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Open Access research that improves the lives of children and families...

Strathprints makes available scholarly Open Access content by scholars in the School of Social Work & Social Policy, based within the Faculty of Humanities & Social Sciences (HaSS) .

Research at Social Work & Social Policy seeks to understand the social experiences of children, young people and families, in order to support evidence-informed policy. Issues of public health, health inequalities and health history within the context of social work are also important research themes. Research centres, such as CELCIS (Centre for Excellence for Children's Care & Protection) and the CYCJ (Centre for Youth & Criminal Justice) operate in furtherance of these research areas, supporting evidence-based solutions to improve child wellbeing and improvements in youth justice, and the lives of families and communities.

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Group by: Publication Date | Item type | No Grouping
Jump to: 2018 | 2017 | 2015 | 2014
Number of items: 4.

2018

Wang, Xiaoyu and McArthur, Stephen D.J. and Strachan, Scott M. and Kirkwood, John D. and Paisley, Bruce (2018) A data analytic approach to automatic fault diagnosis and prognosis for distribution automation. IEEE Transactions on Smart Grid, 9 (6). pp. 6265-6273. ISSN 1949-3053

2017

Wang, Xiaoyu and McArthur, Stephen and Strachan, Scott and Paisley, Bruce (2017) Decision support for distribution automation : data analytics for automated fault diagnosis and prognosis. In: Proceedings of 24th International Conference and Exhibition on Electricity Distribution (CIRED). IET, Stevenage. (In Press)

2015

Wang, X. and Strachan, S. M. and McArthur, S. D. J. and Kirkwood, J. D. (2015) Automatic analysis of Pole Mounted Auto-Recloser data for fault diagnosis and prognosis. In: 2015 18th International Conference on Intelligent System Application to Power Systems, ISAP 2015. IEEE, Piscataway. ISBN 9781509001903

2014

Wang, Xiaoyu and Strachan, Scott and Kirkwood, John and McArthur, Stephen (2014) Automatic analysis of pole mounted auto-recloser data for fault prognosis to mitigate customer supply interruptions. In: 2014 49th International Universities Power Engineering Conference (UPEC). IEEE, pp. 1-6. ISBN 978-1-4799-6556-4

This list was generated on Wed Nov 20 07:56:03 2019 GMT.