The Open Electrical & Electronic Engineering Journal

2014, 8 : 685-689
Published online 2014 December 31. DOI: 10.2174/1874129001408010685
Publisher ID: TOEEJ-8-685

Research on Enhancement Technology of Conveyor Belt Fault Images Based on Fruit Fly Optimization Algorithm

Chunqing Ye , Changyun Miao , Xianguo Li and Yanli Yang
School of Electronics and Information Engineering, Tianjin Polytechnic University, Tianjin 300000, China.

ABSTRACT

In this research, we studied the fault recognition algorithm of steel cord conveyor belt, and obtained the wire ropes image by adopting the detection system of steel cord conveyor belt, so that the fault recognition algorithm of steel cord conveyor belt was proposed based on Fruit fly optimization algorithm. As we know that the fruit fly optimization algorithm is used for fault detection of the processing steel cord conveyor belt image and for obtaining the fault image. In the MATLAB environment, the algorithm process was designed and verified in terms of the effectiveness and accuracy. The experimental results show that with fast speed and high accuracy in detecting the fault image of steel cord conveyor belt rapidly and accurately, and in classifying scratch from fracture the proposed algorithm is suitable for the fault recognition of steel cord conveyor belt automatically.

Keywords:

Fruit fly optimization algorithm, steel cord conveyor belt, wire rope image, fault detection algorithm.