A quasi-online condition monitoring technique for the wind power converter

Zhang, Jun; Du, Xiong; Qian, Cheng; Tai, Heng–Ming

doi:10.1016/j.ijepes.2021.106971

Cited by 7 publications

(3 citation statements)

References 46 publications

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“…In [140], a data-driven deep learning procedure was used to develop a Long Short-Term Memory (LSTM) surrogate model. In [141], an online condition monitoring technique was presented for wind turbine converters based on a physics-based model of the thermal time constants of the cooling system.…”

Section: Power Electronic Convertermentioning

confidence: 99%

“…In [160], a literature review was presented of fault diagnosis and prognosis techniques for wind turbine systems. These techniques can be applied on the virtual replica presented here to achieve a digital twin with condition monitoring and fault diagnosis as a use case, e.g., as shown in the aforementioned references [90,141,156,157].…”

Section: Digital Twin Architecturementioning

confidence: 99%

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Digital Twins for Wind Energy Conversion Systems: A Literature Review of Potential Modelling Techniques Focused on Model Fidelity and Computational Load

et al. 2021

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The Industry 4.0 concept of a Digital Twin will bring many advantages for wind energy conversion systems, e.g., in condition monitoring, predictive maintenance and the optimisation of control or design parameters. A virtual replica is at the heart of a digital twin. To construct a virtual replica, appropriate modelling techniques must be selected for the turbine components. These models must be chosen with the intended use case of the digital twin in mind, finding a proper balance between the model fidelity and computational load. This review article presents an overview of the recent literature on modelling techniques for turbine aerodynamics, structure and drivetrain mechanics, the permanent magnet synchronous generator, the power electronic converter and the pitch and yaw systems. For each component, a balanced overview is given of models with varying model fidelity and computational load, ranging from simplified lumped parameter models to advanced numerical Finite Element Method (FEM)-based models. The results of the literature review are presented graphically to aid the reader in the model selection process. Based on this review, a high-level structure of a digital twin is proposed together with a virtual replica with a minimum computational load. The concept of a multi-level hierarchical virtual replica is presented.

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Section: Power Electronic Convertermentioning

confidence: 99%

Section: Digital Twin Architecturementioning

confidence: 99%

Digital Twins for Wind Energy Conversion Systems: A Literature Review of Potential Modelling Techniques Focused on Model Fidelity and Computational Load

et al. 2021

View full text Add to dashboard Cite

show abstract

“…The combination of data acquisition and data processing is regarded as condition monitoring, representing a precursor of any CBM. Finally, it is worth mentioning that distinct kinds of condition monitoring could be implemented, such as online condition monitoring (Wang et al, 2020), quasi-online condition monitoring (Zhang et al, 2021), and remote condition monitoring (Memala et al, 2021).…”

Section: Introductionmentioning

confidence: 99%