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机构地区:[1]中国矿业大学机电工程学院,江苏徐州221116
出 处:《工矿自动化》2014年第3期90-94,共5页Journal Of Mine Automation
摘 要:构建了基于NI CRIO嵌入式平台和LabView开发平台的采煤机监控和故障诊断系统,详细介绍了该系统的主要功能、硬件和软件的设计。该系统既可对采煤机各运动机构状态进行实时监测、控制和阈值报警,并对监测参数及故障信息进行实时存储,方便技术人员分析采煤机运行状况,又可实时显示采煤机振动信号,并进行滤波、时域分析、倒频谱分析及功率谱分析,实现出厂前和检修过程中的故障诊断功能,帮助定位采煤机故障信息。A monitoring and fault diagnosis system for shearer based on NI CRIO embedded platform and LabView development platform was constructed, main functions and design of hardware and software of the system were introduced in details. The system not only can real-timely monitor, control state of movement device of the shearer, and make over-threshold alarm, and can real-timely store monitored parameters and fault information, so as to analyze running status of shearer by technician, but also can real-timely display vibration signals of the shearer, and can filter, analyze time-domain, cepstrum and power spectrum, so as to implement fault diagnosis function before delivery and in maintenance process, which is helpful to locate fault for shearer.
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