Bao
,
Junxi Tang
,
+4 authors
Jingliang Cao
IEEE PES Asia-Pacific Power and Energy…
2014
Corpus ID: 1247374
Power system is a complex system which involves a lot of personnel operations and human factors might affect the stability of the…
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2013
2013
A SLIM based methodology for human reliability analysis of lifting operations
Junxiang Tu
,
Yuzhou Lou
International Conference on Mechatronic Science…
2013
Corpus ID: 18413245
Investigations have shown that human error (HE) is the most common cause of accidents involving lifting operations. So it is…
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2013
2013
Human factor risk assessment of a maintenance operation in offshore process system
Alireza Noroozi
2013
Corpus ID: 110243356
It is known that "human error" is the primary cause of the majority of incidents occurring in process activities. Such incidents…
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2009
2009
Uncertainty Analysis of Large Risk Assessment Models with Applications to the Railway Safety and Standards Board Safety Risk Model
Daosheng Cheng
2009
Corpus ID: 110630324
Probabilistic risk analysis aims to assess the safety risk of a system so that actions can then be taken to improve safety…
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