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.
与谱分析诊断结论比较后，得出了神经网络应用于齿轮传动装置故障诊断的可行性。
After comparing these conclusions with those obtained from the genealogy analysis, the availability of applying the BP to fault diagnosis was shown.
为了诊断单级传动齿轮副故障，本文提出信号周期分段处理的方法。
This thesis presented a technique for diagnosing gear pairs faults and introduced the procedure in detail.
所以，如果能及时地发现齿轮传动系统的早期故障，对经济合理地安排维修设备时间，避免发生重大人身、设备伤亡事故有着十分重要的意义。
Therefore, it is important how to defect the fault of geared system as possible to make the repair schedule reasonably and economically and to avoid the body hurt and device damage.
由于地铁齿轮传动装置安装隐蔽、结构复杂、难于拆卸，故障类型多而复杂，加之测试条件的限制，故障诊断难度相当大。
Due to concealment installation, complicated structure, difficult to remove, complex fault and limit test conditions, the fault diagnosis of gear transmission is extremely difficult.
齿轮箱是机械设备的重要传动部件，其故障诊断得到了广泛的重视。
Gearbox is the important transmission component in the mechanical equipments, so much attention has been given to the fault diagnosis technology for it.
齿轮箱是机械设备的重要传动部件，其故障诊断得到了广泛的重视。
Gearbox is the important transmission component in the mechanical equipments, so much attention has been given to the fault diagnosis technology for it.
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