Quantum mechanics

Engineering

Reliability engineering

Aerospace engineering

Statistics

Geotechnical engineering

Bayesian network

Marine engineering

Power (physics)

Computer science

Fault (geology)

Seismology

Geology

Mechanical engineering

Wind speed

Physics

Mathematics

Submarine pipeline

Environmental science

Reliability (semiconductor)

Artificial intelligence

Turbine

Fault tree analysis

Meteorology

Offshore wind power

Failure rate

Ocean Engineering

A Bayesian Network is adopted to model and analyze the reliability of a floating offshore wind turbine. Reliability characteristics such as failure probability, failure rate, and mean time to failure of the floating offshore wind turbine are determined according to the Bayesian Network predictive analysis. In addition, critical systems, components, and reliability influencing factors of the floating offshore wind turbine are identified by the Bayesian Network diagnostic analysis. Moreover, the relationships between failure probabilities of critical reliability affecting factors and that of floating offshore wind turbine are obtained. The computed results in this paper are more conformity with statistical data for that the error of predicted failure rate of this study is 4.5%, which can be compared with that of 13% concluded by fault tree analysis.

Reliability analysis of a floating offshore wind turbine using Bayesian Networks