A physics-based model for wind turbine gearbox oil temperature estimation using SCADA data

The electricity generation from wind has seen significant growth over the past two decades with a compound annual growth rate of over 21%, and this trend is projected to continue, aligning with the goals of the European Green Deal. In the context of offshore wind turbines, operational and maintenance costs can account for up to 30% of the total...

Deep Vision-based Relative Localisation by Monocular Drones

Decentralised drone swarms need real time collision avoidance, thus requiring efficient, real time relative localisation. This paper explores different data inputs for vision based relative localisation. It introduces a novel dataset generated in <i>Blender</i>, providing ground truth optic flow and depth. Comparisons to <i>MPI Sintel</i>, an...

Feasibility Study of the Development of a Digital Twin for the Structural Health Monitoring of Marine Structures Using Big Data

Structural health monitoring of maritime and offshore structures can contribute to the reduction of the amount of uncertainty in assessment of the operational loads and the structural integrity. Such a survey can also reduce the large safety margins during the design and optimize the conservative inspection and maintenance schedules. One of the...

Modelling of Spar Cap Shear Web Assembly to Identify and Localize Damage

Wind energy is one of the cleanest methods of producing electricity. It plays a major role in the transition towards green energy. It is estimated that the installed capacity of wind energy will cover more than 6 % of total global electricity demand by the end of 2019. As the demand grows the requirement for bigger wind turbine also grows. Each...

Multi-Objective Optimisation of Variable Stiffness Cylindrical Shells: An Artificial Intelligence Approach

The structural properties of a composite laminate can be tailored by allowing the fibres to vary their orientation within the individual plies. This class of composites is termed variable stiffness and they are able to enhance the structural performance over traditional laminates by redistributing the internal load of the structure. Therefore,...

Adaptations for CNN-LSTM Network for Remaining Useful Life Prediction: Adaptable Time Window and Sub-Network Training

Estimating the RUL (Remaining Useful Life) of machinery is a useful tool for maintenance and performance operations. This results in lower costs, improved safety and operational improvements.<br/>This paper proposes two adaptations to the CNN-LSTM network provided by Li et al. \cite{Li2019APrediction}, as well as exploring reproducibility,...

Analysis Methodologies for As-Manufactured Composite Pressure Vessels

Type IV composite pressure vessels (CPVs) are used commercially for the gaseous storage of hydrogen in fuel cell electric vehicles (FCEVs). However, their economic implementation requires material optimization and a reliable prediction of the vessel strength. In this regard, their burst when loaded under internal pressure is impacted by the...

Induction welded unidirectional carbon fiber reinforced thermoplastic L-joints: Joint performance and testing methodology

Induction welding is an effective technique for joining unidirectional carbon fiber reinforced thermoplastic composites and L-joints can be produced through quick and cost-effective processing steps. However, due to high localized stresses in the skin-stiffener interface, these L-joints are often avoided in primary aircraft structures. Also, no...

Aircraft Disruption Management: Increasing Performance with Machine Learning Predictions

Airlines experience schedule disruptions on a daily basis. Poor weather conditions, unscheduled aircraft maintenance and congested air spaces are just a few of the causes that prevent airlines from operating their flight schedules as planned. In the third quarter of 2017 over 20% of all scheduled flights in Europe suffered from delays. Operation...

Fracture behavior in a modified Transverse Crack Tension test under compressive stress: A qualitative study on model parameters

An increase in apparent mode II fracture toughness in Fiber Reinforced Polymers has been found from modified Transverse Crack Tension (mTCT) tests with compressive stresses added orthogonal to the delamination plane. Numerical reproduction of these results has not yet led to a good understanding of the reasons for this behavior. Currently, an...

Quantifying Vulnerabilities in an Airport Checkpoint: A study on the role of employee behavior in the emergence of vulnerabilities

Ever since the attacks on the World Trade Center, airport security has been a topic of interest. The United States was caught by surprise and the attacks triggered a renewed interest in aviation security. It was well recognized that airport security was one step behind on intelligent attackers and this created the need to developed better risk...

Modelling Delamination in an Equivalent Single Layer Model in Explicit Finite Element Analysis

Delamination is one of the failure modes of composites prone to happen in the case of a car crash. In the early stages of car design, finite element analysis is used as a tool to analyze structural concepts. In order to model delamination in a newly developed material model, it is analyzed in two parts: detection and effects of delamination. To...

Innovative rotor design concepts for a 10 mw wind turbine: Scaling Technique, Performance and Feasibility Investigation

The reduction of the Levelised Cost of Electricity (LCoE) in wind energy, and offshore in particular, is among the main objectives of research in the academia nowadays, and a demanding task as well. Offshore wind farms are capital intensive investments and lowering uncertainties and costs throughout design, planning, installation and operational...