Alan Nesbitt

Mr.

Head of Department, Department of Electrical and Electronic Engineering

https://orcid.org/0000-0003-3518-7656

Emailane2@gcu.ac.uk

70 Cowcaddens Road, Glasgow Caledonian University
G4 0BA Glasgow
United Kingdom

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16 Conference contribution
7 Article

An expert system for EMI data classification based on complex Bispectrum representation and deep learning methods
Mitiche, I., Jenkins, M. D., Boreham, P., Nesbitt, A. & Morison, G., 1 Jun 2021, In: Expert Systems with Applications. 171, 9 p., 14568.
Research output: Contribution to journal › Article › peer-review
Low complexity classification of power asset faults for real time IoT-based diagnostics
Salimy, A., Mitiche, I., Boreham, P., Nesbitt, A. & Morison, G., 9 Feb 2021, Proceedings of 2020 IEEE Global Conference on Artificial Intelligence and Internet of Things. IEEE, 6 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Open Access
File
22 Downloads (Pure)
1D-CNN based real-time fault detection system for power asset diagnostics
Mitiche, I., Nesbitt, A., Conner, S., Boreham, P. & Morison, G., Dec 2020, In: IET Generation, Transmission & Distribution. 14, 24, p. 5766-5773 8 p.
Research output: Contribution to journal › Article › peer-review

Open Access
File
189 Downloads (Pure)
A hybrid cloud for data analytics in electrical substation condition monitoring systems
Slater, J., Nesbitt, A., Morison, G. & Boreham, P., 5 Dec 2019, Proceedings: The 22nd IEEE International Conference on Computational Science and Engineering, The 17th IEEE International Conference on Embedded and Ubiquitous Computing. Qiu, M. (ed.). IEEE, p. 283-288 6 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Deep complex neural network learning for high-voltage insulation fault classification from complex bispectrum representation
Mitiche, I., Jenkins, M. D., Boreham, P., Nesbitt, A. & Morison, G., 18 Nov 2019, 2019 27th European Signal Processing Conference (EUSIPCO). IEEE, 5 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Open Access
File
96 Downloads (Pure)

An expert system for EMI data classification based on complex Bispectrum representation and deep learning methods

Low complexity classification of power asset faults for real time IoT-based diagnostics

1D-CNN based real-time fault detection system for power asset diagnostics

A hybrid cloud for data analytics in electrical substation condition monitoring systems

Deep complex neural network learning for high-voltage insulation fault classification from complex bispectrum representation