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机构地区:[1]东北石油大学电子科学学院,黑龙江大庆163318 [2]黑龙江省高校校企共建测试计量技术及仪器仪表工程研发中心,黑龙江大庆163318
出 处:《自动化与仪器仪表》2017年第12期162-164,共3页Automation & Instrumentation
基 金:东北石油大学培育基金项目“输油泵机组整体运行噪声产生机理及其特性分析”(py120226);黑龙江自然科学基金项目资助(F201227)
摘 要:针对输油泵故障在线实时监测过程中实现汽蚀故障初期状态的精准判别,需要依据具体机组汽蚀噪声特征确定汽蚀故障初期噪声比对分析样本。为此,提出基于特征频率分析的输油泵汽蚀故障初期噪声样本合成方法。本文依据在石油集输生产现场采集FS100-65-200机组运行噪声样本中捕捉汽蚀故障初期噪声频谱,按幅值递减方式从中提取前N个单频信号,以此为基准基于Lab VIEW实现汽蚀故障初期噪声样本合成。试验证明,合成频率给定值调整步长为1Hz,给定频率与基准频率最大偏差0.32Hz,对应合成信号与基准信号幅值占比相对误差最大值1.90%,该方法针对不同型号输油泵机组具有可重复性和现实可操作性。To achieve on-line, real-time, early stage cavitation fault monitoring for the oil pump, a new methodology using the noise sample synthesis of early stage oil pump cavitation is proposed based on characteristic frequency analysis. This methodology is based on the faulty noise variation mechanism of the cavitation, the noise sample was collected from the FS100-65-200 transport oil pump unit while it was in stage of oil production, the first N single frequency characteristic waves which had the greatest magnitude were extracted from the noise sample. It is manually synthesized through the LabVIEW transmission noise synthesis instrument. The extracting the characteristic frequency of the cavitation fault. It is proved that this methodology is repeatable and practical for different types of oil pump unit through experiments. The adjustment length/width of the given frequency is 1 Hz. The maximum deviation of the frequency is O. 32Hz. The relative error of the frequency synthesizer is 1.90 %.
分 类 号:TH89[机械工程—仪器科学与技术]
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