CN111649921A - A rotating machinery fault diagnosis and testing system and working method - Google Patents

A rotating machinery fault diagnosis and testing system and working method Download PDF

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CN111649921A
CN111649921A CN202010284705.6A CN202010284705A CN111649921A CN 111649921 A CN111649921 A CN 111649921A CN 202010284705 A CN202010284705 A CN 202010284705A CN 111649921 A CN111649921 A CN 111649921A
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rotor
vibration
rubbing
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杨奕
任晓琳
高龙
顾海勤
于婧雅
韩青青
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Nantong University
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    • G01MTESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
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    • G01MEASURING; TESTING
    • G01HMEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
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Abstract

本发明公开了一种旋转机械故障诊断测试系统,为滑动轴承支承的单圆盘转子系统的实验台,所实验台是由安装板、电机、单圆盘转子、滑动轴承、碰磨装置组成,还包括检测装置,所述检测装置是由X方向电涡传感器、Y方向电涡传感器、数据采集卡、计算机组成,所述X方向电涡传感器、Y方向电涡传感器、压电传感器与数据采集卡连接,所述数据采集卡与计算机相互连通;通过碰摩装置与单圆盘转子接触形成相处阻力,以改变X方向电涡传感器、Y方向电涡传感器采集的信号,所述计算机中设有虚拟模拟器软件对数据采集卡发送过来的数据进行处理分析,增加了检测装置的旋转机械故障检测系统,相对于传统的测试仪器,测试精度更高。The invention discloses a fault diagnosis and testing system for rotating machinery, which is an experimental bench of a single-disc rotor system supported by a sliding bearing. It also includes a detection device, which is composed of an X-direction eddy sensor, a Y-direction eddy sensor, a data acquisition card, and a computer. The X-direction eddy sensor, Y-direction eddy sensor, piezoelectric sensor and data acquisition The card is connected, and the data acquisition card is communicated with the computer; mutual resistance is formed through the contact between the rubbing device and the single disc rotor, so as to change the signals collected by the X-direction eddy sensor and the Y-direction eddy sensor. The computer is provided with The virtual simulator software processes and analyzes the data sent by the data acquisition card, and adds a rotating machinery fault detection system of the detection device. Compared with the traditional test instrument, the test accuracy is higher.

Description

一种旋转机械故障诊断测试系统及工作方法A rotating machinery fault diagnosis and testing system and working method

技术领域technical field

本发明属于机械领域,具体涉及一种旋转机械故障诊断测试系统及工作方法。The invention belongs to the field of machinery, and in particular relates to a fault diagnosis and testing system for rotating machinery and a working method.

背景技术Background technique

旋转机械故障诊断是设备故障诊断中重要的一部分。随着旋转机设备大型化、高速化、连续化和自动化的发展,对设备管理与维修人员的素质要求也越来越高。保证高效、安全生产,减少因故障引起的停机时间,是企业提高经济效益和社会效益的前提,而设备状态监测与故障诊断技术将为此提供一个有效的解决途径。Rotating machinery fault diagnosis is an important part of equipment fault diagnosis. With the development of large-scale, high-speed, continuous and automatic rotating machine equipment, the quality requirements for equipment management and maintenance personnel are also getting higher and higher. Ensuring efficient and safe production and reducing downtime caused by faults are the prerequisites for enterprises to improve economic and social benefits, and equipment condition monitoring and fault diagnosis technology will provide an effective solution for this.

旋转机械转动部件与静止部件的碰摩是运行中常见故障。碰摩行为使转子产生非常复杂的运动。因此,监测旋转机械的工作状态,对振动故障进行准确分析诊断,早期发现设备的故障并探知其产生的原因对确保设备的安全稳定运行,防止重大事故发生具有重要意义。为了深入探讨旋转机械的早期碰摩故障特征,搭建滑动轴承支承的单圆盘转子系统的实验台,运用电涡流传感器和虚拟仪器构成旋转机械碰摩检测系统,对转子的振动信号进行在线时域分析和频谱分析,并利用故障的种种特征信息对旋转机械设备进行故障诊断,可有效地提高故障诊断的准确性。The rubbing between rotating parts and stationary parts of rotating machinery is a common fault in operation. The rubbing behavior produces very complex movements of the rotor. Therefore, monitoring the working state of rotating machinery, accurately analyzing and diagnosing vibration faults, and early detection of equipment faults and their causes are of great significance to ensure the safe and stable operation of equipment and prevent major accidents. In order to deeply explore the early rubbing fault characteristics of rotating machinery, an experimental bench for a single-disk rotor system supported by sliding bearings was built, and eddy current sensors and virtual instruments were used to form a rotating machinery rubbing detection system. Analysis and spectrum analysis, and use of various characteristic information of faults to diagnose faults of rotating machinery equipment can effectively improve the accuracy of fault diagnosis.

发明内容SUMMARY OF THE INVENTION

发明目的:本发明的目的是为了解决现有技术中的不足,将检测装置技术引入旋转机械故障检测系统中,运用软件和电涡流传感器作为软硬件平台,检测旋转机械振动信号,通过对振动信号的时域波形、频谱、转子轴心运动轨迹等综合特征量进行分析处理,由此可以准确判断旋转机械的故障,通过检测装置的使用,提高了故障诊断的准确性。Purpose of the invention: The purpose of the present invention is to solve the deficiencies in the prior art, introduce the detection device technology into the rotating machinery fault detection system, use the software and the eddy current sensor as the software and hardware platform, detect the vibration signal of the rotating machinery, and detect the vibration signal of the rotating machinery. The time domain waveform, frequency spectrum, rotor axis motion trajectory and other comprehensive feature quantities are analyzed and processed, so that the fault of the rotating machinery can be accurately judged. The use of the detection device improves the accuracy of fault diagnosis.

技术方案:本发明所述的一种旋转机械故障诊断测试系统,为滑动轴承支承的单圆盘转子系统的实验台,所实验台是由安装板、电机、单圆盘转子、滑动轴承、碰磨装置组成,所述电机安装在安装板上,所述滑动轴承设置在单圆盘转子两端,滑动轴承通过轴承座安装在安装板上,其中单圆盘转子的一端与电机输出轴连接,使电机输出轴、单圆盘转子的转轴、滑动轴承位于同一轴线上,所述碰摩装置设置在单圆盘转子周围,还包括检测装置,所述检测装置是由X方向电涡传感器、Y方向电涡传感器、数据采集卡、计算机组成,所述X方向电涡传感器、Y方向电涡传感器分别设置在单圆盘转子一侧,使同一个平面上的X方向电涡传感器、Y方向电涡传感器相互垂直,所述X方向电涡传感器、Y方向电涡传感器与数据采集卡连接,所述数据采集卡与计算机相互连通;通过碰摩装置与单圆盘转子接触形成相处阻力,以改变X方向电涡传感器、Y方向电涡传感器采集的信号,所述计算机中设有虚拟模拟器软件对数据采集卡发送过来的数据进行处理分析。Technical solution: The fault diagnosis and testing system for rotating machinery described in the present invention is an experimental bench for a single-disc rotor system supported by sliding bearings. The grinding device is composed of the motor mounted on the mounting plate, the sliding bearings are arranged on both ends of the single disc rotor, the sliding bearings are mounted on the mounting plate through the bearing seat, and one end of the single disc rotor is connected with the output shaft of the motor, The output shaft of the motor, the rotating shaft of the single-disc rotor and the sliding bearing are located on the same axis, the friction device is arranged around the single-disc rotor, and a detection device is also included. The detection device is composed of X-direction eddy sensors, Y The direction eddy sensor, the data acquisition card, and the computer are composed. The X-direction eddy sensor and the Y-direction eddy sensor are respectively arranged on one side of the single disc rotor, so that the X-direction eddy sensor and the Y-direction electric eddy sensor on the same plane are The eddy sensors are perpendicular to each other, the X-direction eddy sensor and the Y-direction eddy sensor are connected with a data acquisition card, and the data acquisition card is communicated with the computer; mutual resistance is formed by contacting the rubbing device with the single-disc rotor to change the For the signals collected by the X-direction eddy sensor and the Y-direction eddy sensor, the computer is provided with virtual simulator software to process and analyze the data sent by the data acquisition card.

进一步的,所述碰磨装置是由螺栓与固定座组成,所述固定座安装在安装板上,位于单圆盘转子一侧,固定座上设有通孔,所述螺栓安装在通孔中,使螺栓的指向与单圆盘转子的轴线重合。Further, the rubbing device is composed of a bolt and a fixing seat, the fixing seat is installed on the mounting plate, located on one side of the single disc rotor, the fixing seat is provided with a through hole, and the bolt is installed in the through hole. , so that the direction of the bolt coincides with the axis of the single-disk rotor.

一种旋转机械故障诊断测试系统工作方法,其工作方法依据技术机中的软件,具体如下:软件设计通过使用LabVIEW编程语言在Windows XP系统上构建,在该软件平台上,设置前面板上参数控制数据采集卡进行数据采集,通过软件系统对采集数据分析处理,程序中使用 AI Acquire Waveforms函数同时采集两个传感器传入的数据,运用Index Array函数分别将两路信号引入;将信号经滤波处理后,水平和垂直方向的信号分别送到Graph控件显示波形图,同时将两个方向的信号叠加在一个XY Graph控件上显示,即可得出转子的轴心轨迹图;并应用LabVIEW软件对信号进行时域和频域的波形特征分析,由此对旋转机械的碰摩故障进行识别和诊断,主要是对单圆盘转子碰摩振动信号的时域波形特征、碰摩振动时的单圆盘转子轴心运动轨迹参数、振动频谱对碰摩故障进行识别与诊断。A working method of a fault diagnosis and testing system for rotating machinery, the working method is based on software in a technical machine, and the details are as follows: the software design is constructed on a Windows XP system by using the LabVIEW programming language, and on the software platform, the front panel parameter control is set. The data acquisition card is used for data acquisition, and the acquired data is analyzed and processed through the software system. The AI Acquire Waveforms function is used in the program to collect the data from two sensors at the same time, and the Index Array function is used to introduce the two signals respectively; , the signals in the horizontal and vertical directions are respectively sent to the Graph control to display the waveform diagram. At the same time, the signals in the two directions are superimposed on an XY Graph control for display, and the axis trajectory diagram of the rotor can be obtained; and the LabVIEW software is used to analyze the signals. Waveform characteristic analysis in time domain and frequency domain to identify and diagnose rubbing faults of rotating machinery The shaft center motion trajectory parameters and vibration spectrum are used to identify and diagnose rubbing faults.

进一步的,所述时域波形是振动参量随时间变化的关系曲线,旋转机械正常运转时,理想工况下的振动信号时域波形为平滑的正弦曲线,软件实时采集的X方向和Y方向转子振动波形,如图2,从时域波形可以判断,转子发生了动静碰摩;X轴和Y轴方向原来的正弦信号上叠加了高频成分,波形不稳定,Y轴方向的振动波形则存在明显的削波,波形发生畸变,说明转子的动静碰摩比较严重,尤其Y轴方向转子碰摩更甚,由于在该方向碰摩处限制了转子的位移,因此振动波形的“顶峰”消失,变得更“平坦”;迹象表明单圆盘转子已进入中期磨损阶段;为了探究转子发生碰摩故障的原因,同时采集碰摩振动时的单圆盘转子轴心运动轨迹参数,对其时域波形特征进行全面分析。Further, the time-domain waveform is the relationship curve of the vibration parameter changing with time. When the rotating machinery is in normal operation, the time-domain waveform of the vibration signal under ideal conditions is a smooth sinusoidal curve, and the X-direction and Y-direction rotors collected by the software in real time The vibration waveform, as shown in Figure 2, can be judged from the time domain waveform that the rotor has undergone dynamic and static rubbing; high-frequency components are superimposed on the original sinusoidal signals in the X-axis and Y-axis directions, and the waveform is unstable, while the vibration waveform in the Y-axis direction exists. Obvious clipping and distortion of the waveform indicate that the dynamic and static rubbing of the rotor is more serious, especially the rotor rubbing in the Y-axis direction. Since the displacement of the rotor is limited at the rubbing position in this direction, the "peak" of the vibration waveform disappears. It becomes more "flat"; the signs indicate that the single-disc rotor has entered the mid-term wear stage; in order to explore the reasons for the rubbing failure of the rotor, the axis motion trajectory parameters of the single-disc rotor during the rubbing vibration are collected, and the time domain The waveform characteristics are fully analyzed.

进一步的,所述采集碰摩振动时的单圆盘转子轴心运动轨迹参数,具体如下:Further, the single-disk rotor axis motion track parameters during the collection of rubbing vibration are as follows:

a、转子轴心运动轨迹特征a. Trajectory characteristics of rotor axis

单圆盘转子轴心运动轨迹特征轴心轨迹的获得是利用转轴同一平面内相互垂直的X方向电涡传感器、Y方向电涡传感器同时采集数据,通过软件LabVIEW的代码程序以X方向电传感器数据为横坐标、Y方向数据为纵坐标绘制图形;The shaft center trajectory is obtained by using the X-direction eddy sensor and the Y-direction eddy sensor that are perpendicular to each other in the same plane of the rotating shaft to collect data at the same time. Draw a graph for the abscissa and the Y direction data as the ordinate;

单圆盘转子产生涡动运动的原因可能是转子不平衡、对中不良、动静碰摩;不同原因引起的涡动轨迹是不相同的,由此也显示不同的转子轴心相对于轴承座的运动轨迹;旋转机械正常运行时,振动信号时域波形为正弦曲线;设两个互相垂直的正弦信号的数学表达式为The reasons for the whirl motion of the single-disc rotor may be rotor unbalance, poor alignment, and static and dynamic rubbing; the whirl trajectories caused by different reasons are not the same, which also shows that different rotor shafts are relative to the bearing seat. Motion trajectory; when the rotating machinery is in normal operation, the time-domain waveform of the vibration signal is a sine curve; the mathematical expression of two mutually perpendicular sine signals is

x(t)=Axcos(ωxt+φx)=Axcos(2πfxt+φx) (1)x(t)=A x cos(ω x t+φ x )=A x cos(2πf x t+φ x ) (1)

y(t)=Aycos(ωyt+φy)=Aycos(2πfyt+φy) (2)y(t)=A y cos(ω y t+φy)=A y cos(2πf y t+φ y ) (2)

当二个正弦周期信号的频率相同时,即fx=fy时,轨迹一般是椭圆;由(1)、(2)式得When the frequencies of the two sinusoidal periodic signals are the same, that is, f x =f y , the trajectory is generally an ellipse;

Figure RE-GDA0002565829830000031
Figure RE-GDA0002565829830000031

在软件平台上应用XY Graph显示里萨如图形来测出转子轴心轨迹,并由此判断转子运行状态和故障状态;根据里萨如图形的原理,如果X和Y方向的两个数组分别按正弦规律变化,其中,假设其数据点数、幅值和频率都相同,当他们之间的相位差等于90°时为圆,由此可知,如转子无碰摩故障,则在理想工况下,轴心运行轨迹应为圆形;假设Ax≠Ay,即转子x方向和y方向的振幅不相等时,则显示的图形为椭圆形;Apply XY Graph on the software platform to display the Lissajous graph to measure the rotor axis trajectory, and judge the rotor running state and fault state from this; The sine law changes, among which, assuming that the number of data points, amplitude and frequency are the same, when the phase difference between them is equal to 90°, it is a circle. It can be seen that if the rotor has no rubbing fault, under ideal conditions, The running track of the shaft center should be a circle; if A x ≠ A y , that is, when the amplitudes of the rotor in the x and y directions are not equal, the displayed figure is an ellipse;

旋转机械在发生振动故障时,时域波形发生畸变,而非正弦曲线,所以轴心运动轨迹并非圆形;When a vibration fault occurs in a rotating machine, the time domain waveform is distorted instead of a sinusoid, so the axis motion trajectory is not circular;

通过单圆盘转子在不同故障状态下运行时的一些典型轨迹图形、实验所测得小波包消噪后转子轴心运行轨迹图形、单圆盘转子轴心典型轨迹所映射的故障征兆表进行分析,再根据转子振动的时域波形已判断转子存在严重的碰摩故障,而轴心运行轨迹,则昭示了产生故障的原因;根据达郎伯原理,转子不平衡引起的转子轴心运动方程为The analysis is carried out through some typical trajectory patterns of the single-disc rotor running under different fault conditions, the experimentally measured rotor axis running trajectory patterns after wavelet packet de-noising, and the fault symptom table mapped by the typical trajectory of the single-disc rotor axis. , and then according to the time domain waveform of the rotor vibration, it has been judged that the rotor has a serious rubbing fault, and the axis running track shows the cause of the fault; according to the D'Alembert's principle, the rotor axis motion equation caused by the rotor unbalance is:

Figure RE-GDA0002565829830000032
Figure RE-GDA0002565829830000032

式中m为转子质量,c为转子旋转时的内外阻尼系数,k为轴的弯曲刚度,ζ为转子的偏心距,ω为转子旋转的角速度;where m is the mass of the rotor, c is the internal and external damping coefficient when the rotor rotates, k is the bending stiffness of the shaft, ζ is the eccentricity of the rotor, and ω is the angular velocity of the rotor rotating;

b、转子轴心径向位移量的测量b. Measurement of radial displacement of rotor shaft

单圆盘转子轴心径向振动位移值是判断转子碰摩故障严重程度最直观的数字量;当运行的转子发生径向振动时,其表面与电涡流传感器之间的距离随时间变化,传感器的输出电压也跟随改变;应用软件中LabVIEW的程序可以测量到转子表面距离传感器最小时的电压值和最大时的电压值,而峰峰值则是转子径向振动时的电压极值,其对应的非电量即为轴心的最大径向位移量;当运行的转子发生径向碰摩振动时,电涡流传感器输出电压跟随平面线圈与转子之间的距离成正比变化;The radial vibration displacement value of the shaft center of the single-disk rotor is the most intuitive digital quantity to judge the severity of the rotor rubbing fault; when the running rotor vibrates radially, the distance between its surface and the eddy current sensor changes with time, and the sensor The output voltage also changes accordingly; the LabVIEW program in the application software can measure the voltage value when the distance between the rotor surface is the smallest and the largest voltage value, and the peak-to-peak value is the voltage extreme value when the rotor vibrates radially, and its corresponding Non-electricity is the maximum radial displacement of the shaft center; when the running rotor has radial rubbing vibration, the output voltage of the eddy current sensor changes in direct proportion to the distance between the plane coil and the rotor;

利用软件中LabVIEW的Amplitude and levels.vi检测到电涡流传感器平面线圈距转子最远时的输出电压,显示实验数据电压值,距离最近时的实验数据为电压值,峰——峰值电压值;峰-峰值是电涡流传感器最大的电压输出变化量,运用电涡流传感器标定时准线性段的实测数据和LabVIEW的Linear Fit.vi求得最小二乘法拟合直线方程为Use Amplitude and levels.vi of LabVIEW in the software to detect the output voltage when the plane coil of the eddy current sensor is farthest from the rotor, display the voltage value of the experimental data, and the experimental data when the distance is the closest is the voltage value, peak-peak voltage value; -The peak value is the maximum voltage output change of the eddy current sensor. Using the measured data of the quasi-linear segment during the calibration of the eddy current sensor and the Linear Fit.vi of LabVIEW, the least squares fitting straight line equation is obtained as

y=6.11+0.91x (5)y=6.11+0.91x (5)

由此得到斜率为0.91,该数据亦为电涡流传感器的灵敏度,其数学表达式为From this, the slope is 0.91, which is also the sensitivity of the eddy current sensor, and its mathematical expression is

Figure RE-GDA0002565829830000041
Figure RE-GDA0002565829830000041

式中Δy为传感器电压输出增量,Δx为转子振动位移量。where Δy is the sensor voltage output increment, and Δx is the rotor vibration displacement.

利用式(6)就可以求得与其对应的轴心最大径向位移量,足以说明转子碰摩故障的严重程度。Using the formula (6), the maximum radial displacement of the shaft center corresponding to it can be obtained, which is enough to explain the severity of the rotor rubbing failure.

进一步的,所述转子振动频谱分析,具体如下:Further, the rotor vibration spectrum analysis is as follows:

为了准确判断故障振动频率,在频域上对检测信号作进一步的分析,旋转机械振动信号在多数情况下是由多种激励信号叠加的复杂信号,可以分解为一系列谐波分量,各谐波分量在线性系统中代表着相应频率激励的响应,每一谐波分量又包容幅值和相位特征量;In order to accurately judge the fault vibration frequency, the detection signal is further analyzed in the frequency domain. In most cases, the rotating machinery vibration signal is a complex signal superimposed by a variety of excitation signals, which can be decomposed into a series of harmonic components. The component represents the response of the corresponding frequency excitation in the linear system, and each harmonic component contains the amplitude and phase characteristic quantities;

利用LabVIEW设计的频谱分析程序,为了减少泄露效应,在对转子振动信号进行傅里叶变换前,对其使用窗函数加权,对实际振动频谱分析图进行分析,能清晰看到基频就是转子的旋转频率,与设定的转速完全吻合;2倍基频处有尖峰的显现,是转子发生碰摩的重要特征信号之一,说明转子轴向振动强于径向振动,符合综合碰摩振动故障的特征。Using the spectrum analysis program designed by LabVIEW, in order to reduce the leakage effect, before the Fourier transform of the rotor vibration signal, the window function is used to weight it, and the actual vibration spectrum analysis diagram is analyzed, and it can be clearly seen that the fundamental frequency is the rotor's The rotational frequency is exactly the same as the set rotational speed; there is a peak at twice the fundamental frequency, which is one of the important characteristic signals of rotor rubbing, indicating that the axial vibration of the rotor is stronger than the radial vibration, which is in line with the comprehensive rubbing vibration fault. Characteristics.

有益效果:本发明将检测装置技术引入旋转机械故障检测系统中,运用软件和电涡流传感器作为软硬件平台,检测旋转机械振动信号,通过对振动信号的时域波形、频谱、转子轴心运动轨迹等综合特征量进行分析处理,由此可以准确判断旋转机械的故障,通过检测装置的使用,提高了故障诊断的准确性;因此,增加了检测装置的旋转机械故障检测系统,相对于传统的测试仪器,测试精度高。Beneficial effects: The present invention introduces the detection device technology into the rotating machinery fault detection system, uses software and eddy current sensors as software and hardware platforms to detect the rotating machinery vibration signal, By analyzing and processing such comprehensive feature quantities, the faults of rotating machinery can be accurately judged, and the accuracy of fault diagnosis is improved through the use of the detection device; therefore, the rotating machinery fault detection system of the detection device is added, compared with the traditional test instrument with high test accuracy.

附图说明Description of drawings

图1为检测装置原理图;Figure 1 is a schematic diagram of the detection device;

图2为转子振动波形图;Fig. 2 is a rotor vibration waveform diagram;

图3为轴心轨迹图;Fig. 3 is the axis track diagram;

图4为小波包消噪程序图;Fig. 4 is the wavelet packet denoising procedure diagram;

图5为转子轴心径向振动位移测试界面图;Figure 5 is the interface diagram of the radial vibration displacement test of the rotor shaft;

图6为旋转机械振动频谱程序图;Fig. 6 is a rotating machinery vibration spectrum program diagram;

图7为转子振动频谱加海明窗图;Fig. 7 is the rotor vibration spectrum plus Hamming window diagram;

图8为机械振动检测仪的详细面板图;Figure 8 is a detailed panel view of the mechanical vibration detector;

图9为旋转机械故障诊断测试系统机械结构图;9 is a mechanical structure diagram of a rotating machinery fault diagnosis and testing system;

1、安装板;2、电机;3、单圆盘转子;4、滑动轴承;5、碰磨装置;6、X方向电涡传感器;7、Y方向电涡传感器。1. Mounting plate; 2. Motor; 3. Single disc rotor; 4. Sliding bearing; 5. Wearing device; 6. Eddy sensor in X direction; 7. Eddy sensor in Y direction.

具体实施方式Detailed ways

一种旋转机械故障诊断测试系统,为滑动轴承支承的单圆盘转子系统的实验台,所实验台是由安装板1、电机2、单圆盘转子3、滑动轴承4、碰磨装置5组成,所述电机2安装在安装板1上,所述滑动轴承4设置在单圆盘转子3两端,滑动轴承4通过轴承座安装在安装板1上,其中单圆盘转子3的一端与电机2输出轴连接,使电机2输出轴、单圆盘转子3的转轴、滑动轴承4位于同一轴线上,所述碰摩装置5设置在单圆盘转子周围,还包括检测装置,所述检测装置是由X方向电涡传感器6、Y方向电涡传感器7、数据采集卡、计算机组成,所述X方向电涡传感器6、Y方向电涡传感器7分别设置在单圆盘转子一侧,使同一个平面上的X方向电涡传感器6、Y方向电涡传感器7相互垂直,所述X方向电涡传感器6、Y 方向电涡传感器7与数据采集卡连接,所述数据采集卡与计算机相互连通;通过碰摩装置5 与单圆盘转子3接触形成相处阻力,以改变X方向电涡传感器6、Y方向电涡传感器7采集的信号,所述计算机中设有虚拟模拟器软件对数据采集卡发送过来的数据进行处理分析;其中所测的旋转机械转子的直径为20.00mm,偏心距0.2mm,在y轴方向上下各设立一个碰摩装置,位移量可调节,以便模拟单点或双点碰摩故障。碰摩信号的采集由PCI-6024E采集卡完成,设定采样点数1000点,转子转速为2340r/min,试验转频为39Hz。A fault diagnosis and testing system for rotating machinery is an experimental bench for a single disc rotor system supported by a sliding bearing. , the motor 2 is mounted on the mounting plate 1, the sliding bearings 4 are arranged on both ends of the single disc rotor 3, the sliding bearings 4 are mounted on the mounting plate 1 through the bearing seat, and one end of the single disc rotor 3 is connected to the motor 2. The output shafts are connected, so that the output shaft of the motor 2, the rotating shaft of the single-disk rotor 3, and the sliding bearing 4 are located on the same axis. The rubbing device 5 is arranged around the single-disk rotor, and also includes a detection device. The detection device It is composed of X-direction eddy sensor 6, Y-direction eddy sensor 7, data acquisition card, and computer. The X-direction eddy sensor 6 and the Y-direction eddy sensor 7 on a plane are perpendicular to each other, and the X-direction eddy sensor 6 and the Y-direction eddy sensor 7 are connected to a data acquisition card, and the data acquisition card is communicated with a computer. By contacting the rubbing device 5 with the single disc rotor 3 to form mutual resistance, to change the signals collected by the X-direction eddy sensor 6 and the Y-direction eddy sensor 7, the computer is provided with virtual simulator software to the data acquisition card The data sent is processed and analyzed; the diameter of the rotating machinery rotor measured is 20.00mm, the eccentricity is 0.2mm, and a rubbing device is set up in the y-axis direction, and the displacement can be adjusted to simulate single or double points. Rubbing failure. The acquisition of the rubbing signal is completed by the PCI-6024E acquisition card, the number of sampling points is set to 1000, the rotor speed is 2340r/min, and the test frequency is 39Hz.

进一步的,所述碰磨装置是由螺栓与固定座组成,所述固定座安装在安装板上,位于单圆盘转子一侧,固定座上设有通孔,所述螺栓安装在通孔中,使螺栓的指向与单圆盘转子的轴线重合;Further, the rubbing device is composed of a bolt and a fixing seat, the fixing seat is installed on the mounting plate, located on one side of the single disc rotor, the fixing seat is provided with a through hole, and the bolt is installed in the through hole. , so that the direction of the bolt coincides with the axis of the single disc rotor;

一种旋转机械故障诊断测试系统工作方法,其工作方法依据技术机中的软件,具体如下:软件设计通过使用LabVIEW编程语言在Windows XP系统上构建,在该软件平台上,设置前面板上参数控制数据采集卡进行数据采集,通过软件系统对采集数据分析处理,程序中使用 AI Acquire Waveforms函数同时采集两个传感器传入的数据,运用Index Array函数分别将两路信号引入;将信号经滤波处理后,水平和垂直方向的信号分别送到Graph控件显示波形图,同时将两个方向的信号叠加在一个XY Graph控件上显示,即可得出转子的轴心轨迹图;并应用LabVIEW软件对信号进行时域和频域的波形特征分析,由此对旋转机械的碰摩故障进行识别和诊断,主要是对单圆盘转子碰摩振动信号的时域波形特征、碰摩振动时的单圆盘转子轴心运动轨迹参数、振动频谱对碰摩故障进行识别与诊断。A working method of a fault diagnosis and testing system for rotating machinery, the working method is based on software in a technical machine, and the details are as follows: the software design is constructed on a Windows XP system by using the LabVIEW programming language, and on the software platform, the front panel parameter control is set. The data acquisition card is used for data acquisition, and the acquired data is analyzed and processed through the software system. The AI Acquire Waveforms function is used in the program to collect the data from two sensors at the same time, and the Index Array function is used to introduce the two signals respectively; , the signals in the horizontal and vertical directions are respectively sent to the Graph control to display the waveform diagram. At the same time, the signals in the two directions are superimposed on an XY Graph control for display, and the axis trajectory diagram of the rotor can be obtained; and the LabVIEW software is used to analyze the signals. Waveform characteristic analysis in time domain and frequency domain to identify and diagnose rubbing faults of rotating machinery The shaft center motion trajectory parameters and vibration spectrum are used to identify and diagnose rubbing faults.

进一步的,所述时域波形是振动参量随时间变化的关系曲线,旋转机械正常运转时,理想工况下的振动信号时域波形为平滑的正弦曲线,软件实时采集的X方向和Y方向转子振动波形,如图2,从时域波形可以判断,转子发生了动静碰摩;X轴和Y轴方向原来的正弦信号上叠加了高频成分,波形不稳定,Y轴方向的振动波形则存在明显的削波,波形发生畸变,说明转子的动静碰摩比较严重,尤其Y轴方向转子碰摩更甚,由于在该方向碰摩处限制了转子的位移,因此振动波形的“顶峰”消失,变得更“平坦”;迹象表明单圆盘转子已进入中期磨损阶段;为了探究转子发生碰摩故障的原因,同时采集碰摩振动时的单圆盘转子轴心运动轨迹参数,对其时域波形特征进行全面分析。Further, the time-domain waveform is the relationship curve of the vibration parameter changing with time. When the rotating machinery is in normal operation, the time-domain waveform of the vibration signal under ideal conditions is a smooth sinusoidal curve, and the X-direction and Y-direction rotors collected by the software in real time The vibration waveform, as shown in Figure 2, can be judged from the time domain waveform that the rotor has undergone dynamic and static rubbing; high-frequency components are superimposed on the original sinusoidal signals in the X-axis and Y-axis directions, and the waveform is unstable, while the vibration waveform in the Y-axis direction exists. Obvious clipping and distortion of the waveform indicate that the dynamic and static rubbing of the rotor is more serious, especially the rotor rubbing in the Y-axis direction. Since the displacement of the rotor is limited at the rubbing position in this direction, the "peak" of the vibration waveform disappears. It becomes more "flat"; the signs indicate that the single-disc rotor has entered the mid-term wear stage; in order to explore the reasons for the rubbing failure of the rotor, the axis motion trajectory parameters of the single-disc rotor during the rubbing vibration are collected, and the time domain The waveform characteristics are fully analyzed.

进一步的,所述采集碰摩振动时的单圆盘转子轴心运动轨迹参数,具体如下:Further, the single-disk rotor axis motion track parameters during the collection of rubbing vibration are as follows:

a、转子轴心运动轨迹特征a. Trajectory characteristics of rotor axis

单圆盘转子轴心运动轨迹特征轴心轨迹的获得是利用转轴同一平面内相互垂直的X方向电涡传感器、Y方向电涡传感器同时采集数据,通过软件LabVIEW的代码程序以X方向电传感器数据为横坐标、Y方向数据为纵坐标绘制图形;The shaft center trajectory is obtained by using the X-direction eddy sensor and the Y-direction eddy sensor that are perpendicular to each other in the same plane of the rotating shaft to collect data at the same time. Draw a graph for the abscissa and the Y direction data as the ordinate;

单圆盘转子产生涡动运动的原因可能是转子不平衡、对中不良、动静碰摩;不同原因引起的涡动轨迹是不相同的,由此也显示不同的转子轴心相对于轴承座的运动轨迹;旋转机械正常运行时,振动信号时域波形为正弦曲线;设两个互相垂直的正弦信号的数学表达式为The reasons for the whirl motion of the single-disc rotor may be rotor unbalance, poor alignment, and static and dynamic rubbing; the whirl trajectories caused by different reasons are not the same, which also shows that different rotor shafts are relative to the bearing seat. Motion trajectory; when the rotating machinery is in normal operation, the time-domain waveform of the vibration signal is a sine curve; the mathematical expression of two mutually perpendicular sine signals is

x(t)=Axcos(ωxt+φx)=Axcos(2πfxt+φx) (1)x(t)=A x cos(ω x t+φ x )=A x cos(2πf x t+φ x ) (1)

y(t)=Aycos(ωyt+φy)=Aycos(2πfyt+φy) (2)y(t)=A y cos(ω y t+φ y )=A y cos(2πf y t+φ y ) (2)

当二个正弦周期信号的频率相同时,即fx=fy时,轨迹一般是椭圆;由(1)、(2)式得When the frequencies of the two sinusoidal periodic signals are the same, that is, f x =f y , the trajectory is generally an ellipse;

Figure RE-GDA0002565829830000061
Figure RE-GDA0002565829830000061

在软件平台上应用XY Graph显示里萨如图形来测出转子轴心轨迹,并由此判断转子运行状态和故障状态;根据里萨如图形的原理,如果X和Y方向的两个数组分别按正弦规律变化,其中,假设其数据点数、幅值和频率都相同,当他们之间的相位差等于90°时为圆,由此可知,如转子无碰摩故障,则在理想工况下,轴心运行轨迹应为圆形;假设Ax≠Ay,即转子x方向和y方向的振幅不相等时,则显示的图形为椭圆形;Apply XY Graph on the software platform to display the Lissajous graph to measure the rotor axis trajectory, and judge the rotor running state and fault state from this; The sine law changes, among which, assuming that the number of data points, amplitude and frequency are the same, when the phase difference between them is equal to 90°, it is a circle. It can be seen that if the rotor has no rubbing fault, under ideal conditions, The running track of the shaft center should be a circle; if A x ≠ A y , that is, when the amplitudes of the rotor in the x and y directions are not equal, the displayed figure is an ellipse;

旋转机械在发生振动故障时,时域波形发生畸变,而非正弦曲线,所以轴心运动轨迹并非圆形;通过如图3所示(a)、(b)、(c)、(d)、(e)是转子在种种故障状态下运行时的一些典型轨迹图形;When a vibration fault occurs in a rotating machine, the time-domain waveform is distorted instead of a sinusoid, so the axis motion trajectory is not a circle; (e) are some typical trajectory patterns of the rotor when it runs under various fault conditions;

表1Table 1

Figure RE-GDA0002565829830000062
Figure RE-GDA0002565829830000062

Figure RE-GDA0002565829830000071
Figure RE-GDA0002565829830000071

如图单圆盘转子轴心典型轨迹所映射的故障征兆表,如表1所示;如图4所示实验所测得小波包消噪后转子轴心运行轨迹图形进行分析,再根据转子振动的时域波形已判断转子存在严重的碰摩故障,而轴心运行轨迹,则昭示了产生故障的原因;根据达郎伯原理,转子不平衡引起的转子轴心运动方程为The fault symptom table mapped by the typical trajectory of the rotor axis of a single disc is shown in Table 1; as shown in Figure 4, the running trajectory of the rotor axis after wavelet packet de-noising measured in the experiment is analyzed, and then according to the rotor vibration The time-domain waveform of , has judged that the rotor has a serious rubbing fault, and the axis running track indicates the cause of the fault; according to D'Alembert's principle, the rotor axis motion equation caused by rotor unbalance is:

Figure RE-GDA0002565829830000072
Figure RE-GDA0002565829830000072

式中m为转子质量,c为转子旋转时的内外阻尼系数,k为轴的弯曲刚度,ζ为转子的偏心距,ω为转子旋转的角速度;where m is the mass of the rotor, c is the internal and external damping coefficient when the rotor rotates, k is the bending stiffness of the shaft, ζ is the eccentricity of the rotor, and ω is the angular velocity of the rotor rotating;

b、转子轴心径向位移量的测量b. Measurement of radial displacement of rotor shaft

单圆盘转子轴心径向振动位移值是判断转子碰摩故障严重程度最直观的数字量;当运行的转子发生径向振动时,其表面与电涡流传感器之间的距离随时间变化,传感器的输出电压也跟随改变;应用软件中LabVIEW的程序可以测量到转子表面距离传感器最小时的电压值和最大时的电压值,而峰峰值则是转子径向振动时的电压极值,其对应的非电量即为轴心的最大径向位移量;当运行的转子发生径向碰摩振动时,电涡流传感器输出电压跟随平面线圈与转子之间的距离成正比变化;设计转子轴心径向振动位移测试界面如图5所示。The radial vibration displacement value of the shaft center of the single-disk rotor is the most intuitive digital quantity to judge the severity of the rotor rubbing fault; when the running rotor vibrates radially, the distance between its surface and the eddy current sensor changes with time, and the sensor The output voltage also changes accordingly; the LabVIEW program in the application software can measure the voltage value when the distance between the rotor surface is the smallest and the largest voltage value, and the peak-to-peak value is the voltage extreme value when the rotor vibrates radially, and its corresponding Non-electricity is the maximum radial displacement of the shaft center; when the running rotor has radial rubbing vibration, the output voltage of the eddy current sensor changes in direct proportion to the distance between the plane coil and the rotor; the radial vibration of the rotor shaft center is designed The displacement test interface is shown in Figure 5.

利用软件中LabVIEW的Amplitude and levels.vi检测到电涡流传感器平面线圈距转子最远时的输出电压,前面板显示实验数据为8.24v,距离最近时的实验数据为6.62v,峰——峰值1.62v。峰-峰值1.62v是电涡流传感器最大的电压输出变化量,运用电涡流传感器标定时准线性段的实测数据和LabVIEW的Linear Fit.vi求得最小二乘法拟合直线方程为Use Amplitude and levels.vi of LabVIEW in the software to detect the output voltage of the eddy current sensor plane coil when it is farthest from the rotor. The front panel shows the experimental data is 8.24v, the experimental data when the distance is the closest is 6.62v, and the peak-to-peak value is 1.62 v. The peak-to-peak value of 1.62v is the maximum voltage output change of the eddy current sensor. Using the measured data of the standard linear segment of the eddy current sensor calibration and the Linear Fit.vi of LabVIEW, the least squares fitting straight line equation is obtained as

y=6.11+0.91x (5)y=6.11+0.91x (5)

由此得到斜率为0.91,该数据亦为电涡流传感器的灵敏度,其数学表达式为From this, the slope is 0.91, which is also the sensitivity of the eddy current sensor, and its mathematical expression is

Figure RE-GDA0002565829830000073
Figure RE-GDA0002565829830000073

式中Δy为传感器电压输出增量,Δx为转子振动位移量。where Δy is the sensor voltage output increment, and Δx is the rotor vibration displacement.

利用式(6)就可以求得与其对应的轴心最大径向位移量为1.78mm,足以说明转子碰摩故障的严重程度。Using formula (6), it can be obtained that the corresponding maximum radial displacement of the shaft center is 1.78mm, which is enough to illustrate the severity of the rotor rubbing failure.

进一步的,所述转子振动频谱分析,具体如下:Further, the rotor vibration spectrum analysis is as follows:

为了准确判断故障振动频率,在频域上对检测信号作进一步的分析,旋转机械振动信号在多数情况下是由多种激励信号叠加的复杂信号,可以分解为一系列谐波分量,各谐波分量在线性系统中代表着相应频率激励的响应,每一谐波分量又包容幅值和相位特征量;In order to accurately judge the fault vibration frequency, the detection signal is further analyzed in the frequency domain. In most cases, the rotating machinery vibration signal is a complex signal superimposed by a variety of excitation signals, which can be decomposed into a series of harmonic components. The component represents the response of the corresponding frequency excitation in the linear system, and each harmonic component contains the amplitude and phase characteristic quantities;

图6为利用LabVIEW设计的频谱分析程序,为了减少泄露效应,在对转子振动信号进行傅里叶变换前,对其使用窗函数加权。图7为实际振动频谱分析图,我们可以清晰看到基频就是转子的旋转频率39Hz,与设定的转速完全吻合。而2倍基频处(78Hz)有尖峰的显现,是转子发生碰摩的重要特征信号之一,说明转子轴向振动强于径向振动,符合本实验综合碰摩振动故障的特征。Figure 6 is a spectrum analysis program designed by LabVIEW. In order to reduce the leakage effect, a window function is used to weight the rotor vibration signal before the Fourier transform is performed. Figure 7 is the actual vibration spectrum analysis diagram, we can clearly see that the fundamental frequency is the rotation frequency of the rotor 39Hz, which is exactly the same as the set rotation speed. The peak at twice the fundamental frequency (78Hz) is one of the important characteristic signals of rotor rubbing, indicating that the axial vibration of the rotor is stronger than the radial vibration, which is in line with the characteristics of the comprehensive rubbing vibration fault in this experiment.

实验台的转子由质量相对较轻的弹性轴和装在弹性轴中间位置的圆盘构成,两端由不变形的轴承及轴承座支承;采用这种基本的结构能够减小其它因素对转子运行的影响从而突出碰摩故障;另外,从大量的关于转子碰摩的理论研究来看,大都采用的是刚性支承的单圆盘转子模型,该实验台设计为滑动轴承支承的单圆盘转子系统。The rotor of the test bench is composed of a relatively light elastic shaft and a disc installed in the middle of the elastic shaft, and the two ends are supported by non-deformable bearings and bearing seats; using this basic structure can reduce the impact of other factors on the operation of the rotor. In addition, from a large number of theoretical studies on rotor rubbing, most of them use a rigidly supported single-disc rotor model, and the experimental bench is designed as a single-disc rotor system supported by sliding bearings.

机械振动检测仪的详细面板如图8所示。The detailed panel of the mechanical vibration detector is shown in Figure 8.

在转子碰摩的过程中,运行条件和碰摩程度的不同会导致单点局部碰摩、多点局部碰摩和整周碰摩等不同形式;在这里设计了模拟单点局部碰摩情况的实验装置;碰摩的定子部分采用耐摩的铜棒,以保证转子不被损伤;铜棒通过螺纹孔固定在支架上,以便通过螺纹连接调节转子和定子间的间隙,以模拟不同程度的碰摩;铜棒与转子碰摩的一端加工成球面,保证两者为单点碰摩;为保护转轴,碰摩位置选在圆盘上;在实验过程中需要用电涡流传感器获取圆盘的振动信号,由于实验台设计的比较紧凑,为充分利用空间,这里将传感器支架与碰摩装置设计为一个整体,如图9所示。In the process of rotor rubbing, different operating conditions and degree of rubbing will lead to different forms such as single-point local rubbing, multi-point local rubbing and whole-circle rubbing; Experimental device; friction-resistant copper rods are used for the rubbing stator part to ensure that the rotor is not damaged; the copper rods are fixed on the bracket through threaded holes, so as to adjust the gap between the rotor and the stator through threaded connections to simulate different degrees of rubbing ; The rubbing end of the copper rod and the rotor is processed into a spherical surface to ensure that the two are rubbed at a single point; in order to protect the rotating shaft, the rubbing position is selected on the disc; during the experiment, an eddy current sensor needs to be used to obtain the vibration signal of the disc , because the design of the experimental bench is relatively compact, in order to make full use of the space, the sensor bracket and the rubbing device are designed as a whole, as shown in Figure 9.

本发明将检测装置技术引入旋转机械故障检测系统中,运用软件和电涡流传感器作为软硬件平台,检测旋转机械振动信号,通过对振动信号的时域波形、频谱、转子轴心运动轨迹等综合特征量进行分析处理,由此可以准确判断旋转机械的故障,通过检测装置的使用,提高了故障诊断的准确性;因此,增加了检测装置的旋转机械故障检测系统,相对于传统的测试仪器,测试精度高。The invention introduces the detection device technology into the rotating machinery fault detection system, uses the software and the eddy current sensor as the software and hardware platform to detect the rotating machinery vibration signal. Through the use of the detection device, the accuracy of fault diagnosis is improved; therefore, the rotating machinery fault detection system of the detection device is added. Compared with the traditional test instrument, the test High precision.

以上所述,仅是本发明的较佳实施例而已,并非对本发明作任何形式上的限制,虽然本发明已以较佳实施例揭露如上,然而并非用以限定本发明,任何熟悉本专业的技术人员,在不脱离本发明技术方案范围内,当可利用上述揭示的技术内容作出些许更动或修饰为等同变化的等效实施例,但凡是未脱离本发明技术方案的内容,依据本发明的技术实质对以上实施例所作的任何简单修改、等同变化与修饰,均仍属于本发明技术方案的范围内。The above are only preferred embodiments of the present invention, and do not limit the present invention in any form. Although the present invention has been disclosed above with preferred embodiments, it is not intended to limit the present invention. Technical personnel, within the scope of the technical solution of the present invention, can make some changes or modifications to equivalent embodiments of equivalent changes by using the technical content disclosed above, but any content that does not depart from the technical solution of the present invention, according to the present invention Any simple modifications, equivalent changes and modifications made to the above embodiments still fall within the scope of the technical solutions of the present invention.

Claims (6)

1.一种旋转机械故障诊断测试系统,为滑动轴承支承的单圆盘转子系统的实验台,所实验台是由安装板、电机、单圆盘转子、滑动轴承、碰磨装置组成,所述电机安装在安装板上,所述滑动轴承设置在单圆盘转子两端,滑动轴承通过轴承座安装在安装板上,其中单圆盘转子的一端与电机输出轴连接,使电机输出轴、单圆盘转子的转轴、滑动轴承位于同一轴线上,所述碰摩装置设置在单圆盘转子周围,其特征在于:还包括检测装置,所述检测装置是由X方向电涡传感器、Y方向电涡传感器、数据采集卡、计算机组成,所述X方向电涡传感器、Y方向电涡传感器分别设置在单圆盘转子一侧,使同一个平面上的X方向电涡传感器、Y方向电涡传感器相互垂直,所述X方向电涡传感器、Y方向电涡传感器与数据采集卡连接,所述数据采集卡与计算机相互连通;通过碰摩装置与单圆盘转子接触形成相处阻力,以改变X方向电涡传感器、Y方向电涡传感器采集的信号,所述计算机中设有虚拟模拟器软件对数据采集卡发送过来的数据进行处理分析。1. A fault diagnosis and testing system for rotating machinery, which is an experimental bench for a single-disc rotor system supported by sliding bearings. The experimental bench is composed of a mounting plate, a motor, a single-disc rotor, a sliding bearing, and a grinding device. The motor is mounted on the mounting plate, the sliding bearings are arranged on both ends of the single disc rotor, the sliding bearings are mounted on the mounting plate through the bearing seat, and one end of the single disc rotor is connected with the motor output shaft, so that the motor output shaft, the single disc rotor are connected to the motor output shaft. The rotating shaft and the sliding bearing of the disc rotor are located on the same axis, and the rubbing device is arranged around the single disc rotor. Eddy sensor, data acquisition card and computer, the X-direction eddy sensor and Y-direction eddy sensor are respectively arranged on one side of the single disc rotor, so that the X-direction eddy sensor and the Y-direction eddy sensor on the same plane perpendicular to each other, the X-direction eddy sensor and the Y-direction eddy sensor are connected to the data acquisition card, and the data acquisition card and the computer are communicated with each other; the contact between the rubbing device and the single disc rotor forms mutual resistance to change the X direction For the signals collected by the eddy sensor and the Y-direction eddy sensor, the computer is provided with virtual simulator software to process and analyze the data sent by the data acquisition card. 2.根据权利要求1所述的一种旋转机械故障诊断测试系统,其特征在于:所述碰磨装置是由螺栓与固定座组成,所述固定座安装在安装板上,位于单圆盘转子一侧,固定座上设有通孔,所述螺栓安装在通孔中,使螺栓的指向与单圆盘转子的轴线重合。2 . The fault diagnosis and testing system for rotating machinery according to claim 1 , wherein the friction device is composed of bolts and a fixing seat, and the fixing seat is mounted on the mounting plate and is located on the single-disc rotor. 3 . On one side, the fixing seat is provided with a through hole, and the bolt is installed in the through hole, so that the direction of the bolt coincides with the axis of the single-disk rotor. 3.一种根据权利要求1所述的一种旋转机械故障诊断测试系统工作方法,其特征在于:其工作方法依据技术机中的软件,具体如下:软件设计通过使用LabVIEW编程语言在Windows XP系统上构建,在该软件平台上,设置前面板上参数控制数据采集卡进行数据采集,通过软件系统对采集数据分析处理,程序中使用AI Acquire Waveforms函数同时采集两个传感器传入的数据,运用Index Array函数分别将两路信号引入;将信号经滤波处理后,水平和垂直方向的信号分别送到Graph控件显示波形图,同时将两个方向的信号叠加在一个XY Graph控件上显示,即可得出转子的轴心轨迹图;并应用LabVIEW软件对信号进行时域和频域的波形特征分析,由此对旋转机械的碰摩故障进行识别和诊断,主要是对单圆盘转子碰摩振动信号的时域波形特征、碰摩振动时的单圆盘转子轴心运动轨迹参数、振动频谱对碰摩故障进行识别与诊断。3. a kind of working method of a kind of rotating machinery fault diagnosis and testing system according to claim 1, is characterized in that: its working method is according to the software in technical machine, is specifically as follows: software design is by using LabVIEW programming language in Windows XP system On the software platform, set the parameters on the front panel to control the data acquisition card for data acquisition, analyze and process the acquired data through the software system, and use the AI Acquire Waveforms function in the program to collect the incoming data from two sensors at the same time. The Array function introduces two signals respectively; after the signals are filtered, the signals in the horizontal and vertical directions are respectively sent to the Graph control to display the waveform diagram, and the signals in the two directions are superimposed on an XY Graph control to display the The shaft center trajectory diagram of the rotor is obtained; and the LabVIEW software is used to analyze the waveform characteristics of the signal in the time domain and frequency domain, thereby identifying and diagnosing the rubbing fault of the rotating machinery, mainly for the single-disc rotor rubbing vibration signal. The rub-impact fault is identified and diagnosed by the time-domain waveform characteristics, the single-disc rotor axis motion trajectory parameters and the vibration spectrum during rubbing vibration. 4.根据权利要求3所述的一种旋转机械故障诊断测试系统工作方法,其特征在于:所述时域波形是振动参量随时间变化的关系曲线,旋转机械正常运转时,理想工况下的振动信号时域波形为平滑的正弦曲线,软件实时采集的X方向和Y方向转子振动波形,如图2,从时域波形可以判断,转子发生了动静碰摩;X轴和Y轴方向原来的正弦信号上叠加了高频成分,波形不稳定,Y轴方向的振动波形则存在明显的削波,波形发生畸变,说明转子的动静碰摩比较严重,尤其Y轴方向转子碰摩更甚,由于在该方向碰摩处限制了转子的位移,因此振动波形的“顶峰”消失,变得更“平坦”;迹象表明单圆盘转子已进入中期磨损阶段;为了探究转子发生碰摩故障的原因,同时采集碰摩振动时的单圆盘转子轴心运动轨迹参数,对其时域波形特征进行全面分析。4. The working method of a rotating machinery fault diagnosis and testing system according to claim 3, wherein the time-domain waveform is a relationship curve of the vibration parameter changing with time, and when the rotating machinery is in normal operation, the The time domain waveform of the vibration signal is a smooth sine curve. The rotor vibration waveforms in the X and Y directions collected by the software in real time are shown in Figure 2. From the time domain waveforms, it can be judged that the rotor has undergone dynamic and static rubbing; the original X-axis and Y-axis directions are The high-frequency components are superimposed on the sinusoidal signal, and the waveform is unstable. The vibration waveform in the Y-axis direction has obvious clipping and the waveform is distorted, indicating that the dynamic and static rubbing of the rotor is more serious, especially the rotor rubbing in the Y-axis direction. The displacement of the rotor is limited by the rubbing in this direction, so the "peak" of the vibration waveform disappears and becomes more "flat"; the signs indicate that the single-disc rotor has entered the middle stage of wear; in order to explore the cause of the rubbing failure of the rotor, At the same time, the motion trajectory parameters of the single-disk rotor shaft center during rubbing vibration are collected, and the time-domain waveform characteristics are comprehensively analyzed. 5.根据权利要求3或4所述的一种旋转机械故障诊断测试系统工作方法,其特征在于:所述采集碰摩振动时的单圆盘转子轴心运动轨迹参数,具体如下:5. The working method of a rotating machinery fault diagnosis and testing system according to claim 3 or 4, characterized in that: the single-disc rotor axis motion track parameters during said collection of rubbing vibration are as follows: a、转子轴心运动轨迹特征a. Trajectory characteristics of rotor axis 单圆盘转子轴心运动轨迹特征轴心轨迹的获得是利用转轴同一平面内相互垂直的X方向电涡传感器、Y方向电涡传感器同时采集数据,通过软件LabVIEW的代码程序以X方向电传感器数据为横坐标、Y方向数据为纵坐标绘制图形;The shaft center trajectory is obtained by using the X-direction eddy sensor and the Y-direction eddy sensor that are perpendicular to each other in the same plane of the rotating shaft to collect data at the same time. Draw a graph for the abscissa and the Y direction data as the ordinate; 单圆盘转子产生涡动运动的原因可能是转子不平衡、对中不良、动静碰摩;不同原因引起的涡动轨迹是不相同的,由此也显示不同的转子轴心相对于轴承座的运动轨迹;旋转机械正常运行时,振动信号时域波形为正弦曲线;设两个互相垂直的正弦信号的数学表达式为The reasons for the whirl motion of the single-disc rotor may be rotor unbalance, poor alignment, and static and dynamic rubbing; the whirl trajectories caused by different reasons are not the same, which also shows that different rotor shafts are relative to the bearing seat. Motion trajectory; when the rotating machinery is in normal operation, the time-domain waveform of the vibration signal is a sine curve; the mathematical expression of two mutually perpendicular sine signals is x(t)=Ax cos(ωxt+φx)=Ax cos(2πfxt+φx) (1)x(t)=A x cos(ω x t+φ x )=A x cos(2πf x t+φ x ) (1) y(t)=Ay cos(ωyt+φy)=Ay cos(2πfyt+φy) (2)y(t)=A y cos(ω y t+φ y )=A y cos(2πf y t+φ y ) (2) 当二个正弦周期信号的频率相同时,即fx=fy时,轨迹一般是椭圆;由(1)、(2)式得When the frequencies of the two sinusoidal periodic signals are the same, that is, f x =f y , the trajectory is generally an ellipse;
Figure RE-FDA0002565829820000021
Figure RE-FDA0002565829820000021
在软件平台上应用XY Graph显示里萨如图形来测出转子轴心轨迹,并由此判断转子运行状态和故障状态;根据里萨如图形的原理,如果X和Y方向的两个数组分别按正弦规律变化,其中,假设其数据点数、幅值和频率都相同,当他们之间的相位差等于90°时为圆,由此可知,如转子无碰摩故障,则在理想工况下,轴心运行轨迹应为圆形;假设Ax≠Ay,即转子x方向和y方向的振幅不相等时,则显示的图形为椭圆形;Apply XY Graph on the software platform to display the Lissajous graph to measure the rotor axis trajectory, and judge the rotor running state and fault state from this; The sine law changes, among which, assuming that the number of data points, amplitude and frequency are the same, when the phase difference between them is equal to 90°, it is a circle. It can be seen that if the rotor has no rubbing fault, under ideal conditions, The running track of the shaft center should be a circle; if A x ≠ A y , that is, when the amplitudes of the rotor in the x and y directions are not equal, the displayed figure is an ellipse; 旋转机械在发生振动故障时,时域波形发生畸变,而非正弦曲线,所以轴心运动轨迹并非圆形;When a vibration fault occurs in a rotating machine, the time domain waveform is distorted instead of a sinusoid, so the axis motion trajectory is not circular; 通过单圆盘转子在不同故障状态下运行时的一些典型轨迹图形、实验所测得小波包消噪后转子轴心运行轨迹图形、单圆盘转子轴心典型轨迹所映射的故障征兆表进行分析,再根据转子振动的时域波形已判断转子存在严重的碰摩故障,而轴心运行轨迹,则昭示了产生故障的原因;根据达郎伯原理,转子不平衡引起的转子轴心运动方程为The analysis is carried out through some typical trajectory patterns of the single-disc rotor running under different fault conditions, the experimentally measured rotor axis running trajectory patterns after wavelet packet de-noising, and the fault symptom table mapped by the typical trajectory of the single-disc rotor axis. , and then according to the time domain waveform of the rotor vibration, it has been judged that the rotor has a serious rubbing fault, and the axis running track shows the cause of the fault; according to the D'Alembert's principle, the rotor axis motion equation caused by the rotor unbalance is:
Figure RE-FDA0002565829820000022
Figure RE-FDA0002565829820000022
式中m为转子质量,c为转子旋转时的内外阻尼系数,k为轴的弯曲刚度,ζ为转子的偏心距,ω为转子旋转的角速度;where m is the mass of the rotor, c is the internal and external damping coefficient when the rotor rotates, k is the bending stiffness of the shaft, ζ is the eccentricity of the rotor, and ω is the angular velocity of the rotor rotating; b、转子轴心径向位移量的测量b. Measurement of radial displacement of rotor shaft 单圆盘转子轴心径向振动位移值是判断转子碰摩故障严重程度最直观的数字量;当运行的转子发生径向振动时,其表面与电涡流传感器之间的距离随时间变化,传感器的输出电压也跟随改变;应用软件中LabVIEW的程序可以测量到转子表面距离传感器最小时的电压值和最大时的电压值,而峰峰值则是转子径向振动时的电压极值,其对应的非电量即为轴心的最大径向位移量;当运行的转子发生径向碰摩振动时,电涡流传感器输出电压跟随平面线圈与转子之间的距离成正比变化;The radial vibration displacement value of the shaft center of the single-disk rotor is the most intuitive digital quantity to judge the severity of the rotor rubbing fault; when the running rotor vibrates radially, the distance between its surface and the eddy current sensor changes with time, and the sensor The output voltage also changes accordingly; the LabVIEW program in the application software can measure the voltage value when the distance between the rotor surface is the smallest and the largest voltage value, and the peak-to-peak value is the voltage extreme value when the rotor vibrates radially, and its corresponding Non-electricity is the maximum radial displacement of the shaft center; when the running rotor has radial rubbing vibration, the output voltage of the eddy current sensor changes in direct proportion to the distance between the plane coil and the rotor; 利用软件中LabVIEW的Amplitude and levels.vi检测到电涡流传感器平面线圈距转子最远时的输出电压,显示实验数据电压值,距离最近时的实验数据为电压值,峰——峰值电压值;Use Amplitude and levels.vi of LabVIEW in the software to detect the output voltage when the plane coil of the eddy current sensor is farthest from the rotor, display the voltage value of the experimental data, and the experimental data when the distance is the closest is the voltage value, peak-to-peak voltage value; 峰-峰值是电涡流传感器最大的电压输出变化量,运用电涡流传感器标定时准线性段的实测数据和LabVIEW的Linear Fit.vi求得最小二乘法拟合直线方程为The peak-to-peak value is the maximum voltage output change of the eddy current sensor. Using the measured data of the standard linear segment of the eddy current sensor calibration and the Linear Fit.vi of LabVIEW, the least squares fitting linear equation is obtained as y=6.11+0.91x (5)y=6.11+0.91x (5) 由此得到斜率为0.91,该数据亦为电涡流传感器的灵敏度,其数学表达式为From this, the slope is 0.91, which is also the sensitivity of the eddy current sensor, and its mathematical expression is
Figure RE-FDA0002565829820000031
Figure RE-FDA0002565829820000031
式中△y为传感器电压输出增量,△x为转子振动位移量;where △y is the sensor voltage output increment, △x is the rotor vibration displacement; 利用式(6)就可以求得与其对应的轴心最大径向位移量,足以说明转子碰摩故障的严重程度。Using the formula (6), the corresponding maximum radial displacement of the shaft center can be obtained, which is enough to explain the severity of the rotor rubbing failure.
6.根据权利要求3所述的一种旋转机械故障诊断测试系统工作方法,其特征在于:所述转子振动频谱分析,具体如下:6. The working method of a rotating machinery fault diagnosis and testing system according to claim 3, wherein the rotor vibration spectrum analysis is as follows: 为了准确判断故障振动频率,在频域上对检测信号作进一步的分析,旋转机械振动信号在多数情况下是由多种激励信号叠加的复杂信号,可以分解为一系列谐波分量,各谐波分量在线性系统中代表着相应频率激励的响应,每一谐波分量又包容幅值和相位特征量;In order to accurately judge the fault vibration frequency, the detection signal is further analyzed in the frequency domain. In most cases, the rotating machinery vibration signal is a complex signal superimposed by a variety of excitation signals, which can be decomposed into a series of harmonic components. The component represents the response of the corresponding frequency excitation in the linear system, and each harmonic component contains the amplitude and phase characteristic quantities; 利用LabVIEW设计的频谱分析程序,为了减少泄露效应,在对转子振动信号进行傅里叶变换前,对其使用窗函数加权,对实际振动频谱分析图进行分析,能清晰看到基频就是转子的旋转频率,与设定的转速完全吻合;2倍基频处有尖峰的显现,是转子发生碰摩的重要特征信号之一,说明转子轴向振动强于径向振动,符合综合碰摩振动故障的特征。Using the spectrum analysis program designed by LabVIEW, in order to reduce the leakage effect, before the Fourier transform of the rotor vibration signal, the window function is used to weight it, and the actual vibration spectrum analysis diagram is analyzed, and it can be clearly seen that the fundamental frequency is the rotor's The rotational frequency is exactly the same as the set rotational speed; there is a peak at twice the fundamental frequency, which is one of the important characteristic signals of rotor rubbing, indicating that the axial vibration of the rotor is stronger than the radial vibration, which is in line with the comprehensive rubbing vibration fault. Characteristics.
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Cited By (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111337121A (en) * 2020-03-13 2020-06-26 沈阳科网通信息技术有限公司 Vibration signal deviation soft measurement and correction method for motor rotating equipment
CN112504440A (en) * 2020-12-10 2021-03-16 河南工学院 Rotating machinery vibration on-line monitoring test device
CN112781874A (en) * 2020-12-30 2021-05-11 广东石油化工学院 Petrochemical rotating unit gearbox fault diagnosis simulation device
CN113219277A (en) * 2021-04-16 2021-08-06 唐山不锈钢有限责任公司 Method for detecting roller bearing degradation by adopting motor current
CN113514144A (en) * 2021-07-28 2021-10-19 郑州轻工业大学 Unbalance-rubbing coupling fault detection method based on eddy current displacement sensor
CN113639625A (en) * 2021-07-14 2021-11-12 南京理工大学 Dynamic testing system for seat ring clearance of large-scale rotating machinery
CN113720614A (en) * 2021-07-19 2021-11-30 北京化工大学 Fundamental frequency vibration signal reduction method for propeller
CN114046979A (en) * 2021-11-16 2022-02-15 珠海格力电器股份有限公司 Compressor rotor track testing device and method and compressor system
CN114593814A (en) * 2022-03-11 2022-06-07 润电能源科学技术有限公司 Method and device for detecting fault of eddy current sensor
CN115041714A (en) * 2022-06-19 2022-09-13 南京中科煜宸激光技术有限公司 Rotating shaft health monitoring device and method for powder-laying type metal additive manufacturing equipment
CN115266048A (en) * 2022-06-10 2022-11-01 广西科技大学 Rotor-blade disc-casing rub-impact test bed and test method thereof
CN115788846A (en) * 2022-11-09 2023-03-14 四机赛瓦石油钻采设备有限公司 Method for rapidly identifying leakage fault of hydraulic end of reciprocating pump
CN115901222A (en) * 2022-12-21 2023-04-04 核工业理化工程研究院 Rotating machinery fault diagnosis system, method, electronic equipment and medium
CN117191394A (en) * 2023-11-06 2023-12-08 南京凯奥思数据技术有限公司 Fault detection method and device for air compressor equipment
CN119400039A (en) * 2025-01-02 2025-02-07 西北工业大学 A small lightweight rotor system fault simulation test bench and fault diagnosis method

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20120027733A (en) * 2010-09-13 2012-03-22 한국수력원자력 주식회사 Rotating machinery fault diagnostic method and system using support vector machines
CN204964011U (en) * 2015-07-28 2016-01-13 浙江省质量检测科学研究院 Vibration detection and failure diagnosis device of portable rotating machinery main shaft
CN109211551A (en) * 2018-09-14 2019-01-15 南京梵科智能科技有限公司 A kind of trouble-shooter for rotating machinery
CN110646188A (en) * 2019-10-14 2020-01-03 军事科学院系统工程研究院军用标准研究中心 Fault diagnosis method for rotary mechanical equipment

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20120027733A (en) * 2010-09-13 2012-03-22 한국수력원자력 주식회사 Rotating machinery fault diagnostic method and system using support vector machines
CN204964011U (en) * 2015-07-28 2016-01-13 浙江省质量检测科学研究院 Vibration detection and failure diagnosis device of portable rotating machinery main shaft
CN109211551A (en) * 2018-09-14 2019-01-15 南京梵科智能科技有限公司 A kind of trouble-shooter for rotating machinery
CN110646188A (en) * 2019-10-14 2020-01-03 军事科学院系统工程研究院军用标准研究中心 Fault diagnosis method for rotary mechanical equipment

Non-Patent Citations (6)

* Cited by examiner, † Cited by third party
Title
KESAAKI MINEMURA,ET AL: "Acoustic Feature Representation Based on Timbre for Fault Detection of Rotary Machines", 《2018 INTERNATIONAL CONFERENCE ON SENSING,DIAGNOSTICS, PROGNOSTICS, AND CONTROL (SDPC)》 *
杨奕,沈申生: "基于仪器技术在旋转机械故障检测中的应用", 《电气自动化》 *
杨奕,沈申生: "虚拟仪器技术在旋转机械故障检测中的应用", 《电气自动化》 *
杨奕等: "基于电涡流传感器及虚拟仪器的旋转机械碰摩故障特征研究", 《煤矿机械》 *
杨奕等: "基于虚拟仪器的转子轴心运动轨迹测试系统", 《仪表技术与传感器》 *
杨奕等: "转子早期碰摩故障特征的小波包分析", 《汽轮机技术》 *

Cited By (20)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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