Dr Peter Matthews' Outputs (6)

Wind turbine pitch faults prognosis using a-priori knowledge-based ANFIS (2013)
Journal Article
Chen, B., Matthews, P., & Tavner, P. (2013). Wind turbine pitch faults prognosis using a-priori knowledge-based ANFIS. Expert Systems with Applications, 40(17), 6863-6876. https://doi.org/10.1016/j.eswa.2013.06.018

The fast growing wind industry has shown a need for more sophisticated fault prognosis analysis in the critical and high value components of a wind turbine (WT). Current WT studies focus on improving their reliability and reducing the cost of energy,... Read More about Wind turbine pitch faults prognosis using a-priori knowledge-based ANFIS.

Through-Life Systems Engineering Design & Support with SysML (2013)
Journal Article
Chandler, S., & Matthews, P. (2013). Through-Life Systems Engineering Design & Support with SysML. Procedia CIRP, 11, 425-430. https://doi.org/10.1016/j.procir.2013.07.002

New system capability needs have been evaluated based primarily on the product design characteristics. This process neglects the other areas of the system design such as operational availability. The proposed solution takes a more holistic view of sy... Read More about Through-Life Systems Engineering Design & Support with SysML.

Classification and Detection of Electrical Control System Faults Through SCADA Data Analysis (2013)
Journal Article
Godwin, J., Matthews, P., & Watson, C. (2013). Classification and Detection of Electrical Control System Faults Through SCADA Data Analysis. Chemical engineering transactions, 1, 985-990. https://doi.org/10.3303/cet1333165

The development of electrical control system faults leads to increased mechanical component degradation, severe reduction of asset performance, and a direct increase in annual maintenance costs. This paper presents a highly accurate data driven class... Read More about Classification and Detection of Electrical Control System Faults Through SCADA Data Analysis.

Classification and Detection of Wind Turbine Pitch Faults Through SCADA Data Analysis (2013)
Journal Article
Godwin, J., & Matthews, P. (2013). Classification and Detection of Wind Turbine Pitch Faults Through SCADA Data Analysis. International journal of prognostics and health management, 4, Article 016

The development of wind turbine pitch faults leads to increased mechanical component degradation, severe reduction of asset performance, and a direct increase in annual maintenance costs for the operator. This paper presents a highly accurate data dr... Read More about Classification and Detection of Wind Turbine Pitch Faults Through SCADA Data Analysis.

Automated Wind Turbine Pitch Fault Prognosis using ANFIS (2013)
Presentation / Conference Contribution
Chen, B., Matthews, P., & Tavner, P. (2013, February). Automated Wind Turbine Pitch Fault Prognosis using ANFIS. Presented at EWEA 2013, Vienna, Austria

Many current wind turbine (WT) studies focus on improving their reliability and reducing the cost of energy, particularly when WTs are operated offshore. WT Supervisory Control and Data Acquisition (SCADA) systems contain alarms and signals that prov... Read More about Automated Wind Turbine Pitch Fault Prognosis using ANFIS.

Insight Report: Domestic Time of Use Tariff: A comparison of the time of use tariff trial to the baseline domestic profiles (2013)
Report
Whitaker, G., Wardle, R., Barteczko-Hibbert, C., Matthews, P., Bulkeley, H., & Powells, G. (2013). Insight Report: Domestic Time of Use Tariff: A comparison of the time of use tariff trial to the baseline domestic profiles. Northern Powergrid (Northeast) Limited, Northern Powergrid (Yorkshire) Plc, British Gas Trading Limited EA Technology Ltd and the University of Durham

Peak electricity demand poses a particular challenge both to network operators and to energy suppliers. A reduction in peak demand would allow existing networks to accommodate load growth with lower investment, and also reduce the cost of electricity... Read More about Insight Report: Domestic Time of Use Tariff: A comparison of the time of use tariff trial to the baseline domestic profiles.