A Fuzzy-FMEA Risk Assessment Approach for Offshore Wind Turbines

Fateme Dinmohammadi and Mahmood Shafiee
Publication Target: 
Publication Issue: 
Special Issue Wind Turbine PHM
Submission Type: 
Full Paper
ijphm_13_013.pdf746.51 KBJuly 23, 2013 - 1:59pm

Failure Mode and Effects Analysis (FMEA) has been extensively used by wind turbine assembly manufacturers for risk and reliability analysis. However, several limitations are associated with its implementation in offshore wind
farms: (i) the failure data gathered from SCADA system is often missing or unreliable, and hence, the assessment information of the three risk factors (i.e., severity, occurrence, and fault detection) are mainly based on
experts’ knowledge; (ii) it is rather difficult for experts to precisely evaluate the risk factors; (iii) the relative importance among the risk factors is not taken into consideration, and hence, the results may not necessarily represent the true risk priorities; and etc. To overcome these drawbacks and improve the effectiveness of the traditional FMEA, we develop a fuzzy-FMEA approach for risk and failure mode analysis in offshore wind turbine systems. The information obtained from the experts is expressed using fuzzy linguistics terms, and a grey theory analysis is proposed to incorporate the relative importance of the risk
factors into the determination of risk priority of failure modes. The proposed approach is applied to an offshore wind turbine system with sixteen mechanical, electrical and auxiliary assemblies, and the results are compared with the traditional FMEA.

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Submission Keywords: 
Offshore wind turbine; Failure Modes and Effect Analysis (FMEA); Fuzzy rule base; Risk assessment; Grey theory.
Submission Topic Areas: 
Model-based methods for fault detection, diagnostics, and prognosis
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