Digital twin real time monitoring method of turbine blade performance based on numerical simulation

Cao, Yu; Tang, Xiaobo; Gaidai, Oleg; Wang, Fang

doi:10.1016/j.oceaneng.2022.112347

Cited by 15 publications

(4 citation statements)

References 29 publications

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“…Additionally, real-time monitoring can enable swift emergency response upon any ship failure, including system shutdown, emergency firefighting, and timely release of lifesaving equipment, to minimize losses and prevent further damages. The ship maintenance process should also entail a thorough analysis of fault causes based on available data, remediation of defects, and reinforcement of relevant systems [72][73][74]. As depicted in Figure 5, DTT is applied throughout the entire lifecycle of the maritime industry.…”

Section: Application Status Of Dtt In Ship Inspection and Maintenancementioning

confidence: 99%

Digital Twins in the Marine Industry

Fridenfalk

2023

Electronics

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The ocean holds abundant resources, but the utilization of those resources for the marine economy presents a complex and dynamic industrial situation. Exploring sustainable development in this industry is of practical value, as it involves the rational use of marine resources while protecting the environment. This study provides an innovative review of the current application status of Digital Twins Technology (DTT) in various sectors of the marine industry, including the ship-building industry (SBI), Offshore Oil and Gas Industry, marine fishery, and marine energy industry. The findings reveal that DTT offers robust support for full life cycle management (LCM) in SBI, including digital design, intelligent processing, operation, and error management. Furthermore, this work delves into the challenges and prospects of DTT application in the marine industry, aiming to provide reference and direction for intelligent systems in the industry and guide the rational development and utilization of marine resources in the future.

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Section: Application Status Of Dtt In Ship Inspection and Maintenancementioning

confidence: 99%

Digital Twins in the Marine Industry

Fridenfalk

2023

Electronics

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“…Such a model-based approach will allow addressing the cost challenge. Specifically, utilizing a monitoring system based on digital twin technology offers a promising means of reducing costs while simultaneously optimizing turbine operation and maintenance [83,84].…”

Section: Challenges and Prospectsmentioning

confidence: 99%

Tidal Stream Turbine Biofouling Detection and Estimation: A Review-Based Roadmap

Rashid

Benbouzid

Titah-Benbouzid

et al. 2023

JMSE

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In the context of harvesting tidal stream energy, which is considered a promising source of renewable energy due to its high energy density, stability, and predictability, this paper proposes a review-based roadmap investigating the use of data-driven techniques, more specifically machine learning-based approaches, to detect and estimate the extent of biofouling in tidal stream turbines. An overview of biofouling and its impact on these turbines will be provided as well as a brief review of current methodologies and techniques for detecting and estimating biofouling. Additionally, recent developments and challenges in the field will be examined, while providing several promising prospects for biofouling detection and estimation in tidal stream turbines.

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“…Wang et al proposed a model that combines moving least squares and the Method of Fundamental Solutions (MFS), it integrates simulation outcomes and sensor data to create a surrogate model for real-time forecasting and visualization in truss structures [3] . In [4] , with the integration of finite element and experimental data, along with Kriging interpolation and machine learning optimization algorithms, a surrogate model for real-time evaluation of turbine blade hydrodynamic performance was constructed. Angjeliu et al used nonlinear finite element modeling to develop a versatile program based on surrogate modeling for assessing the current structural condition of buildings and implementing preventive maintenance [5] .…”

Section: Introductionmentioning

confidence: 99%

Real-time Finite Element Analysis based on surrogate model

Xie,

Ma,

Zhang

et al. 2024

J. Phys.: Conf. Ser.

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In the field of engineering, Finite Element Analysis (FEA) serves as a pivotal numerical simulation tool. Nevertheless, its inherent offline nature and dependency on real-time data pose limitations on its versatility. To confront this challenge, a real-time FEA approach centered on surrogate modeling has been developed. This method enables the instantaneous prediction of critical performance parameters, thereby providing crucial support for real-time decision-making and process monitoring. In the context of this study, the focus is on the glass compression molding process, a process that is not easily observable. The research commences with preliminary thermal conduction simulations conducted using ABAQUS software. Subsequently, a surrogate model is constructed to facilitate real-time FEA for the temperature field of the glass preform. Finally, Unity 3D software is harnessed for visualization, offering an effective tool for the real-time monitoring and control of the glass-forming process.

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Digital twin real time monitoring method of turbine blade performance based on numerical simulation

Cited by 15 publications

References 29 publications

Digital Twins in the Marine Industry

Digital Twins in the Marine Industry

Tidal Stream Turbine Biofouling Detection and Estimation: A Review-Based Roadmap

Real-time Finite Element Analysis based on surrogate model

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