| BP神经网络在齿轮箱故障诊断中的应用 |
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| 引用本文： | 杨树莲. BP神经网络在齿轮箱故障诊断中的应用[J]. 机床与液压, 2006, 0(7): 244-245,252 |
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| 作者姓名： | 杨树莲 |
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| 作者单位： | 山东工商学院信息与电子工程学院,山东,烟台,264005;海军航空工程学院电子工程系,山东,烟台,264001 |
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| 摘 要： | 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。经过地面模拟加载实验及井下验证，证明用人工神经网络可较好地预报机器故障，变被动维修为视情维修，可节省大量的设备维修费用，为合理安排生产计划及设备检修提供了可靠的依据。
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| 关 键 词： | BP神经网络 故障诊断 趋势预测 |
| 文章编号： | 1001-3881（2006）7-244-2 |
| 收稿时间： | 2005-05-16 |
| 修稿时间： | 2005-05-16 |
Fault Trend Prediction of Mining Machine Based on ANN |
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| YANG Shulian. Fault Trend Prediction of Mining Machine Based on ANN[J]. Machine Tool & Hydraulics, 2006, 0(7): 244-245,252 |
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| Authors: | YANG Shulian |
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| Affiliation: | 1. Information and Electronic Engineering College, Shandong Institute of Business and Technology, Yantai Shandong 264005, China; 2. Naval Aeronautical Engineering Academy, Yantai Shandong 264001, China |
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| Abstract: | 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. By the experiments of ground simulation and underground on - line test, it is proved that neural network is an effective method in fault prediction. By using ANN in fault prediction, passive maintenance can be replaced by predictive maintenance, and it can provide reliable basis for production schedule and equipment overhaul. |
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| Keywords: | BP neural network Fault diagnosis Trend prediction |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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