Md Fahmi Abd Samad

Md Fahmi Abd Samad
Technical University of Malaysia Malacca | utem

PhD Mechanical Engineering

About

24
Publications
4,633
Reads
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78
Citations
Citations since 2016
19 Research Items
63 Citations
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Publications

Publications (24)
Article
Full-text available
Two of the steps in system identification are model structure selection and parameter estimation. In model structure selection, several model structures are evaluated and selected. Because the evaluation of all possible model structures during selection and estimation of the parameters requires a lot of time, a rigorous method in which these tasks...
Article
The existence of random variable in any industrial process is basically unavoidable. It occasionally creates nonlinearity behavior of a system and makes predictive control complicated. Such a random behavior must not be ignored as it may indicate any unknown event occurring during the process. System identification is an approach to construct the m...
Article
Full-text available
Design for manufacturing and assembly (DFMA) guidelines aim to reduce part count, number of welds and number of operations. By doing so, production advantages such as shorter production time, higher management efficiency and greater customer satisfaction are achieved. In this paper, the effectiveness of the DFMA method was shown in vehicle door des...
Conference Paper
Full-text available
System identification is the field of study involving the derivation of a mathematical model to explain dynamical behaviour of a system. Model structure selection is a problem in system identification which addresses selecting an adequate model i.e. a model that has a good balance between parsimony and accuracy in approximating a dynamic system. Ge...
Article
Full-text available
Genetic algorithm (GA) is a popular technique of optimization that is bio-inspired and based on Charles Darwin's proposed principles of natural genetics and natural selection theories. The algorithm operates on three simple genetic operators called selection, crossover and mutation. GA has many variations such as real coded and binary coded dependi...
Article
Full-text available
This paper focuses on reducing the corrosion rate of aluminium alloy 6061 through anodizing. The study involves characterizing corrosion phenomenon that occurs on aluminium alloy 6061 in relation to parameters involved in an anodizing process, in particular, the current density of anodizing, and its corrosion environment; specifically, the concentr...
Conference Paper
Full-text available
Teaching of microcomputer technology to beginner students is not an easy task as it requires a clear understanding of what really happens in the "brain" of microcomputers. This paper presents how the problem is addressed by practical application during a microcomputer course. The application is a robotic ground locomotive vehicle. It involved the a...
Conference Paper
Full-text available
This paper focuses on reducing the corrosion rate of aluminum alloy 6061 through anodizing. The study involves characterizing corrosion phenomenon in relation to parameters involved in an anodizing process, in particular the current density of anodizing, and its corrosion environment, specifically, the pH value and concentration of sodium chloride...
Conference Paper
Full-text available
Design for manufacture and assembly (DFMA) guidelines aim to reduce part count, number of welds and number of operations. In this paper, the effectiveness of DFMA method is shown in passenger car design. Using Boothroyd and Dewhurst analysis, it employs a quantitative analysis of the design. Each part of the design is rated with a numerical value d...
Article
Full-text available
Information criterion is an important factor for model structure selection in system identification. It is used to determine the optimality of a particular model structure with the aim of selecting an adequate model. There had not been, or scarcely have been, any loss function that evaluates parsimony of model structures (bias contribution) based o...
Article
Full-text available
Model structure selection is one among crucial steps in system identification and in order to carry out this, an information criterion is needed. It plays an important role in determining an optimum model structure with the aim of selecting an adequate model to represent a real system. A good information criterion should not only evaluate predictiv...
Article
Full-text available
Information criterion is an important factor for model structure selection in system identification. It is used to determine the optimality of a particular model structure with the aim of selecting an adequate model. A good information criterion not only evaluate predictive accuracy but also the parsimony of model. There are many information criter...
Conference Paper
Full-text available
Information criterion is an important factor for model structure selection in system identification. It is used to determine the optimality of a particular model structure with the aim of selecting an adequate model. This paper introduces a new parameter-magnitude based information criterion (PMIC2) for identification of linear discrete time model....
Article
Full-text available
Model structure selection is a problem in system identification which addresses selecting an adequate model i.e. a model that has a good balance between parsimony and accuracy in approximating a dynamic system. Parameter magnitude-based information criterion 2 (PMIC2), as a novel information criterion, is used alongside Akaike information criterion...
Article
Full-text available
Information criterion is an important factor for model structure selection in system identification. It is used to determine the optimality of a particular model structure with the aim of selecting an adequate model. A good information criterion not only evaluate predictive accuracy but also the parsimony of model. There are many information criter...
Article
Full-text available
Field test approach of steer-by-wire (SBW) technologies by using actual vehicle can be very dangerous. This is due to the fact that stability of the vehicle is very sensitive to the steering wheel input. Less optimum parameters of the steering controllers or system failure may lead to dangerous road accident. In this study, hardware-in-the-loop sim...
Article
Full-text available
System identification is a field of study involving the derivation of a mathematical model to explain the dynamical behaviour of a system. One of the steps in system identification is model structure selection which involves the selection of variables and terms of a model. Several important criteria for a desirable model structure include its accur...
Article
Full-text available
The control of an unmanned aerial vehicle (UAV) requires a two-way radio communication between the UAV and ground control station (GCS). This radio communication is achieved through the use of antennas as medium of recital and transmission in the data-link system. This paper presents the project of an in-house lowcost development of a UAV automatic...
Article
Full-text available
The evaluation of an objective function for a particular model allows one to determine the optimality of a model structure with the aim of selecting an adequate model in system identification. Recently, an objective function was introduced that, besides evaluating predictive accuracy, includes a logarithmic penalty function to achieve a suitable ba...
Article
Full-text available
System identification is a method of determining a mathematical relation between variables and terms of a process based on observed input-output data. Model structure selection is one of the important steps in a system identification process. Evolutionary computation (EC) is known to be an effective search and optimization method and in this paper...
Article
Full-text available
The genetic algorithm approach is widely recognized as an effective and flexible optimization method for system identification. The flexibility of a genetic algorithm allows various strategies to be applied to it. One of the strategies applied is the modified genetic algorithm which relies on, among other things, the separation of the population in...

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