Method and device for monitoring slipping of bearing at driving end of nuclear power charging pump

Abstract

The invention discloses the technical field of nuclear power charging pump bearing slipping, and particularly relates to a nuclear power charging pump driving end bearing slipping monitoring method and device. The method comprises the following steps: S1, collecting a vibration signal of a driving end bearing; s2, carrying out statistical property analysis on the vibration signal, calculating an amplitude probability density function of the vibration signal, and obtaining an amplitude density peak value and a standard deviation; and S3, comparing the amplitude density peak value and the standard deviation with a preset threshold value, when the amplitude density peak value exceeds a first threshold value and the standard deviation is lower than a second threshold value, judging that the bearing has a slipping phenomenon, and generating an early warning signal. The invention further comprises a bearing slip evaluation device for implementing the method, and the device is used for recognizing the slip phenomenon in advance and taking preventive measures. According to the invention, the safety of equipment operation can be improved, the maintenance efficiency is improved, and the economic loss caused by fault shutdown is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of bearing slip of nuclear power make-up pumps, and particularly to a method and device for monitoring bearing slip at the driving end of a nuclear power make-up pump. Background Art

[0002] As a key equipment in the nuclear island, the driving end bearing of the make-up pump is prone to slip under high-speed and light-load conditions, resulting in increased wear, shortened service life, and even serious failures such as cage deformation and bearing seizure. Due to the complex service environment of the make-up pump, it is difficult to directly monitor the bearing slip state. The existing methods mainly rely on regular bearing replacement, which is time-consuming and laborious and cannot fundamentally solve the problem.

[0003] The slip rate is a key indicator for evaluating bearing slip. The existing evaluation methods include the method of measuring the cage rotation speed and the spectrum analysis method. However, the former is difficult to implement due to the sealing and safety restrictions of the make-up pump, and the latter is difficult to accurately identify the roller passing frequency due to weak signals and interference from complex structures.

[0004] Although the rolling bearing slip research test bench disclosed in CN201910570239 can simulate extreme working conditions and collect multi-parameters to study the bearing slip rate, it relies on direct measurement of internal parameters, has a complex structure and high cost, and is difficult to be applied to the closed environment of nuclear power make-up pumps. At the same time, it lacks real-time monitoring and anti-interference capabilities.

[0005] In summary, under the condition of limited test conditions, the existing methods are difficult to quantitatively evaluate the bearing slip state only relying on external vibration signals. Summary of the Invention

[0006] The present application provides a method and device for monitoring bearing slip at the driving end of a nuclear power make-up pump, which can perform real-time vibration monitoring on the driving end bearing of the make-up pump in nuclear power to obtain an accurate evaluation of the bearing slip state. In this method, detailed statistical characteristic analysis can be performed based on the collected vibration signals, and through high-precision sensors and advanced signal processing algorithms, continuous monitoring of the bearing health state can be realized, so as to identify the slip phenomenon in advance and take preventive measures. This evaluation not only increases the operation safety of the equipment, but also significantly improves the maintenance efficiency, reduces the economic losses caused by fault shutdown, and thus achieves the technical effects of improving the operation stability and safety of the nuclear power plant.

[0007] In a first aspect, an embodiment of the present application provides a method for monitoring bearing slip at the driving end of a nuclear power make-up pump, and the method may include:

[0008] S1. Collect vibration signals of the driving end bearing;

[0009] S2. Analyze the statistical characteristics of the vibration signal, calculate the amplitude probability density function of the vibration signal, and obtain the amplitude density peak and the standard deviation.

[0010] S3. Compare the amplitude density peak and the standard deviation with the preset thresholds. When the amplitude density peak exceeds the first threshold and the standard deviation is lower than the second threshold, it is determined that the bearing has a slipping phenomenon, and a warning signal is generated.

[0011] In the above implementation, by collecting the vibration signal of the drive-end bearing and performing statistical characteristic analysis to calculate the amplitude probability density function of the vibration signal and obtain the amplitude density peak and the standard deviation, accurate monitoring of the bearing slipping phenomenon is achieved, and a warning signal can be generated in a timely manner, thereby preventing possible safety accidents in advance.

[0012] In some embodiments, the vibration signal in step S1 is obtained by at least one three-axis vibration sensor installed on the outer shell of the drive-end bearing of the upper filling pump; the three-axis vibration sensor uses an acceleration sensor; the three-axis vibration sensor is used to measure the vibration signals in the vertical, horizontal, and axial directions.

[0013] In the above implementation process, by installing at least one three-axis vibration sensor on the outer shell of the drive-end bearing of the upper filling pump and using an acceleration sensor to measure the vibration signals in the vertical, horizontal, and axial directions, the accuracy of vibration signal acquisition and the reliability of monitoring are improved.

[0014] In some embodiments, in step S3, the thresholds are determined by bearing dynamic model simulation or test bench calibration, specifically including: when the bearing is in a non-slipping state, the amplitude density peak is less than or equal to 1, and the standard deviation is greater than or equal to 1; when the bearing is in a slipping state, the amplitude density peak is greater than 1, and the standard deviation is less than 1.

[0015] In the above implementation process, by setting specific thresholds based on bearing dynamic model simulation or test bench calibration, an accurate slipping evaluation criterion is provided to ensure rapid and accurate determination when the bearing slips.

[0016] In some embodiments, the method may further include: long-term monitoring of the vibration signals of at least one upper filling pump, establishing a historical reference curve of the amplitude probability density function; when the amplitude density peak of real-time monitoring deviates from the preset range of the historical reference curve, a maintenance and repair instruction is triggered.

[0017] In the above implementation process, by long-term monitoring of the vibration signals of at least one upper filling pump and establishing a historical reference curve of the amplitude probability density function, the effect of comparing real-time monitoring data with historical data is achieved. When an abnormality occurs, a maintenance and repair instruction is triggered, improving the maintenance efficiency and equipment safety.

[0018] Second aspect, an embodiment of the present application provides a monitoring device for slippage of the driving-end bearing of a nuclear power charging pump. The vibration evaluation device may include:

[0019] A vibration sensor module for collecting vibration signals of the driving-end bearing;

[0020] A signal processing module, connected to the vibration sensor module, for performing and calculating the amplitude probability density function on the vibration signal;

[0021] An evaluation module for outputting a determination result of the bearing slippage state according to the comparison result of the amplitude density peak value and the standard deviation with a preset threshold;

[0022] An early warning module, when it is determined that there is a risk of bearing slippage, generates an early warning signal and sends it to the control terminal.

[0023] In the above implementation process, by integrating an embedded processor or a computer with a bearing slippage dynamics model, the function of real-time matching of simulation data and measured vibration signals is realized, and the accuracy and real-time performance of the evaluation are improved.

[0024] In some embodiments, the signal processing module includes an embedded processor or a computer with a built-in bearing slippage dynamics model for real-time matching of simulation data and measured vibration signals.

[0025] In the above implementation process, by integrating an embedded processor or a computer with a bearing slippage dynamics model, the function of real-time matching of simulation data and measured vibration signals is realized, and the accuracy and real-time performance of the evaluation are improved.

[0026] In some embodiments, the device further includes a data storage module for recording vibration signals, spectral characteristics, historical amplitude probability density functions, and historical evaluation results.

[0027] In the above implementation process, by recording vibration signals, spectral characteristics, historical amplitude probability density functions, and historical evaluation results through the data storage module, rich historical data resources are provided for future data analysis and fault prediction, enhancing the equipment maintenance and fault diagnosis capabilities.

[0028] In some embodiments, the early warning module is connected to the control terminal through a wireless communication protocol for realizing remote real-time alarm.

[0029] In the above implementation process, through the wireless communication protocol connection between the early warning module and the control terminal, the remote real-time alarm function is realized. When a bearing slippage risk is detected, maintenance personnel can be notified immediately, so as to quickly respond to potential equipment problems.

[0030] Compared with the prior art, the beneficial effects of the present application are:

[0031] In the method of the present invention, vibration sensors are installed on the outer shell of the driving end bearing of the nuclear power charging pump to collect vibration signals and perform statistical characteristic analysis to calculate the amplitude probability density function and its statistical parameters, such as the peak value of amplitude density and standard deviation, realizing real-time and accurate monitoring of the bearing slipping state. Compared with the prior art, this non-invasive monitoring method avoids directly intervening in the internal mechanical structure, reduces the complexity and cost of implementation, and at the same time improves the maintenance efficiency and the operating safety of the equipment.

[0032] In addition, the present invention can generate warning signals immediately at the initial stage of the abnormal state, in sharp contrast to the prior art that relies on regular inspections or direct measurement of internal parameters. This real-time monitoring and warning mechanism not only reduces equipment damage or safety accidents that may be caused by sudden failures, but also greatly improves the response speed and timeliness of preventive measures, providing a reliable and economical monitoring solution for high-risk environments such as nuclear power plants. Description of the Drawings

[0033] Figure 1 It is a schematic diagram of the steps of the method for monitoring the slipping of the driving end bearing of the nuclear power charging pump in Embodiment 1 of the present invention;

[0034] Figure 2 It is a schematic diagram of the amplitude probability density function curve in Embodiment 2 of the present invention;

[0035] Figure 3 It is a schematic diagram of the amplitude change of the cage rotation speed under different radial loads in Embodiment 2 of the present invention;

[0036] Figure 4 It is a schematic diagram of the amplitude probability density function curve in Embodiment 3 of the present invention;

[0037] Figure 5 It is a schematic diagram of the amplitude change of the cage rotation speed under different radial loads in Embodiment 3 of the present invention;

[0038] Figure 6 It is a schematic diagram of the amplitude probability density function curve of the charging pump in Embodiment 4 of the present invention;

[0039] Figure 7 It is a schematic diagram of the sensor measuring point layout at the driving end of the charging pump in Embodiment 5 of the present invention;

[0040] Markings in the figure: a - charging pump, b - vibration sensor, c - driving end bearing. Detailed Embodiments

[0041] The present invention will be further described in detail below in combination with test examples and specific embodiments. However, it should not be understood that the scope of the above-mentioned subject matter of the present invention is limited to the following embodiments, and all technologies implemented based on the content of the present invention belong to the scope of the present invention.

[0042] The following further elaborates in detail on the method for monitoring bearing slip at the driving end of a nuclear power charging pump provided by the present invention in conjunction with the accompanying drawings and specific embodiments. However, this should not be construed as limiting the scope of the above-mentioned subject matter of the present invention to the following embodiments. All technologies implemented based on the content of the present invention fall within the scope of the present invention. In combination with the following description, the advantages and features of the present invention will be clearer. It should be noted that the accompanying drawings are all in a very simplified form and use non-precise scales, only for the purpose of facilitating and clearly assisting in explaining the embodiments of the present invention.

[0043] Embodiment 1

[0044] During the research process, the applicant found that when using traditional bearing monitoring methods, if immediate and accurate bearing slip monitoring is to be achieved, complex internal structure access and multi-point testing are required. These steps are not only cumbersome but also not safe for the operating environment of nuclear power plants, and usually can only rely on a pre-determined bearing replacement plan. When solving practical engineering problems, in order to achieve the technical objectives of immediate monitoring and fault warning, the prior art cannot meet the requirement of effectively monitoring the bearing state during high-speed operation. Therefore, after researching this problem, the applicant proposed a method based on vibration signal analysis. When addressing the technical problem of bearing slip monitoring at the driving end of a nuclear power charging pump, through a comprehensive sensor arrangement and data analysis technical solution, immediate and accurate assessment of bearing slip is achieved, thereby achieving the technical effects of improving safety and reducing maintenance costs.

[0045] The embodiment of the present application provides a method for monitoring bearing slip at the driving end of a nuclear power charging pump, and the method may include:

[0046] S1. Collect the vibration signal of the driving end bearing;

[0047] S2. Conduct statistical characteristic analysis on the vibration signal, calculate the amplitude probability density function of the vibration signal, and obtain the amplitude density peak value and standard deviation;

[0048] S3. Compare the comparison results of the amplitude density peak value and the standard deviation with a preset threshold. When the amplitude density peak value exceeds the first threshold and the standard deviation is lower than the second threshold, it is determined that the bearing has a slip phenomenon, and a warning signal is generated.

[0049] In the above implementation manner, by collecting the vibration signal of the driving end bearing and conducting statistical characteristic analysis to calculate the amplitude probability density function of the vibration signal and obtain the amplitude density peak value and standard deviation, accurate monitoring of the bearing slip phenomenon is achieved, and a warning signal can be generated in a timely manner, thereby preventing possible safety accidents in advance.

[0050] In some embodiments, the vibration signal in step S1 is obtained by at least one three-axis vibration sensor installed on the bearing housing at the driving end of the upper charging pump; the three-axis vibration sensor uses an acceleration sensor; the three-axis vibration sensor is used to measure the vibration signals in the vertical, horizontal, and axial directions.

[0051] In the above implementation process, by installing at least one three-axis vibration sensor on the bearing housing at the driving end of the upper charging pump and using an acceleration sensor to measure the vibration signals in the vertical, horizontal, and axial directions, the accuracy of vibration signal acquisition and the reliability of monitoring are improved.

[0052] In some embodiments, in step S3, the threshold is determined by bearing dynamics model simulation or test bench calibration, specifically including: when the bearing is in a non-slip state, the peak value of the amplitude density is less than or equal to 1, and the standard deviation is greater than or equal to 1; when the bearing is in a slip state, the peak value of the amplitude density is greater than 1, and the standard deviation is less than 1.

[0053] In the above implementation process, by setting a specific threshold based on bearing dynamics model simulation or test bench calibration, an accurate slip evaluation criterion is provided to ensure rapid and accurate determination when the bearing slips.

[0054] In some embodiments, the method may further include: long-term monitoring of the vibration signals of at least one upper charging pump to establish a historical reference curve of the amplitude probability density function; when the peak value of the amplitude density monitored in real time deviates from the preset range of the historical reference curve, a maintenance and repair instruction is triggered.

[0055] In the above implementation process, by long-term monitoring of the vibration signals of at least one upper charging pump and establishing a historical reference curve of the amplitude probability density function, the effect of comparing real-time monitoring data with historical data is achieved. When an abnormality occurs, a maintenance and repair instruction is triggered, improving the maintenance efficiency and equipment safety.

[0056] The bearing slip quantitative evaluation and control method based on vibration signals provided by the embodiments of the present application can be applied to many technical fields, such as nuclear energy, aviation, and high-speed railways, including any high-speed rotating equipment that requires precise bearing monitoring. In the above implementation manner, when controlling the slip state of the bearing of the nuclear power upper charging pump, data can be collected through three-axis vibration sensors installed at key positions, and the accurate evaluation of the bearing state can be achieved by real-time analyzing the standard deviation and the maximum value of the amplitude density of the vibration signal, so as to achieve the effect of early warning and preventing equipment failures.

[0057] The flexibility of this method allows for the adjustment of data acquisition and analysis parameters in different application scenarios to adapt to the operating characteristics of specific devices and environmental conditions. For example, in the aviation field, this technology can be used to monitor the bearing status in aircraft engines to ensure flight safety; in the high-speed rail field, this technology can help monitor the health status of train drive systems in real time and reduce train delays or accidents caused by bearing failures.

[0058] Such a control method not only improves the operating efficiency and safety of the device but also significantly reduces the maintenance costs and potential safety risks caused by the failure to detect problems in a timely manner.

[0059] Embodiment 2

[0060] As a further optimization of the previous embodiments, the embodiment of the present application provides a specific implementation method for monitoring the slippage of the bearing at the driving end of a nuclear power charging pump. Specifically, based on the simulation signals of bearing dynamics, the embodiment of the present application establishes a dynamic model for the slippage of the charging pump bearing, sets the rotational speed to 4500 r / min, and obtains the simulation vibration signals under radial loads of 1500 N, 2000 N, 2500 N, and 3500 N respectively to simulate the bearing slippage phenomenon under the service conditions of the nuclear power charging pump, so as to verify the effectiveness of this method in monitoring the bearing slippage state.

[0061] According to the simulation results, the amplitude probability density functions of the four states are calculated respectively, as Figure 2 shown. It can be observed that under the condition of a light load of 1500 N, the corresponding amplitude distribution is more concentrated, and the amplitude density value on the vertical axis is larger, about 10 times that of the amplitude density values of the other three working conditions (2000 N, 2500 N, 3500 N).

[0062] To accurately evaluate the degree of bearing slippage, the rotational speed of the cage is further obtained according to the simulation model, as Figure 3 shown. The deviation between the theoretical rotational speed of the theoretical cage and the actual rotational speed is calculated, and the cage slip rates corresponding to radial loads of 1500 N, 2000 N, 2500 N, and 3500 N at 4500 r / min are 71.91%, 3.90%, 0.68%, and 0.63% respectively.

[0063] According to the previous tests and analyses, the results corresponding to Table 1 are obtained. At 4500 r / min, the smaller the radial load, the larger the cage slip rate, and the more concentrated the distribution of the amplitude probability density function of the corresponding vibration signal (the smaller the standard deviation of the data), and the larger the amplitude density value compared to the non-slipping state (the larger the amplitude density peak). Therefore, the amplitude density peak of the bearing vibration signal in the slipping state at 4500 r / min is about 10 times that of the non-slipping state.

[0064] Table 1 Variation of bearing slip rate under different radial loads

[0065]

[0066] Example 3

[0067] As a further optimization of the previous examples, the embodiment of the present application provides a specific implementation method for monitoring the slip of the bearing at the driving end of a nuclear power charging pump based on the vibration signal of a high-speed bearing slip test bench. Specifically, an actual test platform is provided, corresponding motor speeds and radial loads are set, and through the analysis of the vibration signals obtained from experiments, the actual application effect and accuracy of the measurement technology are further verified.

[0068] Set the motor speed to 4500 r / min, and the radial loads are 1500 N, 2000 N, 2500 N, and 3500 N respectively. A total of four groups of tests are conducted to obtain the bearing vibration acceleration signals. According to the four groups of collected vibration acceleration signals, the amplitude probability density functions of the four states are calculated respectively, as Figure 4 shown. It can be observed that under the condition of a light load of 1500 N, the corresponding amplitude distribution is more concentrated, and the amplitude density value on the ordinate is larger, significantly higher than the other three heavy load conditions.

[0069] In order to accurately evaluate the slip degree of the bearing, the cage rotation speed during the actual operation of the bearing is extracted, as Figure 5 shown. Calculate the deviation between the theoretical cage rotation speed and the actual rotation speed, and obtain the cage slip rates corresponding to radial loads of 1500 N, 2000 N, 2500 N, and 3500 N at 4500 r / min as 71.98%, 3.65%, 0.74%, and 0.44% respectively.

[0070] According to the previous tests and analyses, the corresponding results in Table 2 are obtained. At 4500 r / min, the smaller the radial load, the larger the cage slip rate, and the more concentrated the distribution of the amplitude probability density function of the corresponding vibration signal (the smaller the standard deviation of the data), and the larger the amplitude density value compared to non-slip (the larger the amplitude density peak).

[0071] Table 2 Variation of bearing slip rate under different radial loads

[0072]

[0073] Example 4

[0074] As a further optimization of the previous examples, the embodiment of the present application provides a specific implementation method for monitoring the slip of the bearing at the driving end of a nuclear power charging pump based on the vibration signal of the bearing at the driving end of the nuclear power charging pump. Through the monitoring and analysis of on-site data, the stability and reliability of the technical solution under actual operating conditions are confirmed.

[0075] In order to quantitatively evaluate the slipping state of the upper charging pump bearing in on-site service, the embodiments of the present application collected the vibration acceleration signals of the driving end bearings of three upper charging pumps. The amplitude probability density curves of the 1#, 2#, and 3# upper charging pumps are shown in sequence as follows, as Figure 6 shown. From the illustrated results, it can be observed that the amplitude probability density distribution curves of the three upper charging pumps are similar, and the maximum amplitude density values are all around 0.4, without any abnormally large values.

[0076] According to the previous tests and analyses, the results corresponding to Table 3 are obtained. The amplitude probability density peaks of the three upper charging pumps are approximately 0.4, and the values of the standard deviation are around 1, indicating that the equipment is in good operating condition. On the contrary, by comparing Embodiment 2 and Embodiment 3, it can be found that when the bearing has a serious slipping phenomenon, the corresponding amplitude density peaks both exceed 1, and the standard deviation is smaller than that in the non-slipping state.

[0077] Table 3 Amplitude Probability Density Index of Upper Charging Pump

[0078]

[0079] Based on the comprehensive analysis of the simulation, experiment, and on-site data of the previous Embodiment 2, Embodiment 3, and the embodiments of the present application, a preset threshold is determined to effectively distinguish the slipping state and the normal state of the bearing. The simulation results of Embodiment 2 show that in the bearing slipping state (1500N radial load), the amplitude density peak increases significantly (7.81, greater than 1), and the standard deviation decreases significantly (0.17, less than 1); while in the non-slipping state (2000N, 2500N, 3500N radial loads), the amplitude density peak is smaller (not exceeding 0.62), and the standard deviation is larger (not less than 1.93). Embodiment 3 further verifies this law through experiments. The experimental data also show that in the slipping state, the amplitude density peak increases (1.98, greater than 1), and the standard deviation decreases (0.20, less than 1); the amplitude density peak and the standard deviation in the non-slipping state are respectively maintained in the lower and higher ranges. In addition, the on-site data of Embodiment 4 show that in the normal operating state, the values of the amplitude density peak and the standard deviation are consistent with the simulation and experimental results in the non-slipping state. These data together support the setting of the preset threshold, that is, an amplitude density peak greater than 1 and a standard deviation less than 1 can be used as the judgment basis for the slipping state, while an amplitude density peak less than or equal to 1 and a standard deviation greater than or equal to 1 correspond to the non-slipping state. Those skilled in the art can also judge the slipping state according to this threshold and can further improve the accuracy of the threshold.

[0080] It should be noted that considering factors such as the safety of nuclear power equipment, it is not allowed to test the bearing rotation speed inside the charging pump housing during work. Therefore, it is impossible to quantitatively characterize the slipping state of the bearing using the slip rate. Therefore, by means of the amplitude probability density function, the slipping state of the bearing can be effectively evaluated quantitatively. Through long-term monitoring of the charging pump, when the peak value of the amplitude probability density is abnormal (such as the peak value is abnormally large), it is considered that the health state of the bearing has changed. It is recommended that technicians in this field repair the driving end bearing of the charging pump.

[0081] Embodiment 5

[0082] This embodiment describes a slipping monitoring device for the driving end bearing of a nuclear power charging pump. This device is used to monitor and evaluate the slipping state of the driving end bearing of the nuclear power charging pump, so as to ensure the operation safety of the nuclear power plant and the reliability of the equipment. The device mainly includes the following key components:

[0083] Vibration sensor module:

[0084] Please refer to Figure 7 , Figure 7 , which is a schematic diagram of the sensor measuring point layout at the driving end of the charging pump in the embodiment of this application. This module is equipped with at least one vibration sensor, such as a three-axis acceleration sensor, which is installed on the outer shell of the driving end bearing of the nuclear power charging pump. These sensors are responsible for collecting the vertical, horizontal and axial vibration signals generated by the bearing during operation, and these signals can intuitively reflect the movement status and potential slipping phenomenon of the bearing.

[0085] Signal processing module:

[0086] Connected to the vibration sensor module, it includes an embedded processor or computer system with a built-in bearing slipping dynamics model. This module conducts statistical characteristic analysis on the collected vibration signals, calculates the amplitude probability density function, and then extracts the amplitude density peak value and standard deviation. The module design supports real-time data processing to ensure that any signs of bearing slipping can be captured in a timely manner.

[0087] Evaluation module:

[0088] This module receives the analysis results of the signal processing module and compares the amplitude density peak value and standard deviation with the preset threshold to determine whether the bearing is slipping. The preset threshold is based on extensive historical data and dynamic simulations to ensure the accuracy of the evaluation.

[0089] Early warning module:

[0090] After the assessment module confirms the bearing slip risk, the early warning module will generate an alarm signal and send this signal to the control terminal through a wireless communication protocol. This enables the maintenance team to receive the early warning in real time and take prompt measures to prevent equipment failures or safety accidents.

[0091] Data storage module:

[0092] The device also includes a data storage module responsible for recording key data such as vibration signals, spectral characteristics, historical amplitude probability density functions, and assessment results. Long-term data accumulation and analysis will enhance the ability of equipment monitoring and preventive maintenance, and improve the scientific nature and predictability of equipment management.

[0093] The collaborative work of these components constitutes a complete solution for effectively monitoring and evaluating the slip state of the bearing at the driving end of the nuclear power charging pump, providing strong technical support for the safe operation of the nuclear power plant. This monitoring device, with its high monitoring accuracy, real-time early warning ability, and powerful data support function, has become an important tool for the management of key equipment in the nuclear power plant.

[0094] Those skilled in the art should understand that the embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects.

[0095] The technical features of the above-described embodiments can be combined arbitrarily. For the sake of brevity of description, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as the scope described in this specification.

[0096] The above-described embodiments only represent several implementation manners of the present invention. Their descriptions are relatively specific and detailed, but they should not be construed as limiting the scope of the invention patent. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present invention, several modifications and improvements can still be made, and these all belong to the protection scope of the present invention. Therefore, the protection scope of the present invention patent should be subject to the appended claims.

Claims

1. A method for monitoring the bearing slippage at the driving end of a nuclear power charging pump, characterized in that: include: S1. Collect the vibration signal of the drive end bearing; S2. Analyze the statistical characteristics of the vibration signal, calculate the amplitude probability density function of the vibration signal, and obtain the amplitude density peak value and standard deviation; S3. Compare the amplitude density peak value and standard deviation with the preset threshold value. When the amplitude density peak value exceeds the first threshold value and the standard deviation is lower than the second threshold value, it is determined that the bearing is slipping and a warning signal is generated.

2. The skid monitoring method according to claim 1, characterized in that: In step S1, the vibration signal is obtained by at least one three-way vibration sensor installed on the bearing housing of the driving end of the charging pump; the three-way vibration sensor adopts an acceleration sensor; the three-way vibration sensor is used to measure vertical, horizontal and axial vibration signals.

3. The skid monitoring method according to claim 1, characterized in that: In step S3, the threshold is determined by bearing dynamics model simulation or test bench calibration, specifically including: when the bearing is not slipping, the amplitude density peak is less than or equal to 1, and the standard deviation is greater than or equal to 1; when the bearing is slipping, the amplitude density peak is greater than 1, and the standard deviation is less than 1.

4. The skid monitoring method according to claim 1, characterized in that: The method also includes: long-term monitoring of the vibration signal of at least one charging pump to establish a historical reference curve of the amplitude probability density function; when the real-time monitored amplitude density peak value deviates from a preset range of the historical reference curve, triggering a maintenance and repair instruction.

5. A nuclear power charging pump drive end bearing slip monitoring device, characterized in that: include: A vibration sensor module is used to collect vibration signals of the drive-end bearing; A signal processing module, connected to the vibration sensor module, for performing statistical characteristic analysis on the vibration signal and calculating an amplitude probability density function; An evaluation module, used for outputting a determination result of a bearing slip state based on a comparison result of an amplitude density peak value and a standard deviation with a preset threshold value; The early warning module generates an early warning signal and sends it to the control terminal when it is determined that the bearing is at risk of slipping.

6. The vibration evaluation device according to claim 5, characterized in that The signal processing module includes an embedded processor or a computer with a built-in bearing slip dynamics model for real-time matching of simulation data and measured vibration signals.

7. The vibration evaluation device according to claim 5, characterized in that The device also includes a data storage module for recording vibration signals, frequency spectrum features, historical amplitude probability density functions and historical evaluation results.

8. The vibration evaluation device according to claim 5, characterized in that The early warning module is connected to the control terminal via a wireless communication protocol to realize remote real-time alarm.

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