Fault Diagnosis and Condition Monitoring in Wave Energy Converters: A Review

Seyed Abolfazl Mortazavizadeh, Reza Yazdanpanah, David Campos Gaona () and Olimpo Anaya-Lara
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Seyed Abolfazl Mortazavizadeh: Wind Energy and Control Centre, University of Strathclyde, Glasgow G1 1XW, UK
Reza Yazdanpanah: Wind Energy and Control Centre, University of Strathclyde, Glasgow G1 1XW, UK
David Campos Gaona: Wind Energy and Control Centre, University of Strathclyde, Glasgow G1 1XW, UK
Olimpo Anaya-Lara: Wind Energy and Control Centre, University of Strathclyde, Glasgow G1 1XW, UK

Energies, 2023, vol. 16, issue 19, 1-16

Abstract: The technology used in wave energy conversion systems is still in the early stages of research and development. There are a number of challenges associated with becoming a commercially viable source of renewable energy due to the high operating and maintenance (O&M) costs. A potential solution for increasing the availability of wave energy converters (WECs) and reducing operating and maintenance costs might involve the implementation of condition monitoring and fault-tolerant control systems, because in some reported WEC systems, 57% of total operational expenses go to maintenance activities. The use of condition monitoring techniques in wind energy systems has, for instance, shown the ability to detect failures months in advance, resulting in savings of 15–20% during the operational phase. This paper reviews the methods proposed (and some used) by researchers to monitor WEC’s condition and diagnose faults. Fault-tolerant control methods developed to improve the reliability of WECs and hence their commercial viability are also reviewed and discussed. In addition, a future research plan is provided here.

Keywords: condition monitoring; fault detection; wave energy converter; review (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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