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Study and Application of Monitoring and Diagnosis Technique on Low-Speed and Heavy-Duty Equipments

机译:监测和诊断技术对低速和重型设备的研究与应用

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In modern industry especially the process industry, can extensively exist a large amount of low-speed and heavy-duty equipments such as industrial excavator, port unloader machine, portal jib crane, increasing gearbox of wind power generation and so on. Once a fault occurs on these key machines, longer maintenance time and higher cost will be needed while the normal production order of enterprises will also be disorganized which can cause huge losses to enterprises. Outstanding characteristics of such equipments are heavy burden quantity and low-speed, some of which can also be accompanied with intermittent operation or great impact load. Hence, potential failure is quite difficult to be detected by traditional monitoring and diagnosis technique due to all the above characteristics. Based on strong noise and weak signals of potential failure produced during the operation of low-speed and heavy-duty equipments, parameters such as oil, vibration and current are proposed to make the detection and diagnosis through which preliminary results have been obtained.
机译:在现代行业尤其是工艺业,可以广泛存在大量的低速和重型设备,如工业挖掘机,端口卸载机器,门户臂架起重机,增加风力发电的齿轮箱等。在这些关键机上发生故障时,将需要更长的维护时间和更高的成本,而企业的正常生产顺序也将被混乱,这可能导致企业造成巨大损失。这种设备的出色特性是沉重的负荷量和低速,其中一些也可以伴随间歇运行或强烈的冲击载荷。因此,由于所有上述特征,通过传统的监测和诊断技术难以检测到潜在的失败。基于在低速和重型设备运行过程中产生的强大噪声和潜在故障的弱信号,提出了诸如油,振动和电流的参数,以通过获得初步结果进行检测和诊断。

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