| 基于BP网络的往复泵泵阀故障识别系统的研究 |
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| 引用本文： | 杨其俊,裴峻峰.基于BP网络的往复泵泵阀故障识别系统的研究[J].噪声与振动控制,1998(3):36-39. |
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| 作者姓名： | 杨其俊 裴峻峰 |
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| 作者单位： | 华东石油大学!山东东营(杨其俊)，江苏石油化工学院(裴峻峰)，新星石油公司华东石油地质局(魏国祥) |
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| 摘 要： | 本文基于BP神经网络模型，通过准确采集往复泵液力端各阀箱阀关闭激起的瞬态响应，并以响应的振动频谱为主要征兆，建立了基于BP网络往复泵泵阀故障的诊断系统。计算机模拟识别表明，该系统可较为准确地识别出各泵阀的故障。
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| 关 键 词： | BP神经网络 往复泵 泵阀 故障识别 |
Fault Diagnosis System on Pump Valves in a Reciprocating Pump with BP Neural Network |
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| Yang Qijun, Pei Junfeng, Wei Guoxiang.Fault Diagnosis System on Pump Valves in a Reciprocating Pump with BP Neural Network[J].Noise and Vibration Control,1998(3):36-39. |
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| Authors: | Yang Qijun Pei Junfeng Wei Guoxiang |
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| Abstract: | By accurately sampling the shock signals during a pump valve shutting and based on the symptom of its vibration spectrum on the pedestal body in a reciprocating pump. this paper establishes a fault diagnosis system on pump valves with BP neural network. Computer simulation shows that the system or software can be used to identify pump valve fault accurately. |
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| Keywords: | BP neural network reciprocating pump pump valve fault identification |
| 本文献已被 CNKI 维普 等数据库收录！ |
