基于小波变换的磁悬浮直线电机故障诊断研究

在井下开发应用中,随着大量的井下电机泵应用,类似于石油等领域的应用.然而这些井下安装的机械设备工作环境恶劣,因此极易出现故障,甚至威胁生产安全.因此需要井下机械设备必须采用早期故障诊断来进行故障的预测,以达到减小损失的目的.井下油气开采领域大量采用的磁悬浮井下采油泵提高了采油的效率,对这种新型采油设备的间接故障检测手段几乎没有,通过间接的测试方法对井下磁悬浮直线电机进行故障检测.提出声学振动以及改进小波分析的方法对井下磁悬浮直线电机泵进行故障检测,通过分析,井下声传播信道的传播特点,得到声学信道特征,从而分析故障信号的传播通路,然后通过改进小波故障分析算法对故障进行分析识别,最终得出磁悬浮直线电机泵检测方法,通过试验,证实该方法具有较好的应用前景.

Research of maglev linear motor fault fetection based on wavelet

Underground development applications,a large number of downhole motors pump large number of applications,similar to oil and other fields of application.However,these harsh downhole mechanical equipment installation work environment,and therefore prone to failure,and sometimes even threaten production safety,and security.Requiring mechanical equipment must be used for fault diagnosis of early failure prediction,in order to achieve the purpose of reducing the loss.Currently in the field of oil and gas underground maglev uses a lot of oil underground mining to improve the efficiency of the pump,however indirect means of this new type of fault detection devices almost no oil needed by indirect testing methods for underground maglev linear motor fault detection.This paper presents acoustic vibration and improved wavelet analysis method for underground maglev linear motor pump fault detection,through analysis,dissemination characteristics of the underground sound propagation channels,get the acoustic channel characteristics,eventually come maglev linear motor pump detection method by testing confirmed that the method has good application prospects.