The multi-class binomial failure rate model

Reliability Engineering and System Safety

Volumn 53, Issue 1, 1996, Pages 85-90

  Hauptmanns, Ulrich ^a,b  

^a GESELLSCHAFT FÜR ANLAGEN UND REAKTORSICHERHEIT GRS MBH   (Germany)

^b OTTO VON GUERICKE UNIVERSITY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

CALCULATIONS; EVALUATION; INFORMATION SCIENCE; NUMERICAL METHODS; QUALITY CONTROL; SIMULATION;

AVAILABLE OBSERVATIONS; COMMON CAUSE FAILURE; MULTI-CLASS BINOMIAL FAILURE RATE;

FAILURE ANALYSIS;

EID: 0030195202     PISSN: 09518320     EISSN: None     Source Type: Journal    
DOI: 10.1016/0951-8320(96)00025-7     Document Type: Article

References (7)

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3. Mosleh, A., Common cause failures: an analysis methodology and examples. Reliab. Engng System Safety, 34 (1991) 249-292.
4. Vesely, W. E., Estimating common-cause failure probabilities in reliability and risk analyses: Marshall-Olkin-specializations. In Proc. Ant. Conf. Nuclear System Reliability Engineering and Risk Assessment, Gatlinburg, Tennessee, 20-24 June 1977, pp.314-341
5. Kvam, P.H. & Martz, H.F., Bayesian inference in a discrete shock model using confounded common cause data. Reliab. Engng System Safety, 46 (1995) 19-25.
6. Apostolakis, G. & Moieni, P., The foundations of models of dependence in probabilistic safety assessment. Reliab. Engng System Safety, 18 (1987) 177-195.
7. Hauptmanns, U. & Kreuser, A., Common-cause failures. GRS-A-2227, GRS, Cologne, 1995 (in German).