Artificial Neural Network Based Model for Temperature Prediction of an Industrial Oven
Journal Title: IOSR Journals (IOSR Journal of Electrical and Electronics Engineering) - Year 2018, Vol 13, Issue 2
Abstract
Industrial ovens often consume a considerable amount of the electrical energy and have a significant effect on the quality of the product and the production cost. The cost of energy all over the world is increasing and the natural resources are depleted as more and more energy is being harnessed. Temperature and heat losses contribute significantly to this problem and needs to be controlled. This thesis presents a model for the prediction of temperature that is used to predict the temperature of an oven. In this research, a back propagation neural network model was developed. Experiments were conducted where the oven was heated up over a period of time and the temperature was recorded over this period of time. The obtained temperature values were trained, tested and validated on the MATLAB’s Neural Network Toolbox. A comparison of the target data against the output data was done and it was found to be a good model for prediction since the value of statistical measure was 1 (R=1) for all the data values (Training, testing and validation data). The oven model used in this research had a problem of temperature control where temperature could shoot above or cool below the set temperature. This rendered the lab samples to extreme temperatures and losses of energy. This research contributes in a big way to the methods of temperature control in the industrial process heating processes and energy management and conservation processes.
Authors and Affiliations
Martin Irungu Kamande, Jean Bosco Byiringiro, Peter Ng’ang’a Muchiri
Optimal Placement of Multiple Distributed Generation to Improve Voltage Stability as well as Minimize Loss in Distribution System
Theaim of paper is to presents a technique based on Particle Swarm Optimization (PSO) to identify the switching operation plan for feeder reconfiguration and optimum size value of DG simultaneously. The key purpose is to...
Improve Recovery Algorithm of MWC sy
Multiband signal is a typical signal in the realm of modern communications, whose spectrum is the sum of several narrow band signals in frequency domain. Modulated Wideband Converter (MWC) system, which is based on the e...
Six Phase Induction Motor Modelling For Submarine Application
Research in electrical machine design is tilting towards multiphase systems, due its numerous advantages. As the quest for energy efficient systems increases, research in this regard also increases. Mostly in the area of...
Water Evaporation Optimization Algorithm for Solving Dynamic Economic Dispatch
This paper presents an efficient Water Evaporation Optimization algorithm (WEO) is proposed to solve a Dynamic Economic Dispatch problem (DED). The dynamic dispatch problem differs from the static economic dispatch probl...
The Main Preparation Methods of Gan Films
Wide band-gap semiconductor materials have many properties such as the big forbidden band width, high thermal conductivity, high dielectric strength, low dielectric constant, high electron velocity (saturated speed). In...