介绍了BP网络的原理、算法，并用BP网络对采煤机截割部齿轮箱机械传动系统的故障进行了趋势预测。
The theory and algorithm of BP neural network were introduced, and it was used in the fault trend prediction for cutting part transmission system of mining machine.
本文研究了某减速器的振动故障，发现并研究了其中介传动齿轮的耦联共振。
The vibration fault of a reducer is analyzed. A kind of coupled resonance of the intermediate transmission gear is discovered.
它具有功率范围大，传动效率高，传动比正确，使用寿命长等特点，但从零件失效的情况来看，齿轮也是最容易出故障的零件之一。
It has big power range, high transmission efficiency and transmission ratio correctly, long using life, etc, but from the failure parts, gear is the most vulnerable parts of the fault.
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