Noramalina Abdullah

Also published under:N. Abdullah, Norarmalina Abdullah, Noramalina Bt Abdullah

Affiliation

School of Electrical & Electronic Engineering, Universiti Sains Malaysia, Pulau Pinang, Malaysia

Topic

Accuracy Of Model,Classification Accuracy,Fault Data,Fault Diagnosis,Fault Diagnosis Model,5th Order,Ability Of The Model,Accelerated Aging Test,Accuracy Of Dataset,Agricultural Systems,Amount Of Moisture,Base Learners,Bearing Fault Diagnosis,Boundary Load,CNN Model,Classification Accuracy Of Model,Classification Model,Clustering Effect,Communication Protocol,Complex Datasets,Conversion Formula,Current Harmonics,Current Source,Current Waveforms,Cylindrical,Data-generating Model,Deep Learning,Density Of Devices,Device Performance,Effects Of Various Types,Electrical Energy,Electrostatic Potential,Energy Conversion,Energy Harvesting,Energy Harvesting Devices,Experimental Group,Farming Communities,Fast Fourier Transform,Fast Fourier Transform Analysis,Fault Categories,Fault Features,Few-shot Learning,Fourier Transform Analysis,Fundamental Frequency,Generative Adversarial Networks,Generative Adversarial Networks Model,Harmonic Distortion,Harmonic Frequencies,Harmonic Level,Harmonic Order,

Biography

Noramalina Abdullah (Member, IEEE) received the bachelor’s degree in industrial technology from Universiti Sains Malaysia, and the master’s degree in automation and mechatronic from Universiti Teknologi Malaysia, and the Ph.D. degree in philosophy from Chulalongkorn University, Bangkok, Thailand, in 2017. Her thesis in Ph.D. was about identification of fault at power transmission line. Her research interests include pertinent to power systems, fault identification, and artificial intelligent. She is currently a member of IEEE and actively contributes in their activities.