Recent developments in sensor, networked IIoT technology and computational storage have created a massive increase in the volume of captured data within high voltage condition monitoring systems. This and the growth and utilization of cloud based analytics have the potential to enhance the capability to provide prognostic information to conduct machine health assessment. The volume of data transported from the ‘edge’ to these ‘cloud based services’ can however overwhelm existing SCADA networks. This has created the requirement for the creation of novel data analysis and fusion methods performed at ‘edge’ devices to best extract meaningful information from these high volumes of data and to manage the volume and velocity of data transported from the ‘edge’ to ‘data center’.
The aim of this project is to utilise and extend Big Data methods within the context of High Voltage Condition monitoring systems, involving the fusion of data from multiple sensor modalities. Outcomes of this project will further develop the capability for online diagnostic condition assessment of generators, motors and cables. This will involve exploring and extending on current methods for information extraction, data processing at edge devices and on the cloud, machine learning, and high velocity data management. The research activity will work alongside an existing research and development collaboration with an industrial partner with a global reputation for excellence in condition monitoring serving the electrical energy sector. The project success relies on the supply of measurement data from sensors and not on simulated data. This relationship is particularly important to the supply of this data and access to first-hand knowledge of the realities of deployment in the field.
The successful applicant will be an Electrical and Electronic Engineering or Computing Science graduate holding the minimum of a first degree (2:1 or above); or a Masters degree in a subject relevant to the research project. The successful candidate should demonstrate the capability to work across a diversity of technical areas with an inquisitive and problem solving approach and have excellent knowledge and experience of programming and analytical skills.
Research Strategy and Research Profile
Glasgow Caledonian University’s research is framed around the United Nations Sustainable Development Goals, We address the Goals via three societal challenge areas of Inclusive Societies, Healthy Lives and Sustainable Environments. For more. This project is part of the research activity of the Research Group – Smart Connectivity and Sensing
How to Apply
Applicants will normally hold a UK honours degree 2:1 (or equivalent); or a Masters degree in a subject relevant to the research project. Equivalent professional qualifications and any appropriate research experience may be considered. A minimum English language level of IELTS score of 6.5 (or equivalent) with no element below 6.0 is required. Some research disciplines may require higher levels.
Candidates are encouraged to contact the research supervisors for the project before applying. Applicants should complete the online GCU Research Application Form, stating the Project Title and Reference Number (listed above).
Please also attach to the online application, copies of academic qualifications (including IELTS if required), 2 references and any other relevant documentation.
Please send any enquiries regarding your application to: [email protected] Applicants shortlisted for the PhD project will be contacted for an interview.