Intelligent monitoring method for running state of electric vibration test system

Abstract

The invention discloses an intelligent monitoring method for the running state of an electric vibration test system, and belongs to the field of electric vibration test system monitoring. According to the method, a piezoelectric sensor array is arranged on an outer side metal protective shell of a driving coil of the electric vibration test system, admittance signals are obtained, debonding sensitive signals are calculated from the admittance signals, and a coil debonding threshold value is constructed according to the debonding sensitive signals to judge the debonding condition and degree of the driving coil and the outer side metal protective shell. Meanwhile, distributed optical fiber temperature sensors are uniformly arranged in the winding direction of the driving coil, a Gaussian radial basis function of the driving coil is constructed, and dynamic reconstruction and abnormal temperature rise point positioning are carried out on a temperature field of the driving coil. According to the invention, early fault early warning can be realized in the initial debonding stage of the driving coil and the outer metal protective shell, and temperature rise abnormity can be identified and positioned in time, so that the working state of the electric vibration test system can be accurately evaluated, and the safety and reliability of the system can be ensured.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of electric vibration test system monitoring, in particular to an intelligent monitoring method for the running state of an electric vibration test system. BACKGROUND

[0002] As a key performance test equipment in modern engineering and scientific research fields, the electric vibration test system can generate high-frequency vibration, accurately simulate complex working conditions, and comprehensively test the stress of the test piece, and is widely used in precision maintenance and rapid evaluation, performance improvement, and reliability and durability testing of industrial mother machines, mobile phones, new energy vehicles, etc. The drive coil is the core power component of the electric vibration test system, which can generate high-frequency excitation force by inputting alternating current, and then drive the electric vibration test system to move. However, the drive coil is easily subject to debonding phenomenon during operation under the influence of high-frequency vibration excitation, which causes the drive coil to separate from the outer metal protective shell, resulting in drive failure and even major equipment damage, causing serious economic losses. At the same time, under the conditions of high-frequency alternating excitation and long-time continuous operation, the drive coil is prone to overheating, which affects its working stability and service life.

[0003] In recent years, with the development of sensor technology, some debonding and temperature monitoring methods have been proposed. The application with the patent publication number CN107091880A discloses a metal matrix composite debonding detection method by placing an electromagnetic ultrasonic bulk wave transducer on the surface of the metal matrix, analyzing the reflected echo signal transformation of the bonding surface, and judging the material debonding condition. However, the internal space of the electric vibration test system is too small to place the electromagnetic ultrasonic bulk wave transducer, so it cannot be used for drive coil debonding monitoring. The application with the patent publication number CN119958710A discloses a large-thrust vibration table double-layer drive coil temperature detection method and system, which arranges thermocouple temperature sensors at different positions of the double-layer drive coil, and uses fixed slope and variable slope fitting functions to estimate the inner layer temperature, which has achieved good results. However, due to the internal structure of the electric vibration test system, too many thermocouple temperature sensors cannot be arranged, and the temperature monitoring effect still has room for further improvement.

[0004] The above research shows that there is a lack of effective method for monitoring the debonding and abnormal temperature rise point of the drive coil in the actual application of the electric vibration test system. SUMMARY

[0005] The present application aims to provide an intelligent monitoring method for the running state of an electric vibration test system, which can effectively identify the debonding state of the drive coil and the outer metal protective shell, realize early fault warning in the early stage of debonding, and comprehensively obtain the temperature information of the drive coil, timely identify and accurately locate the abnormal temperature rise point, which is beneficial to timely maintenance and management of the equipment by enterprises, and has practical significance.

[0006] The solution provided by the present invention is an intelligent monitoring method for the operating status of an electrodynamic vibration test system, which includes the following: S1. Arrange the piezoelectric sensor and the distributed optical fiber temperature sensor on the surface of the metal protective shell outside the drive coil; S2. applying high-frequency excitation to the piezoelectric sensor, collecting the piezoelectric sensor admittance signal using an impedance analyzer, and calculating the debonding sensitive signal based on the piezoelectric sensor admittance signal; S3. Establishing a coil debonding threshold based on the debonding sensitive signal to determine the debonding condition and degree between the drive coil and the outer metal protective shell; S4. Establishing a Gaussian radial basis function for the drive coil and combining it with the discrete temperature data collected by the distributed fiber optic temperature sensor to establish an initial temperature field for the drive coil; S5. Dynamically adjust the parameters of the Gaussian radial basis function model of the driving coil according to the temperature change of the driving coil, dynamically reconstruct the temperature field of the driving coil, and locate the abnormal temperature rise point of the driving coil.

[0007] Furthermore, the arrangement method of the piezoelectric sensor and the distributed optical fiber temperature sensor in S1 is that the piezoelectric sensor is arranged on the surface of the outer metal protective shell outside the driving coil in an axial layered manner, and each layer is arranged at equal angles along the circumferential direction. Several piezoelectric sensors are arranged at intervals, and a predetermined spacing is maintained between adjacent axial layers. ,The distributed optical fiber temperature sensor is spirally wound between adjacent piezoelectric sensors, covering the surface of the outer metal protective shell.

[0008] Furthermore, the high frequency excitation range in S2 is ~ Hz, the extraction process of the debonding sensitive signal is as follows: First, the collected admittance signal is recorded as :

[0009] Where, represents the real part of the acquired admittance signal, represents the imaginary part of the acquired admittance signal, is the imaginary unit, is the excitation frequency, 、 、 are the length, width and height of the piezoelectric sensor respectively, is the piezoelectric constant, , is the complex Young's modulus of the piezoelectric sensor, is the mechanical loss factor, , is the complex dielectric constant of the piezoelectric sensor, is the dielectric loss factor, is the mechanical impedance of the piezoelectric sensor, is the impedance of the structure to be measured, is the bonding coefficient, which is used to reflect the effect of the adhesive on the admittance signal. , is the piezoelectric sensor density; Admittance signal Decompose to obtain debonding sensitive items Non-sensitive items for debonding ,in It is composed of structural impedance and sensor material parameters. Under the influence of both, when the drive coil and the outer metal protective shell are debonded, it will directly have an impact, and It is only related to the material parameters of the piezoelectric sensor and is less affected by debonding:

[0010]

[0011] From the above formula, we can see that 、 、 The following relations are satisfied:

[0012] Will and Expand 、 , is the dielectric loss factor, is the mechanical loss factor, and is brought into the above formula to obtain:

[0013] Will Recorded as ,Will Recorded as , and Substituting the expression into the above formula, we can further obtain:

[0014] remember for 、 for ,set up and The plural form of 、 , we can get and Expression, record the extracted Debinding sensitive signal:

[0015] Further, the coil debinding threshold in S3 is recorded as , whose expression is:

[0016] Wherein is the excitation frequency corresponding to the th data point, represents the real part of the debinding sensitive signal when there is no debinding, represents the imaginary part of the debinding sensitive signal when there is no debinding, when the coil debinding threshold monitored by a certain piezoelectric sensor , it is judged that there is slight debinding in the area with the piezoelectric sensor as the center and the radius of , when , it is judged that there is moderate debinding in the same area, when , it is judged that there is severe debinding in the area, .

[0017] Further, the distributed optical fiber temperature sensor sensing point spacing in S4 is , that is, every is a temperature measuring point along the axial direction of the distributed optical fiber temperature sensor, and the temperature value collected by each temperature measuring point is recorded as , is the total length of the distributed optical fiber temperature sensor, and at the same time, the bottom center of the outer metal protective shell is taken as the origin to establish a cylindrical coordinate system on the surface of the outer metal protective shell for representing the coordinates of each temperature measuring point; The expression of the driving coil Gaussian radial basis function is:

[0018] Wherein , are the height coordinate and angle coordinate of any point on the surface of the outer metal protective shell in the cylindrical coordinate system, , is the coordinate of the th temperature measuring point in the cylindrical coordinate system, since in the cylindrical coordinate system, the radius coordinate of any point on the surface of the outer metal protective shell is equivalent to the geometric radius of the protective shell, it can be ignored in calculation, is the initial height direction width parameter, is the initial angle direction width parameter; According to the driving coil Gaussian radial basis function, the driving coil temperature field reconstruction equation is established:

[0019] in Indicates the temperature of any point in the driving coil, For the The weight coefficient of the Gaussian radial basis function of each temperature measurement point; The temperature field reconstruction equation of the driving coil is established based on the Gaussian radial basis function of the driving coil:

[0020] in Indicates the temperature of any point in the driving coil, For the The weight coefficient of the Gaussian radial basis function of each temperature measurement point; Subsequently, the Gaussian basis function weight coefficient optimization objective is introduced, and the optimal weight coefficient is obtained by minimizing the optimization objective. ,Will By substituting the temperature field reconstruction equation of the driving coil into the equation, the temperature value of any point in the driving coil can be calculated, thereby establishing the initial temperature field of the driving coil:

[0021] in It represents the sum of the square differences of the weight coefficients of two adjacent heights at the same angle. The sum of the square differences of the weight coefficients of two adjacent angles at the same height, is a penalty factor used to balance fitting accuracy and smoothness.

[0022] Furthermore, the method for dynamically adjusting the Gaussian radial basis function model parameters and locating the abnormal temperature rise point of the drive coil in S5 is as follows: C1: Divide the surface of the metal protective shell outside the driving coil into equal parts along the height direction. parts, divided equally along the arc direction parts, thus dividing the entire surface into Each rectangular area is considered as a separate monitoring unit, and the height average temperature gradient measured by the distributed optical fiber temperature sensor located in each rectangular monitoring unit is calculated. , angular average temperature gradient :

[0023] in Indicates the number of distributed optical fiber temperature sensor measurement points in the rectangular monitoring unit, is the column number, Indicates the number of rows of distributed optical fiber temperature sensor measuring points in the rectangular monitoring unit, is the row number, a temperature gradient between adjacent temperature sensor measurement points in the same row, a temperature gradient between adjacent temperature sensor measurement points in the same column; C2: when a first set threshold is exceeded or a second set threshold is exceeded , it is determined that the temperature rise speed in the height direction or the angle direction in the region is too fast, the region is set as a potential temperature rise abnormal region, and the height direction width parameter of the Gaussian radial basis function in the region is adaptively adjusted or the width parameter , wherein is an angle direction sensitivity coefficient, wherein is a height direction sensitivity coefficient, thereby enhancing the local sensitivity of the Gaussian radial basis function in the rectangular monitoring unit, and further capturing the temperature abnormality in the region; C3: the Gaussian radial basis function weight coefficient is recalculated according to the new width parameter, and the temperature field of the driving coil is reconstructed, and the temperature field reconstruction equation after the width parameter is updated is:

[0024] wherein represents the Gaussian radial basis function of the temperature measurement point in the rectangular monitoring unit; C4: if the temperature of a certain point in the temperature field exceeds the abnormal temperature value , it is marked as a driving coil abnormal temperature rise point and an alarm prompt is given.

[0025] Advantages of the present application: (1) The debonding sensitive signal calculated by the monitoring method of the present application and the coil debonding threshold set effectively remove the useless information in the original admittance signal, improve the pertinence of debonding detection, and can accurately identify even if the driving coil and the outer metal protective shell only have slight debonding; (2) The traditional driving coil temperature monitoring mostly uses thermocouples, which has problems such as discrete monitoring points and limited number of monitoring points. The present application uses a distributed optical fiber temperature sensor, which can measure the temperature of hundreds of positions on the surface of the driving coil with only a single optical fiber, reconstruct the entire driving coil temperature field, and comprehensively analyze the overall temperature of the driving coil; (3) The driving coil temperature monitoring method proposed by the present application can automatically detect potential temperature rise abnormal regions and adaptively adjust the width parameter of the Gaussian basis function, thereby accurately positioning the driving coil temperature abnormal points. BRIEF DESCRIPTION OF DRAWINGS

[0026] Figure 1 is a flowchart of the intelligent monitoring method of the operation state of the electric vibration test system of the present application.

[0027] Figure 2 This is a schematic diagram of the installation of the piezoelectric sensor and the distributed optical fiber temperature sensor of the present invention.

[0028] Figure 3 It is a schematic diagram of the process of dynamically adjusting the parameters of the Gaussian radial basis function model and locating the abnormal temperature rise point of the drive coil in the present invention.

[0029] Figure 4 Schematic diagram of the rectangular temperature monitoring unit of the present invention.

[0030] In the figure: outer metal protective shell 1, driving coil 2, distributed optical fiber temperature sensor 3, piezoelectric sensor 4. DETAILED DESCRIPTION

[0031] In order to make the objectives, technical solutions and advantages of the present invention more clear, the present invention is described in detail below with reference to the accompanying drawings.

[0032] Taking a certain type of electric vibration test system drive coil as an example, the embodiment of the present invention is described in detail. The diameter and height of the electric vibration test system drive coil are both 1.6 meters, the outer metal protective shell is made of aluminum alloy, the drive coil uses enameled wire, and the adhesive is epoxy resin. Figures 1-2 , an intelligent monitoring method for the operating status of an electric vibration test system is as follows: S1. The piezoelectric sensor 4 and the distributed optical fiber temperature sensor 3 are arranged on the surface of the outer metal protective shell 1 outside the drive coil 2; refer to Figure 2 The arrangement method of the piezoelectric sensor 4 and the distributed optical fiber temperature sensor 3 in S1 is as follows: the piezoelectric sensor 4 is arranged in an axial layered manner on the surface of the outer metal protective shell 1 outside the driving coil 2, and each layer is configured with several piezoelectric sensors 4 at equal angles of 15° along the circumferential direction, and a predetermined spacing of 0.2m is maintained between adjacent axial layers. The distributed optical fiber temperature sensor 3 is spirally wound between adjacent piezoelectric sensors 4, covering the surface of the outer metal protective shell 1.

[0033] S2. applying high-frequency excitation to the piezoelectric sensor 4 and collecting the admittance signal of the piezoelectric sensor 4 through an impedance analyzer, and calculating the debonding sensitive signal based on the admittance signal of the piezoelectric sensor 4; The high-frequency excitation range in S2 is 100kHz ~ 300kHz, and the extraction process of the debonding sensitive signal is as follows: First, the collected admittance signal is recorded as :

[0034] Where, represents the real part of the acquired admittance signal, represents the imaginary part of the collected admittance signal, is the imaginary unit, is the excitation frequency, and the remaining parameters are as follows: , , , , , ; decomposes the admittance signal into a debonding-sensitive term and a debonding-insensitive term , where is composed of the structural impedance and the sensor material parameters, and is jointly affected by both, will be directly affected when debonding occurs between the drive coil 2 and the outer metal protective shell 1, while is only related to the material parameters of the piezoelectric sensor 4 and is less affected by debonding:

[0035]

[0036] From the above formula, it can be seen that , , satisfy the following relationship:

[0037] , and are expanded as , , where , , , and are brought into the above formula to further obtain:

[0038] , is denoted as , is denoted as , and the expression is brought into the above formula to further obtain:

[0039] , is denoted as , is denoted as , and and are denoted as , , which are brought into the above formula to obtain​ and Expression, record the extracted Debonding sensitive signal:

[0040] S3. Determine the debonding condition and degree of debonding between the drive coil 2 and the outer metal protective shell 1 by constructing a coil debonding threshold based on the debonding sensitive signal; The coil debonding threshold in S3 is recorded as , whose expression is:

[0041] in For the The excitation frequency corresponding to the data point is represents the real part of the debonding sensitive signal when there is no debonding, Indicates the imaginary part of the debonding sensitive signal when there is no debonding. When a certain piezoelectric sensor 4 detects the coil debonding threshold When the piezoelectric sensor 4 is the center of the circle, the radius is There is a slight debonding in the area. When , it is judged that there is moderate debonding in the same area. When , it is judged that there is serious debonding in this area.

[0042] S4 establishes the driving coil Gaussian radial basis function, combines the discrete temperature data collected by the distributed optical fiber temperature sensor 3, and establishes the initial temperature field of the driving coil; The distance between the sensing points of the distributed optical fiber temperature sensor 3 in S4 is , that is, along the axial direction of the distributed optical fiber temperature sensor 3, each distance is a temperature measurement point, and the temperature value collected at each temperature measurement point is recorded as , is the total length of the distributed optical fiber temperature sensor 3. At the same time, with the center of the bottom of the outer metal protective shell 1 as the origin, a cylindrical coordinate system is established on the surface of the outer metal protective shell 1 to represent the coordinates of each temperature measurement point; The expression of the driving coil Gaussian radial basis function is:

[0043] in 、 are the height coordinate and angle coordinate of any point on the surface of the outer metal protective shell 1 in the cylindrical coordinate system, 、 is the first The coordinates of the temperature measurement points are as follows: In the cylindrical coordinate system, the radius coordinate of any point on the surface of the outer metal protective shell 1 is equal to the geometric radius of the protective shell, so it can be ignored in the calculation. is the initial height direction width parameter, is the initial angle direction width parameter; The temperature field reconstruction equation of the driving coil is established based on the Gaussian radial basis function of the driving coil:

[0044] in Indicates the temperature of any point of driving coil 2, For the The weight coefficient of the Gaussian radial basis function of each temperature measurement point; Subsequently, the Gaussian basis function weight coefficient optimization objective is introduced, and the optimal weight coefficient is obtained by minimizing the optimization objective. ,Will By substituting the temperature field reconstruction equation of the driving coil into the equation, the temperature value of any point of the driving coil 2 can be calculated, thereby establishing the initial temperature field of the driving coil:

[0045] in is the data fitting term. By minimizing this term, the temperature value calculated by the weight coefficient can be made as close to the actual temperature value as possible, thereby improving the temperature prediction accuracy. is the adjacent weight coefficient smoothing term, which is used to reduce the difference between adjacent weights, reduce the sudden change of the temperature field, make it more consistent with the physical law of the temperature distribution of the drive coil, and ensure the smoothness of the temperature field distribution. It represents the sum of the square differences of the weight coefficients of two adjacent heights at the same angle. The sum of the square differences of the weight coefficients of two adjacent angles at the same height, is a penalty factor used to balance fitting accuracy and smoothness.

[0046] S5. Dynamically adjust the parameters of the Gaussian radial basis function model of the drive coil according to the temperature change of the drive coil, dynamically reconstruct the temperature field of the drive coil, and locate the abnormal temperature rise point of the drive coil; refer to Figure 3 The specific method for dynamically adjusting the parameters of the Gaussian radial basis function model in S5 and locating the abnormal temperature rise point of the drive coil 2 is as follows: C1: Divide the surface of the outer metal protective shell 1 outside the driving coil 2 into equal parts along the height direction. parts, divided equally along the arc direction parts, thus dividing the entire surface into rectangular areas, each rectangular area is regarded as a separate monitoring unit. The schematic diagram of the rectangular monitoring unit is as followsFigure 4 the height average temperature gradient measured by the distributed optical fiber temperature sensor 3 located in each rectangular monitoring unit is calculated , the angle average temperature gradient :

[0047] wherein represents the number of columns of measuring points of the distributed optical fiber temperature sensor 3 in the rectangular monitoring unit, is the column number, represents the number of rows of measuring points of the distributed optical fiber temperature sensor 3 in the rectangular monitoring unit, is the row number, is the temperature gradient between adjacent measuring points of the distributed optical fiber temperature sensor 3 in the same row, is the temperature gradient between adjacent measuring points of the distributed optical fiber temperature sensor 3 in the same column; C2: when exceeds a set threshold or exceeds a set threshold , it is determined that the temperature rise speed in the height direction or the angle direction in the region is too fast, the region is set as a potential temperature rise abnormal region, and the height direction width parameter or the width parameter of the Gaussian radial basis function in the region is adaptively adjusted, wherein is the angle direction sensitivity coefficient, wherein is the height direction sensitivity coefficient, thereby enhancing the local sensitivity of the Gaussian radial basis function in the rectangular monitoring unit and further capturing the temperature abnormality in the region; C3: the Gaussian radial basis function weight coefficient is recalculated according to the new width parameter, and the temperature field of the driving coil is reconstructed, and the temperature field reconstruction equation after the width parameter is updated is:

[0048] wherein represents the Gaussian radial basis function of the temperature measuring point in the rectangular monitoring unit; C4: if the temperature of a certain point in the temperature field exceeds 60℃, it is marked as an abnormal temperature rise point of the driving coil 2, and an alarm prompt is given.

[0049] It should be noted that the above specific embodiments of the present application are only used to exemplarily illustrate the principles and processes of the present application, and do not constitute a limitation on the present application. Therefore, any modification and equivalent replacement made without departing from the spirit and scope of the present application shall be included in the protection scope of the present application.

Claims

1. An intelligent monitoring method for the operating status of an electrodynamic vibration test system, characterized by: Here’s how: S1. Arrange the piezoelectric sensor and the distributed optical fiber temperature sensor on the surface of the metal protective shell outside the drive coil; S2. applying high-frequency excitation to the piezoelectric sensor, collecting the piezoelectric sensor admittance signal using an impedance analyzer, and calculating the debonding sensitive signal based on the piezoelectric sensor admittance signal; S3. Establishing a coil debonding threshold based on the debonding sensitive signal to determine the debonding condition and degree between the drive coil and the outer metal protective shell; S4. Establishing a Gaussian radial basis function for the drive coil and combining it with the discrete temperature data collected by the distributed fiber optic temperature sensor to establish an initial temperature field for the drive coil; S5. Dynamically adjust the parameters of the Gaussian radial basis function model of the driving coil according to the temperature change of the driving coil, dynamically reconstruct the temperature field of the driving coil, and locate the abnormal temperature rise point of the driving coil.

2. The method for intelligently monitoring the operating status of an electrodynamic vibration test system according to claim 1, characterized in that: The sensor arrangement method in S1 is as follows: the piezoelectric sensors are arranged on the surface of the outer metal protective shell outside the driving coil in an axial layered manner, and each layer is arranged at equal angles along the circumferential direction. Several piezoelectric sensors are arranged at intervals, and a predetermined spacing is maintained between adjacent axial layers. ,The distributed optical fiber temperature sensor is spirally wound between adjacent piezoelectric sensors, covering the surface of the outer metal protective shell.

3. The method for intelligently monitoring the operating status of an electrodynamic vibration test system according to claim 1, characterized in that: The high frequency excitation range in S2 is ~ Hz.

4. The method for intelligently monitoring the operating status of an electrodynamic vibration test system according to claim 1 or 3, characterized in that: The extraction process of the debonding sensitive signal is as follows: First, the collected admittance signal is recorded as : ； Where, represents the real part of the acquired admittance signal, represents the imaginary part of the acquired admittance signal, is the imaginary unit, is the excitation frequency, 、 、 are the length, width and height of the piezoelectric sensor respectively, is the piezoelectric constant, , is the complex Young's modulus of the piezoelectric sensor, is the mechanical loss factor, , is the complex dielectric constant of the piezoelectric sensor, is the dielectric loss factor, is the mechanical impedance of the piezoelectric sensor, is the impedance of the structure to be measured, is the bonding coefficient, which is used to reflect the effect of the adhesive on the admittance signal. , is the piezoelectric sensor density; Admittance signal Decompose to obtain debonding sensitive items Non-sensitive items for debonding ; ； ； From the above formula, we can see that 、 、 The following relationship is satisfied: ； Will and Expand 、 , and then bring it into the above formula to get: ； Will Recorded as ,Will Recorded as , and Substituting the expression into the above formula, we can further obtain: ； remember for 、 for ,set up and The plural form of 、 , we can get and Expression, record the extracted Debonding sensitive signal: 。 5. The method for intelligently monitoring the operating status of an electrodynamic vibration test system according to claim 4, characterized in that: The coil debonding threshold in S3 is recorded as , whose expression is: ； in For the The excitation frequency corresponding to the data point is represents the real part of the debonding sensitive signal when there is no debonding, Indicates the imaginary part of the debonding sensitive signal when there is no debonding. When a piezoelectric sensor detects the coil debonding threshold When the piezoelectric sensor is the center of the circle, the radius is There is a slight debonding in the area. When , it is judged that there is moderate debonding in the same area. When the value is 0, it is judged that there is serious debonding in the area. .

6. The method for intelligently monitoring the operating status of an electrodynamic vibration test system according to claim 2, characterized in that: The distance between the sensing points of the distributed optical fiber temperature sensor in S4 is , that is, along the axial direction of the distributed optical fiber temperature sensor, each distance is a temperature measurement point, and the temperature value collected at each temperature measurement point is recorded as , is the total length of the distributed optical fiber temperature sensor. Taking the center of the bottom circle of the outer metal protective shell as the origin, a cylindrical coordinate system is established on the surface of the outer metal protective shell to represent the coordinates of each temperature measurement point. The driving coil Gaussian radial basis function expression is: ； in 、 are the height coordinate and angle coordinate of any point on the surface of the metal protective shell in the cylindrical coordinate system, 、 is the first The coordinates of the temperature measurement points are negligible in the calculation because in the cylindrical coordinate system, the radius coordinate of any point on the surface of the metal protective shell is equal to the geometric radius of the protective shell. is the initial height direction width parameter, is the initial angle direction width parameter.

7. The method for intelligently monitoring the operating status of an electrodynamic vibration test system according to claim 6, characterized in that: The temperature field reconstruction equation of the driving coil is established based on the Gaussian radial basis function of the driving coil: ； in Indicates the temperature of any point in the driving coil, For the The weight coefficient of the Gaussian radial basis function of each temperature measurement point; Subsequently, the Gaussian basis function weight coefficient optimization objective is introduced, and the optimal weight coefficient is obtained by minimizing the optimization objective. ,Will By substituting the temperature field reconstruction equation of the driving coil into the equation, the temperature value of any point in the driving coil can be calculated, thereby establishing the initial temperature field of the driving coil: ； in is the data fitting term. By minimizing this term, the temperature value calculated by the weight coefficient can be made as close to the actual temperature value as possible, thereby improving the temperature prediction accuracy. is the adjacent weight coefficient smoothing term, which is used to reduce the difference between adjacent weights, reduce the sudden change of the temperature field, make it more consistent with the physical law of the temperature distribution of the drive coil, and ensure the smoothness of the temperature field distribution. It represents the sum of the square differences of the weight coefficients of two adjacent heights at the same angle. The sum of the square differences of the weight coefficients of two adjacent angles at the same height, is a penalty factor used to balance fitting accuracy and smoothness.

8. The method for intelligently monitoring the operating status of an electrodynamic vibration test system according to claim 7, characterized in that: The method for dynamically adjusting the Gaussian radial basis function model parameters in S5 and locating the abnormal temperature rise point of the drive coil is as follows: C1: Divide the surface of the metal protective shell outside the driving coil into equal parts along the height direction. parts, divided equally along the arc direction parts, thus dividing the entire surface into Each rectangular area is considered as a separate monitoring unit, and the height average temperature gradient measured by the distributed optical fiber temperature sensor located in each rectangular monitoring unit is calculated. , angular average temperature gradient : ； in Indicates the number of distributed optical fiber temperature sensor measurement points in the rectangular monitoring unit, is the column number, Indicates the number of rows of distributed optical fiber temperature sensor measuring points in the rectangular monitoring unit, is the row number, is the temperature gradient between adjacent temperature sensor points in the same row, is the temperature gradient between adjacent temperature sensor measurement points in the same column; C2: When Exceeding the first set threshold or Exceeding the second set threshold When the temperature rise rate in the height direction or angle direction in the area is judged to be too fast, the area is set as a potential abnormal temperature rise area, and the height direction width parameter of the Gaussian radial basis function in the area is adaptively adjusted. or width parameter ,in is the angular sensitivity coefficient, where is the height directional sensitivity coefficient, which enhances the local sensitivity of the Gaussian radial basis function within the rectangular monitoring unit and thus captures the temperature anomaly in the area; C3: Recalculate the Gaussian radial basis function weight coefficient according to the new width parameter and reconstruct the temperature field of the driving coil. The temperature field reconstruction equation after the width parameter is updated is: ； in Gaussian radial basis functions representing temperature measurement points within a rectangular monitoring unit; C4: If the temperature of a certain point in the temperature field exceeds the abnormal temperature value , marked as the abnormal temperature rise point of the drive coil, and an alarm prompts.

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