岩石掘进机动载荷识别研究

2018 IEEE International Conference on Progress in Informatics and Computing (PIC) Pub Date : 2018-12-01 DOI:10.1109/PIC.2018.8706319

Hongjie Shi, Xiangmin Dong, N. Zhang, Ning Ding

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引用次数: 3

摘要

作为掘进机自动控制系统的一部分，动载荷识别对提高掘进机的智能化水平和延长掘进机的使用寿命具有重要意义。为了解决岩石掘进机动态载荷实时识别等问题，根据矿山巷道的特点，提出了一种基于RBF神经网络的岩石掘进机动态载荷识别装置，并详细介绍了该识别装置的硬件和软件设计。该装置实现了动载荷的特征提取和识别，实现了不同硬度岩石的有效区分。

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Research of Dynamic Load Identification for Rock Roadheader

As a part of automatic control system of the rock roadheader, the identification of dynamic load is of great significance to improve the intelligent level and increase lifetime of roadheaders. In order to solve the problem of rock roadheaders such as dynamic load real-time identification, a kind of dynamic load identification device of rock roadheader based on RBF neural network is proposed according to characteristics of mining roadway, and designs of hardware and software of the identification device are introduced in details. The device realizes feature extraction and recognition of dynamic load and achieves effective distinction of rocks with different hardness.

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来源期刊

2018 IEEE International Conference on Progress in Informatics and Computing (PIC)

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