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ORCIDReliability Engineering & System Safety, Volume 115
Volume 115, July 2013
- N. Padmavathy
, Sanjay K. Chaturvedi:
Evaluation of mobile ad hoc network reliability using propagation-based link reliability model. 1-9 - Vasiliy V. Krivtsov, Olexandr Yevkin:
Estimation of G-renewal process parameters as an ill-posed inverse problem. 10-18 - Alexandros A. Taflanidis, Eva Loukogeorgaki, Demos C. Angelides:
Offshore wind turbine risk quantification/evaluation under extreme environmental conditions. 19-32 - Katrina M. Groth, Laura Painton Swiler:
Bridging the gap between HRA research and HRA practice: A Bayesian network version of SPAR-H. 33-42 - Solomon Brown, Joakim Beck, Haroun Mahgerefteh, Eric S. Fraga:
Global sensitivity analysis of the impact of impurities on CO2 pipeline failure. 43-54 - Pedro A. Pérez Ramírez, Ingrid Bouwer Utne:
Decision support for life extension of technical systems through virtual age modelling. 55-69 - Zequn Wang, Pingfeng Wang:
A new approach for reliability analysis with time-variant performance characteristics. 70-81 - Benoîte de Saporta, Huilong Zhang:
Predictive maintenance for the heated hold-up tank. 82-90 - Amos Necci, Giacomo Antonioni, Valerio Cozzani, Elisabeth Krausmann, Alberto Borghetti, Carlo Alberto Nucci:
A model for process equipment damage probability assessment due to lightning. 91-99 - Tim Bedford, Clare Bayley, Matthew Revie:
Screening, sensitivity, and uncertainty for the CREAM method of Human Reliability Analysis. 100-110 - Tieling Zhang, Richard Dwight:
Choosing an optimal model for failure data analysis by graphical approach. 111-123 - Prasanna Tamilselvan, Pingfeng Wang:
Failure diagnosis using deep belief learning based health state classification. 124-135 - Terje Aven:
Practical implications of the new risk perspectives. 136-145 - Diego Mandelli, Alper Yilmaz, Tunc Aldemir, Kyle Metzroth, Richard Denning:
Scenario clustering and dynamic probabilistic risk assessment. 146-160 - Dawn An, Joo Ho Choi, Nam Ho Kim:
Prognostics 101: A tutorial for particle filter-based prognostics algorithm using Matlab. 161-169
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