Rotor misalignment dynamic detection method, device, system, medium and equipment

Through the principle of electrostatic induction, the electrostatic induction voltage signal during the rotor operation is collected, and a dynamic detection model is constructed, real-time detection of the rotor mismatch is realized, and the problems of traditional detection methods are time-consuming, shutdown and subjective, improving the detection efficiency and equipment operation stability.

CN120084209APending Publication Date: 2025-06-03YULIN CGN WIND POWER CO LTD +1
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Patent Information

Application Number
CN202510075107.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-01-17
Publication Date
2025-06-03

AI Technical Summary

Technical Problem

Traditional rotor mismatch detection relies on manual offline detection, which is time-consuming and labor-intensive, requires equipment shutdown, and subjective judgment factors make it difficult to accurately quantify the degree of mismatch of machinery, especially in the early stages of minor mismatch, which is difficult to detect in time.

Method used

The principle of electrostatic induction is adopted, and the electrostatic induction voltage signal of the rotor during operation is collected, pre-processed and modeled construction is carried out. Based on the dynamic detection model, real-time detection of mismatch is realized, and non-contact real-time detection is achieved.

Benefits of technology

It realizes that the rotor is not in real time without shutting down during operation, reduces production interruptions and economic costs, improves the operating efficiency and maintenance convenience of equipment, and is suitable for harsh working environments such as high speed, high temperature, and high pressure.

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Abstract

The invention discloses a rotor misalignment dynamic detection method, device and system, a medium and equipment. The method comprises the following steps: acquiring an electrostatic induction voltage signal of a rotor to be detected; preprocessing the collected electrostatic induction voltage signal of the rotor to be detected; constructing a rotor misalignment dynamic detection model; and detecting the pre-processed electrostatic induction voltage signal of the rotor to be detected based on the rotor misalignment dynamic detection model so as to obtain the misalignment amount of the rotor to be detected. Based on the electrostatic induction principle, the misalignment amount of the rotor can be effectively obtained without direct contact with the rotor.
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Description

Technical Field

[0001] This application belongs to the field of rotor drive systems, and particularly relates to a method, device, system, medium, and equipment for dynamically detecting rotor misalignment. Background Art

[0002] Traditional detection of rotor misalignment usually relies on manual off-line detection, which is not only time-consuming and laborious, but also requires the equipment to be shut down. In addition to prolonging the equipment downtime, it also increases the risk of production interruption. Moreover, manual off-line detection depends on the experience and technical level of the operator, with a large subjective judgment factor, prone to inconsistent detection results, and it is difficult to accurately quantify the degree of mechanical misalignment, especially in the initial stage of slight misalignment, it is often difficult to detect in time. Summary of the Invention

[0003] Aiming at the deficiencies in the prior art, the purpose of this application is to provide a method, device, system, medium, and equipment for dynamically detecting rotor misalignment. To achieve the above purpose, this application provides the following technical solutions: A method for dynamically detecting rotor misalignment includes: collecting the electrostatic induction voltage signal of the rotor to be measured; preprocessing the collected electrostatic induction voltage signal of the rotor to be measured; constructing a dynamic detection model for rotor misalignment; and detecting the preprocessed electrostatic induction voltage signal of the rotor to be measured based on the dynamic detection model for rotor misalignment to obtain the misalignment amount of the rotor to be measured.

[0004] In addition, this application also provides a device for dynamically detecting rotor misalignment. The device includes: a collection module for collecting the electrostatic induction voltage signal of the rotor to be measured; a preprocessing module for preprocessing the collected electrostatic induction voltage signal of the rotor to be measured; a model construction module for constructing a dynamic detection model for rotor misalignment amount; and a detection module for detecting the preprocessed electrostatic induction voltage signal of the rotor to be measured based on the dynamic detection model for rotor misalignment amount to obtain the misalignment amount of the rotor to be measured.

[0005] In addition, this application also provides a system for dynamically detecting rotor misalignment, and the system includes the device as described above.

[0006] In addition, this application also provides a device for dynamically detecting rotor misalignment, and the device includes a processor for executing the method as described above.

[0007] In addition, this application also provides a system for dynamically detecting rotor misalignment, and the system applies the method as described above.

[0008] In addition, the present application also provides a dynamic detection system for rotor misalignment. The system includes: a base, on which a rotor misalignment amount adjustment module is provided for adjusting the misalignment amount of the rotor; a driving module is also provided on the base for driving the rotor after the misalignment amount is adjusted to rotate; the system further includes a collection module for collecting the static induction voltage signals generated by the rotor during rotation.

[0009] In addition, the present application also provides a computer storage medium storing computer-executable instructions for executing the method as described above.

[0010] In addition, the present application also provides an electronic device, which includes: a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the program, the method as described above is implemented.

[0011] Compared with the prior art, the beneficial effects brought by the present application are as follows: 1. The present application can detect the misalignment amount of the rotor in real time during its operation without stopping the machine, greatly reducing the production interruption and economic cost caused by detection, and improving the operation efficiency of the equipment and the convenience of maintenance.

[0012] 2. Based on the principle of static induction, the present application can obtain the operation state information of the rotor without contacting the rotor itself, reducing the interference and potential damage to the machine itself, and is applicable to harsh working conditions such as high speed, high temperature, and high pressure. Description of the Drawings

[0013] Figure 1 is a schematic flow chart of a dynamic detection method for rotor misalignment provided by an embodiment of the present application; Figure 2 is a schematic diagram of the corresponding relationship curve between the rotor misalignment amount and the static induction voltage signal provided by another embodiment of the present application; Figure 3 is a schematic structural diagram of a dynamic detection device for rotor misalignment provided by another embodiment of the present application; Figure 4 is a schematic structural diagram of a dynamic detection system for rotor misalignment provided by another embodiment of the present application; Figure 5 is a schematic diagram of the position of the rotor and the plate housing provided by another embodiment of the present application; The description of the reference numerals is as follows: 1. Base; 2. Base seat; 3. Motor; 4. Adjusting bolt fixing seat; 5. First adjusting bolt; 6. Second adjusting bolt; 7. Motor input shaft; 8. Motor fixing seat; 9. Coupling; 10. Fixture; 11. Plate shell; 12. Rotor; 13. Bearing seat; 14. Motor output shaft; 15. PVDF friction pair; 16. Cu plate. Detailed implementation manners

[0014] The following will refer to the attached Figures 1 to 5 The specific embodiments of the present application will be described in detail. Although the specific embodiments of the present application are shown in the drawings, it should be understood that the present application can be implemented in various forms and should not be limited by the embodiments described herein. On the contrary, these embodiments are provided to enable a more thorough understanding of the present application and to fully convey the scope of the present application to those skilled in the art.

[0015] It should be noted that certain terms are used in the specification and claims to refer to specific components. Those skilled in the art should understand that technicians may use different terms to refer to the same component. The specification and claims do not use the difference in terms as a way to distinguish components, but use the difference in the functions of components as the criterion for distinction. For example, the terms "comprising" or "including" mentioned throughout the specification and claims are open-ended terms, so they should be interpreted as "including but not limited to". The subsequent description in the specification is the preferred implementation manner for implementing the present application, but the description is for the purpose of the general principles of the specification and is not used to limit the scope of the present application. The protection scope of the present application shall be determined by the scope defined by the appended claims.

[0016] For the convenience of understanding the embodiments of the present application, the following will further explain with specific embodiments as examples in conjunction with the drawings, and each drawing does not constitute a limitation to the embodiments of the present application.

[0017] Figure 1 is a schematic flow chart of a method for dynamically detecting rotor misalignment provided by an exemplary embodiment of the present application. As Figure 1 shown, the method includes the following steps: S100: Collect the electrostatic induction voltage signal of the rotor to be measured; S200: Preprocess the collected electrostatic induction voltage signal of the rotor to be measured; S300: Construct a dynamic detection model for the rotor misalignment amount; S400: Detect the preprocessed electrostatic induction voltage signal of the rotor to be measured based on the dynamic detection model for the rotor misalignment amount to obtain the misalignment amount of the rotor to be measured.

[0018] This embodiment can detect the misalignment amount of the rotor in real time during its operation without shutting down the equipment, greatly reducing production interruptions caused by detection and improving the continuous operation efficiency of the equipment.

[0019] In addition, this embodiment uses non-contact misalignment amount detection, which can reduce physical interference with the rotor and reduce possible damage during maintenance. At the same time, by constructing a dynamic detection model, the efficiency and safety of the detection process can be ensured.

[0020] In another exemplary embodiment, in step S200, the preprocessing of the electrostatic induction voltage signal of the rotor to be measured collected includes the following steps: S201: Convert the electrostatic induction voltage signal into a digital signal using an analog-to-digital converter; S202: Filter the digital signal using a filter; S203: Correct the DC offset of the filtered digital signal.

[0021] In this step, the following method can be used to correct the DC offset of the filtered digital signal: Manual calibration: Measure and record the offset value under the condition of no signal input or known reference in the system, and then subtract this offset value from all subsequent measurements.

[0022] Automatic offset correction: Use correction software to automatically identify the baseline of the signal, that is, the average value when there is no actual change, and subtract this average value from the signal in real time to achieve dynamic correction.

[0023] Average value calculation method: After the signal is stable for a period of time, calculate the average value during this period as the offset amount, and then subtract it from the original signal.

[0024] High-pass filtering method: Directly apply a digital high-pass filter to allow high-frequency signals to pass through, while the low-frequency DC offset is filtered out.

[0025] In another exemplary embodiment, in step S300, the construction of the rotor misalignment amount detection model includes the following steps: S301: Adjust the misalignment amount of the rotor; S302: Collect the electrostatic induction voltage signals corresponding to each misalignment amount adjustment of the rotor; S303: Perform time-domain analysis on the electrostatic induction voltage signal to obtain the root mean square value of the electrostatic induction voltage signal corresponding to each misalignment amount adjustment of the rotor; S304: Construct the motion equation of the rotor based on the misalignment amount of the rotor and the root mean square of the corresponding electrostatic induction voltage signal.

[0026] In this embodiment, before collecting the electrostatic induction voltage signal of the rotor, it is first necessary to install an electrostatic induction sensor on the rotor and ensure that the sensor can accurately capture the vibration or electromagnetic field changes caused by misalignment of the rotor. Secondly, it is necessary to connect the electrostatic induction sensor to a data acquisition system (such as a data acquisition card, etc.), and then it is necessary to set appropriate sampling rates, ranges, and triggering conditions to ensure the integrity and accuracy of data acquisition.

[0027] Furthermore, start the rotor and let it run in a stable state. At the same time, record the electrostatic induction voltage signal generated by the rotor under a certain misalignment amount. Then, perform a time-domain analysis on this electrostatic induction signal, and the root mean square value RMS can be obtained according to the following formula:

[0028] where, x n represents the electrostatic induction voltage value at t = n * T moment, where T is the sampling period.

[0029] The above process needs to be repeated, that is, repeat the acquisition process every time the misalignment amount of the rotor is adjusted to ensure the accuracy of the data correspondence relationship, so that the corresponding relationship between the misalignment amount of the rotor and the root mean square value RMS of the electrostatic induction voltage signal can be obtained.

[0030] Figure 2 is a schematic diagram of the corresponding relationship curve between the misalignment amount of the rotor and the root mean square value RMS of the electrostatic induction voltage signal obtained based on the above process in an exemplary embodiment of this application. As Figure 2 can be seen, the misalignment amount adjusted for the first time of the rotor is 0.05 mm, and the corresponding root mean square value RMS of the electrostatic induction voltage signal is 0.91 V. The misalignment amount adjusted for the second time is 0.10 mm, and the corresponding root mean square value RMS of the electrostatic induction voltage signal is 0.97 V. The misalignment amount adjusted for the third time is 0.15 mm, and the corresponding root mean square value RMS of the electrostatic induction voltage signal is 1.04 V. The misalignment amount adjusted for the fourth time is 0.20 mm, and the corresponding root mean square value RMS of the electrostatic induction voltage signal is 1.09 V. The misalignment amount adjusted for the fifth time is 0.25 mm, and the corresponding root mean square value RMS of the electrostatic induction voltage signal is 1.13 V. Specifically, the corresponding relationship between the misalignment amount adjustment of the rotor and the root mean square value RMS is shown in Table 1: Table 1 Misalignment amount / mm 0.05 0.10 0.15 0.20 0.25 RMS value / V 0.91 0.97 1.04 1.09 1.13 Based on Table 1, the motion equation of the rotor obtained by fitting can be expressed as: y =1.12x +0.86 Among them, x represents the misalignment amount of the rotor, y represents the root mean square value RMS of the electrostatic induction voltage signal.

[0031] Based on the measured root mean square value RMS of the electrostatic induction voltage signal of the rotor, the corresponding misalignment amount of the rotor can be obtained according to the above formula.

[0032] It should be noted that by constructing a motion equation based on the misalignment amount and the electrostatic induction voltage signal, the misalignment degree of the rotor can be accurately quantified, especially in the initial stage of slight misalignment, it can be detected in time, which is beneficial to preventing faults from occurring.

[0033] In another exemplary embodiment, as Figure 3 shown, the present application also provides a rotor misalignment dynamic detection device 100, including: An acquisition module 101 for acquiring the electrostatic induction voltage signal of the rotor to be measured; A preprocessing module 102 for preprocessing the acquired electrostatic induction voltage signal of the rotor to be measured; A model construction module 103 for constructing a rotor misalignment dynamic detection model; A detection module 104 for detecting the preprocessed electrostatic induction voltage signal of the rotor to be measured based on the rotor misalignment dynamic detection model to obtain the misalignment amount of the rotor to be measured.

[0034] In another exemplary embodiment, the preprocessing module includes: A conversion sub-module for converting the electrostatic induction voltage signal into a digital signal; A filtering sub-module for filtering the digital signal; A correction sub-module for correcting the DC offset of the filtered digital signal.

[0035] In another exemplary embodiment, the model construction module includes: An adjustment sub-module for adjusting the misalignment amount of the rotor; An acquisition sub-module for acquiring the electrostatic induction voltage signal corresponding to each adjustment of the misalignment amount of the rotor; An analysis sub-module for performing time-domain analysis on the electrostatic induction voltage signal to obtain the root mean square value of the electrostatic induction voltage signal corresponding to each adjustment of the misalignment amount of the rotor; An equation construction sub-module for constructing a motion equation of the rotor based on the misalignment amount of the rotor and the corresponding electrostatic induction voltage signal.

[0036] In another exemplary embodiment, the present application further provides a dynamic detection system for rotor misalignment, and the system includes the device as described above.

[0037] In another exemplary embodiment, the present application further provides a dynamic detection device for rotor misalignment, and the device includes a processor for executing the method as described above.

[0038] In another exemplary embodiment, the present application provides a dynamic detection system for rotor misalignment, and the system applies the method as described above.

[0039] In another exemplary embodiment, as Figure 4 shown, the present application further provides a dynamic detection system for rotor misalignment, including: Base 1, A rotor misalignment amount adjustment module is provided on the base 1 for adjusting the misalignment amount of the rotor; A driving module is further provided on the base 1 for driving the rotor after the misalignment amount is adjusted to rotate.

[0040] In this embodiment, the misalignment amount adjustment module includes a base 2 and a motor fixing seat 8. A motor 3 is provided on the base 2, and the motor 3 is fixed by the motor fixing seat 8. An adjustment bolt fixing seat 4 is provided on one side of the base 2, and a first adjustment bolt 5 and a second adjustment bolt 6 are symmetrically provided on the adjustment bolt fixing seat 4.

[0041] In this embodiment, before adjusting the misalignment amount of the rotor, it should first be ensured that the rotor is in a stationary state. Secondly, a misalignment amount value needs to be preset, and then tools such as a wrench are used to synchronously and equally screw in the adjustment bolts to ensure that parallel misalignment occurs in the rotation module during adjustment. It should be noted that during adjustment, it is necessary to ensure that the initial positions of the first adjustment bolt 5 and the second adjustment bolt 6 are the same, and the number of turns of screwing in is the same, in order to ensure the symmetry of parallel misalignment of the rotation module, that is, the center line of the rotor translates in the horizontal or vertical direction while remaining parallel to the original axis.

[0042] In addition, during the adjustment process, a laser alignment instrument needs to be used to monitor the position change of the rotation module to ensure that the adjustment process is accurate until the preset misalignment amount is reached.

[0043] It should be noted that the reason for using two adjustment bolts to adjust the misalignment amount is as follows: If only a single adjustment bolt is used, it may cause the rotor system to be skewed or unbalanced, affecting the accuracy of detection and the safe operation of the equipment. Synchronous adjustment of the two bolts can ensure that the adjustment amounts on both sides are the same, and can avoid unexpected stresses and mechanical offsets that may be caused by single-sided adjustment.

[0044] In addition, the design of two adjusting bolts facilitates the realization of more precise misalignment control. The operator can adjust the two bolts simultaneously with the assistance of a laser alignment instrument according to the predetermined misalignment amount, ensuring the repeatability and accuracy of each adjustment. This dual-bolt adjustment method enables a high degree of consistency in each test setup, which is crucial for establishing an accurate correspondence between the misalignment amount and the detection index.

[0045] In summary, during the misalignment adjustment process, the use of two bolts can restrict each other, ensuring the parallel misalignment adjustment of the rotor and avoiding rotor skew or imbalance that may be caused by single-point adjustment, thereby improving the stability and accuracy of the rotor misalignment adjustment.

[0046] The rotation module includes a bearing block 13, a perforation is provided on the bearing block 13, a motor output shaft 14 is arranged in the perforation, the motor output shaft 14 is connected to the motor 3 through a coupling 9 and a motor input shaft 7 in sequence, and a rotor 12 is arranged on the motor output shaft 14. The rotation module further includes a stator, the stator includes a fixture 10 and a plate housing 11, the plate housing 11 is arranged around the rotor 12, and a certain gap is maintained between the two. Fixing screws are circumferentially arranged on the fixture 10, and the plate housing 11 is fixed inside the fixture 10 through the fixing screws.

[0047] Furthermore, as Figure 5 shown, a PVDF friction pair 15 is pasted on the surface of the rotor 12, and a Cu plate 16 is pasted on the inner surface of the plate housing 11. When the rotor 12 rotates with the motor 3, the PVDF friction pair 15 mounted on the surface of the rotor 12 rotates together with the rotor 12. As the rotor 12 rotates, charge transfer will occur between the PVDF friction pair 15 and the Cu plate 16 inside the plate housing 11 due to the electrostatic induction effect, thereby forming a potential difference between adjacent Cu plates 16 to generate an electrostatic induction voltage signal.

[0048] In the system described in the above embodiment, the misalignment amount is detected through the electrostatic induction voltage signal generated between the surface of the rotor and the plate housing. This method does not require physical contact, can reduce interference with the rotor system itself, and is applicable to special working environments such as high speed, high temperature, and high pressure.

[0049] In another exemplary embodiment, the system further includes an acquisition module for acquiring the electrostatic induction voltage signal generated by the rotor during rotation.

[0050] In this embodiment, the acquisition module includes an oscilloscope. In this embodiment, the oscilloscope is used to collect the electrostatic induction voltage signal generated by the rotation of the rotor in real time, and further perform time-domain analysis on the collected electrostatic induction voltage signal, calculate the RMS value of the electrostatic induction voltage signal corresponding to each misalignment adjustment, and then a corresponding relationship curve between the misalignment amount and the RMS value can be constructed. When it is necessary to calculate the misalignment amount of the rotor to be measured, the RMS value of the electrostatic induction voltage signal during the rotation of the rotor to be measured can be collected, and based on the established corresponding relationship between the misalignment amount and the electrostatic induction voltage signal, the dynamic change of the misalignment amount of the rotor can be monitored and calculated.

[0051] In another exemplary embodiment, the present application also provides a computer storage medium, wherein the computer storage medium stores computer-executable instructions for executing the method as described in any of the previous paragraphs, for example, collecting the electrostatic induction voltage signal of the rotor to be measured; preprocessing the collected electrostatic induction voltage signal of the rotor to be measured; constructing a dynamic detection model for rotor misalignment; and detecting the preprocessed electrostatic induction voltage signal of the rotor to be measured based on the dynamic detection model for rotor misalignment to obtain the misalignment amount of the rotor to be measured.

[0052] In another exemplary embodiment, the present application also provides an electronic device, wherein the electronic device includes: a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein when the processor executes the program, it implements the method as described in any of the previous paragraphs, for example, collecting the electrostatic induction voltage signal of the rotor to be measured; preprocessing the collected electrostatic induction voltage signal of the rotor to be measured; constructing a dynamic detection model for rotor misalignment; and detecting the preprocessed electrostatic induction voltage signal of the rotor to be measured based on the dynamic detection model for rotor misalignment to obtain the misalignment amount of the rotor to be measured.

[0053] The present application has described the implementation scheme of the present application in detail with reference to the accompanying drawings of the specification. However, those skilled in the art should understand that the above implementation schemes are only preferred implementation examples of the present application and are not limited to the above specific implementation schemes. The detailed description is only to help readers better understand the spirit of the present application, rather than a limitation on the protection scope of the present application. On the contrary, any improvement or change made based on the inventive spirit of the present application should be included in the protection scope of the present application.

Claims

1. A method for dynamic detection of rotor misalignment, comprising: Collecting the electrostatic induction voltage signal of the rotor to be tested; Preprocessing the collected electrostatic induction voltage signal of the rotor to be tested; Construct a dynamic detection model for rotor misalignment; The preprocessed electrostatic induction voltage signal of the rotor to be tested is detected based on the rotor misalignment dynamic detection model to obtain the misalignment amount of the rotor to be tested.

2. A dynamic detection device for rotor misalignment, wherein: Preferably, the device comprises: An acquisition module, used for acquiring an electrostatic induction voltage signal of the rotor to be tested; A preprocessing module, used for preprocessing the collected electrostatic induction voltage signal of the rotor to be tested; A model building module is used to build a dynamic detection model for rotor misalignment; The detection module is used to detect the preprocessed electrostatic induction voltage signal of the rotor to be tested based on the dynamic detection model of the rotor misalignment to obtain the misalignment of the rotor to be tested.

3. A rotor misalignment dynamic detection system, wherein: The system comprises the apparatus of claim 2.

4. A dynamic detection device for rotor misalignment, wherein: The apparatus comprises a processor configured to execute the method of claim 1.

5. A rotor misalignment dynamic detection system, wherein: The system applies the method according to claim 1.

6. A rotor misalignment dynamic detection system, wherein: The system comprises: Base, The base is provided with a rotor misalignment adjustment module for adjusting the rotor misalignment; The base is also provided with a driving module for driving the rotor to rotate after the misalignment amount is adjusted; The system also includes a collection module for collecting electrostatic induction voltage signals generated by the rotor during its rotation.

7. A computer storage medium, wherein: The computer storage medium stores computer executable instructions for executing the method of claim 1 .

8. An electronic device, wherein: The electronic device comprises: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the program, the method according to claim 1 is implemented.