Study of Useful Life of Dry-Type WTSU Transformers

Etxegarai, A.; Valverde, V.; Eguia, P.; Perea, E.

doi:10.24084/repqj18.414

Cited by 2 publications

(1 citation statement)

References 5 publications

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“…For thermal degradation, Arrhenius model predicts failure acceleration by temperature increase. It is applied to study the RUL of dry-type transformers for wind turbines and aluminum electrolytic capacitors based on the temperature data [34,35]. In addition, Arrhenius model can be combined with a capacity-fade model to predict the decay of a lithium-Ion battery connected to a wind turbine.…”

Section: Physics-based Modelmentioning

confidence: 99%

A review of failure prognostics for predictive maintenance of offshore wind turbines

Zhang

Vatn

Rasheed³

2022

J. Phys.: Conf. Ser.

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Offshore wind turbines (OWTs) are important facilities for wind power generation because of their low land use and high electricity output. However, the harsh environment and remote location of offshore sites make it difficult to conduct maintenance on turbines. To upkeep OWTs cost-effectively, predictive maintenance (PdM) is an appealing strategy for offshore wind industry. The heart of PdM is failure prognostics, which aims to predict an asset’s remaining useful life (RUL) based on condition monitoring (CM). To provide references to PdM of OWTs, this paper presents a systematic review of failure prognostic models for wind turbines. In this review, data-driven models, model-based models, and hybrid models are classified and presented for model selection. The findings reveal that it is promising to develop hybrid models in the future and combine the advantages of data-driven and model-based models. Currently, the internal combinations of machine learning methods and statistical approaches in data-driven models are more common than exterior linkages between data-driven models and model-based models. The limitations and strengths of different models are discussed, and opportunities for developing hybrid models are highlighted in the conclusion.

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Section: Physics-based Modelmentioning

confidence: 99%

A review of failure prognostics for predictive maintenance of offshore wind turbines

Zhang

Vatn

Rasheed³

2022

J. Phys.: Conf. Ser.

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Searching for an Appropriate Architecture for the Development of Digital Twins for Hybrid Energy Systems in Isolated Environments Using the TRIZ Evolutionary Approach

Timofeev

2023

jour

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This work is devoted to the study of the architecture of digital twins. Of course, it is inevitable that the technology of creating digital twins, borrowed from engineering, realizing specific turnovers, such as the need for massive costly software tools and highly qualified personnel, is clearly visible in the few examples of digital dual power systems. There is a lack of unambiguously interpreted data values in standard machine-readable formats, adequate mathematical models, and instrumentation. The article proposed approaches to overcome the shortcomings in the design and operation of digital twin systems.

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Study of Useful Life of Dry-Type WTSU Transformers

Cited by 2 publications

References 5 publications

A review of failure prognostics for predictive maintenance of offshore wind turbines

A review of failure prognostics for predictive maintenance of offshore wind turbines

Searching for an Appropriate Architecture for the Development of Digital Twins for Hybrid Energy Systems in Isolated Environments Using the TRIZ Evolutionary Approach

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