采煤机传动装置检测与故障诊断系统的研究
发布时间：2018-08-04 12:56
【摘要】：采煤机是煤矿生产机械化与现代化的重要设备之一,是集机械、液压、电气于一体的大型复杂系统。采煤机传动装置是采煤机的重要组成部分,它与采煤效率有着密切的关系。采煤机传动装置是采煤机故障频发区,尤其是传动装置的齿轮和轴承。对采煤机传动装置进行检测与故障诊断对煤矿安全生产具有重要意义。本文依据《滚筒采煤机型式检验规范》,总结分析采煤机传动装置的试验要求,确定了截割部减速箱齿轮和轴承的振动,截割部齿轮箱油温,牵引部减速箱齿轮和轴承的振动,齿轮传动系统油池温度,截割电机电压和电流,牵引电机电压和电流,滚筒转速为主要检测参数,并研究确定了各参数的检测方法及传感器的安装位置。针对采煤机传动装置齿轮和轴承故障,确定了用于故障诊断的改进型BP神经网络结构,并选取了神经网络输入的时域和频域特征参数。论文设计了采煤机传动装置检测与故障诊断系统。系统硬件主要由传感器、调理电路、数据采集装置组成。以图形化编程语言LabVIEW2011为开发平台,结合改进型BP神经网络研发了检测与诊断软件,实现了采煤机截割部和牵引部传动装置的状态检测与故障诊断。通过实验对系统的静态特性进行分析,结果表明,系统各通道静态特性良好,能够达到采煤机截割部检测要求。并对系统的各模块功能进行了实验验证,结果表明,检测模块能够实现对采煤机传动装置各被测参数的数据分析、存储、显示等功能,故障诊断模块能够对采煤机传动装置的齿轮和轴承进行故障诊断。
[Abstract]:Shearer is one of the important equipment of mechanization and modernization of coal mine production. It is a large complex system which integrates machinery, hydraulic pressure and electricity. Shearer drive is an important part of shearer, which is closely related to coal mining efficiency. Shearer transmission is the fault area of shearer, especially the gear and bearing of transmission device. The detection and fault diagnosis of shearer drive is of great significance to the safety of coal mine production. According to the Standard for Type Inspection of Drum Shearer, this paper summarizes and analyzes the test requirements of shearer transmission, and determines the vibration of gear and bearing in the cutting part, the oil temperature of the gear box in the cutting part, the vibration of the gear and bearing of the reducer in the traction part. The oil pool temperature, the voltage and current of cutting motor, the voltage and current of traction motor and the rotational speed of drum are the main detection parameters of gear transmission system. The detection method of each parameter and the installation position of sensor are studied and determined. In view of the gear and bearing faults of shearer drive, the improved BP neural network structure for fault diagnosis is determined, and the time domain and frequency domain characteristic parameters of neural network input are selected. The paper designs the system of detecting and fault diagnosis of shearer transmission device. The hardware of the system is mainly composed of sensor, conditioning circuit and data acquisition device. Based on the graphical programming language LabVIEW2011 and the improved BP neural network, the detection and diagnosis software is developed. The condition detection and fault diagnosis of the driving device of the cutting part and the traction part of the shearer are realized. The static characteristics of the system are analyzed through experiments. The results show that the static characteristics of each channel of the system are good and can meet the requirements of the shearer cutting part detection. The experimental results show that the testing module can realize the functions of data analysis, storage, display and so on. The fault diagnosis module can diagnose the gear and bearing of shearer.
【学位授予单位】：西安科技大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TD421.6
本文编号：2163950
[Abstract]:Shearer is one of the important equipment of mechanization and modernization of coal mine production. It is a large complex system which integrates machinery, hydraulic pressure and electricity. Shearer drive is an important part of shearer, which is closely related to coal mining efficiency. Shearer transmission is the fault area of shearer, especially the gear and bearing of transmission device. The detection and fault diagnosis of shearer drive is of great significance to the safety of coal mine production. According to the Standard for Type Inspection of Drum Shearer, this paper summarizes and analyzes the test requirements of shearer transmission, and determines the vibration of gear and bearing in the cutting part, the oil temperature of the gear box in the cutting part, the vibration of the gear and bearing of the reducer in the traction part. The oil pool temperature, the voltage and current of cutting motor, the voltage and current of traction motor and the rotational speed of drum are the main detection parameters of gear transmission system. The detection method of each parameter and the installation position of sensor are studied and determined. In view of the gear and bearing faults of shearer drive, the improved BP neural network structure for fault diagnosis is determined, and the time domain and frequency domain characteristic parameters of neural network input are selected. The paper designs the system of detecting and fault diagnosis of shearer transmission device. The hardware of the system is mainly composed of sensor, conditioning circuit and data acquisition device. Based on the graphical programming language LabVIEW2011 and the improved BP neural network, the detection and diagnosis software is developed. The condition detection and fault diagnosis of the driving device of the cutting part and the traction part of the shearer are realized. The static characteristics of the system are analyzed through experiments. The results show that the static characteristics of each channel of the system are good and can meet the requirements of the shearer cutting part detection. The experimental results show that the testing module can realize the functions of data analysis, storage, display and so on. The fault diagnosis module can diagnose the gear and bearing of shearer.
【学位授予单位】：西安科技大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TD421.6
【参考文献】
相关期刊论文 前10条
1 刘玲;张西;汪琳娜;;故障诊断技术的现状与发展[J];电子测试;2016年Z1期
2 王仕军;欧阳宇珉;邓邦;;机械设备故障诊断技术及其发展趋势[J];中国高新技术企业;2015年29期
3 陈晓晶;;从鲁尔集团调研谈对德国煤矿自动化的认识[J];工矿自动化;2015年08期
4 郭卫;冯伟康;赵栓峰;;基于虚拟仪器的采煤机在线监测与诊断系统研究[J];煤矿机械;2015年01期
5 王井坤;;采煤机摇臂轴承故障诊断技术[J];煤矿机电;2014年06期
6 方质彬;潘宏侠;曲景阳;;基于嵌入式Linux的采煤机状态监测与故障诊断系统设计[J];煤矿机械;2013年11期
7 闫省伟;;采煤机故障诊断的研究[J];煤矿现代化;2012年05期
8 康淑云;;我国煤炭科技期刊现状及其发展研究[J];中国科技期刊研究;2012年05期
9 贾俊明;;电牵引采煤机摇臂振动测试与故障分析[J];山西煤炭;2011年11期
10 许春雨;宋渊;宋建成;田慕琴;;基于单片机的采煤机红外线位置检测装置开发[J];煤炭学报;2011年S1期
相关硕士学位论文 前2条
1 杨锋荣;采煤机性能自动检测仪的研发[D];西安科技大学;2015年
2 彭学前;采煤机故障诊断与故障预测研究[D];南京理工大学;2013年
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