Principal
Dr.ir. Joel Yeo
Education
2018-2021
Eng.D. degree in partial discharge identification and localisation from the Singapore University of Technology and Design, Singapore
2014-2016
M.Sc. degree in high voltage diagnostics from the Delft University of Technology, the Netherlands
2012-2014
B.Eng. (1st Class Hons) in electrical engineering from the Queensland University of Technology, Australia
Work
Present
Principal, HVPD Pte. Ltd.
2023-2024
Technical Expert (II) Condition Monitoring, SP PowerGrid Ltd.
2022
Senior Engineer, Asset Sensing and Analytic section, SP PowerGrid Ltd.
2021
Eng.D. intern, Asset Sensing and Analytics section, SP PowerGrid Ltd.
2020
Director, T Yeo Engineers Pte. Ltd.
2015-2019
Senior Electrical Engineer, T Yeo Engineers Pte. Ltd.
2014
Electrical Engineer, T Yeo Engineers Pte. Ltd.
Notable
1. PD testing and commissioning SPPG transmission network
-
316 high voltage partial discharge tests, commissioned 125 assets.
-
400 kV switchgear, transformer, feeder cable
-
230 kV switchgear, oil transformer, gas transformer, transformer power cable, feeder cable, cable diversion, interconnector cable
-
66 kV switchgear, oil transformer, gas transformer, transformer power cable, feeder cable
2. Singapore’s first underground substation (UGSS)
-
Completed partial discharge commissioning for every 230, 66 kV asset - GIS, GIT, and interconnectors.
3. Designed an algorithm based on deep and machine learning techniques, for identification of PD obtained from on-site transient earth voltage measurements.
Memberships
Professional Engineer (Electrical) 5473
IEEE Member
Language spoken
English, Chinese, Malay (basic), German (basic)
Publications
-
J. Yeo et al., 22 kV Distribution Protection Current Transformer, Unearthed Spare Windings Partial Discharge Cause and Analysis, The 24th Conference on the Electric Power Supply Industry, 2023.
-
J. Yeo et al., On-Line Partial Discharge Detection on Transformer Cable Sealing Ends in Singapore's Transmission Network, IEEE Electrical Insulation Magazine, 2023.
-
J. Yeo et al., Practical Application of Neural Networks in Measuring Partial Discharges in MV Power Cables, 2022 INMR World Congress, INMR, 2022.
-
J. Yeo et al., Localisation of Partial Discharge in Power Cables Through Multi-Output Convolutional Recurrent Neural Network and Feature Extraction, IEEE Transactions on Power Delivery, 2022.
-
J. Yeo et al., Identification of Partial Discharge Through Cable-Specific Adaption and Neural Network Ensemble, IEEE Transactions on Power Delivery, 2021.
-
J. Yeo et al., Predicting of Partial Discharge in Medium-Voltage Cables Using Recurrent Neural Network with Long Short-Term Memory Cells after Wavelet Denoising, 2020 8th International Conference on Condition Monitoring and Diagnosis, 2020.
-
J. Yeo et al., Developing Neural Network Models for Partial Discharge Analysis, IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society, 2020.
-
J. Yeo et al., Application of Recurrent Neural Network with Long Short-Term Memory Cells on Partial Discharge Identification, Jicable 10th International Conference on Insulated Power Cables, 2019.
(click on title for link to paper)