Reliability theory relevant to wave and tidal devices

Reliability theory relevant to wave and tidal devices

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This paper sets out the reliability theory relevant for marine energy convertor (MEC); however, the amount of reliability data available for such devices is severely limited. The theory below is set out with this in mind so that MEC innovators, developers and operators can collect the appropriate data; see how reliability can influence their machines and based on the data make appropriate design, deployment and maintenance decisions. A 1-2 MW MEC is a complex, robotic, electro-mechanical generating machine mounted in or on a steel and concrete structure, with a steel or concrete foundation or moored to steel anchors or concrete foundations.

Chapter Contents:

  • 3.1 Introduction
  • 3.2 Background
  • 3.2.1 Terminology
  • 3.2.2 Failure mechanisms
  • 3.2.3 Reliability block diagrams (RBDs) and taxonomy
  • Series systems
  • Parallel systems
  • Device configurations and MEC taxonomy
  • 3.2.4 Root causes
  • 3.3 Theory
  • 3.3.1 Reliability functions
  • 3.3.2 Example of reliability data
  • 3.3.3 Random and continuous variables
  • 3.4 Distributions, point processes, Weibull
  • 3.4.1 Probability distribution function
  • 3.4.2 Cumulative distribution function
  • 3.4.3 Discrete Binomial function
  • 3.4.4 Discrete Poisson distribution
  • General
  • Point processes
  • Non-homogeneous Poisson process
  • Power-law process
  • Total time on test
  • 3.4.5 Continuous exponential distribution
  • 3.4.6 Continuous Weibull distribution and its use
  • 3.5 The bathtub curve
  • 3.6 Basic reliability modelling concepts for MECs
  • 3.6.1 General
  • 3.6.2 Reliability analysis, machinery versus structure versus taxonomy
  • 3.6.3 A reliability modelling concept
  • 3.7 Summary

Inspec keywords: tidal power stations; wave power generation; power generation reliability

Other keywords: reliability theory; MEC; marine energy convertor; maintenance decisions

Subjects: Tidal and flow energy; Wave power; Tidal power stations and plants; Reliability

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