Dr. Abd Kadir Bin MahamadEmail: kadir@uthm.edu.myContact No: 607-4534664Fax No: 607 – 4538387MIEEE MIEM PEngWorking ExperiencesTrainee, Sony Electronics Malaysia Sdn Bhd, 1997.Equipment Maintenance Technician , Intel Technology Sdn Bhd, Penang, 1998Technician, Tumin Electronics Service 2004Production Engineer, Pioneer Technology (M) Sdn Bhd 2005Tutor, UTHM, 2006Senior Lecturer, UTHM, 2010 – present.
Photovoltaic system is considered to be a renewable energy which is derived from solar energy. So... more Photovoltaic system is considered to be a renewable energy which is derived from solar energy. Solar energy is an abundant resource which is clean and green energy taken from nature. However, the amount of electric power generated by solar arrays varies according to the weather condition. This will bring inconsistency in generation of output power. This report proposes a maximum power point tracking (MPPT) of photovoltaic system based on adaptive neural fuzzy inference system (ANFIS) control with FPGA implementation. The performance of proposed method will be evaluated by using MATLAB/SIMULINK application. The proposed method is capable to maintain the consistency of power generated by solar panel under varies conditions.
AbstractThis paper presents an approach of intelligent fault classification of induction motor b... more AbstractThis paper presents an approach of intelligent fault classification of induction motor bearing (IMB) using several artificial intelligent (AI) methods. The most common AI methods are FeedForward Neural Network (FFNN), Elman Network (EN), Radial Basis Function ...
Accurate remaining useful life (RUL) prediction of machines is important for condition based main... more Accurate remaining useful life (RUL) prediction of machines is important for condition based maintenance (CBM) to improve the reliability and cost of maintenance. This paper proposes artificial neural network (ANN) as a method to improve accurate RUL prediction of ...
Extended Summary 本文は pp.838846 Development of ANN for Diagnosing Induction Motor Bearing Failure... more Extended Summary 本文は pp.838846 Development of ANN for Diagnosing Induction Motor Bearing Failure Abd Kadir Mahamad Student Member (Kumamoto University, kadir@st.cs. kumamoto-u.ac.jp) ... Abd Kadir Mahamad ∗,∗∗ Student Member Takashi Hiyama ∗ Member ...
... Acoustic Emission and Artificial Neural Network Abd Kadir Mahamad Student Member (Kumamoto Un... more ... Acoustic Emission and Artificial Neural Network Abd Kadir Mahamad Student Member (Kumamoto University, kadir@st.cs.kumamoto-u.ac.jp) ... Abd Kadir Mahamad ∗ Student Member Takashi Hiyama ∗ Member Mohd Imran Ghazali ∗∗ Non-member ...
Photovoltaic system is considered to be a renewable energy which is derived from solar energy. So... more Photovoltaic system is considered to be a renewable energy which is derived from solar energy. Solar energy is an abundant resource which is clean and green energy taken from nature. However, the amount of electric power generated by solar arrays varies according to the weather condition. This will bring inconsistency in generation of output power. This report proposes a maximum power point tracking (MPPT) of photovoltaic system based on adaptive neural fuzzy inference system (ANFIS) control with FPGA implementation. The performance of proposed method will be evaluated by using MATLAB/SIMULINK application. The proposed method is capable to maintain the consistency of power generated by solar panel under varies conditions.
AbstractThis paper presents an approach of intelligent fault classification of induction motor b... more AbstractThis paper presents an approach of intelligent fault classification of induction motor bearing (IMB) using several artificial intelligent (AI) methods. The most common AI methods are FeedForward Neural Network (FFNN), Elman Network (EN), Radial Basis Function ...
Accurate remaining useful life (RUL) prediction of machines is important for condition based main... more Accurate remaining useful life (RUL) prediction of machines is important for condition based maintenance (CBM) to improve the reliability and cost of maintenance. This paper proposes artificial neural network (ANN) as a method to improve accurate RUL prediction of ...
Extended Summary 本文は pp.838846 Development of ANN for Diagnosing Induction Motor Bearing Failure... more Extended Summary 本文は pp.838846 Development of ANN for Diagnosing Induction Motor Bearing Failure Abd Kadir Mahamad Student Member (Kumamoto University, kadir@st.cs. kumamoto-u.ac.jp) ... Abd Kadir Mahamad ∗,∗∗ Student Member Takashi Hiyama ∗ Member ...
... Acoustic Emission and Artificial Neural Network Abd Kadir Mahamad Student Member (Kumamoto Un... more ... Acoustic Emission and Artificial Neural Network Abd Kadir Mahamad Student Member (Kumamoto University, kadir@st.cs.kumamoto-u.ac.jp) ... Abd Kadir Mahamad ∗ Student Member Takashi Hiyama ∗ Member Mohd Imran Ghazali ∗∗ Non-member ...
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