Turbine blower fault handling method, system, medium, equipment and program product

Abstract

The present application provides a fault handling method, system, medium, device and program product for a turbine blower, which relates to the field of industrial equipment, including: obtaining the first vibration frequency of the bearing seat and the second vibration frequency of the impeller in the turbine blower; if the vibration amplitude of the bearing seat is greater than the set standard vibration amplitude, and the frequency difference between the first vibration frequency and the second vibration frequency is less than the set threshold range, confirming that the turbine blower has a dynamic imbalance fault; obtaining the fault spectrum data of the turbine blower; if the fault spectrum data presents nonlinear vibration characteristics, confirming that the turbine blower has a shaft operation fault, so as to apply the shaft operation fault handling solution to handle the shaft operation fault. The present application solves the problem that general blower fault diagnosis ignores potential faults such as bearing seats and bearings, and improves the fault detection accuracy of turbine blowers.

Description

Technical Field

[0001] The present application relates to the field of industrial equipment, and in particular to a fault handling method, system, medium, equipment and program product for a turbine blower. Background Art

[0002] The turbine fan is responsible for providing vacuum to the wire section and the press section during paper machine operation, which is directly related to the continuous operation of the paper machine.

[0003] Due to the characteristics of the operating conditions of the turbine blower, it is easy to cause the impeller to have dynamic imbalance problems. Therefore, dynamic imbalance failure is a very typical type of failure during the operation of the turbine blower.

[0004] The actual on-site diagnosis of turbine blower dynamic imbalance faults widely follows the general blower dynamic imbalance fault diagnosis method, but in actual scenarios, fault judgment errors often occur, which not only increases maintenance costs but also causes significant production losses. Summary of the invention

[0005] The purpose of the present application is to provide a turbine blower fault handling method, system, computer-readable storage medium, electronic device and computer program product, which can improve the fault detection accuracy of the turbine blower.

[0006] In order to solve the above technical problems, the present application provides a method for handling faults of a turbine blower, and the specific technical solution is as follows:

[0007] Obtaining a first vibration frequency of a bearing seat and a second vibration frequency of an impeller in the turbine blower;

[0008] If the vibration amplitude of the bearing seat is greater than the set standard vibration amplitude, and the frequency difference between the first vibration frequency and the second vibration frequency is less than a set threshold range, it is confirmed that the turbine blower has a dynamic unbalance fault;

[0009] Acquiring fault spectrum data of the turbine blower;

[0010] If the fault spectrum data presents nonlinear vibration characteristics, it is confirmed that the turbine blower has a shaft operation fault, so that a shaft operation fault treatment solution can be applied to treat the shaft operation fault.

[0011] Optionally, obtaining a first vibration frequency of a bearing seat and a second vibration frequency of an impeller in the turbine blower includes:

[0012] Collecting a vibration time domain signal of the bearing seat, and converting the vibration time domain signal into a frequency domain signal by fast Fourier transform, so as to determine a first vibration frequency of the bearing seat;

[0013] When the turbo blower is running, a second vibration frequency of the impeller is collected by using a non-contact sensor.

[0014] Optionally, after collecting the vibration time domain signal of the bearing seat and converting the vibration time domain signal into a frequency domain signal by fast Fourier transform, the method further includes:

[0015] Perform frequency domain analysis on the frequency domain signal to determine the vibration amplitude of the bearing seat.

[0016] Optionally, obtaining fault spectrum data of the turbine blower includes:

[0017] collecting a vibration signal of the turbine blower;

[0018] A frequency spectrum corresponding to the vibration signal is generated, and the rotation frequency, harmonics, time domain waveform and phase difference are read from the frequency spectrum.

[0019] Optionally, if the fault spectrum data presents nonlinear vibration characteristics, confirming that the turbine blower has a shaft operation fault includes:

[0020] If the frequency spectrum diagram contains subharmonics and fractional harmonics, and / or the amplitude of the subharmonics changes nonlinearly, it is confirmed that the fault frequency spectrum data presents nonlinear vibration characteristics.

[0021] Optionally, before applying the shaft operation fault handling solution to handle the shaft operation fault, the method further includes:

[0022] Generate a fault handling plan, which is used to perform the following fault repair prompts:

[0023] Performing dynamic balancing correction on the impeller rotor, or inspecting the impeller blades;

[0024] Correct the concentricity of the rotor and motor.

[0025] The present application also provides a fault handling system for a turbine blower, comprising:

[0026] A frequency acquisition module, used for acquiring a first vibration frequency of a bearing seat and a second vibration frequency of an impeller in the turbine blower;

[0027] a fault determination module, configured to confirm that a dynamic unbalance fault occurs in the turbine blower if the vibration amplitude of the bearing seat is greater than a set standard vibration amplitude and the frequency difference between the first vibration frequency and the second vibration frequency is less than a set threshold range;

[0028] A fault data acquisition module, used for acquiring fault spectrum data of the turbine blower;

[0029] The fault handling module is used to confirm that the turbine blower has a shaft operation fault if the fault spectrum data presents nonlinear vibration characteristics, so as to apply a shaft operation fault handling solution to handle the shaft operation fault.

[0030] The present application also provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the steps of the fault handling method described above are implemented.

[0031] The present application also provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the fault handling method as described above when calling the computer program in the memory.

[0032] The present application also provides a computer program product, including a computer program, which implements the steps of the fault handling method described above when executed.

[0033] The present application provides a fault handling method for a turbine blower, comprising: obtaining a first vibration frequency of a bearing seat and a second vibration frequency of an impeller in the turbine blower; if the vibration amplitude of the bearing seat is greater than a set standard vibration amplitude, and the frequency difference between the first vibration frequency and the second vibration frequency is less than a set threshold range, confirming that the turbine blower has a dynamic unbalance fault; obtaining fault spectrum data of the turbine blower; if the fault spectrum data presents nonlinear vibration characteristics, confirming that the turbine blower has a shaft operation fault, so as to apply a shaft operation fault handling solution to handle the shaft operation fault.

[0034] This application obtains the vibration frequencies of the bearing seat and the impeller. If the vibration frequencies of the two are consistent, that is, less than the set threshold range, it can be confirmed that the turbine blower has a dynamic imbalance fault. At this time, the fault frequency data of the turbine blower is further obtained, and the vibration characteristics of the fault frequency data are analyzed. If nonlinear vibration characteristics are present, it indicates that the turbine blower has a shaft operation fault, and the weekly operation fault handling solution can be applied to handle the fault. This application avoids using the diagnostic method of general blowers, and focuses on the fact that when the vibration of the shaft in the bearing seat intensifies in the turbine blower, the oil film stability may be destroyed, thereby causing abnormal shaft operation, so as to perform associated fault detection on the shaft, solve the problem of neglecting potential faults such as bearing seats and bearings in general blower fault diagnosis, and improve the fault detection accuracy of turbine blowers.

[0035] The present application also provides a turbine blower fault handling system, a computer-readable storage medium, an electronic device and a computer program product, which have the above-mentioned beneficial effects and are not described in detail here. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0037] Figure 1 A flow chart of a method for troubleshooting a turbine blower provided in an embodiment of the present application;

[0038] Figure 2 A schematic diagram of dynamic imbalance of a general fan provided in an embodiment of the present application;

[0039] Figure 3 A schematic diagram of force analysis of a bearing seat provided in an embodiment of the present application;

[0040] Figure 4 A fault spectrum diagram of a general wind turbine with dynamic imbalance provided in an embodiment of the present application;

[0041] Figure 5 A schematic diagram of the working principle of the sliding bearing provided in the embodiment of the present application;

[0042] Figure 6 A fault spectrum diagram of a turbine fan that is unbalanced in motion provided by an embodiment of the present application;

[0043] Figure 7 An exemplary fault spectrum diagram when the turbine blower is dynamically unbalanced provided by the present application;

[0044] Figure 8 A schematic diagram of a fault handling system for a turbine blower provided in an embodiment of the present application;

[0045] Fig. 9 A structural diagram of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0046] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0047] The object information involved in this application, including but not limited to the object device information, object personal information, etc., and data, including but not limited to data used for analysis, stored data, displayed data, etc., are all information and data authorized by the object or fully authorized by all parties, and the collection, use and processing of relevant data must comply with the laws, regulations and standards of relevant countries and regions.

[0048] See also Figure 1 , Figure 1 A flow chart of a method for handling a turbine blower fault provided in an embodiment of the present application, the method comprising:

[0049] S101: Acquire a first vibration frequency of a bearing seat and a second vibration frequency of an impeller in the turbine blower;

[0050] S102: If the vibration amplitude of the bearing seat is greater than a set standard vibration amplitude, and the frequency difference between the first vibration frequency and the second vibration frequency is less than a set threshold range, it is confirmed that the turbine blower has a dynamic unbalance fault;

[0051] S103: Acquire fault spectrum data of the turbine blower;

[0052] S104: If the fault spectrum data presents nonlinear vibration characteristics, it is confirmed that a shaft operation fault exists in the turbine blower, so that a shaft operation fault treatment solution can be applied to treat the shaft operation fault.

[0053] In order to better introduce this application, the following first describes the diagnostic process when a general fan has a dynamic imbalance fault:

[0054] See also Figure 2 , Figure 2 This is a schematic diagram of the dynamic imbalance of a general fan provided in the embodiment of the present application. A general fan is generally a centrifugal fan, and its working principle is the same as that of a turbine fan. When the impeller is dynamically unbalanced due to wear, damage, etc., it will cause abnormal vibration of the fan. Figure 2 As shown in the figure, when the impeller has a dynamic imbalance fault, centrifugal force will be generated during the rotation process, and the magnitude of the centrifugal force is: The bearing seat will produce forced vibration under the action of centrifugal force. Analyze the bearing seat force model, such as Figure 3 As shown, Figure 3 A schematic diagram of the force analysis of the bearing seat provided in an embodiment of the present application.

[0055] According to Newton's law of mechanics: the resultant force on an object is equal to the product of mass and acceleration, the force equation of the bearing seat is as follows (the downward direction is positive):

[0056] ;

[0057] Right now ;

[0058] in, For the joint efforts, is the damping force, is the elastic force, is the exciting force (centrifugal force).

[0059] This equation is a first-order linear equation with constant coefficients, and its solution is in the form of:

[0060] , where B is the amplitude, For phase.

[0061] To facilitate stress analysis, the general solution of the equation is omitted in this solution, because the general solution is the free decay vibration generated by the bearing seat after being subjected to stress, which has no effect on its steady-state vibration.

[0062] From the analysis of the solution, after the fan bearing seat is subjected to the centrifugal force generated by dynamic imbalance, its vibration frequency is consistent with the rotation frequency of the impeller. Therefore, when it is detected that the bearing seat has a vibration frequency consistent with the impeller, and the vibration amplitude exceeds the normal level, it can be determined that the general fan has a dynamic imbalance fault.

[0063] At this time, see Figure 4 , Figure 4 This is a fault spectrum diagram of a general wind turbine with dynamic imbalance provided in an embodiment of the present application.

[0064] The method for diagnosing the dynamic imbalance fault of a general fan is widely used because of its high fault diagnosis accuracy. In practical applications, this diagnostic method is often copied to the diagnosis of the dynamic imbalance fault of a turbine fan. However, due to ignoring the structural difference between general fans and turbine fans, the fault of the turbine fan is misdiagnosed. This is because general fans use rolling bearings, while turbine fans use sliding bearings.

[0065] See also Figure 5 , Figure 5 This is a schematic diagram of the working principle of the sliding bearing provided in the embodiment of the present application. The sliding bearing relies on the oil pressure of the lubricating oil to lift the shaft to support the rotational movement of the shaft.

[0066] The shaft rotates (counterclockwise in the figure). Due to the surface tension of the oil, the shaft carries the oil from point B to point A. During this process, the volume keeps decreasing and the oil pressure rises until the shaft is lifted and the force balance is achieved. When the oil film thickness reaches the minimum value, that is, point A, the oil pressure starts to drop after passing point A, and it is ready to enter the next cycle.

[0067] As long as the shaft keeps rotating at a constant speed, this force balance will be maintained, thus achieving the function of supporting the rotation of the equipment.

[0068] When the turbine blower has a dynamic imbalance problem, the force on the bearing seat is the same as that on a general blower (rolling bearing), and the force equation is also the same, as follows:

[0069] ;

[0070] When the dynamic imbalance of the turbine blower is not serious, that is, the exciting force generated by the dynamic imbalance on the bearing seat is small, the elastic support force (kx) of the oil film on the shaft remains basically unchanged, and its force form is similar to that of the rolling bearing. The dynamic imbalance fault of the turbine blower can be diagnosed by referring to the method of the general blower with rolling bearing. Therefore, in the actual application process, copying the diagnosis method of the general blower also has a certain accuracy rate.

[0071] However, when the dynamic imbalance fault is further aggravated, the vibration range of the shaft in the bearing seat increases, the stability of the oil film is destroyed, and the thickness of the oil film is sometimes large and sometimes small. When the stability of the oil film is destroyed, the support stiffness of the oil film changes from a constant k to a variable k(t) that changes with time. At this time, the force equation of the bearing seat will become:

[0072] ;

[0073] That is, the force equation will change from a differential equation with constant coefficients to a differential equation with variable coefficients, and the solution of the equation will become:

[0074] ;

[0075] The physical meaning of the solution of the above equation is: the exciting force generated by the severe dynamic imbalance of the turbine fan will cause the bearing seat to produce complex periodic motion, which can be fitted by a series of harmonic vibrations based on the fan rotation frequency.

[0076] Based on this, the present application needs to first obtain the first vibration frequency of the bearing seat and the second vibration frequency of the impeller in the turbine blower, and there is no limitation on how to obtain the two vibration frequencies.

[0077] In a feasible implementation, for the bearing seat, the vibration time domain signal of the bearing seat can be collected, and the vibration time domain signal can be converted into a frequency domain signal through fast Fourier transform to determine the first vibration frequency of the bearing seat. For example, a sensor can be installed: an acceleration sensor (such as a piezoelectric accelerometer) is installed on the surface of the bearing seat to ensure good contact. Use a dynamic signal analyzer (or vibration analyzer) to collect the vibration time domain signal. Convert the time domain signal into a frequency domain signal through fast Fourier transform (FFT) to identify the peak frequency. At the same time, the frequency domain signal can also be analyzed in the frequency domain to determine the vibration amplitude of the bearing seat.

[0078] After that, the key frequencies in the frequency domain signal are identified, such as the transition frequency (1 RPM): related to the rotor speed, the frequency is speed (RPM) / 60 (unit: Hz); and bearing defect frequency: such as rolling element passing frequency (BPFO / BPFI), cage frequency (FTF), etc., which need to be calculated according to the bearing model. Structural resonance frequency: If the vibration amplitude is found to be abnormally high, the natural frequency of the bearing seat may be excited.

[0079] As for the impeller, the second vibration frequency of the impeller can be collected by a non-contact sensor when the turbine blower is running. For example, a non-contact sensor (such as a laser vibrometer) or a strain gauge can be installed near the impeller or on the casing. Ensure that the blower is in a stable operating state (rated speed, flow) when collecting signals. The blade passing frequency can be determined by spectrum analysis, and in this process, the aerodynamic excitation frequency and structural resonance can also be considered.

[0080] In addition, when obtaining the vibration frequency of the impeller, noise such as environmental interference and electromagnetic interference should be excluded, and bandpass filtering can be used at this time.

[0081] If the vibration amplitude of the bearing seat is greater than the set standard vibration amplitude, and the frequency difference between the first vibration frequency and the second vibration frequency is less than the set threshold range, it is confirmed that the turbine blower has a dynamic imbalance fault. The set standard vibration amplitude and the set threshold range are not specifically limited here, and can be set by those skilled in the art.

[0082] After determining the dynamic imbalance of the turbine blower, the fault spectrum data of the turbine blower can be obtained. It should be noted that the fault spectrum data refers to the fault-related data obtained after confirming the dynamic imbalance of the turbine blower. For example, a vibration sensor (such as an accelerometer) can be used directly to collect vibration signals near the bearing seat, housing or impeller. Ensure that the sampling frequency is high enough (usually more than 2.56 times the highest analysis frequency) and collect sufficiently long time domain signals to improve the frequency resolution. After sampling, signal preprocessing can be performed, including but not limited to noise reduction, trend elimination, and signal segmentation processing, etc., so as to convert the time domain signal into a frequency domain signal and generate fault spectrum data.

[0083] According to the solution of the variable coefficient differential equation described above, it is shown that when a serious dynamic unbalance fault occurs in the turbine blower, it will show nonlinear vibration characteristics, and obvious harmonic characteristics will be shown in the fault diagnosis spectrum diagram. Therefore, when judging whether the fault spectrum data shows nonlinear vibration characteristics, it can be judged whether it shows nonlinear changes based on the subharmonics and fractional harmonics in the fault spectrum data, and / or the amplitude changes of the subharmonics, thereby confirming whether the fault spectrum data shows nonlinear vibration characteristics. The exciting force generated by the dynamic unbalance fault will cause the periodic motion of the bearing seat, which manifests as multi-harmonic coupled vibration. The rotation frequency and its higher harmonics may also appear in the vibration signal of the turbine blower, and these harmonic vibrations can be fitted and identified through spectrum analysis.

[0084] When performing spectrum analysis, vibration analysis and phase analysis can be included:

[0085] Vibration analysis mainly measures vibration signals through vibration sensors and analyzes their spectrum characteristics. Dynamic unbalance faults are usually manifested as a spectrum dominated by rotation frequency (1x), accompanied by high-order harmonics. The vibration magnitude changes significantly with the rotation speed, the time domain waveform is a sine wave, and the axis trajectory is an ellipse.

[0086] During phase analysis, if the phase difference between two measuring points is close to 180°, it may be dynamic unbalance caused by uneven rotor mass distribution.

[0087] See also Figure 6 , Figure 6 This is a fault spectrum diagram of a turbine blower in dynamic imbalance provided in an embodiment of the present application, wherein the horizontal axis is frequency (Hz) and the vertical axis is vibration amplitude (such as acceleration, velocity or displacement). It can be clearly seen that this is significantly different from the spectrum diagram commonly used to diagnose wind turbine dynamic imbalance faults by the magnitude of the rotation frequency energy.

[0088] If it is confirmed that the turbine blower has a shaft operation fault, a shaft operation fault handling solution can be applied to handle the shaft operation fault. This embodiment assumes that the shaft operation fault handling solution has been generated before execution, which can be used to issue a fault repair prompt:

[0089] Performing dynamic balancing correction on the impeller rotor, or inspecting the impeller blades;

[0090] Correct the concentricity of the rotor and motor.

[0091] In the actual industrial production process, shaft operation failure may be caused by the following reasons:

[0092] Mechanical imbalance: such as scaling or uneven shedding of rotor blades, resulting in uneven mass distribution; rotor processing or installation errors, resulting in uneven mass distribution; improper bearing installation or axis misalignment.

[0093] Electromagnetic imbalance: rotor winding short circuit or uneven electromagnetic parameters.

[0094] External factors: Temperature changes in the operating medium (such as blast furnace gas) lead to thermal expansion and contraction.

[0095] Troubleshooting measures can include balancing corrections, component replacements, installation parameter adjustments, and firmware maintenance;

[0096] Balancing correction refers to the dynamic balancing correction of the rotor, which is suitable for high-speed equipment. Or check the rotor blades, clean the scale or repair the blades; if the rotor winding is short-circuited or the blades are damaged, the relevant parts need to be replaced; when adjusting the installation parameters, the concentricity of the rotor and the motor can be corrected to ensure the axis is aligned; in addition, the internal debris of the equipment can be cleaned regularly, and the connectors can be checked and tightened.

[0097] The following is an exemplary description of the present application using a practical application process;

[0098] The vibration of a paper machine turbine fan increases significantly during operation. The spectrum of vibration data analysis is as follows: Figure 7 As shown, Figure 7 This is an exemplary fault spectrum diagram when the turbine blower is dynamically unbalanced provided by the present application.

[0099] The spectrum data shows obvious frequency conversion harmonic signals and typical nonlinear vibration characteristics, indicating that the stability of the oil film is destroyed and the shaft operation state is abnormal.

[0100] On-site inspection shows that the lubricating oil is normal and there is no obvious abnormal sound in the bearing seat, indicating that the bearing is normal. The process conditions are also normal, and all parameter inspections are normal, which also excludes the influence of the working conditions on the turbine blower. Based on the above theoretical analysis of the dynamic imbalance failure of the turbine blower, the preliminary diagnosis is that the turbine blower should have a serious dynamic imbalance problem.

[0101] To prevent the fault from further expanding, the turbine blower was shut down for maintenance according to the production schedule. Inspection revealed that the turbine blower impeller was severely scaled.

[0102] After the impeller was inspected and cleaned, the machine was started and the turbine operation returned to normal and the fault was eliminated.

[0103] Subsequent analysis showed that the cause of the dynamic imbalance of the turbine blower was long-term operation, fibers and other impurities attached to the impeller, and water scaling on the impeller surface. Due to failure to clean the equipment regularly according to maintenance requirements, the dynamic imbalance fault gradually intensified and eventually affected the normal operation of the turbine blower.

[0104] Due to the obvious dynamic imbalance fault, the oil film stability is destroyed, causing the turbine fan to produce obvious nonlinear vibration characteristics, and showing harmonic characteristics based on the fan rotation frequency in the vibration spectrum diagram. This is basically consistent with the fault handling process of a turbine fan described in the above embodiment of this application. After judging that the turbine fan has a serious dynamic imbalance problem, the vibration characteristic analysis of the fault frequency data is performed to judge whether there is abnormal shaft operation, so as to timely discover equipment failures and ensure safe production.

[0105] See also Figure 8 , Figure 8 A schematic diagram of a fault handling system for a turbine blower provided in an embodiment of the present application, the system comprising:

[0106] A frequency acquisition module, used for acquiring a first vibration frequency of a bearing seat and a second vibration frequency of an impeller in the turbine blower;

[0107] a fault determination module, configured to confirm that a dynamic unbalance fault occurs in the turbine blower if the vibration amplitude of the bearing seat is greater than a set standard vibration amplitude and the frequency difference between the first vibration frequency and the second vibration frequency is less than a set threshold range;

[0108] A fault data acquisition module, used for acquiring fault spectrum data of the turbine blower;

[0109] The fault handling module is used to confirm that the turbine blower has a shaft operation fault if the fault spectrum data presents nonlinear vibration characteristics, so as to apply a shaft operation fault handling solution to handle the shaft operation fault.

[0110] Based on the above embodiment, as a preferred embodiment, the frequency acquisition module includes:

[0111] A first frequency acquisition unit is used to collect a vibration time domain signal of the bearing seat, and convert the vibration time domain signal into a frequency domain signal by fast Fourier transform to determine a first vibration frequency of the bearing seat;

[0112] The second frequency acquisition unit is used to collect the second vibration frequency of the impeller by using a non-contact sensor when the turbine blower is running.

[0113] Based on the above embodiments, as a preferred embodiment, it also includes:

[0114] The amplitude detection unit is used to perform frequency domain analysis on the frequency domain signal to determine the vibration amplitude of the bearing seat.

[0115] Based on the above embodiments, as a preferred embodiment, the fault data acquisition module is a module for collecting the vibration signal of the turbine blower; generating a spectrum diagram corresponding to the vibration signal, and reading the rotation frequency, harmonics, time domain waveform and phase difference from the spectrum diagram.

[0116] Based on the above embodiments, as a preferred embodiment, it also includes:

[0117] The fault handling scheme setting module is used to generate a fault handling scheme, and the fault handling scheme is used to execute the following fault repair prompts: dynamically balance the rotor of the impeller, or detect the impeller blades; correct the concentricity of the rotor and the motor.

[0118] The present application also provides a computer-readable storage medium on which a computer program is stored, and when the computer program is executed, the steps provided in the above embodiment can be implemented. The storage medium may include: a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and other media that can store program codes.

[0119] The present application also provides a computer program product, including a computer program, which implements the steps of the fault handling method described in any of the above embodiments when executed.

[0120] The present application also provides an electronic device, see Fig. 9 , a structural diagram of an electronic device provided in an embodiment of the present application, such as Fig. 9 As shown, a processor 1410 and a memory 1420 may be included.

[0121] Among them, the processor 1410 may include one or more processing cores, such as a 4-core processor, an 8-core processor, etc. The processor 1410 may be implemented in at least one hardware form of DSP (Digital Signal Processing), FPGA (Field-Programmable Gate Array), and PLA (Programmable Logic Array). The processor 1410 may also include a main processor and a coprocessor. The main processor is a processor for processing data in the awake state, also known as a CPU (Central Processing Unit); the coprocessor is a low-power processor for processing data in the standby state. In some embodiments, the processor 1410 may be integrated with a GPU (Graphics Processing Unit), which is responsible for rendering and drawing the content to be displayed on the display screen. In some embodiments, the processor 1410 may also include an AI (Artificial Intelligence) processor, which is used to process computing operations related to machine learning.

[0122] The memory 1420 may include one or more computer-readable storage media, which may be non-transitory. The memory 1420 may also include a high-speed random access memory, and a non-volatile memory, such as one or more disk storage devices, flash memory storage devices. In this embodiment, the memory 1420 is at least used to store the following computer program 1421, wherein, after the computer program is loaded and executed by the processor 1410, it can implement the relevant steps in the method performed by the electronic device side disclosed in any of the aforementioned embodiments. In addition, the resources stored in the memory 1420 may also include an operating system 1422 and data 1423, etc., and the storage method may be temporary storage or permanent storage. Among them, the operating system 1422 may include Windows, Linux, Android, etc.

[0123] In some embodiments, the electronic device may further include a display screen 1430 , an input / output interface 1440 , a communication interface 1450 , a sensor 1460 , a power source 1470 , and a communication bus 1480 .

[0124] certainly, Fig. 9 The structure of the electronic device shown does not constitute a limitation on the electronic device in the embodiments of the present application. In actual applications, the electronic device may include Fig. 9 More or fewer components than shown, or combinations of certain components.

[0125] The various embodiments in the specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the various embodiments can be referred to each other. For the system provided in the embodiment, since it corresponds to the method provided in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part description.

[0126] Specific examples are used herein to illustrate the principles and implementation methods of the present application, and the description of the above embodiments is only used to help understand the method and core ideas of the present application. It should be pointed out that for ordinary technicians in this technical field, without departing from the principles of the present application, several improvements and modifications can be made to the present application, and these improvements and modifications also fall within the scope of protection of the present application.

[0127] It should also be noted that, in this specification, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "comprise", "include" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the statement "comprises a ..." does not exclude the presence of other identical elements in the process, method, article or device including the element.

Claims

1. A method for handling a turbine blower fault, characterized in that: include: Obtaining a first vibration frequency of a bearing seat and a second vibration frequency of an impeller in the turbine blower; If the vibration amplitude of the bearing seat is greater than the set standard vibration amplitude, and the frequency difference between the first vibration frequency and the second vibration frequency is less than a set threshold range, it is confirmed that the turbine blower has a dynamic unbalance fault; Acquiring fault spectrum data of the turbine blower; If the fault spectrum data presents nonlinear vibration characteristics, it is confirmed that the turbine blower has a shaft operation fault, so that a shaft operation fault treatment plan can be applied to treat the shaft operation fault.

2. The fault handling method according to claim 1, characterized in that: Obtaining a first vibration frequency of a bearing seat and a second vibration frequency of an impeller in the turbine blower includes: Collecting a vibration time domain signal of the bearing seat, and converting the vibration time domain signal into a frequency domain signal by fast Fourier transform, so as to determine a first vibration frequency of the bearing seat; When the turbo blower is running, a second vibration frequency of the impeller is collected by using a non-contact sensor.

3. The fault handling method according to claim 2, characterized in that: After collecting the vibration time domain signal of the bearing seat and converting the vibration time domain signal into a frequency domain signal by fast Fourier transform, the method further includes: Perform frequency domain analysis on the frequency domain signal to determine the vibration amplitude of the bearing seat.

4. The fault handling method according to claim 1, characterized in that: Acquiring the fault spectrum data of the turbine blower includes: collecting a vibration signal of the turbine blower; A frequency spectrum corresponding to the vibration signal is generated, and the rotation frequency, harmonics, time domain waveform and phase difference are read from the frequency spectrum.

5. The fault handling method according to claim 4, characterized in that: If the fault spectrum data presents nonlinear vibration characteristics, confirming that the turbine blower has a shaft operation fault includes: If the frequency spectrum diagram contains subharmonics and fractional harmonics, and / or the amplitude of the subharmonics changes nonlinearly, it is confirmed that the fault frequency spectrum data presents nonlinear vibration characteristics.

6. The fault handling method according to claim 1, characterized in that: Before applying the shaft operation fault handling solution to handle the shaft operation fault, the method further includes: Generate a fault handling plan, which is used to perform the following fault repair prompts: Performing dynamic balancing correction on the impeller rotor, or inspecting the impeller blades; Correct the concentricity of the rotor and motor.

7. A fault handling system for a turbine blower, characterized in that: include: A frequency acquisition module, used for acquiring a first vibration frequency of a bearing seat and a second vibration frequency of an impeller in the turbine blower; a fault determination module, configured to confirm that a dynamic unbalance fault occurs in the turbine blower if the vibration amplitude of the bearing seat is greater than a set standard vibration amplitude and the frequency difference between the first vibration frequency and the second vibration frequency is less than a set threshold range; A fault data acquisition module, used for acquiring fault spectrum data of the turbine blower; The fault handling module is used to confirm that the turbine blower has a shaft operation fault if the fault spectrum data presents nonlinear vibration characteristics, so as to apply a shaft operation fault handling solution to handle the shaft operation fault.

8. An electronic device, characterized in that: include: Memory for storing computer programs; A processor, configured to implement the steps of the method according to any one of claims 1 to 6 when executing the computer program.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, which implements the steps of the method according to any one of claims 1 to 6 when executed.

10. A computer program product, characterized in that The invention comprises a computer program, which implements the steps of the method according to any one of claims 1 to 6 when being executed.

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