Application of the Gaussian Mixture Model to Classify Stages of Electrical Tree Growth in Epoxy Resin

Abubakar Mas’ud, Abdullahi; Sundaram, Arunachalam; Alfredo Ardila-Rey, Jorge; Schurch, Roger; Muhammad-Sukki, Firdaus; Aini Bani, Nurul

doi:10.3390/s21072562

All Outputs (2)

Rotating blade faults classification of a rotor-disk-blade system using artificial neural network (2021)
Journal Article
Abubakar Mas’ud, A., Jamal, A., Adewusi, S., & Sundaram, A. (2021). Rotating blade faults classification of a rotor-disk-blade system using artificial neural network. International Journal of Power Electronics and Drive Systems, 12(3), 1900-1911. https://doi.org/10.11591/ijpeds.v12.i3.pp1900-1911

In this paper, the artificial neural network (ANN) has been utilized for rotating machinery faults detection and classification. First, experiments were performed to measure the lateral vibration signals of laboratory test rigs for rotor-disk-blade w... Read More about Rotating blade faults classification of a rotor-disk-blade system using artificial neural network.

Application of the Gaussian Mixture Model to Classify Stages of Electrical Tree Growth in Epoxy Resin (2021)
Journal Article
Abubakar Mas’ud, A., Sundaram, A., Alfredo Ardila-Rey, J., Schurch, R., Muhammad-Sukki, F., & Aini Bani, N. (2021). Application of the Gaussian Mixture Model to Classify Stages of Electrical Tree Growth in Epoxy Resin. Sensors, 21(7), Article 2562. https://doi.org/10.3390/s21072562

In high-voltage (HV) insulation, electrical trees are an important degradation phenomenon strongly linked to partial discharge (PD) activity. Their initiation and development have attracted the attention of the research community and better understan... Read More about Application of the Gaussian Mixture Model to Classify Stages of Electrical Tree Growth in Epoxy Resin.