A roots blower rub failure diagnosis method, system, device and medium
By deploying sensors on the Roots blower to collect signals, establishing an ideal physical model and conducting simulations, the problem of detecting rubbing faults in Roots blowers was solved, enabling accurate fault diagnosis and timely repair.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SHAANXI YANCHANG PETROLEUM POWER SALES CO LTD
- Filing Date
- 2023-05-31
- Publication Date
- 2026-06-23
Smart Images
Figure CN116771676B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of Roots blower maintenance technology, and in particular to a method, system, equipment, and medium for diagnosing Roots blower rubbing faults. Background Technology
[0002] Roots blowers are positive displacement blowers with a simple structure and low manufacturing cost. Internally, two three-lobe impellers rotate relative to each other within a space sealed by the casing and wall plates. Because each impeller uses an involute or epicycloid envelope, all three blades of each impeller are identical, and both impellers are identical, significantly reducing manufacturing difficulty. CNC equipment is used during impeller machining to ensure that, with a constant center distance, the two impellers maintain a minimal clearance regardless of their rotational position, ensuring gas leakage remains within permissible limits.
[0003] To ensure the normal operation of a Roots blower, a certain small gap must be maintained between the two impellers, between the impeller and the end plate, and between the impeller and the casing. If the gap is too large, the compressed gas will flow back through the gap, causing power loss in the blower. Due to this characteristic, when a Roots blower is improperly installed, or when the rotor or casing expands due to heat, or when the rotor becomes loose, friction may occur between the two impellers, between the impeller and the end plate, and between the impeller and the casing, leading to wear on the casing and rotor and increased motor load. Therefore, vibration and overheating problems frequently occur during the operation of a Roots blower, indicating a rubbing fault; currently, there is no effective method for detecting rubbing faults in Roots blowers. Summary of the Invention
[0004] In view of this, embodiments of the present invention provide a method, system, device and medium for diagnosing rubbing faults in Roots blowers.
[0005] The first aspect of the present invention provides a method for diagnosing rubbing faults in Roots blowers, characterized by comprising the following steps:
[0006] Sensors are placed on the power shaft and impeller shaft of the Roots blower to collect temperature and vibration signals during the operation of the Roots blower, and to obtain the actual temperature trend and actual vibration trend.
[0007] An ideal physical model is established based on the operating parameters of the Roots blower. The physical model of the blower is simulated to obtain the theoretical temperature trend and theoretical vibration trend.
[0008] By comparing the differences between the actual temperature trend and the theoretical temperature trend, and between the actual vibration trend and the theoretical vibration trend, the fault type of the Roots blower can be determined.
[0009] Furthermore, for the temperature signal during the operation of the Roots blower, a temperature line graph is plotted with the target time as the independent variable and the Roots blower temperature at the target time as the dependent variable, and the temperature line graph is output as the actual temperature trend.
[0010] Furthermore, the actual vibration trend of the Roots blower during operation is obtained through the following steps:
[0011] The vibration signal is filtered to obtain the target vibration signal; the target vibration signal is an acceleration signal.
[0012] The target vibration signal is demodulated to obtain the target envelope signal;
[0013] The target envelope signal is subjected to FFT transformation to obtain the target vibration spectrum; the velocity signal and displacement signal are calculated based on the target vibration spectrum; the acceleration signal, velocity signal and displacement signal are output as the actual vibration trend.
[0014] Furthermore, the velocity signal is obtained by performing a first frequency domain integration on the acceleration signal; the displacement signal is obtained by performing a second frequency domain integration on the acceleration signal; the frequency domain integration of the acceleration signal specifically includes the following steps:
[0015] Let the spectrum of the acceleration signal a(x) be A(r). After FFT transformation, the following formula can be obtained:
[0016]
[0017]
[0018] Where x and r are non-negative integers, N is the amount of sensor sampled data, and j is the phase shift;
[0019] Based on the spectrum of the acceleration signal a(x) as A(r), the corresponding sine waves in the time domain of the velocity and displacement signals are obtained:
[0020]
[0021]
[0022]
[0023] Where Fs represents the Fourier frequency resolution, and ω represents the corresponding frequency of the Fourier component; after simplification, the velocity signal v(x) and displacement signal s(x) are obtained:
[0024]
[0025]
[0026] The acceleration signal a(x), velocity signal v(x), and displacement signal s(x) are output as the actual vibration trend.
[0027] Furthermore, establishing an ideal physical model based on the operating parameters of the Roots blower specifically includes the following steps:
[0028] The masses of the power shaft, impeller shaft, and impeller are abstracted into a mass matrix M; the bearing damping, gyroscope internal resistance, power shaft internal resistance, and impeller shaft internal resistance are abstracted into a damping matrix C; and the overall stiffness of the Roots blower is abstracted into a stiffness matrix K.
[0029] By combining the mass matrix M, damping matrix C, and stiffness matrix K with the net external force vector Q acting on the Roots blower, we obtain an ideal physical model expressed by the following equations of motion:
[0030]
[0031] The net external force vector Q acting on the Roots blower specifically includes unbalanced force, dynamic and static friction force, and bearing defect impact force.
[0032] The ideal physical model was run using simulation software to obtain the theoretical temperature trend and theoretical vibration trend.
[0033] Furthermore, the step of comparing the differences between the actual temperature trend and the theoretical temperature trend, and between the actual vibration trend and the theoretical vibration trend, to determine the fault type of the Roots blower specifically includes the following steps:
[0034] Align the actual temperature trend with the theoretical temperature trend, and compare the deviation between the actual temperature trend and the theoretical temperature trend as the temperature deviation;
[0035] Align the actual vibration trend with the theoretical vibration trend, and compare the deviation between the actual vibration trend and the theoretical vibration trend as the vibration deviation;
[0036] Determine whether the temperature deviation and the vibration deviation exceed preset temperature deviation thresholds and vibration deviation thresholds; when the temperature deviation and the vibration deviation exceed the preset temperature deviation thresholds and vibration deviation thresholds, determine the fault type of the Roots blower based on the amplitude and frequency range of the deviation location.
[0037] Furthermore, the amplitude and frequency range used to determine the fault type of the Roots blower are specifically determined based on the speed, impeller, and bearings of the Roots blower.
[0038] The second aspect of this invention discloses a Roots blower rubbing fault diagnosis system, comprising sensors, a simulation system, and a host computer; the sensors are arranged on the power shaft and impeller shaft of the Roots blower and are used to collect temperature and vibration signals during the operation of the Roots blower to obtain actual temperature trends and actual vibration trends; the simulation system is used to simulate an ideal physical model to obtain theoretical temperature trends and theoretical vibration trends, the ideal physical model being established based on the operating parameters of the Roots blower; the host computer is used to compare the differences between the actual temperature trends and theoretical temperature trends, and between the actual vibration trends and theoretical vibration trends, to determine the fault type of the Roots blower.
[0039] A third aspect of the present invention discloses an electronic device, including a processor and a memory;
[0040] The memory is used to store programs;
[0041] The processor executes the program to implement a method for diagnosing Roots blower rubbing faults.
[0042] The fourth aspect of the present invention discloses a computer-readable storage medium storing a program that is executed by a processor to implement a method for diagnosing rubbing faults in Roots blowers.
[0043] The embodiments of the present invention have the following beneficial effects: By detecting the actual temperature and vibration data of the Roots blower and comparing them with the theoretical temperature and vibration data of an ideal physical model, the present invention can identify the spectral and waveform characteristics of Roots blower faults through spectral analysis, and further determine the faults occurring in the Roots blower through these characteristic frequencies. The present invention provides sufficient theoretical basis for the fault analysis of Roots blowers, making fault analysis and diagnosis more accurate and timely, and meeting the needs of equipment maintenance personnel.
[0044] Additional aspects and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description or may be learned by practice of the invention. Attached Figure Description
[0045] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0046] Figure 1 This is a schematic diagram of the operating principle of a Roots blower.
[0047] Figure 2This is a flowchart of the steps of a Roots blower rubbing fault diagnosis method, system, equipment and medium according to the present invention;
[0048] Figure 3 This is a schematic diagram of an ideal physical model of a Roots blower rubbing fault diagnosis method, system, equipment, and medium.
[0049] Figure 4 , 5 Figures 6 and 7 respectively show the vibration trend of the power shaft in the axial (x), tangential (y), and radial (z) directions in an embodiment of the present invention.
[0050] Figure 7 This is a temperature trend diagram of the power shaft in one embodiment of the present invention;
[0051] Figure 8 , 9 These are, respectively, the velocity waveform and spectrum of the power shaft in the axial (x) direction in one embodiment of the present invention;
[0052] Figure 10 , 11 These are, respectively, the velocity waveform and spectrum of the power shaft in the tangential (y) direction in one embodiment of the present invention;
[0053] Figure 12 , 13 These are, respectively, the velocity waveform and spectrum of the power shaft in the radial (z) direction in one embodiment of the present invention;
[0054] Figure 14 , 15 These are the acceleration waveform and spectrum of the power shaft in the radial (z) direction in one embodiment of the present invention. Detailed Implementation
[0055] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.
[0056] The working principle of a Roots blower is as follows: Figure 1As shown, a small gap is always maintained between the impeller end face and the front and rear end covers of the Roots blower, as well as between the impellers themselves. Driven by the synchronous gear, air is transported from the blower inlet along the inner wall of the casing to the outlet side, causing intermittent and periodic changes in the intake and exhaust processes, resulting in a pulsating state of the gas in the flow channel. Taking a three-lobe Roots blower as an example, under normal operation, a three-lobe Roots blower has six intake and exhaust processes in one rotation cycle, resulting in six fluid volume changes in the intake and exhaust chambers, thus forming a sixth-harmonic vibration. The greater the difference in flow rate within one rotation cycle, the more intense the pulsation phenomenon, and the greater the corresponding vibration amplitude. The third harmonic in the vibration signal comes from the interaction between the three blades on the impeller and the fluid. However, during abnormal operation of the Roots blower, due to poor assembly, excessive rotor imbalance, shaft bending, mechanical loosening, or component defects, friction may occur between the moving and stationary parts. The vibration generated by the friction between the moving and stationary parts has rich spectral characteristics, distributed across low, medium and high frequency bands, and the specific frequency response varies depending on the structure of the Roots blower.
[0057] Therefore, in order to deduce the rubbing failure of a Roots blower from its spectral characteristics, this invention provides a method for diagnosing rubbing failures in a Roots blower, such as... Figure 2 As shown, the main steps include:
[0058] S1. Sensors are placed on the power shaft and impeller shaft of the Roots blower to collect temperature and vibration signals during the operation of the Roots blower, and to obtain the actual temperature trend and actual vibration trend.
[0059] S2. Establish an ideal physical model based on the operating parameters of the Roots blower, simulate the blower's physical model, and obtain the theoretical temperature trend and theoretical vibration trend;
[0060] S3. Compare the differences between the actual temperature trend and the theoretical temperature trend, and between the actual vibration trend and the theoretical vibration trend, to determine the fault type of the Roots blower.
[0061] Since the temperature and vibration trends of a Roots blower during a fault differ from those during normal operation, this embodiment compares the actual temperature and vibration trends of the Roots blower with the theoretical temperature and vibration trends of the ideal physical model, and determines the fault type of the Roots blower based on the differences between the trend graphs.
[0062] S1. Sensors are placed on the power shaft and impeller shaft of the Roots blower to collect temperature and vibration signals during the operation of the Roots blower, and to obtain the actual temperature trend and actual vibration trend.
[0063] This embodiment uses wireless temperature and vibration sensors to collect the actual temperature and vibration trends of a Roots blower. The sensors are typically mounted on the bearings or shaft of the Roots blower. The bearings primarily serve to fix the shaft, preventing radial or axial movement; therefore, sensors mounted on the bearings can detect the radial and axial forces on the shaft. Sensors mounted on the shaft detect the tangential forces. By detecting the actual temperature and vibration trends of the bearings and shaft, the overall operating status of the Roots blower can be reflected.
[0064] Regarding the actual temperature trend, this embodiment reflects the actual temperature trend of the Roots blower by establishing a temperature line graph. Compared with statistical methods such as bar charts and pie charts, line graphs can more intuitively reflect the changing trend of parameters. In this embodiment, the target time is used as the independent variable and the Roots blower temperature at the target time is used as the dependent variable to draw the temperature line graph, and the temperature line graph is output as the actual temperature trend.
[0065] Regarding the actual vibration trend, the vibration signal of a Roots blower contains a mixture of multiple frequencies, including the vibration frequency emitted during normal operation, the vibration frequency generated due to various faults, and other noise frequencies. To make the vibration frequency generated by faults clearer, this embodiment first uses a bandpass filter to filter other signals to a certain extent, obtaining the target vibration signal dominated by the fault signal. Meanwhile, since measuring the vibration velocity and displacement of a Roots blower is relatively difficult, this embodiment mainly measures the acceleration vibration signal of the Roots blower, and subsequently derives the velocity and displacement signals of the Roots blower through frequency domain integration.
[0066] After obtaining the target vibration signal, this embodiment uses an envelope detector to separate the frequency components of the acceleration signal to obtain the target Porro signal. Finally, spectral analysis is performed on the target envelope signal to obtain the target vibration spectrum of the acceleration signal.
[0067] Based on the integral property of the Fourier transform, the velocity and displacement signals can be obtained from the integral of the acceleration signal through the following process: First, perform a Fourier transform on the acceleration signal to convert the integration operation into a division operation; then, perform an inverse Fourier transform and take the real part, which gives the velocity and displacement signals. The specific calculation process is shown below:
[0068] Let the spectrum of the acceleration signal a(x) be A(r). After FFT transformation, the following formula can be obtained:
[0069]
[0070]
[0071] Where x and r are non-negative integers, N is the amount of sensor sampled data, and j is the phase shift;
[0072] Based on the spectrum of the acceleration signal a(x) as A(r), the corresponding sine waves in the time domain of the velocity and displacement signals are obtained:
[0073]
[0074]
[0075]
[0076] Where Fs represents the Fourier frequency resolution, and ω represents the corresponding frequency of the Fourier component; after simplification, the velocity signal v(x) and displacement signal s(x) are obtained:
[0077]
[0078]
[0079] The acceleration signal a(x), velocity signal v(x), and displacement signal s(x) are output as the actual vibration trend.
[0080] By using the frequency domain conversion method of the Roots blower acceleration signal as shown above, the velocity and displacement signals can be obtained from the acceleration signal, so as to determine the fault of the Roots blower through the joint analysis of the acceleration, velocity and displacement signals.
[0081] S2. Establish an ideal physical model based on the operating parameters of the Roots blower, simulate the blower's physical model, and obtain the theoretical temperature trend and theoretical vibration trend.
[0082] In this embodiment, the Roots blower is equivalent to a rotor system by obtaining its mass parameters, damping parameters, and motion parameters, and is used as an ideal physical model for simulation. Specifically, the masses of the drive shaft, impeller shaft, and impeller are abstracted as a mass matrix M; the bearing damping, gyroscope internal resistance, drive shaft internal resistance, and impeller shaft internal resistance are abstracted as a damping matrix C; the overall stiffness of the Roots blower is abstracted as a stiffness matrix K; and the mass matrix M, damping matrix C, and stiffness matrix K are combined with the net external force vector Q acting on the Roots blower to obtain the ideal physical model expressed by the following equation of motion:
[0083]
[0084] like Figure 3As shown, the net external force vector Q acting on the Roots blower specifically includes unbalanced forces, dynamic and static friction forces, and bearing defect impact forces. Further simulation software is used to run the ideal physical model to obtain the theoretical temperature and vibration trends. Simulation of the ideal physical model can be performed using Matlab, Simulink, or other simulation software. This embodiment uses Simulink for simulation, obtaining the theoretical temperature and vibration trends of the ideal physical model. These theoretical temperature and vibration trends are then used as the temperature and vibration trends of a fault-free Roots blower. Comparing these trends with the actual temperature and vibration trends reveals the types of faults present in the Roots blower.
[0085] S3. Compare the differences between the actual temperature trend and the theoretical temperature trend, and between the actual vibration trend and the theoretical vibration trend, to determine the fault type of the Roots blower.
[0086] In step S3, the differences between the actual temperature trend and the theoretical temperature trend, and between the actual vibration trend and the theoretical vibration trend, are compared to determine the fault type of the Roots blower. This specifically includes the following steps:
[0087] Align the actual temperature trend with the theoretical temperature trend, and compare the deviation between the actual temperature trend and the theoretical temperature trend as the temperature deviation.
[0088] Align the actual vibration trend with the theoretical vibration trend, and compare the deviation between the actual vibration trend and the theoretical vibration trend as the vibration deviation;
[0089] Determine whether the temperature deviation and vibration deviation exceed the preset temperature deviation threshold and vibration deviation threshold; when the temperature deviation and vibration deviation exceed the preset temperature deviation threshold and vibration deviation threshold, determine the fault type of the Roots blower based on the amplitude and frequency range of the deviation location.
[0090] After obtaining the temperature and vibration deviations of the Roots blower, the fault type can be determined based on these deviations. In some embodiments, the amplitude and frequency range used to determine the fault type are specifically determined based on the blower's rotational speed, impeller, and bearings. For example, if the vibration deviation exhibits first harmonic signal characteristics, and the noise frequency is an integer multiple of the rotor frequency, and the temperature deviation shows obvious periodicity, it can be determined that the Roots blower shaft is bent, and the temperature change is caused by friction between the blower impeller and the casing. When the vibration deviation has high harmonic frequencies (including 2nd, 2.5th, and 3rd harmonic components) and the temperature deviation remains high for a long period, it can be determined that the Roots blower has mechanical loosening, resulting in a loose shaft or impeller. When the vibration deviation shows first and second harmonic components and increases with time without significant temperature deviation, it can be determined that the Roots blower shaft is cracked. Most of the specific faults of Roots blowers are related to the movement of the shaft, bearings, or impeller. Therefore, by comparing the vibration and temperature deviations of Roots blowers under ideal and actual conditions, the fault types of Roots blowers can be effectively identified.
[0091] Figures 4-15 A specific example of fault diagnosis for a Roots blower is shown. Wireless temperature and vibration sensors are installed on the impeller shaft and the drive shaft. The low-frequency shaft has a sampling frequency of 3200Hz, 2048 sampling points, and 800 spectral lines; the high-frequency shaft has a sampling frequency of 25600Hz, 4096 sampling points, and 1600 spectral lines. Figure 4 , 5 As shown in Figures 6 and 7, since monitoring began, the vibration trend of the Roots blower has remained at a high level; the maximum vibration is 23 mm / s in the axial direction, which is far beyond the high-frequency alarm threshold (11.2 mm / s), and its high-frequency Z-axis envelope value is 100 m / s. 2 The vibration level of the Roots blower equipment was also relatively high, and the monitoring system continuously triggered a level three alarm. The temperature trend of the Roots blower bearing housing was relatively stable with no obvious abnormalities.
[0092] like Figure 8 , 9 As shown in Figures 10, 11, 12, 13, 14, and 15, examining the waveform spectrum of the Roots blower reveals that it is primarily dominated by the rotor's operating frequency (approximately 25Hz, 1485 rpm) and its harmonics, with very high harmonic orders, exhibiting frequency components from 1X to 25X. Its axial vibration is the greatest, with its spectrum dominated by the 25Hz operating frequency and its 6X, 12X, and 14X harmonics. Horizontally, the spectrum is dominated by 1X, 2X, 10X, and 14X harmonics, while vertically, it is dominated by 1X, 2X, 3X, 4X, and 6X harmonics. The envelope peak value is 100 m / s², and the demodulation spectrum is dominated by 25Hz and its harmonics.
[0093] The above spectral analysis reveals that the high-frequency shaft envelope peak of the Roots blower is exceptionally high, indicating high impact energy. Combined with the higher harmonic spectrum and the demodulation characteristics of the power frequency harmonics, it can be determined that the Roots blower suffers from significant mechanical loosening, leading to poor impeller rotor meshing clearance and rubbing between moving and stationary parts, resulting in higher vibration. Furthermore, apart from the rotational frequency and its harmonic characteristics, no obvious bearing fault frequencies were found in the Roots blower's envelope spectrum, indicating that the bearing itself has no obvious defects.
[0094] This invention also discloses a Roots blower rubbing fault diagnosis system, including sensors, a simulation system, and a host computer. The sensors are arranged on the power shaft and impeller shaft of the Roots blower and are used to collect temperature and vibration signals during the operation of the Roots blower to obtain the actual temperature trend and the actual vibration trend. The simulation system is used to simulate an ideal physical model to obtain the theoretical temperature trend and the theoretical vibration trend. The ideal physical model is established based on the operating parameters of the Roots blower. The host computer is used to compare the differences between the actual temperature trend and the theoretical temperature trend, and between the actual vibration trend and the theoretical vibration trend, to determine the fault type of the Roots blower.
[0095] This invention also discloses a computer program product or computer program, which includes computer instructions stored in a computer-readable storage medium. A processor of a computer device can read the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, causing the computer device to perform... Figure 1 The method shown.
[0096] In some alternative embodiments, the functions / operations mentioned in the block diagrams may not occur in the order shown in the operation diagrams. For example, depending on the functions / operations involved, two consecutively shown blocks may actually be executed substantially simultaneously, or the blocks may sometimes be executed in reverse order. Furthermore, the embodiments presented and described in the flowcharts of this invention are provided by way of example to provide a more comprehensive understanding of the technology. The disclosed methods are not limited to the operations and logic flows presented herein. Alternative embodiments are contemplated in which the order of various operations is altered and sub-operations described as part of a larger operation are executed independently.
[0097] Furthermore, although the invention has been described in the context of functional modules, it should be understood that, unless otherwise stated, one or more of the described functions and / or features may be integrated into a single physical device and / or software module, or one or more functions and / or features may be implemented in a separate physical device or software module. It is also understood that a detailed discussion of the actual implementation of each module is unnecessary for understanding the invention. Rather, given the properties, functions, and internal relationships of the various functional modules in the apparatus disclosed herein, the actual implementation of the module will be understood within the scope of conventional skill of an engineer. Therefore, those skilled in the art can implement the invention as set forth in the claims using ordinary techniques without excessive experimentation. It is also understood that the specific concepts disclosed are merely illustrative and not intended to limit the scope of the invention, which is determined by the full scope of the appended claims and their equivalents.
[0098] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device.
[0099] In the description of this specification, references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.
[0100] Although embodiments of the invention have been shown and described, those skilled in the art will understand that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the claims and their equivalents.
[0101] The above is a detailed description of the preferred embodiments of the present invention, but the present invention is not limited to the embodiments described. Those skilled in the art can make various equivalent modifications or substitutions without departing from the spirit of the present invention, and these equivalent modifications or substitutions are all included within the scope defined by the claims of this application.
Claims
1. A method for diagnosing rubbing faults in Roots blowers, characterized in that, Includes the following steps: Sensors are placed on the power shaft and impeller shaft of the Roots blower to collect temperature and vibration signals during the operation of the Roots blower, and to obtain the actual temperature trend and actual vibration trend. An ideal physical model is established based on the operating parameters of the Roots blower, and the ideal physical model is simulated to obtain the theoretical temperature trend and theoretical vibration trend. By comparing the differences between the actual temperature trend and the theoretical temperature trend, and between the actual vibration trend and the theoretical vibration trend, the fault type of the Roots blower can be determined. The step of comparing the differences between the actual temperature trend and the theoretical temperature trend, and between the actual vibration trend and the theoretical vibration trend, to determine the fault type of the Roots blower specifically includes the following steps: Align the actual temperature trend with the theoretical temperature trend, and compare the deviation between the actual temperature trend and the theoretical temperature trend as the temperature deviation; Align the actual vibration trend with the theoretical vibration trend, and compare the deviation between the actual vibration trend and the theoretical vibration trend as the vibration deviation; Determine whether the temperature deviation and the vibration deviation exceed preset temperature deviation thresholds and vibration deviation thresholds; when the temperature deviation and the vibration deviation exceed the preset temperature deviation thresholds and vibration deviation thresholds, determine the fault type of the Roots blower based on the amplitude and frequency range of the deviation location.
2. The method for diagnosing rubbing faults in a Roots blower according to claim 1, characterized in that, For the temperature signal during the operation of the Roots blower, a temperature line graph is plotted with the target time as the independent variable and the Roots blower temperature at the target time as the dependent variable. The temperature line graph is then output as the actual temperature trend.
3. The method for diagnosing rubbing faults in a Roots blower according to claim 1, characterized in that, To obtain the actual vibration trend of a Roots blower during operation, the vibration signal is obtained through the following steps: The vibration signal is filtered to obtain the target vibration signal; the target vibration signal is an acceleration signal. The target vibration signal is demodulated to obtain the target envelope signal; The target envelope signal is subjected to FFT transformation to obtain the target vibration spectrum; the velocity signal and displacement signal are calculated based on the target vibration spectrum; the acceleration signal, velocity signal and displacement signal are output as the actual vibration trend.
4. The method for diagnosing rubbing faults in a Roots blower according to claim 1, characterized in that, The establishment of an ideal physical model based on the operating parameters of the Roots blower specifically includes the following steps: The masses of the power shaft, impeller shaft, and impeller are abstracted into a mass matrix M; the bearing damping, gyroscope internal resistance, power shaft internal resistance, and impeller shaft internal resistance are abstracted into a damping matrix C; and the overall stiffness of the Roots blower is abstracted into a stiffness matrix K. By combining the mass matrix M, damping matrix C, and stiffness matrix K with the net external force vector Q acting on the Roots blower, we obtain an ideal physical model expressed by the following equations of motion: The net external force vector Q acting on the Roots blower specifically includes unbalanced force, dynamic and static friction force, and bearing defect impact force. The ideal physical model was run using simulation software to obtain the theoretical temperature trend and theoretical vibration trend.
5. The method for diagnosing rubbing faults in a Roots blower according to claim 1, characterized in that, The amplitude and frequency range used to determine the fault type of a Roots blower are specifically determined based on the speed, impeller, and bearings of the Roots blower.
6. A Roots blower rubbing fault diagnosis system, characterized in that, The system includes sensors, a simulation system, and a host computer. The sensors are arranged on the drive shaft and impeller shaft of the Roots blower and are used to collect temperature and vibration signals during operation, obtaining actual temperature and vibration trends. The simulation system is used to simulate an ideal physical model to obtain theoretical temperature and vibration trends. This ideal physical model is established based on the operating parameters of the Roots blower. The host computer is used to compare the differences between the actual and theoretical temperature trends, and between the actual and theoretical vibration trends, to determine the fault type of the Roots blower. The step of comparing the differences between the actual temperature trend and the theoretical temperature trend, and between the actual vibration trend and the theoretical vibration trend, to determine the fault type of the Roots blower specifically includes the following steps: Align the actual temperature trend with the theoretical temperature trend, and compare the deviation between the actual temperature trend and the theoretical temperature trend as the temperature deviation; Align the actual vibration trend with the theoretical vibration trend, and compare the deviation between the actual vibration trend and the theoretical vibration trend as the vibration deviation; Determine whether the temperature deviation and the vibration deviation exceed preset temperature deviation thresholds and vibration deviation thresholds; when the temperature deviation and the vibration deviation exceed the preset temperature deviation thresholds and vibration deviation thresholds, determine the fault type of the Roots blower based on the amplitude and frequency range of the deviation location.
7. An electronic device, characterized in that, Including the processor and memory; The memory is used to store programs; The processor executes the program to implement the method as described in any one of claims 1-5.
8. A computer-readable storage medium, characterized in that, The storage medium stores a program that is executed by a processor to implement the method as described in any one of claims 1-5.