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Research on Detection Device for broken wires of Coal Mine-Hoist Cable

Journal of China University of Mining and Technology 2007年第3期17卷 376-381页

作者： WANG Hong-yao HUA Gang TIAN Jie School of Information and Electrical Engineering China University of Mining ＆ Technology Xuzhou Jiangsu 221008 China School of Mechanical Electronic and Information Engineering China University of Mining ＆ Technology Beijing 100083 China

In order to overcome the flaws of present domestic devices for detecting faulty wires such as low precision,low sensitivity and instability,a new instrument for detecting and processing the signal of flux leakage caused by bro-ken wires of coal mine-hoist cables is investigated. The principle of strong magnetic detection was adopted in the equipment. wires were magnetized by a pre-magnetic head to reach magnetization saturation. Our special feature is that the number of flux-gates installed along the circle direction on the wall of sensors is twice as large as the number of strands in the wire cable. Neighboring components are connected in series and the interference on the surface of the wire cable,produced by leakage from the flux field of the wire strands,is efficiently filtered. The sampled signal se-quence produced by broken wires,which is characterized by a three-dimensional distribution of the flux-leakage field on the surface of the wire cable,can be dimensionally condensed and characteristically extracted. A model of a BP neu-ral network is built and the algorithm of the BP neural network is then used to identify the number of broken wires quantitatively. In our research,we used a 6×37+FC,Φ24 mm wire cable as our test object. Randomly several wires were artificially broken and damaged to different degrees. The experiments were carried out 100 times to obtain data for 100 groups from our samples. The data were then entered into the BP neural network and trained. The network was then used to identify a total 16 wires,broken at five different locations. The test data proves that our new device can enhance the precision in detecting broken and damaged wires.

关键词： wire cable broken wire signal processing detection device

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Prevent Twisting wire Rope Inspection Based on Neural Network

Prevent Twisting Wire Rope Inspection Based on Neural Networ...

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第30届中国控制与决策会议

作者： Chen Zhen Chen Xianwei Liu Tao Liaoning Power Transmission and Transformation Engineering Company

In view of the problem of low detection precision existed in traditional qualitative inspection system of broken wire for the anti twisting wire rope, the paper proposed a design scheme of quantitative detection system of broken wire for steel rope based on BP neural network. The BP Neural Network is introduced to establish the model of discerning quantitative broken steel wires. Experimental results show that the method performs well in the identification of damage.

关键词： Steel Rope broken wire Neural Network Quantitative Inspection

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