Condition monitoring techniques

Work package manager: Dr Steve McArthur, The University of Strathclyde, s.mcarthur@eee.strath.ac.uk

Key deliverables are:

• An enhanced condition monitoring framework which informs the deployment of substation-wide to plant-specific monitoring
• Intelligent plant diagnostic systems and tools to support asset managers, maintenance engineers, etc
• Evaluation of the sensor technology required to implement intelligent sensors, with onboard data interpretation
• The elicitation and representation of the knowledge used by partial discharge experts for inclusion in a novel approach to the intelligent analysis of partial discharge data, offering enhanced decision support and explanation for non-expert users of partial discharge monitoring
• Condition monitoring architecture capable of integrating condition monitoring data from both conventional monitoring systems and the state-of-the-art monitoring techniques developed

Activities are

• Activity 6.1 - Novel RF sensors for condition monitoring
• Activity 6.2 - Low cost sensors for wide area condition monitoring
• Activity 6.3 - Optical couplers and transmission of PD data
• Activity 6.4 - Diagnostic modules for condition monitoring data analysis
• Activity 6.5 - A “descriptive approach” to knowledge-based analysis of partial discharge data
• Activity 6.6 - Holistic monitoring techniques for electrical plant
• Activity 6.7 - Interpretation of data from intelligent electronic devices
• Activity 6.8 - Machine learning for plant condition monitoring
• Activity 6.9 - Analysis and requirements assessment for condition monitoring
• Activity 6.10 - Specification, design and implementation of a distributed intelligence architecture