Publikationen, an denen er mitarbeitet Brian Stewart (15)

2021

  1. A Diagnostics Framework for Underground Power Cables Lifetime Estimation under Uncertainty

    IEEE Transactions on Power Delivery, Vol. 36, Núm. 4, pp. 2014-2024

  2. Uncertainty-Aware Fusion of Probabilistic Classifiers for Improved Transformer Diagnostics

    IEEE Transactions on Systems, Man, and Cybernetics: Systems, Vol. 51, Núm. 1, pp. 621-633

2019

  1. Adaptive Power Transformer Lifetime Predictions Through Machine Learning and Uncertainty Modeling in Nuclear Power Plants

    IEEE Transactions on Industrial Electronics, Vol. 66, Núm. 6, pp. 4726-4737

  2. Improved power transformer condition monitoring under uncertainty through soft computing and probabilistic health index

    Applied Soft Computing, Vol. 85

  3. Probabilistic Power Transformer Condition Monitoring in Smart Grids

    ARWtr 2019 - Proceedings: 2019 6th Advanced Research Workshop on Transformers

  4. Towards a Hybrid Power Cable Health Index for Medium Voltage Power Cable Condition Monitoring

    2019 IEEE Electrical Insulation Conference, EIC 2019

  5. Towards a data analytics framework for medium voltage power cable lifetime management

    11th Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies, NPIC and HMIT 2019

2018

  1. Power transformer dissolved gas analysis through Bayesian networks and hypothesis testing

    IEEE Transactions on Dielectrics and Electrical Insulation, Vol. 25, Núm. 2, pp. 494-506

  2. Towards a Comprehensive DGA Health Index

    2018 IEEE 2nd International Conference on Dielectrics, ICD 2018

2017

  1. Determining appropriate data analytics for transformer health monitoring

    10th International Topical Meeting on Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies, NPIC and HMIT 2017

  2. Improving the accuracy of transformer DGA diagnosis in the presence of conflicting evidence

    2017 IEEE Electrical Insulation Conference, EIC 2017

  3. Selecting appropriate machine learning classifiers for DGA diagnosis

    Annual Report - Conference on Electrical Insulation and Dielectric Phenomena, CEIDP