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Based on Information Fusion Technology Research Shearer automatic adjusting system

Author: XiaoJian
Tutor: FuHua
School: Liaoning Technical University
Course: Control Theory and Control Engineering
Keywords: Wavelet packet Information Fusion Genetic Neural Network Coal and rock Interface Recognition
CLC: TP273
Type: Master's thesis
Year: 2008
Downloads: 108
Quote: 1
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Abstract


Coal is China's main energy, the development of coal industry is related to the country's economic lifeline. Coal winning machine and its control system is the main equipment for coal mining. Coal winning machine reasonable raised strategies and advanced control technology research has become a top priority of coal industry, has received the widespread attention. This article first to the sensor to collect the signals using the wavelet packet method for the extraction of characteristic value, is used for the extraction of signal and then D - S evidence theory combined with genetic neural network method is more accurate data, makes the coal rock interface recognition more accurate, to the coal winning machine control system provides more accurate data information. USES the advanced TMS320F2812 chip as the core of the control system. Using DSP technology to improve the basic properties of the coal winning machine control system, and for further development of coal and rock interface automatic recognition, automatic machine operation technology and online fault diagnosis, provide powerful hardware support. Through the experiment data verify the reliability and sensitivity of the system. Coal winning machine control system based on information fusion technology has great advantages in coal mining, has a broad development prospects.

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CLC: > Industrial Technology > Automation technology,computer technology > Automation technology and equipment > Automation systems > Automatic control,automatic control system
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