Philip Boreham

Orcid: 0000-0003-0071-7717

According to our database1, Philip Boreham authored at least 16 papers between 2017 and 2022.

Collaborative distances:
  • Dijkstra number2 of six.
  • Erdős number3 of five.

Timeline

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Bibliography

2022
Dynamic Noise Reduction with Deep Residual Shrinkage Networks for Online Fault Classification.
Sensors, 2022

Can a deep learning based IoT fault diagnosis system identify more than one fault at a time?
Proceedings of the IEEE International Conference on Internet of Things and Intelligence Systems, 2022

Unsupervised Source Separation for Multi-Label Classification.
Proceedings of the 30th European Signal Processing Conference, 2022

2021
Data-Driven Anomaly Detection in High-Voltage Transformer Bushings with LSTM Auto-Encoder.
Sensors, 2021

An expert system for EMI data classification based on complex Bispectrum representation and deep learning methods.
Expert Syst. Appl., 2021

Robust Deep Residual Shrinkage Networks for Online Fault Classification.
Proceedings of the 29th European Signal Processing Conference, 2021

OODCN: Out-Of-Distribution Detection in Capsule Networks for Fault Identification.
Proceedings of the 29th European Signal Processing Conference, 2021

2020
Low Complexity Classification of Power Asset Faults for Real Time IoT-based Diagnostics.
Proceedings of the IEEE Global Conference on Artificial Intelligence and Internet of Things, 2020

2019
Deep Complex Neural Network Learning for High-Voltage Insulation Fault Classification from Complex Bispectrum Representation.
Proceedings of the 27th European Signal Processing Conference, 2019

A Hybrid Cloud for Data Analytics in Electrical Substation Condition Monitoring Systems.
Proceedings of the 2019 IEEE International Conference on Computational Science and Engineering, 2019

2018
Imaging Time Series for the Classification of EMI Discharge Sources.
Sensors, 2018

Classification of Partial Discharge Signals by Combining Adaptive Local Iterative Filtering and Entropy Features.
Sensors, 2018

Entropy-Based Feature Extraction for Electromagnetic Discharges Classification in High-Voltage Power Generation.
Entropy, 2018

Naive Bayes Multi-Label Classification Approach for High-Voltage Condition Monitoring.
Proceedings of the IEEE International Conference on Internet of Things and Intelligence System, 2018

Deep Residual Neural Network for EMI Event Classification Using Bispectrum Representations.
Proceedings of the 26th European Signal Processing Conference, 2018

2017
Classification of partial discharge EMI conditions using permutation entropy-based features.
Proceedings of the 25th European Signal Processing Conference, 2017


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