A electrical facility that delivers power to a belt, which is widely used in the industry, has high torque and efficiency. However, a breakdown of the facility not only results in a loss of power to the load, but it also leads to the suspension of the entire process, which can result in significant maintenance costs. Though there are existing offline and online diagnosis methods to diagnose fault of belts, they have shortcomings in fault diagnosis. This paper presented diagnostic methods through vibration analysis and demonstrated diagnostic methods compared to the existing methods through experiments. The experimental results of the proposed method show that the system's reliability and efficiency can be improved by automatically and remotely and safely detecting defects in the belt based on the vibration measurement attached to the device.

在工业中广泛使用的向皮带输送动力的电气设备具有较高的扭矩和效率。然而，设施的故障不仅导致负载的功率损失，而且还导致整个过程的暂停，这可能导致可观的维护成本。尽管存在用于皮带故障的离线和在线诊断方法，但是它们在故障诊断中仍存在缺陷。本文通过振动分析提出了诊断方法，并通过实验证明了与现有方法相比的诊断方法。该方法的实验结果表明，通过基于设备的振动测量，自动，远程，安全地检测皮带中的缺陷，可以提高系统的可靠性和效率。