| 神经网络在往复泵活塞磨损故障诊断中的应用 |
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| 引用本文： | 杨其俊,裴峻峰,田佳禾.神经网络在往复泵活塞磨损故障诊断中的应用[J].中国石油大学学报(自然科学版),1998(5). |
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| 作者姓名： | 杨其俊 裴峻峰 田佳禾 |
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| 作者单位： | 石油大学机械系 |
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| 基金项目： | 石油大学（华东）校科研基金 |
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| 摘 要： | 对用人工神经网络识别往复泵活塞磨损故障进行了研究。以在往复泵缸套压盖上采集的振动信号的振动功率谱为主要征兆，建立了基于人工神经网络的往复泵活塞磨损故障诊断系统。计算机模拟识别表明，运用该系统可较为准确地判别出活塞的磨损（破损）故障。
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| 关 键 词： | 神经网络 往复泵 活塞 故障分析 |
FAILURE DIAGNOSIS OF WORN PISTON IN RECIPROCATING PUMP WITH ARTIFICIAL NEURAL NETWORK |
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| Yang Qijun.FAILURE DIAGNOSIS OF WORN PISTON IN RECIPROCATING PUMP WITH ARTIFICIAL NEURAL NETWORK[J].Journal of China University of Petroleum,1998(5). |
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| Authors: | Yang Qijun |
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| Institution: | Dongying: 257062 |
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| Abstract: | This paper makes an approach on application of artificial neural network to the failure diagnosis of the worn piston in reciprocating pump. By sampling the vibration signals on the fixed platen of the pump cylinder, and based on the vibration spectrum symptom, a failure diagnosis system for worn piston in reciprocating pump is developed with artificial neural network. Computer simulation shows that the system and software can be used to identify the failure of worn piston accurately. |
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| Keywords: | neural network reciprocating pump piston fault analysis |
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