目前采煤机的状态监测主要针对电气、液压系统，对关键机械部位、特别是机械传动系统的监测采用传统油液离线分析方法，难以对系统运行状态进行实时在线监测和故障诊断处理，严重影响煤矿井下开采的可靠性和安全性。大型设备状态监测与安全评估被认为是保障装备可靠性的最佳解决方案。因此，论文对电牵引采煤机机械传动系统振动状态监测与故障诊断技术进行研究，构建了采煤机远程监测与故障诊断系统，探索采煤机机械传动系统振动测试的准则与评判方法。论文主要研究工作包括： 针对目前采煤机在状态监测及安全运行方面存在的问题，分析电牵引采煤机综合状态监测与诊断技术及解决方法，提出采用多层次复合技术实现采煤机整机状态监测，从而解决电牵引采煤机监测盲区问题，实现电气、液压、机械系统工况监测与信息集成，为多传感器信息融合采煤机整机安全评价奠定基础。 针对采煤机故障机理与征兆联系研究不足的问题，分析复杂机电系统运行特性与典型工况表征物理量的检测方法，探索耦合受迫振动工况下采煤机工作特点，研究采煤机典型机械部位故障演化机理及其与征兆物理量之间的内在联系；并结合理论分析和实践测试数据，确定合理的采煤机故障诊断方案，制定采煤机机械传动系统振动测试的准则与评判方法，为采煤机工况监测与预测维护提供理论依据。 最后，针对采煤机安全运行应用背景，建立实验平台对电牵引采煤机状态监测与故障诊断系统进行测试，实验测试结果验证了论文的研究成果。

The current domestic and foreign condition monitoring system on shearer is mainly for electrical and hydraulic system. Key mechanical parts, especially for coal winning machine oil monitoring method of mechanical transmission system, adopts the traditional off-line analysis method, it is difficult to the real-time online monitoring system running state and fault prediction processing. That limits the coal winning machine predictive maintenance and other modern equipment operation management theory and method of application, seriously hinder the reliability and safety of coal mine underground mining. Large equipment condition monitoring and safety evaluation is considered to be the best solution to safeguard equipment reliability. Therefore, this thesis aimed at vibration condition monitoring and fault diagnosis technology research on electrical haulage shearer, to construct a system of remote monitoring and fault diagnosis system, explore the mechanical transmission system of shearer vibration test criteria and evaluation method. In view of the present coal winning machine in the condition monitoring and safe operation of the existing problems, and analysis of electrical haulage shearer comprehensive condition monitoring and diagnosis technology and solutions, multi-layered composite technology to realize the coal winning machine is presented in this paper the machine condition monitoring, so as to solve the problem of electric haulage shearer monitoring blind area, realizes the electric, hydraulic and mechanical system condition monitoring and information integration, multiple sensor information fusion of shearer machine laying a foundation for security evaluation. Signs on the fault mechanism of shearer and contact the problem of insufficient research, analysis of complex electromechanical system operation characteristics and typical working condition of physical quantities of detection methods, to explore the coupling under the working condition of forced vibration characteristics of the coal winning machine and the typical mechanical coal mining machine parts fault evolution mechanism and signs with the internal relations between physical quantities; And combining with theoretical analysis and practical test data, determine the reasonable mining machine fault diagnosis scheme, making mechanical transmission system of shearer vibration test criteria and evaluation method, for the coal mining machine condition monitoring and predictive maintenance. Finally, according to the safe operation of the coal winning machine application background, an experimental platform for the electric traction coal winning machine condition monitoring and fault diagnosis system for testing, test results show that the research results of the paper.