A5011873953- Power Transformer Diagnostics and Insulation
- High voltage insulation and dielectric phenomena
- Machine Fault Diagnosis Techniques
- Fault Detection and Control Systems
- Power System Reliability and Maintenance
- Smart Grid Security and Resilience
- Elevator Systems and Control
- Islanding Detection in Power Systems
- Power Systems Fault Detection
- COVID-19 Clinical Research Studies
- Reliability and Maintenance Optimization
- Power Systems and Technologies
- Electrical Fault Detection and Protection
- Anomaly Detection Techniques and Applications
- Multi-Agent Systems and Negotiation
- Auction Theory and Applications
- Risk and Safety Analysis
- Water Systems and Optimization
- Respiratory Support and Mechanisms
- Sepsis Diagnosis and Treatment
- Long-Term Effects of COVID-19
- Oil and Gas Production Techniques
- Wind Energy Research and Development
- Power Line Communications and Noise
- Engineering Diagnostics and Reliability
University of Strathclyde
2009-2018
St Mary's University College
1998
This is the first part of a two-part paper that has arisen from work IEEE Power Engineering Society's Multi-Agent Systems (MAS) Working Group. Part I this examines potential value MAS technology to power industry. In terms contribution, it describes fundamental concepts and approaches within field multi-agent systems are appropriate engineering applications. As well as presenting comprehensive review meaningful applications for which being investigated, also defines technical issues must be...
This is the second part of a two-part paper that has arisen from work IEEE Power Engineering Society's Multi-Agent Systems (MAS) Working Group. Part I this examined potential value MAS technology to power industry, described fundamental concepts and approaches within field multi-agent systems are appropriate engineering applications, presented comprehensive review applications for which being investigated. It also defined technical issues must be addressed in order accelerate facilitate...
The remaining useful life (RUL) of transformer insulation paper is largely determined by the winding hot-spot temperature (HST). Frequently HST not directly monitored and it inferred from other measurements. However, measurement errors affect prediction models if uncertain variables are taken into account this can lead to incorrect maintenance decisions. Additionally, existing analytic for calculation always accurate because they cannot generalize properties transformers operating in...
Prognostics predictions estimate the remaining useful life (RUL) of assets. This information enables implementation condition-based maintenance strategies by scheduling intervention when failure is imminent. Circuit breakers (CBs) are key assets for correct operation power network, fulfilling both a protection and network reconfiguration role. Certain will perform switching on deterministic schedule, while operating stochastically in response to faults. Both types increase wear main contact,...
Accurate diagnosis of power transformers is critical for the reliable and cost-effective operation grid. Presently there are a range methods analytical models transformer fault based on dissolved gas analysis. However, these give conflicting results they not able to generate uncertainty information associated with diagnostics outcome. In this situation it always clear which model most accurate. This paper presents novel multiclass probabilistic framework analysis Bayesian networks hypothesis...
Condition-based maintenance strategies adapt planning through the integration of online condition monitoring assets. The accuracy and cost-effectiveness these can be improved by integrating prognostics predictions grouping actions respectively. In complex industrial systems, however, effective condition-based is intricate. Such systems are comprised repairable assets which fail in different ways, with various effects, typically governed dynamics include time-dependent conditional events....
Retrofitting condition monitoring systems to aging plant can be problematic, since the particular signature of normal behavior will vary from unit unit. This paper describes a technique for anomaly detection within context conditions experienced by an in-service transformer, such as loading, seasonal weather, and network configuration. The aim is model aged but given while reducing potential anomalies erroneously detected. how this has been applied two transmission transformers in U.K. A...
SUMMARY The transformation of energy networks from passive to active systems requires the embedding intelligence within network. One suitable approach integrating distributed intelligent is multi‐agent technology, where components functionality run as autonomous agents capable interaction through messaging. This provides loose coupling between that can benefit complex envisioned for smart grid. paper reviews key milestones demonstrated agent in power industry and considers which aspects...
Artificial neural networks have been investigated for many years as a technique automated diagnosis of defects causing partial discharge (PD). While good levels accuracy reported, disadvantages include the difficulty explaining results, and need to hand-craft appropriate features standard two-layer networks. Recent advances in design training deep networks, which contain more than two layers hidden neurons, resulted improved results speech image recognition tasks. This paper investigates use...
This paper considers the use of a multiagent system (MAS) incorporating hidden Markov models for condition monitoring gas turbine (GT) engines. Hidden utilizing Gaussian probability distribution are proposed as an anomaly detection tool GTs components. The this technique is shown to allow modeling dynamics despite lack high-frequency data. allows early developing faults and avoids costly outages due asset Failure. These implemented part MAS, using extension established power ontology, fault...
Multi-agent systems (MAS) have proven to be an effective platform for diagnostic and condition monitoring applications in the power industry. For example, a multi-agent system architecture, entitled (COMMAS) (McArthur et al., 2004), has been applied ultra high frequency (UHF) of partial discharge activity inside transformers. Additionally, system, protection engineering agents (PEDA) (Hossack 2003), demonstrated use MAS technology automated enhanced post-fault analysis disturbances based on...
Tidal power is an emerging field of renewable energy, harnessing the regular and predictable tidal currents. However, maintenance submerged equipment a major challenge. Routine visual inspections must be performed onshore, requiring costly removal turbines from sea bed resulting in long periods downtime. The development condition monitoring techniques providing automated fault detection can therefore extremely beneficial to this industry, reducing dependency on allowing planned...
The use of average data for dependability assessments results in an outdated system-level estimation, which can lead to incorrect design decisions. With increasing availability online data, there is room improve traditional assessment techniques. Namely, prognostics emerging field, provides asset-specific failure information that be reused the estimation. This paper presents a framework prognostics-updated dynamic assessment. behavior comes from runtime updated information, asset...

 An effective implementation of prognostic technology can re- duce costs and increase availability assets. As a result the rapidly growing interest in prognostics, researchers have independently developed number applications for asset-specific modeling prediction. Consequently, there is some inconsistency understanding key concepts designing systems. This further complicates already-challenging design new In order to progress from application-specific solutions towards structured...
This paper describes the end-to-end components of an on-line system for diagnostics and anomaly detection. The provides condition monitoring capabilities two in service transmission transformers UK. These are nearing end their design life, it is hoped that intensive will enable them to stay longer. discusses requirements on a interpreting data from sensors installed site, as well describing operation specific diagnostic detection techniques employed. deployed substation computer, collecting...
The paper states that integrating multiple types of intelligent, mulit-agent data analysis within a smart grid can pave the way for flexible, extensible, and robust solutions to power network management.
Control decisions within future energy networks may take account of the health and condition network assets, pushing monitoring smart grid remit. In order to support maintenance decisions, this paper proposes a circuit breaker prognostic system, which ranks breakers in priority. By SF <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">6</sub> density breaker, system not only predicts number days critical level, but also incorporates uncertainty by...
Partial discharge (PD) monitoring is a key method of tracking fault progression and degradation insulation systems. Recent research discovered that the harmonic regime experienced by plant also affects PD pattern, questioning conclusions about equipment health drawn from data. This paper presents design creation an online system for circumstance distribution cables, using only Based on machine learning techniques, can assess prevalence 5th 7th orders over period. information asset managers...
Transformers are critical assets for the reliable operation of power grid. may fail in service if monitoring models do not identify degraded conditions time. Dissolved gas analysis (DGA) focuses on examination dissolved gasses transformer oil to diagnose state a transformer. Fusion black-box (BB) classifiers, also known as an ensemble diagnostics models, have been used improve accuracy across many fields. When independent classifiers same fault, this method can increase veracity diagnostics....
Delivery of the Smart Grid is a topic considerable interest within power industry in general, and IEEE specifically. This paper presents smart grid landscape as seen by Dielectrics Electrical Insulation Society (DEIS) Technical Committee on Grids. We define various facets technology, present an examination impacts dielectrics assets. Based trajectory current research field, we identify implications for asset owners operators at both device level systems level. The concludes identifying areas...
Abstract This paper demonstrates that wave height forecasters chosen on statistical quality metrics result in sub‐optimal decision support for offshore wind farm maintenance. Offshore access is constrained by height, but the majority of approaches to evaluating effectiveness a forecaster utilize overall accuracy or error rates. introduces new metric more appropriate industry, which considers economic impact an incorrect forecast above below critical boundaries. The describes process...
The aim of this paper is to identify promising indicators for prognosis electrical treeing. Both phase-resolved partial discharge analysis (PRPDA) and pulse sequence (PSA) are utilized. prognostic properties the features evaluated in terms monotonicity, prognosability, trendability. investigation reveals that PSA has a higher suitability index than PRPDA. An exponential fit applied feature with highest index, order demonstrate its use modeling prediction time until breakdown.