A5032234894- Geophysical Methods and Applications
- Ultrasonics and Acoustic Wave Propagation
- Structural Health Monitoring Techniques
- Non-Destructive Testing Techniques
- Systems Engineering Methodologies and Applications
- Digital Transformation in Industry
- Human-Automation Interaction and Safety
- Anomaly Detection Techniques and Applications
- Underwater Vehicles and Communication Systems
- Advanced SAR Imaging Techniques
- Robotics and Automated Systems
- Risk and Safety Analysis
- Machine Fault Diagnosis Techniques
- Ocean Waves and Remote Sensing
- Fault Detection and Control Systems
- Technology Assessment and Management
- Radar Systems and Signal Processing
- Electrical Fault Detection and Protection
- Thermography and Photoacoustic Techniques
- Blockchain Technology Applications and Security
- Advanced Image and Video Retrieval Techniques
- Tensor decomposition and applications
- Underwater Acoustics Research
- Artificial Immune Systems Applications
- Fetal and Pediatric Neurological Disorders
University of Glasgow
2022-2025
Heriot-Watt University
2020-2024
SMART Group (United Kingdom)
2021
Sensors (United States)
2020
DEVCOM Army Research Laboratory
2011
St. John's University
1991
St. John's Hospital
1990
The UK has set plans to increase offshore wind capacity from 22GW 154GW by 2030. With such tremendous growth, the sector is now looking Robotics and Artificial Intelligence (RAI) in order tackle lifecycle service barriers as support sustainable profitable energy production. Today, RAI applications are predominately being used short term objectives operation maintenance. However, moving forward, potential play a critical role throughout full of infrastructure, surveying, planning, design,...
To reduce Operation and Maintenance (O&M) expenditure on offshore wind farms, wherein 80% of the cost relates to deploying personnel, sector looks advances in Robotics Artificial Intelligence (RAI) for solutions. Barriers residential Beyond Visual Line Sight (BVLOS) autonomy as a service, include operational challenges run-time safety compliance, reliability resilience, due complexities dealing with known unknown risk dynamic environments. In this paper we incorporate Symbiotic System Of...
The paper describes the waveform analysis for an experimental long-range highfrequency radar system with a design capability over-the-horizon detection of ocean surface targets up to 400 km from shore range resolution m. Motivated by need maximise transmitter duty cycle in order detect targets, is based on frequency modulated interrupted continuous wave (FMICW) type waveform. interrupt sequence, which necessary high power monostatic operation, complicates performance terms ambiguity function...
Abstract Nuclear facilities have a regulatory requirement to measure radiation levels within Post Operational Clean Out (POCO) around nuclear each year, resulting in trend towards robotic deployments gain an improved understanding during decommissioning phases. The UK Decommissioning Authority supports the view that human‐in‐the‐loop (HITL) are solution improve procedures and reduce risks characterisation of sites. authors present novel implementation Cyber‐Physical System (CPS) deployed...
Since 2015, there has been an increase in articles on anomaly detection robotic systems, reflecting its growing importance improving the robustness and reliability of increasingly utilized autonomous robots. This review paper investigates literature anomalies Autonomous Robotic Missions (ARMs). It reveals different perspectives juxtaposition to fault detection. To reach a consensus, we infer unified understanding that encapsulate their various characteristics observed ARMs propose...
Abstract The nuclear energy sector can benefit from mobile robots for remote inspection and handling, reducing human exposure to radiation. Advances in cyber–physical systems have improved robotic platforms this through digital twin (DT) technology. DTs enhance situational awareness robot operators, crucial safety the sector, their value is anticipated increase with growing complexity of systems. primary motivation work rapidly develop evaluate a fleet interface that accounts these benefits...
Subsea power cables are critical assets for electrical transmission and distribution networks, highly relevant to regional, national, international energy security decarbonization given the growth in offshore renewable generation. Existing condition monitoring techniques restricted constrained online systems that only prioritize internal failure modes, representing 30% of cable mechanisms, has limited capacity provide precursor indicators such failures or damages. To overcome these...
Digitalization is influencing the design, operation and management, as well planning functions for products services across a myriad of industries. In our research we focus on specific needs challenges in asset management remote critical infrastructure. We propose single Digital Twin framework which can synchronize data communication protocols multiple devices to support exchanging between physical world cyber under any scenario, anywhere at time. Our synchronization 1000 different sensors...
Global growth in onshore and offshore wind energy has created a forecasted 11.5% Compound Annual Growth Rate (CAGR) increase Wind Turbine (WT) blades throughout 2020-2025. The ability to verify blade condition the asset lifecycle is integral economic reliable renewable supplies. Currently, commercial inspection of deployed turbine predominately performed by rope access personnel using visual infrared cameras. In this paper we present results Frequency Modulated Continuous Wave (FMCW) radar...
Wind turbine blades (WTBs) are critical sub-systems consisting of composite multi-layer material structures. WTB inspection is a complex and labour intensive process, failure it can lead to substantial energy economic losses asset owners. In this paper, we proposed novel non-destructive evaluation method for blade materials, which employs Frequency Modulated Continuous Wave (FMCW) radar, robotics machine learning (ML) analytics. We show that using FMCW raster scan data, our ML algorithms...
The occurrence of manufacturing defects in wind turbine blade (WTB) production can result significant increases operation and maintenance costs WTBs, reduce capacity factors farms, occasionally lead to severe disastrous consequences. Therefore, inspection during the process is crucial ensure consistent fabrication composite materials. Non-contact sensing techniques, such as Frequency Modulated Continuous Wave (FMCW) radar, are becoming increasingly popular they offer a full view – cross...
Abstract In this paper, the results and methodology of a framework to enable run-time safety compliance self-certification robotics is presented. This transferable verified within practical demonstration scenario, based on asset inspection confined space, representing Beyond Visual Line Sight (BVLOS) use case. The computationally efficient analysis support run-time, front-end, data adaptive decision-making. Utilizing Husky A200 platform, manufactured by Clearpath, front-end datasets mission...
Critical infrastructure is a dense network of systems that provide vital services such as energy, transport and water. Continuous cycles monitoring repair are to the economic development functions community. Current detection methods subsurface fault precursors in civil insufficient for defect detection. In this paper we present analysis complex multi-layer structures with radar, Frequency Modulated Wave (FMCW) sensing. Results have demonstrated ability K-band detect embedded obscured...
Wind Turbines are vital contributors to powering the world with renewable energy. As wind energy sector grows, reliability and resilience of turbine systems becomes increasingly important. One most important components, blades, typically inspected visual analysis. This is insufficient for providing detailed, consistent, readily accessible surface sub-surface analysis Structural Health Monitoring (SHM). In this paper we present a novel method Non-Destructive Evaluation (NDE) blades by...
Army analysts have developed an integrated technique for optimum system design early in the development cycle called Human Availability Technique (HAT). HAT combines a systems engineering technique, System Capabilities Analysis Process (SCAP) with Factors Engineering Cognitive Building Block (CBB) Approach. Analysts implement by creating human performance models that include both common Soldier functions from CBB and capabilities SCAP. To demonstrate benefits of this approach complex system,...
Safety management of winter roads is dependent on targeted distributions salt. Insufficient salt dispersal results in dangerous driving conditions, while excessive deposition adverse environmental effects and wastes valuable resources. In this paper we present the Frequency Modulated Continuous Wave radar (FMCW) analysis for real-time detection road surfaces. Experiments are conducted within laboratory conditions field trials, with FMCW sensor installed onto a commercial gritter. Performed...
Robotic platforms are highly programmable, scalable and versatile to complete several tasks including Inspection, Maintenance Repair (IMR). Mobile robotics offer reduced restrictions in operating environments, resulting greater flexibility; operation at height, dangerous areas repetitive tasks. Cyber Physical Systems (CPS) allow for artificial intelligence adapt repurpose pace, allowing the addressment of new challenges CPS. A challenge exists within secure an effective partnership a wide...
Mapping structural brain connectomes for living human brains typically requires expert analysis and rule-based models on diffusion-weighted magnetic resonance imaging. A data-driven approach, however, could overcome limitations in such approaches improve precision mappings individuals. In this work, we explore a framework that facilitates applying learning algorithms to automatically extract connectomes. Using tensor encoding, design an objective with group-regularizer prefers biologically...
Simultaneous Localization and Mapping (SLAM) is a fundamental problem in the field of robotics, enabling autonomous robots to navigate create maps unknown environments. Nevertheless, SLAM methods that use cameras face problems maintaining accurate localization over extended periods across various challenging conditions scenarios. Following advances neuroscience, we propose NeoSLAM, novel long-term visual SLAM, which uses computational models brain deal with this problem. Inspired by human...
Precise characterization of geomaterials improves subsurface energy extraction and storage. Understanding geomaterial property, the complexities between petrophysics geomechanics, plays a key role in maintaining security transition to net zero global carbon economy. Multiple sectors demand accurate rapid conditions, requiring core plugs field for full-field analysis laboratory. We present novel technique non-invasive by using Frequency Modulated Continuous Wave (FMCW) radar K-band,...