All Outputs (394)

Reuse of a Damaged Permanent Magnet Synchronous Motor for Torque Ripple and Acoustic Noise Elimination using a Novel Repetitive Observer (2019)
Presentation / Conference Contribution
Tang, M., Odhano, S., Formentini, A., & Zanchetta, P. (2019, September). Reuse of a Damaged Permanent Magnet Synchronous Motor for Torque Ripple and Acoustic Noise Elimination using a Novel Repetitive Observer. Presented at 2019 IEEE Energy Conversion Congress and Exposition (ECCE), Baltimore, MD, USA

A permanent magnet synchronous motor (PMSM) has its bearing damaged and is irreversibly demagnetized due to overcurrent. Due to the changes in its electromagnetic configuration, the motor suffers from extremely high torque ripple, which produces into... Read More about Reuse of a Damaged Permanent Magnet Synchronous Motor for Torque Ripple and Acoustic Noise Elimination using a Novel Repetitive Observer.

Modulated Model Predictive Control for Induction Motor Drives with Sequential Cost Function Evaluation (2019)
Presentation / Conference Contribution
Vodola, V., Odhano, S., Garcia, C., Norambuena, M., Vaschetto, S., Zanchetta, P., Rodriguez, J., & Bojoi, R. (2019, September). Modulated Model Predictive Control for Induction Motor Drives with Sequential Cost Function Evaluation. Presented at 2019 IEEE Energy Conversion Congress and Exposition, ECCE 2019, Baltimore, MD, USA

Sequential model predictive control is a recent innovation in the high-performance control of electric drives. The elimination of weighting factors and associated tuning work is among the biggest advantages of this MPC implementation. The cost functi... Read More about Modulated Model Predictive Control for Induction Motor Drives with Sequential Cost Function Evaluation.

Grid Impedance Identification and Structured-h2 Optimization Based Controller Design of Active Front-end in Embedded AC Networks (2019)
Presentation / Conference Contribution
Li, K., Dewar, D., Formentini, A., Zanchetta, P., & Wheeler, P. (2019, September). Grid Impedance Identification and Structured-h2 Optimization Based Controller Design of Active Front-end in Embedded AC Networks. Presented at 2019 IEEE Energy Conversion Congress and Exposition (ECCE), Baltimore, MD, USA

The increasing use of power electronics systems and distributed generation in modern power networks has raised important issues regarding the effects that inter-connected converters systems can have on the performance and stability of the whole grid.... Read More about Grid Impedance Identification and Structured-h2 Optimization Based Controller Design of Active Front-end in Embedded AC Networks.

A Novel Virtual Space Vector Modulation Scheme for Three-Level NPC Power Converter with Neutral-Point Voltage Balancing and Common-Mode Voltage Reduction for Electric Starter/Generator System in More-Electric-Aircraft (2019)
Presentation / Conference Contribution
Guo, F., Yang, T., Bozhko, S., & Wheeler, P. (2019, September). A Novel Virtual Space Vector Modulation Scheme for Three-Level NPC Power Converter with Neutral-Point Voltage Balancing and Common-Mode Voltage Reduction for Electric Starter/Generator System in More-Electric-Aircraft. Presented at IEEE Energy Conversion Congress and Exposition (ECCE 2019), Baltimore, MD, USA

In recent years, More-Electric-Aircraft (MEA) becomes the state-of-the-art. One of the essential issue need to be solved is neutral-point (NP) voltage drift in three-level neutral-point-clamped (3L-NPC) power converter because of low power factor (PF... Read More about A Novel Virtual Space Vector Modulation Scheme for Three-Level NPC Power Converter with Neutral-Point Voltage Balancing and Common-Mode Voltage Reduction for Electric Starter/Generator System in More-Electric-Aircraft.

A Nonintrusive IGBT Open-Circuit Fault and Current Sensor Fault Diagnosis Method for Grid-Tied Three-phase Three-Wire Inverter with Two Current Sensors (2019)
Presentation / Conference Contribution
Li, Z., Wheeler, P., Watson, A., Costabeber, A., Bai, Z., Zhang, X., Zhao, B., & Ma, H. (2019, September). A Nonintrusive IGBT Open-Circuit Fault and Current Sensor Fault Diagnosis Method for Grid-Tied Three-phase Three-Wire Inverter with Two Current Sensors. Presented at 2019 IEEE Energy Conversion Congress and Exposition (ECCE), Baltimore, MD, USA

© 2019 IEEE. In some cases, only two current sensors are available in three-phase three-wire (3P3W) inverters. This occurs when one of three sensors is faulty, or the inverter is equipped with only two sensors to save cost. There has been no method a... Read More about A Nonintrusive IGBT Open-Circuit Fault and Current Sensor Fault Diagnosis Method for Grid-Tied Three-phase Three-Wire Inverter with Two Current Sensors.

A Rainbow Metamaterial For Broadband Multi-frequency Vibration Suppression (2019)
Presentation / Conference Contribution
Meng, H., Chronopoulos, D., & Fabro, A. T. (2019, June). A Rainbow Metamaterial For Broadband Multi-frequency Vibration Suppression. Presented at InterNoise 19, Madrid, Spain

In this study, we propose a rainbow metamaterial to achieve multi-frequency broadband vibration suppression. A U-shaped beam is partitioned into subspace by parallel baffle plates. Cantilever-mass microstructures are then attached to the each subspac... Read More about A Rainbow Metamaterial For Broadband Multi-frequency Vibration Suppression.

Ant Colony Optimization Algorithm for Industrial Robot Programming in a Digital Twin (2019)
Presentation / Conference Contribution
Bansal, R., Ahmadieh Khanesar, M., & Branson, D. (2019, September). Ant Colony Optimization Algorithm for Industrial Robot Programming in a Digital Twin. Presented at 2019 25th International Conference on Automation and Computing (ICAC), Lancaster, UK

Advanced manufacturing that is adaptable to constantly changing product designs often requires dynamic changes on the factory floor to enable manufacture. The integration of robotic manufacture with machine learning approaches offers the possibility... Read More about Ant Colony Optimization Algorithm for Industrial Robot Programming in a Digital Twin.

Image processing algorithm to determine an optimised 2D laser cutting trajectory (2019)
Presentation / Conference Contribution
Syam, W. P., Bansal, R., Benardos, P., Britchford, E., Hopkinson, A., Voisey, K., & Branson, D. T. (2019, September). Image processing algorithm to determine an optimised 2D laser cutting trajectory. Presented at 25th IEEE International Conference on Automation & Computing (ICAC'19), Lancaster, UK

Laser cutting processes offer high-quality and fast cutting capability across a wide variety of materials, including metals, plastics and organic tissues. To enable 2D laser cutting process, a set of (x, y) Cartesian coordinates that form a cutting t... Read More about Image processing algorithm to determine an optimised 2D laser cutting trajectory.

Probabilistic Modelling for Frequency Response Functions and Transmissibility Functions with Complex Ratio Statistics (2019)
Presentation / Conference Contribution
Zhao, M.-Y., Yan, W.-J., Ren, W.-X., & Beer, M. (2019, September). Probabilistic Modelling for Frequency Response Functions and Transmissibility Functions with Complex Ratio Statistics. Presented at ESREL 2019 29th European Safety and Reliability Conference, Hannover, Germany

The distributions of ratios of random variables arise in many applied problems such as in structural dynamics working with frequency response functions (FRFs) and transmissibility functions (TFs). When analysing the distribution properties of ratio r... Read More about Probabilistic Modelling for Frequency Response Functions and Transmissibility Functions with Complex Ratio Statistics.

Optimal Ultrasonic Sensor Configuration Based on Value of Information (2019)
Presentation / Conference Contribution
Cantero-Chinchilla, S., Chiachío, J., & Chiachío, M. (2019, September). Optimal Ultrasonic Sensor Configuration Based on Value of Information. Presented at 29th European Safety and Reliability Conference, Hannover, Germany

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.

Advanced Assembly Solutions for the Airbus RACER Joined-Wing Configuration (2019)
Presentation / Conference Contribution
Bainbridge, D., Bacharoudis, K., Cini, A., Turner, A., Popov, A., & Ratchev, S. (2019, September). Advanced Assembly Solutions for the Airbus RACER Joined-Wing Configuration. Presented at Aerotech Europe Conference, Bordeaux, France

The Rapid And Cost Effective Rotorcraft (RACER) is being developed by Airbus Helicopters (AH) to demonstrate a new Vertical TakeOff and Landing configuration to fill the mobility gap between conventional helicopters and aeroplanes. RACER is a compoun... Read More about Advanced Assembly Solutions for the Airbus RACER Joined-Wing Configuration.

Ant colony optimisation for community pharmacy dispensing process based on in-field observations (2019)
Presentation / Conference Contribution
Naybour, M., Remenyte-Prescott, R., & Boyd, M. (2019, September). Ant colony optimisation for community pharmacy dispensing process based on in-field observations. Presented at 29th European Safety and Reliability Conference (ESREL 2019), Hannover, Germany

The community pharmacy dispensing process is an integral part of delivering effective primary care to patients around the world. However, dispensing error rates and related patient safety issues are always a concern in the sector, where studies have... Read More about Ant colony optimisation for community pharmacy dispensing process based on in-field observations.

Nuclear Facilities and Cyber Threats (2019)
Presentation / Conference Contribution
Tolo, S., & Andrews, J. (2019, September). Nuclear Facilities and Cyber Threats. Presented at 29th European Safety and Reliability Conference (ESREL 2019), Hannover, Germany

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.

Aerospace Sealing Technology for Maintenance, Repair and Overhaul of Engines: a Review (2019)
Presentation / Conference Contribution
Shabbir, S., Garvey, S., & Dakka, S. M. (2019, September). Aerospace Sealing Technology for Maintenance, Repair and Overhaul of Engines: a Review. Presented at 24th Conference of the International Society for Air Breathing Engines (ISABE 2019), Canberra, Australia

Given the current rate of growth of gas turbine engines in the aerospace industry, the development of efficient and advanced sealing technology to cater to the harsh operating conditions of the aero-engines is crucial. In addition to developing low-l... Read More about Aerospace Sealing Technology for Maintenance, Repair and Overhaul of Engines: a Review.

A petri net methodology for modelling the maintenance of railway route sections (2019)
Presentation / Conference Contribution
Litherland, J., & Andrews, J. (2019, September). A petri net methodology for modelling the maintenance of railway route sections. Presented at 29th European Safety and Reliability Conference (ESREL 2019), Hannover, Germany

Railway utilization is increasing. In 2017-18 there were over 1.7 billion passenger journeys made on the UK railway network, more than double the number made in 1995. Therefore getting maximum performance from the existing network by streamlining mai... Read More about A petri net methodology for modelling the maintenance of railway route sections.

Efficient risk based optimization of large system models using a reduced petri net methodology (2019)
Presentation / Conference Contribution
Naybour, S., Andrews, J., & Chiachio-Ruano, M. (2019, September). Efficient risk based optimization of large system models using a reduced petri net methodology. Presented at 29th European Safety and Reliability Conference (ESREL 2019), Hannover, Germany

The methodology presented in this paper is a two-stage optimization approach that can be applied to large system level models, in this case using a Stochastic Petri Net (SPN) framework, to produce an equivalent model response at a reduced computation... Read More about Efficient risk based optimization of large system models using a reduced petri net methodology.

Development of an extended RAMS framework for railway networks (2019)
Presentation / Conference Contribution
Litherland, J., Calvert, G., Andrews, J., & Kirwan, A. (2019, September). Development of an extended RAMS framework for railway networks. Presented at 29th European Safety and Reliability Conference (ESREL 2019), Hannover, Germany

Railway asset managers have finite resources which requires them to make strategic decisions on where, when and how the available budget will be spent on the railway, while ensuring safety limits are maintained and a high level of performance is deli... Read More about Development of an extended RAMS framework for railway networks.

Lessons from Oz: design guidelines for automotive conversational user interfaces (2019)
Presentation / Conference Contribution
Large, D. R., Burnett, G., & Clark, L. (2019, September). Lessons from Oz: design guidelines for automotive conversational user interfaces. Presented at AutomotiveUI '19: 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, Utrecht, Netherlands

This paper draws from literature and our experience of conducting Wizard-of-Oz (WoZ) studies using natural language, conversational user interfaces (CUIs) in the automotive domain. These studies have revealed positive effects of using in-vehicle CUIs... Read More about Lessons from Oz: design guidelines for automotive conversational user interfaces.

To Please in a Pod: Employing an Anthropomorphic Agent-Interlocutor to Enhance Trust and User Experience in an Autonomous, Self-Driving Vehicle (2019)
Presentation / Conference Contribution
Large, D., Harrington, K., Burnett, G., Luton, J., Thomas, P., & Bennett, P. (2019, September). To Please in a Pod: Employing an Anthropomorphic Agent-Interlocutor to Enhance Trust and User Experience in an Autonomous, Self-Driving Vehicle. Presented at AutomotiveUI '19: 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, Utrecht, Netherlands

Recognising that one of the aims of conversation is to build, maintain and strengthen positive relationships with others, the study explores whether passengers in an autonomous vehicle display similar behaviour during transactions with an on-board co... Read More about To Please in a Pod: Employing an Anthropomorphic Agent-Interlocutor to Enhance Trust and User Experience in an Autonomous, Self-Driving Vehicle.

A Longitudinal Simulator Study to Explore Drivers’ Behaviour in Level 3 Automated Vehicles (2019)
Presentation / Conference Contribution
Large, D. R., Burnett, G., Salanitri, D., Lawson, A., & Box, E. (2019, September). A Longitudinal Simulator Study to Explore Drivers’ Behaviour in Level 3 Automated Vehicles. Presented at AutomotiveUI '19: 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, Utrecht, Netherlands

In a longitudinal study, 49 drivers undertook a commute-style journey, with part of the route supporting level-3 automation, over five consecutive days. Bespoke HMIs were provided to keep drivers in-the-loop during automation, and help them regain si... Read More about A Longitudinal Simulator Study to Explore Drivers’ Behaviour in Level 3 Automated Vehicles.