All Outputs (36)

Alzheimer's Disease (AD) Detect & Prevent -presymptomatic AD detection and prevention (2019)
Conference Proceeding

Alzheimer's disease (AD) is a major cause of the rapidly growing and crushing aging challenge that threatens to economically undermine today's healthcare system. AD prevalence will grow to over 100 million cases in 2050. AD is incurable but can be pr... Read More about Alzheimer's Disease (AD) Detect & Prevent -presymptomatic AD detection and prevention.

Sensitivity Analysis of Machine Components Thermal Properties Effects on Winding Temperature (2019)
Conference Proceeding

This paper investigates the sensitivity analysis of winding temperature to key parameters in electrical machine thermal design. With a validated 3D thermal model based on an existing 75kW traction machine for an electric vehicle, the methodology of t... Read More about Sensitivity Analysis of Machine Components Thermal Properties Effects on Winding Temperature.

Intelligent systems for optical form measurement: automated assessment of pose and coverage (2019)
Conference Proceeding

Surrogate Thermal Model for Power Electronic Modules using Artificial Neural Network (2019)
Conference Proceeding

Virtual prototyping of power electronic modules aims to allow rapid evaluation of potential designs without building and testing physical prototypes. Among the interests in thermal models of the virtual modules, process of compact thermal models need... Read More about Surrogate Thermal Model for Power Electronic Modules using Artificial Neural Network.

An Intelligent Toolkit for Benchmarking Data-Driven Aerospace Prognostics (2019)
Conference Proceeding

© 2019 IEEE. Machine Learning (ML) has been largely employed to sensor data for predicting the Remaining Useful Life (RUL) of aircraft components with promising results. A review of the literature, however, has revealed a lack of consensus regarding... Read More about An Intelligent Toolkit for Benchmarking Data-Driven Aerospace Prognostics.

Clinical Scene Segmentation with Tiny Datasets (2019)
Conference Proceeding

Many clinical procedures could benefit from automatic scene segmentation and subsequent action recognition. Using Convolutional Neural Networks to semantically segment meaningful parts of an image or video is still an unsolved problem. This becomes e... Read More about Clinical Scene Segmentation with Tiny Datasets.

Refined assessment and comparison of airtightness measurement of an indoor chamber using the blower door and Pulse methods (2019)
Conference Proceeding

Previous studies have compared the airtightness measurement of test enclosures utilising both the novel Pulse technique and the conventional blower door method. Discrepancies between results of the two test methods were observed and it was concluded... Read More about Refined assessment and comparison of airtightness measurement of an indoor chamber using the blower door and Pulse methods.

Wave scattering in coupled composite plates (2019)
Conference Proceeding

Establishing the wave propagation characteristics at plate junctions is of great importance in the prediction of vibrational energy transmission across complex structures. A hybrid approach combining the finite element (FE) and the wave finite elemen... Read More about Wave scattering in coupled composite plates.

Optimal Ultrasonic Sensor Configuration Based on Value of Information (2019)
Conference Proceeding

Optimal sensor configuration has been proven to be essential in the design of structural health monitoring systems. Its impact in maintenance-related actions in an economic and safety-related way has motivated many authors to investigate this complex... Read More about Optimal Ultrasonic Sensor Configuration Based on Value of Information.

Nuclear Facilities and Cyber Threats (2019)
Conference Proceeding

The exponential growth of digital technologies experienced in the last decades has shaped contemporary societies so thoroughly to earn the definition of digital revolution or third industrial revolution. Along with the penetration rate of digital tec... Read More about Nuclear Facilities and Cyber Threats.

Automated characterisation of multi-view fringe projection system for three- dimensional measurement of additively manufactured parts (2019)
Conference Proceeding

Digital fringe projection is a non-contact method that is widely used for the dimensional characterisation of complex manufactured parts. However, single camera-projector fringe projection systems struggle to acquire the full three-dimensional point... Read More about Automated characterisation of multi-view fringe projection system for three- dimensional measurement of additively manufactured parts.

Metaheuristic optimisation of sound absorption performance of multilayered porous materials (2019)
Conference Proceeding

The optimization of multilayered-sound-packaging is a challenging task which involves searching the best/op-timal settings for a number of acoustic parameters. The search space size becomes too large to handle by brute force, as the number of those p... Read More about Metaheuristic optimisation of sound absorption performance of multilayered porous materials.

Optimal Ultrasonic Sensor Configuration for Plate-Like Structures Using the Value of Information (2019)
Conference Proceeding

Condition-based maintenance is based on reliable and effective structural health monitoring systems able to provide accurate information about the health condition of a structure. Among the factors that influence the accuracy and reliability of such... Read More about Optimal Ultrasonic Sensor Configuration for Plate-Like Structures Using the Value of Information.

Ultrasonic Guided-Wave Based System Identification for Beams (2019)
Conference Proceeding

© 2019 by DEStech Publications, Inc. All rights reserved. Structural health monitoring (SHM) usually requires several stages of information, starting from damage detection, localisation, and identification. Ultrasonic guided waves can travel long dis... Read More about Ultrasonic Guided-Wave Based System Identification for Beams.

Repetitive Observer Design for Torque Ripple Reduction in PMSM Drives (2019)
Conference Proceeding

Towards Optimal Design of Rainbow Metamaterials (2019)
Conference Proceeding

Nonperiodic metamaterials can have better vibration attenuation than periodic metamaterials with properly designed resonator distributions. In this study, we propose optimal design routes for rainbow metamaterials. The rainbow metamaterials are nonpe... Read More about Towards Optimal Design of Rainbow Metamaterials.

Modelling Fringe Projection Based on Linear Systems Theory and Geometric Transformation (2019)
Conference Proceeding

Fringe projection measurement techniques offer fast, non-contact measurements of the surface form of manufactured parts at relatively low cost. Recent advances in fringe projection have reduced measurement errors from effects such as multiple surface... Read More about Modelling Fringe Projection Based on Linear Systems Theory and Geometric Transformation.

Modelling and Analysis of an Aircraft On-board Electric Taxiing System (2019)
Conference Proceeding

This paper presents a model that enables analysis and design validation of an aircraft on-board electric taxiing system. A detailed model, which includes power electronics, electrical machine and mechanical drivetrain, is first developed and discusse... Read More about Modelling and Analysis of an Aircraft On-board Electric Taxiing System.

Simplified Lumped Parameter Thermal Network for Short-Duty Dual Three-Phase Permanent Magnet Machines (2019)
Conference Proceeding

© 2019 IEEE. Electrical machines are progressively being employed in an ever-increasing number of safety-critical applications (e.g. aerospace and automotive), which demand high performance as well as reliability features. The modular structure and t... Read More about Simplified Lumped Parameter Thermal Network for Short-Duty Dual Three-Phase Permanent Magnet Machines.

Insulation Capacitance as Diagnostic Marker for Thermally Aged, Low Voltage Electrical Machines (2019)
Conference Proceeding

© 2019 IEEE. Thermal aging is considered as the principal insulation stress factor in low voltage electrical machines (EMs). Once the insulation reaches its end-of-life, a complete EM out of service can be caused within few operating cycles/hours. In... Read More about Insulation Capacitance as Diagnostic Marker for Thermally Aged, Low Voltage Electrical Machines.