Akif DURDU, Nuri ORHAN, Seyit Alperen CELTEK, Muhammet Fatih ASLAN, Kadir SABANCI

Submersible Pump Vortex Detection Using Image Processing Technique and Neuro-Fuzzy

The vortex means the mass of air or water that spins around very fast that often faced in the agriculture irrigation systems used the pump. The undesired effects like loss of hydraulic performance, erosion, vibration and noise may occur because of the vortex in pump systems. It is important to detect and prevent vortex for the economic life and efficiency of the agriculture pump. The image processing and neuro-fuzzy based novel model is proposed for the detection of a vortex in the deep well pump used in the agriculture system with this paper. The used images and data -submergence, flow rate, the diameter of the pipe, power consumption, pressure values and noise values- is acquired from an experimental pump. The proposed approach consists of three steps; Neuro-Fuzzy Learning, Image Processing and Neuro-Fuzzy Testing. In the first step, the eighty-two data have employed for the training process of the Neuro-Fuzzy. Then, the images derived from a camera placed near the experimental pump are used to detect vortex in the image processing step. Finally, the relevant data to vortex cases have employed for the testing process of the Neuro-Fuzzy. The result of this study demonstrates that image processing and neuro-fuzzy based design can be successfully used to detect vortex formation. This paper has provided novel contributions in the vortex detection issue such as find out vortex cases by using image processing and Neuro-Fuzzy. The image processing method has shed light on the studies to be done in the classification of vortexes and the measurement of their strength.

Keywords:

Image Processing Technique, Adaptive Neural Fuzzy Network, Vortex Detection, Submergence,

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International Journal of Applied Mathematics Electronics and Computers-Cover

ISSN: 2147-8228
Yayın Aralığı: Yılda 4 Sayı
Başlangıç: 2013
Yayıncı: Selçuk Üniversitesi

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