Insulation bearing power frequency voltage withstanding characteristic detection tool

Abstract

The invention discloses a tool for detecting the power frequency withstand voltage characteristic of an insulating bearing, and belongs to the technical field of detection, and the tool comprises a workbench, a bearing outer ring electrode mechanism, a bearing outer ring electrode mechanism and a bearing outer ring electrode mechanism, the bearing inner ring electrode mechanism is used for supplying a bearing inner ring electrode; the detection adaptation system is used for acquiring state data, environment data and detection state data of the insulating layer of the outer ring of the bearing; constructing an insulating layer analysis model to output an insulating layer state coefficient; constructing an environment state analysis model to output an environment state coefficient; constructing a state environment evaluation model according to the insulating layer state coefficient and the environment state coefficient to obtain a state environment evaluation coefficient; constructing a detection state model to obtain a detection state coefficient; and performing threshold judgment on the detection state coefficient, importing the current outer ring pressing force, the detection state coefficient and the state environment evaluation coefficient into a constructed pressing force adjustment model according to a judgment result, outputting a target outer ring pressing force, and adjusting the current outer ring pressing force.

Description

Technical Field

[0001] The present invention belongs to the field of detection technology, and particularly relates to a detection tool for the power frequency withstand voltage characteristics of an insulated bearing. Background Art

[0002] As an important component in key electrical equipment, the power frequency withstand voltage characteristics of the insulating layer of an insulated bearing are directly related to the safety and reliability of the equipment. Traditional detection methods mostly adopt a static test mode, applying voltage through fixed electrodes and monitoring the insulation performance. For example, a detection tool for the power frequency withstand voltage characteristics of an insulated bearing proposed in the publication number CN114739807A, which adopts a static test mode and presses the bearing to be tested into the test bearing installation cavity of the test bearing installation seat through a press, may cause damage to the insulating layer of the outer ring of the bearing.

[0003] However, in actual working conditions, factors such as the centrifugal force, vibration generated during bearing operation, and changes in environmental temperature and humidity will significantly affect the state of the insulating layer. Traditional methods are difficult to dynamically adapt to these complex variables, resulting in deviations in the detection results.

[0004] In addition, the existing technology lacks real-time comprehensive evaluation of the defects of the insulating layer (such as defect area and depth) and environmental parameters, and the adjustment of the electrode pressing force depends on manual experience, with low efficiency and poor consistency.

[0005] Therefore, there is an urgent need for a high-precision detection device that can integrate dynamic adjustment and multi-parameter collaborative analysis to improve the accuracy and adaptability of the detection of the withstand voltage characteristics of insulated bearings. Summary of the Invention

[0006] Aiming at the deficiencies of the existing technology, the present invention provides a detection tool for the power frequency withstand voltage characteristics of an insulated bearing, which solves the above problems.

[0007] To achieve the above objectives, the present invention is realized through the following technical solutions: A detection tool for the power frequency withstand voltage characteristics of an insulated bearing, including a workbench, further including:

[0008] An outer ring electrode mechanism of the bearing, installed on the workbench, used for supplying electrodes to the outer ring of the bearing and driving the outer ring of the bearing to rotate;

[0009] An inner ring electrode mechanism of the bearing, installed on the workbench, used for driving the inner ring of the bearing to be positioned and rotated and supplying electrodes to it;

[0010] A detection adaptation system, used for dynamically adjusting the outer ring pressing force, including:

[0011] A data acquisition module, used for acquiring the state data, environmental data, and detection state data of the insulating layer of the outer ring of the bearing;

[0012] The insulation layer status analysis module constructs an insulation layer analysis model based on the status data and outputs an insulation layer status coefficient;

[0013] The environmental status analysis module constructs an environmental status analysis model based on the environmental data and outputs an environmental status coefficient;

[0014] The status and environment evaluation module performs threshold judgment on the insulation layer status coefficient and the environmental status coefficient, and constructs a status and environment evaluation model according to the judgment result to obtain a status and environment evaluation coefficient;

[0015] The detection status analysis module constructs a detection status model based on the detection status data to obtain a detection status coefficient;

[0016] The counter pressure adjustment module performs threshold judgment on the detection status coefficient, and imports the current outer ring counter pressure, the detection status coefficient, and the status and environment evaluation coefficient into the constructed counter pressure adjustment model according to the judgment result, outputs the target outer ring counter pressure, and adjusts the current outer ring counter pressure.

[0017] Based on the above technical solutions, the present invention also provides the following optional technical solutions:

[0018] Further technical solution: The bearing outer ring electrode mechanism includes electrode block A, and electrode block A is fixedly connected to pressure sensor A fixedly connected with mounting plate A, mounting plate A is fixedly connected to the output shaft of linear motion member A fixedly connected to the workbench, and further includes:

[0019] The pushing assembly is installed on the workbench and drives electrode block A to selectively press against the bearing outer ring under the drive of linear motion member A, and includes a push cylinder, motor A, support frame and connecting rod. The push cylinder is rotatably installed on the support frame and fixedly connected to the output shaft of motor A detachably installed on the support frame. The support frame is hinged to the hinge seat installed on the output shaft of linear motion member A. One end of the connecting rod is hinged to the lower end of the push cylinder, and the other end is hinged to the workbench through a plug rod. A wind guide ring is rotatably connected to the upper part of the push cylinder. The push cylinder is of a hollow structure and is provided with a plurality of through holes.

[0020] Further technical solution: The bearing inner ring electrode mechanism includes electrode block B, and further includes:

[0021] The positioning and rotating assembly is installed on the workbench and is used to push the electrode block B to press against the inner ring of the bearing and drive the inner ring of the bearing to rotate relative to the outer ring of the bearing. It includes a motor B and a mounting seat. The mounting seat is fixedly connected to the output shaft of the motor B that is detachably installed in the middle of the workbench. A linear motion part B is embedded in the mounting seat, and the output shaft of the linear motion part B is fixedly connected to a mounting plate B with a pressure sensor B fixedly connected thereto. The pressure sensor B is fixedly connected to the electrode block B. A conductive block is embedded in it, and the conductive block contacts a slip ring rotatably installed on the mounting seat. The conductive block is electrically connected to the electrode block B through a telescopic conductive column.

[0022] Further technical solution: The state data of the insulating layer includes the defect area and the defect depth. The environmental data includes the temperature and the humidity. The detected state data includes the inner ring pressing force, the outer ring pressing force, the bearing rotation centrifugal force, and the vibration amplitude.

[0023] Further technical solution: The specific working steps of the insulating layer state analysis module are as follows: The defect area and the defect depth are processed by taking their ratios with their maximum allowable values to obtain a defect area index and a defect depth index, and the defect area index and the defect depth index are weighted to obtain an insulating layer state coefficient.

[0024] Further technical solution: The temperature and the humidity are respectively processed by taking their ratios with the corresponding reference environmental data to obtain a temperature index and a humidity index, and the temperature index and the humidity index are weighted to obtain an environmental state coefficient.

[0025] Further technical solution: The specific working steps of the state environment evaluation module are as follows:

[0026] The insulating layer state coefficient and the environmental state coefficient are respectively compared with the corresponding insulating layer state coefficient threshold and environmental state coefficient threshold. If either of them is not within the corresponding threshold, the detection is stopped. If both are within the corresponding threshold, the environmental state coefficient and the insulating layer state coefficient are imported into the constructed state environment evaluation model to output a state environment coefficient. The state environment model is expressed as:

[0027] K ins-env =1-(w1K ins +w2K env )

[0028] Wherein, K ins-env represents the state environment evaluation coefficient, K ins represents the insulating layer state coefficient, K env represents the environmental state coefficient, w1 and w2 represent weight coefficients and w1 + w2 = 1.

[0029] Further technical solution: The specific working steps of the detection status analysis module are as follows:

[0030] Perform ratio processing on the outer ring contact pressure, inner ring contact pressure, bearing rotation centrifugal force, and vibration amplitude in the detection status data respectively with the corresponding allowable maximum values to obtain the outer ring contact pressure index, inner ring contact pressure index, bearing rotation centrifugal force index, and vibration index;

[0031] Analyze the matching degree of the outer ring contact pressure and the inner ring contact pressure under the current vibration index and combine with the centrifugal force index to obtain the contact pressure analysis coefficient:

[0032] K sta =α mod tanh(F cen )

[0033] Among them, K sta represents the contact pressure analysis coefficient, α mod represents the matching degree of the outer ring contact pressure and the inner ring contact pressure, F cen bearing rotation centrifugal force index;

[0034] α mod represents the matching degree of the outer ring contact pressure and the inner ring contact pressure, expressed as:

[0035]

[0036] Among them, F out represents the outer ring contact pressure index, F in represents the inner ring contact pressure index, V represents the vibration index, represents the covariance term of the outer ring contact pressure and the inner ring contact pressure.

[0037] Further technical solution: The specific working steps of the contact pressure adjustment module are expressed as:

[0038] Construct a contact pressure adjustment model based on the current contact pressure, detection status coefficient, and state environment evaluation coefficient;

[0039] Compare the obtained contact pressure coefficient with the preset contact pressure coefficient threshold. If the obtained contact pressure coefficient is not within the coefficient threshold, an adjustment message is formed;

[0040] Import the current contact pressure, detection status coefficient, and state environment evaluation coefficient into the contact pressure adjustment model according to the adjustment message to output the target outer ring contact pressure, and adjust the current outer ring contact pressure to the target outer ring contact pressure;

[0041] The contact pressure adjustment model is expressed as:

[0042] F tar =F cur (1 + Ksta K ins-env )

[0043] Among them, F tar represents the target outer ring contact pressure, and F cur represents the current outer ring contact pressure, and K sta represents the detection status coefficient, and K ins-env represents the status environment evaluation coefficient.

[0044] The present invention provides a detection tooling for the power frequency withstand voltage characteristics of an insulating bearing, which has the following beneficial effects compared with the prior art:

[0045] 1. The detection tooling for the power frequency withstand voltage characteristics of an insulating bearing provided by this application realizes dynamic rotation testing through the inner and outer ring electrode mechanisms of the bearing, combines the detection and adaptation system to analyze the insulation layer status, environmental parameters and detection data in real time, and dynamically adjusts the outer ring contact pressure, solving the problems of insulation layer damage and detection deviation caused by traditional static testing, and having the advantages of adapting to complex working conditions and improving detection accuracy. Description of the Drawings

[0046] Figure 1 It is a three-dimensional structure schematic diagram of the present invention.

[0047] Figure 2 It is a schematic diagram of the distribution structure of each component in the present invention.

[0048] Figure 3 It is a schematic diagram of the structure of the outer ring electrode mechanism of the bearing in the present invention.

[0049] Figure 4 It is a schematic diagram of the structure of the inner ring electrode mechanism of the bearing in the present invention.

[0050] Figure 5 It is a working flow chart of the detection and adaptation system in the present invention.

[0051] Annotation of the reference numerals in the drawings: 1. Workbench; 2. Outer ring electrode mechanism of the bearing; 201. Electrode block A; 202. Linear motion part A; 203. Mounting plate A; 204. Pressure sensor A; 205. Pushing component; 2051. Pushing cylinder; 2052. Motor A; 2053. Support frame; 2054. Connecting rod; 2055. Hinge seat; 2056. Plug rod; 2057. Air guide ring; 3. Inner ring electrode mechanism of the bearing; 301. Electrode block B; 302. Positioning and rotating component; 3021. Motor B; 3022. Mounting seat; 3023. Linear motion part B; 3023. Linear motion part B; 3025. Pressure sensor B; 3026. Conductive block; 3027. Slip ring. Detailed Embodiments

[0052] In order to make the objectives, technical solutions and advantages of the present invention more clear and understandable, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0053] The specific implementation of the present invention will be described in detail below with reference to specific embodiments.

[0054] Please refer to Figures 1 to 4 , a power frequency withstand voltage characteristic detection tooling for an insulating bearing provided by an embodiment of the present invention, includes a workbench 1, and further includes:

[0055] An outer ring electrode mechanism 2 of the bearing, installed on the workbench 1, for supplying electrodes to the outer ring of the bearing and driving the outer ring of the bearing to rotate;

[0056] An inner ring electrode mechanism 3 of the bearing, installed on the workbench 1, for driving the inner ring of the bearing to be positioned and rotated and supplying electrodes to it;

[0057] Preferably, the outer ring electrode mechanism 2 of the bearing includes an electrode block A201, the electrode block A201 is fixedly connected to a pressure sensor A204 fixedly connected with a mounting plate A203, the mounting plate A203 is fixedly connected to the output shaft of a linear motion member A202 fixedly connected to the workbench 1, and further includes:

[0058] The pushing component 205 is installed on the workbench 1 and drives the electrode block A201 to selectively press against the outer ring of the bearing under the drive of the linear moving part A202. It includes a push cylinder 2051, a motor A2052, a support frame 2053 and a connecting rod 2054. The push cylinder 2051 is rotatably installed on the support frame 2053 and is fixedly connected to the output shaft of the motor A2052 detachably installed on the support frame 2053. The support frame 2053 is hinged to the hinge seat 2055 installed on the output shaft of the linear moving part A202. One end of the connecting rod 2054 is hinged to the lower end of the push cylinder 2051 and the other end is hinged to the workbench 1 through a plug rod 2056. A wind guide ring 2057 is rotatably connected to the upper part of the push cylinder 2051. The push cylinder 2051 is of a hollow structure and is provided with a plurality of through holes. The linear moving part A2022 is used to pull the electrode block A201 to move outwards. At this time, the output shaft of the linear moving part A202 pulls the two support frames 2053 through the hinge seat 2055 to drive the push cylinder 2051 installed on the two support frames 2053 to close until the push cylinder 2051 abuts against the outer ring of the bearing. At this time, the motor A2052 is started to drive the push cylinder 2051 to rotate. The push cylinder 2051 pushes the outer ring of the bearing to rotate relative to the inner ring of the bearing defined by the inner ring electrode mechanism 3. At this time, the vision device installed on the workbench 1 is used to detect the defect area and defect depth of the insulating layer of the outer ring of the bearing. At the same time, the negative pressure device connected to the wind guide ring 2057 is started to cause a negative pressure to be formed between the inside and the outside environment of the push cylinder 2051, so as to adsorb and clean the dust or adhesives on the insulating layer of the outer ring of the bearing, and improve the accuracy of the power frequency withstand voltage characteristic detection. After the detection and cleaning of the outer insulating layer are completed, the linear moving part A202 is started to push the electrode block A201 to move linearly inwards. At this time, the two support frames 2053 push the two motors A2052 to expand and move away from the outer ring of the bearing. At this time, the electrode block A201 presses against the insulating layer of the outer ring of the bearing under the push of the linear moving part A202. The pressing force of the electrode block A201 on the insulating layer of the outer ring of the bearing is regulated by the pressure sensor A204;

[0059] Preferably, a rubber leather sleeve with holes is sleeved on the push cylinder 2051. The purpose of this setting is to protect the insulating layer of the outer ring of the bearing and prevent the outer insulating layer from being scratched when the push cylinder 2051 rotates.

[0060] Specifically, the electrode block A201 is connected to the linear moving part A202 through the pressure sensor A204. The linear motion of the linear moving part A202 drives the electrode block A201 to contact or disengage from the outer ring of the bearing. The pressure sensor A204 feeds back the contact pressure in real time, and the linear moving part A202 adjusts the position of the electrode block A201 according to the feedback to achieve dynamic control of the contact pressure. In the pushing assembly, the motor A2052 drives the push cylinder 2051 to rotate. The push cylinder 2051 is connected to the hinge seat 2055 of the linear moving part A202 through the support frame 2053, so that the position where the electrode block A201 presses against the outer ring of the bearing can be dynamically adjusted. One end of the connecting rod 2054 is hinged to the lower end of the push cylinder 2051, and the other end is fixed to the workbench through the plug rod 2056, forming a multi-degree-of-freedom adjustment mechanism to adapt to outer rings of bearings with different diameters. The hollow structure and through-hole design of the push cylinder 2051 allow air flow to pass through. The air guide ring 2057 rotates with the push cylinder 2051 to guide the air flow to accelerate heat dissipation and cool the outer ring of the bearing, reducing the temperature of the contact area between the electrode block A201 and the outer ring of the bearing.

[0061] Compared with the prior art, the traditional detection tooling uses a fixed press to apply static pressure, resulting in easy damage to the insulating layer and inability to adapt to the centrifugal force and vibration generated by the rotation of the bearing. This solution realizes real-time adjustment of the contact pressure through the closed-loop control of the pressure sensor A204 and the linear moving part A202, avoiding damage to the insulating layer caused by excessive pressure. The multi-degree-of-freedom mechanism composed of the push cylinder A2051 and the connecting rod 2054 enables the electrode block A201 to dynamically adjust its position along with the outer ring of the bearing, adapting to different sizes of bearings and dynamic working conditions. The air guide ring 2057 and the through-hole structure enhance the heat dissipation efficiency and solve the problem of decreased test accuracy caused by temperature rise in the traditional solution.

[0062] Through the above technical solution, the present application realizes real-time dynamic adjustment of the contact pressure between the electrode block A201 and the outer ring of the bearing, avoiding damage to the insulating layer caused by excessive static pressure. The multi-degree-of-freedom adjustment mechanism can adapt to outer rings of bearings with different sizes and dynamic rotation conditions, ensuring the stability of electrode contact. The collaborative heat dissipation design of the push cylinder A2051 and the air guide ring 2057 effectively reduces the temperature rise in the detection area and improves the reliability of long-term testing.

[0063] Preferably, the inner ring electrode mechanism 3 of the bearing includes an electrode block B301, and further includes:

[0064] The positioning and rotating assembly 302 is installed on the workbench 1 and is used to push the electrode block B301 to press against the inner ring of the bearing and drive the inner ring of the bearing to rotate relative to the outer ring of the bearing. It includes a motor B3021 and a mounting seat 3022. The mounting seat 3022 is fixedly connected to the output shaft of the motor B3021 that is detachably installed in the middle of the workbench 1. A linear motion part B3023 is embedded in the mounting seat 3022, and the output shaft of the linear motion part B3023 is fixedly connected to a mounting plate B3024 to which a pressure sensor B3025 is fixedly connected. The pressure sensor B3025 is fixedly connected to the electrode block B301. A conductive block 3026 is embedded in the 302, and the conductive block 3026 is in contact with a slip ring 3027 rotatably installed on the mounting seat 3022. The conductive block 3026 is electrically connected to the electrode block B301 through a telescopic conductive column (which can be a spring-loaded pin conductive column). The linear motion part B3023 is used to push the mounting plate B3024 to drive the electrode block B301 to press against the inner ring of the bearing, and the pressure sensor B3025 is used to detect in real time the pressing force applied by the electrode block B301 to the inner ring of the bearing until the pressing force is within the inner ring pressing force threshold. At this time, the motor B3021 is started to drive the mounting seat 3022 to rotate, and the mounting seat 3022 pushes the linear motion part B3023 to drive the electrode block B301 to push the inner ring of the bearing to rotate relative to the outer ring of the bearing that is limited by the electrode structure of the outer ring of the bearing.

[0065] Specifically, the motor B3021 drives the entire mounting seat 3022 to rotate through the output shaft, so that the inner ring of the bearing rotates synchronously with the electrode block B301. The linear motion part B3023 pushes the mounting plate B3024 to move axially. The pressure sensor B3025 monitors in real time the pressing force of the electrode block B301 on the inner ring of the bearing and feeds the data back to the control system. When it is detected that the pressure deviates from the set value, the linear motion part B3023 automatically adjusts the displacement to correct the contact pressure. The contact conductive design of the conductive block 3026 and the slip ring 3027 enables the continuous transmission of electric energy to the electrode block B301 during the rotation process, avoiding the electric spark interference generated by traditional sliding contacts. The telescopic conductive column generates elastic deformation during axial movement, which not only ensures the movement freedom of the electrode block B301 but also maintains the integrity of the conductive circuit. The linear motion part B3023 and the pressure sensor B3025 integrated inside the mounting seat form a closed-loop control system. Through the real-time interaction of mechanical displacement and electrical signals, the coordinated operation of precise adjustment of the pressing force and rotation control is realized.

[0066] Compared with the prior art, traditional detection devices usually adjust the electrode position manually by turning a knob, which cannot achieve dynamic pressure compensation and results in test results being affected by the operator's experience. In this solution, through the closed-loop control of the pressure sensor B3025 and the linear drive B3023, automatic and precise adjustment of the contact pressure is achieved, eliminating human error. In the prior art, the rotating electrode is mostly powered by a drag chain cable, which is prone to cable entanglement and breakage during high-speed rotation. In this solution, a contact conductive structure of the slip ring 3027 and the conductive block 3026 is adopted to ensure stable power transmission under rotating conditions. The inner ring positioning mechanism of the traditional device lacks an axial pressure feedback mechanism, resulting in poor electrode contact or overload damage. In this solution, through the linkage control of the pressure sensor B3025 and the linear motion member B3023, the contact pressure is always maintained within the safe threshold.

[0067] Through the above technical solution, the contact pressure of the electrode block B301 against the inner ring of the bearing can be dynamically adjusted through a closed-loop control system, avoiding pressure deviation caused by manual adjustment and improving the consistency of the detection process. The continuous contact between the conductive block 3026 and the slip ring 3027 under the rotating state ensures the stability of the electrode power supply and eliminates the risk of signal interruption caused by traditional cable entanglement. The synergistic effect of the pressure sensor B3025 and the linear motion member B3023 keeps the electrode contact pressure within the optimal range in real time, preventing an increase in contact resistance due to insufficient pressure or damage to the insulating layer due to excessive pressure. The rigid connection structure between the mounting seat 3022 and the motor B3021 ensures the smoothness of the rotating motion of the inner ring of the bearing, enabling the power frequency withstand voltage test to be carried out under the rotating state simulating the actual working conditions, and the detection results are closer to the real application scenario.

[0068] In an embodiment of the present invention, a linear moving member B3023 is used to push an installation plate B3024 to drive an electrode block B301 to press against the inner ring of the bearing, and a pressure sensor B3025 is used to detect in real time the pressing force applied by the electrode block B301 to the inner ring of the bearing until the pressing force is within the inner ring pressing force threshold, so as to position and limit the bearing. At this time, a linear moving member A2022 is used to pull the electrode block A201 outward. At this time, the output shaft of the linear moving member A202 pulls two support frames 2053 through a hinge seat 2055 to drive the push cylinders 2051 installed on the two support frames 2053 to close until the push cylinders 2051 abut against the outer ring of the bearing. At this time, the motor A2052 is started to drive the push cylinders 2051 to rotate, and the push cylinders 2051 push the outer ring of the bearing to rotate relative to the inner ring of the bearing defined by the inner ring electrode mechanism 3. At this time, a vision device installed on the workbench 1 is used to detect the defect area and defect depth of the insulating layer of the outer ring of the bearing. At the same time, a negative pressure device connected to the air guide ring 2057 is started to cause a negative pressure to be formed inside the push cylinders 2051 and the external environment, so as to adsorb and clean the dust or adhesives on the insulating layer of the outer ring of the bearing, improving the accuracy of the power frequency withstand voltage characteristic detection. After the detection and cleaning of the outer insulating layer are completed, the linear moving member A202 is started to push the electrode block A201 to move linearly inward. At this time, the two support frames 2053 push the two motors A2052 to expand and move away from the outer ring of the bearing. At this time, the electrode block A201 presses against the insulating layer of the outer ring of the bearing under the push of the linear moving member A202, and the pressing force of the electrode block A201 on the insulating layer of the outer ring of the bearing is regulated by a pressure sensor A204. At this time, the motor B3021 is started to drive the mounting seat 3022 to rotate, and the mounting seat 3022 pushes the linear moving member B3023 to drive the electrode block B301 to push the inner ring of the bearing to rotate relative to the outer ring of the bearing limited by the outer ring electrode structure. At this time, the electrode block A201 and the electrode block B301 are energized to perform the power frequency withstand voltage characteristic detection on the bearing.

[0069] Embodiment 2

[0070] In the prior art, the power frequency withstand voltage detection of insulating bearings generally adopts a static test mode, applying voltage through fixed electrodes and monitoring the insulation performance. However, in actual operation, the bearing needs to withstand dynamic working conditions such as centrifugal force, vibration, and temperature and humidity changes. The traditional static test cannot effectively simulate the real working conditions, resulting in the deviation of the detection results from the actual performance. For example, a fixed pressing force is likely to cause poor electrode contact or overload damage to the insulating layer under dynamic loads, and manual adjustment of the pressing force has problems of low efficiency and poor consistency. At the same time, the existing methods only focus on a single parameter, lacking multi-dimensional collaborative analysis of insulating layer defects, environmental parameters, and operating states, and it is difficult to accurately evaluate the degradation trend of insulation performance under comprehensive working conditions.

[0071] Please refer to Figure 5, as an embodiment of the present invention, further includes: a detection and adaptation system for dynamically adjusting the outer ring pressing force, including:

[0072] A data acquisition module for acquiring the state data of the insulating layer of the bearing outer ring, environmental data, and detection state data;

[0073] An insulating layer state analysis module for constructing an insulating layer analysis model based on the state data and outputting an insulating layer state coefficient;

[0074] An environmental state analysis module for constructing an environmental state analysis model based on the environmental data and outputting an environmental state coefficient;

[0075] A state and environment evaluation module for performing threshold judgment on the insulating layer state coefficient and the environmental state coefficient and constructing a state and environment evaluation model according to the judgment result to obtain a state and environment evaluation coefficient;

[0076] A detection state analysis module for constructing a detection state model based on the detection state data to obtain a detection state coefficient;

[0077] A pressing force adjustment module for performing threshold judgment on the detection state coefficient and importing the current outer ring pressing force (the current outer ring pressing force is within the outer ring pressing force threshold), the detection state coefficient, and the state and environment evaluation coefficient into the constructed pressing force adjustment model to output the target outer ring pressing force and adjust the current outer ring pressing force.

[0078] Preferably, the state data of the insulating layer includes the defect area and the defect depth, the environmental data includes the temperature and the humidity, and the detection state data includes the inner ring pressing force, the outer ring pressing force, the bearing rotation centrifugal force, and the vibration amplitude;

[0079] Among them, the defect area refers to the area of the damaged region on the surface or inside of the insulating layer. Specifically, image recognition technology or laser scanning technology can be used for real-time measurement to quantify the risk of local breakdown of the insulating layer. The defect depth refers to the dimension of the damaged region of the insulating layer in the thickness direction. Specifically, an ultrasonic thickness gauge or a micron-level probe can be used for dynamic acquisition to evaluate the structural integrity of the insulating layer. The temperature refers to the real-time temperature value of the detection environment. Specifically, a patch-type temperature sensor can be used for continuous monitoring to reflect the thermal attenuation effect of the dielectric properties of the insulating material. The humidity refers to the real-time relative humidity value of the detection environment. Specifically, a capacitive humidity sensor can be used for dynamic acquisition to evaluate the influence of the environment on the surface conductivity of the insulating material. The inner ring contact pressure refers to the real-time acting force on the contact surface between the inner ring of the bearing and the electrode block B301, and the outer ring contact pressure refers to the real-time acting force on the contact surface between the outer ring of the bearing and the electrode block A201. Specifically, they can be synchronously measured by a pressure sensor to characterize the electrode contact stability and the electrical conduction state. The bearing rotation centrifugal force refers to the radial inertial force generated when the bearing rotates, and the vibration amplitude refers to the mechanical vibration intensity when the bearing is running. Specifically, an acceleration sensor combined with a rotational speed measuring device can be used for joint acquisition to reflect the mechanical stress distribution under dynamic working conditions.

[0080] Specifically, through the synchronous acquisition of the defect area and the defect depth, a three-dimensional damage model of the insulating layer can be constructed to accurately identify potential breakdown paths. The real-time monitoring of temperature and humidity can establish a dynamic correlation between material properties and environmental variables to predict the change trend of insulation resistance. The coordinated measurement of the inner ring contact pressure and the outer ring contact pressure, combined with the dynamic data of centrifugal force and vibration amplitude, can establish a contact pressure-mechanical stress coupling model to correct the real-time fluctuation of the electrode contact impedance. These three types of data respectively construct a multi-source data set from three dimensions: the material body characteristics, the operating environment, and the dynamic load. Through data fusion analysis, multi-dimensional parameter inputs are provided for the subsequent adjustment of the contact pressure, solving the problem of error accumulation caused by traditional single-parameter evaluation.

[0081] Compared with the prior art, traditional detection methods only collect static insulation resistance values and fixed pressure parameters, and cannot reflect the attenuation of material properties and the change of contact state under dynamic operating conditions. This solution overcomes the evaluation deviation caused by the lack of data dimensions in traditional methods by introducing multi-dimensional coordinated acquisition of defect geometric parameters, environmental variables, and dynamic mechanical parameters, and establishing a full-element monitoring system covering material characteristics - environmental conditions - mechanical states.

[0082] Through the above technical solution, this application realizes the quantitative characterization of the defect morphology of the insulating layer, the dynamic tracking of environmental impacts, and the real-time monitoring of mechanical loads, provides multi-dimensional data support for the precise adjustment of the electrode contact pressure, and effectively improves the integrity of parameter acquisition and the accuracy of state evaluation during the detection process.

[0083] Preferably, the specific working steps of the insulating layer state analysis module are as follows:

[0084] The defect area and defect depth are processed by taking ratios with their maximum allowable values to obtain a defect area index and a defect depth index, and the defect area index and the defect depth index are weighted to obtain an insulating layer state coefficient.

[0085] Specifically, during the detection process, by collecting defect area and depth data in real time, and respectively performing normalization processing with the pre-set maximum allowable values, dimensionless defect area index and defect depth index are obtained. Subsequently, a first weight value is assigned according to the influence degree of the defect area on the insulation performance, and a second weight value is assigned according to the influence degree of the defect depth on the breakdown risk. After weighted summation of the two indices, an insulating layer state coefficient is generated. This coefficient can dynamically characterize the comprehensive severity of the insulating layer defects, provide a standardized input for subsequent detection parameter adjustment, and avoid adjustment lag or inaccuracy caused by single-parameter evaluation or static threshold judgment.

[0086] Compared with the prior art, traditional methods usually only make isolated judgments using the absolute values of the defect area or depth, without considering the synergistic effect between the two and the evaluation benchmark differences of bearings of different specifications. However, in this solution, the size specification differences are eliminated through ratio processing, and then a multi-dimensional defect evaluation model is constructed through weighted processing, enabling the insulating layer state coefficient to more comprehensively reflect the dynamic characteristics of the defects, thereby providing an accurate basis for the real-time adjustment of the electrode contact pressure.

[0087] Through the above technical solution, the present application realizes the real-time quantitative evaluation of the defect area and depth of the insulating layer, effectively solving the problem of inaccurate adjustment of detection parameters caused by the lack of dynamic comprehensive evaluation in traditional methods. By eliminating the influence of bearing specification differences on defect evaluation and establishing a collaborative analysis model for defect area and depth, the insulating layer state coefficient can accurately reflect the deterioration trend of the insulation performance under actual working conditions, providing reliable data support for subsequent dynamic adjustment of detection parameters.

[0088] Specifically, the temperature index is calculated by the ratio of the real-time temperature to the reference temperature, and the humidity index is calculated by the ratio of the real-time humidity to the reference humidity. During the weighted processing, the temperature index and the humidity index are respectively multiplied by the corresponding weight coefficients and then summed to generate an environmental state coefficient that comprehensively reflects the dynamic changes of the environment. This coefficient can quantitatively characterize the overall influence degree of the current environment on the insulating layer performance, providing data support for subsequent dynamic adjustment of detection parameters. For example, when the environmental temperature rises abnormally, the temperature index increases and the environmental state coefficient is increased through weighted calculation, thereby triggering the contact pressure adjustment module to reduce the outer ring electrode contact pressure to avoid overheating damage to the insulating layer.

[0089] Compared with the prior art, traditional detection methods usually only use environmental parameters as static reference values and do not establish a quantitative correlation between the dynamic changes of the environment and the detection parameters, resulting in the inability to perform adaptive adjustment according to the real-time fluctuations of temperature and humidity during the detection process. Through the combination of ratio processing and weighted calculation, this solution converts environmental parameters into evaluation indicators that can dynamically reflect the degree of their influence on the insulating layer, effectively solving the problem of dynamic interference of environmental factors on detection accuracy.

[0090] Through the above technical solution, this application can dynamically adjust detection parameters according to the real-time changes of environmental parameters, eliminate the interference of temperature and humidity fluctuations on the detection of the withstand voltage characteristics of the insulating layer, and avoid misjudgment or missed detection caused by environmental factors. At the same time, the introduction of weighted processing quantifies the differences in the influence of different environmental factors on the detection results, further improving the adaptability and reliability of the detection system.

[0091] Preferably, the specific working steps of the environmental state analysis module are as follows:

[0092] Perform ratio processing on the temperature and humidity respectively with the corresponding reference environmental data to obtain a temperature index and a humidity index, and perform weighted processing on the temperature index and the humidity index to obtain an environmental state coefficient;

[0093] Preferably, the specific working steps of the state environmental evaluation module are as follows:

[0094] Compare the insulating layer state coefficient and the environmental state coefficient with the corresponding insulating layer state coefficient threshold and environmental state coefficient threshold respectively. If either of them is not within the corresponding threshold, stop the detection. If both are within the corresponding threshold, import the environmental state coefficient and the insulating layer state coefficient into the constructed state environmental evaluation model to output the state environmental coefficient. The state environmental model is expressed as:

[0095] K ins-env =1-(w1K ins +w2K env )

[0096] Wherein, K ins-env represents the state environmental evaluation coefficient, K ins represents the insulating layer state coefficient, K env represents the environmental state coefficient, w1 and w2 represent weight coefficients and w1 + w2 = 1. In the embodiment of the present invention, w1 = 0.4 and w2 = 0.6 reflect the dominant influence of environmental factors on the detection process.

[0097] Specifically, during the detection process, the area and depth of the insulation layer defects, as well as the environmental temperature and humidity data, are obtained in real time, and the insulation layer state coefficient and the environmental state coefficient are generated through standardized processing. First, a dual-threshold judgment is carried out: when any coefficient exceeds the preset threshold range, the detection is immediately stopped to prevent the result from being distorted due to abnormal working conditions; when both are within the normal range, the two coefficients are further input into the state environment evaluation model. In the model, the insulation layer state coefficient and the environmental state coefficient are non-linearly transformed through an exponential function, and combined with the adjustment of the weight coefficients α and β, so that the state environment evaluation coefficient can dynamically reflect the comprehensive influence of the insulation layer defects and environmental conditions. For example, in a high-temperature and high-humidity environment, by increasing the weight β of the environmental state coefficient, the adjustment effect of environmental factors on the detection parameters is strengthened; when a small insulation defect is detected, by increasing the weight α of the insulation layer state coefficient, the contribution of the defect state to the adjustment of the counter pressure is increased. This evaluation mechanism enables the subsequent counter pressure adjustment to not only consider the real-time detection parameters, but also automatically balance the action weights of the insulation layer defects and environmental factors according to the changes in the working conditions.

[0098] Compared with the prior art, the traditional detection method only makes an independent threshold judgment on the insulation layer defects or environmental parameters, lacking a comprehensive evaluation mechanism under the coupling action of multiple factors. It cannot handle complex working conditions where the insulation defects and environmental temperature and humidity change simultaneously. This solution effectively solves the problem of evaluation deviation caused by the interactive influence of multiple parameters by establishing a state environment evaluation model and integrating the insulation layer state and the environmental state. In the prior art, the threshold judgment and parameter adjustment links are independent of each other, while this solution connects the dual-threshold judgment and model calculation in series to form a progressive evaluation process, realizing dynamic parameter optimization while ensuring the safety of detection.

[0099] Through the above technical solution, this application can real-time identify the abnormal states of the insulation layer defects and environmental parameters, avoiding misdetection or missed detection phenomena caused by a single parameter exceeding the limit. Through the dynamic generation of the state environment evaluation coefficient, it provides a comprehensive quantitative basis for the adjustment of the outer ring counter pressure, enabling the detection parameters to adapt to the changes in the insulation layer state and environmental conditions. This technical solution effectively suppresses the distortion of detection data caused by the superposition of local defects and environmental interference in the traditional method, improving the accuracy and working condition adaptability of the power frequency withstand voltage characteristic detection.

[0100] Preferably, the specific working steps of the detection state analysis module are as follows:

[0101] The outer ring counter pressure, inner ring counter pressure, bearing rotation centrifugal force, and vibration amplitude in the detection state data are respectively processed by taking the ratio with the corresponding allowable maximum values to obtain the outer ring counter pressure index, inner ring counter pressure index, bearing rotation centrifugal force index, and vibration index;

[0102] Analyze the matching of the outer ring contact pressure and the inner ring contact pressure under the current vibration index, and obtain the contact pressure analysis coefficient by combining the centrifugal force index:

[0103] K sta = α mod tanh(F cen )

[0104] Among them, K sta represents the contact pressure analysis coefficient, α mod represents the matching degree of the outer ring contact pressure and the inner ring contact pressure, and F cen is the centrifugal force index of bearing rotation;

[0105] α mod represents the matching degree of the outer ring contact pressure and the inner ring contact pressure, which is expressed as:

[0106]

[0107] Among them, F out represents the outer ring contact pressure index, F in represents the inner ring contact pressure index, V represents the vibration index, represents the covariance term of the outer ring contact pressure and the inner ring contact pressure.

[0108] Specifically, by converting the outer ring contact pressure, inner ring contact pressure, centrifugal force, and vibration amplitude into normalized indices respectively, the dimension difference is eliminated and a unified analysis benchmark is established. When calculating the matching degree, the introduction of the covariance term quantifies the dynamic correlation characteristics of the outer and inner ring contact pressures under vibration conditions. For example, when the vibration intensifies, the covariance term can identify the abnormality of the synchronization of the pressure fluctuations of the two. Constructing the contact pressure analysis coefficient by combining the centrifugal force index can incorporate the mechanical influence of the rotating working condition on the insulating layer into the evaluation system. For example, when the centrifugal force index is high, the contact pressure combination needs to be adjusted accordingly to prevent the insulating layer from being overloaded. Through the above steps, the mechanical equilibrium state of the inner and outer rings of the bearing under dynamic working conditions is accurately modeled, providing data support for subsequent contact pressure adjustment.

[0109] Compared with the prior art, the traditional method only judges whether a single contact pressure exceeds the standard through a fixed threshold, without considering the dynamic influence of vibration and centrifugal force on the pressure matching of the inner and outer rings. In this solution, the covariance term is used to quantify the correlated fluctuations of the inner and outer ring pressures under vibration conditions, and a multi-dimensional analysis model is constructed by combining the centrifugal force index, realizing the analysis and resolution of the coupling effect of dynamic working condition parameters, thereby avoiding the detection error caused by static judgment of a single parameter.

[0110] Through the above technical solutions, the present application can solve the problem of insufficient detection accuracy caused by the coupling effect of the contact pressure with vibration and centrifugal force under dynamic working conditions. By mathematical modeling, the collaborative influence of multiple parameters is transformed into a quantifiable analysis coefficient, providing an accurate basis for the dynamic optimization of the contact pressure. At the same time, it reduces the intervention of manual experience and improves the consistency and reliability of the detection process.

[0111] Preferably, the specific working steps of the contact pressure adjustment module are expressed as:

[0112] Construct a contact pressure adjustment model based on the current contact pressure, the detection state coefficient, and the state environment evaluation coefficient;

[0113] Compare the obtained contact pressure coefficient with the preset contact pressure coefficient threshold. If the obtained contact pressure coefficient is not within the coefficient threshold, adjustment information is formed;

[0114] Import the current contact pressure, the detection state coefficient, and the state environment evaluation coefficient into the contact pressure adjustment model according to the adjustment information to output the target outer ring contact pressure, and adjust the current outer ring contact pressure to the target outer ring contact pressure;

[0115] The contact pressure adjustment model is expressed as:

[0116] F tar =F cur (1 + K sta K ins-env )

[0117] Wherein, F tar represents the target outer ring contact pressure, F cur represents the current outer ring contact pressure, K sta represents the detection state coefficient, and K ins-env represents the state environment evaluation coefficient.

[0118] Specifically, during the detection process, the pressure sensor continuously monitors the contact pressure between the outer ring electrode and the outer ring of the bearing, and transmits the current outer ring contact pressure to the contact pressure adjustment module. At the same time, the detection status analysis module continuously calculates the ratios of dynamic parameters such as centrifugal force and vibration amplitude to the allowable maximum values, and generates a detection status coefficient through matching analysis. The status environment evaluation module outputs a status environment evaluation coefficient based on the defect area, depth of the insulating layer, and temperature and humidity data after threshold judgment. When the detection status coefficient deviates from the preset threshold, adjustment information is triggered. At this time, the current outer ring contact pressure, detection status coefficient, and status environment evaluation coefficient are input into the contact pressure adjustment model. This model correlates the three through mathematical operations. For example, when the vibration increases and causes the outer ring contact pressure to mismatch with the inner ring contact pressure, the model will reduce the target contact pressure to compensate for the loss of contact stability; when the status environment evaluation coefficient decreases due to the deterioration of the environmental temperature and humidity, the model will increase the target contact pressure to maintain effective electrical contact. Finally, the linear moving part automatically adjusts the electrode position according to the target contact pressure output by the model, forming a closed-loop control.

[0119] Compared with the prior art, the traditional method relies on manual experience to adjust the contact pressure, cannot respond in real time to changes in dynamic parameters such as vibration and centrifugal force, and does not consider the coupled effects of environmental factors and insulating layer defects. In this solution, by establishing a mathematical model for multi-parameter fusion, the adaptive adjustment of the contact pressure is realized. For example, in a high-temperature and high-humidity environment, the model will automatically increase the contact pressure to compensate for the change in contact resistance caused by the oxidation of the insulating layer surface; when the detected vibration amplitude exceeds the threshold, the model will dynamically reduce the contact pressure to avoid impact wear between the electrode and the insulating layer. In addition, in the prior art, static pressure adjustment is prone to poor contact due to the centrifugal force generated by the rotation of the bearing, while in this solution, the centrifugal force is incorporated into the calculation through the detection status coefficient, and the contact pressure is automatically adjusted according to the rotation speed.

[0120] Through the above technical solutions, this application solves the problems of lag in manual adjustment and inability to dynamically adapt to complex working conditions in traditional detection, and realizes the closed-loop optimization control of the electrode contact pressure. The specific effects include: during the rotation of the bearing, by continuously monitoring the centrifugal force and vibration parameters in real time, automatically compensating for the contact pressure fluctuation, and avoiding unstable test voltage caused by mechanical vibration; by fusing the insulating layer defect data and environmental parameters, dynamically correcting the contact pressure setting value to prevent abnormal contact resistance caused by temperature and humidity changes or insulating layer damage; through the model-driven threshold judgment mechanism, timely triggering the pressure adjustment action, reducing the frequency of manual intervention, and improving the detection efficiency and consistency.

[0121] It should be noted that in this text, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprising", "including" or any other variant thereof are intended to cover non-exclusively, such that a process, method, article or device comprising a series of elements not only includes those elements but also includes other elements not expressly listed, or further includes elements inherent to such process, method, article or device.

[0122] Although the embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of the present invention, and the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An insulation bearing power frequency withstand voltage characteristic detection tooling, including a workbench, characterized in that, Further comprising: An outer ring electrode mechanism of the bearing, which is installed on the workbench and used for supplying electrodes to the outer ring of the bearing and driving the outer ring of the bearing to rotate; An inner ring electrode mechanism of the bearing, which is installed on the workbench and used for driving the inner ring of the bearing to be positioned and rotated and supplying electrodes to it; A detection and adaptation system, which is used for dynamically adjusting the outer ring pressing force and includes: A data acquisition module, which is used for acquiring the state data of the insulating layer of the outer ring of the bearing, environmental data and detection state data; An insulating layer state analysis module, which constructs an insulating layer analysis model based on the state data and outputs an insulating layer state coefficient; An environmental state analysis module, which constructs an environmental state analysis model based on the environmental data and outputs an environmental state coefficient; A state and environment evaluation module, which makes a threshold judgment on the insulating layer state coefficient and the environmental state coefficient and constructs a state and environment evaluation model according to the judgment result to obtain a state and environment evaluation coefficient; A detection state analysis module, which constructs a detection state model based on the detection state data to obtain a detection state coefficient; A pressing force adjustment module, which makes a threshold judgment on the detection state coefficient and imports the current outer ring pressing force, the detection state coefficient and the state and environment evaluation coefficient into the constructed pressing force adjustment model according to the judgment result to output a target outer ring pressing force and adjust the current outer ring pressing force.

2. The insulation bearing power frequency withstand voltage characteristic detection tooling according to claim 1, characterized in that The outer ring electrode mechanism of the bearing includes an electrode block A, and the electrode block A is fixedly connected to a pressure sensor A fixedly connected with a mounting plate A. The mounting plate A is fixedly connected to the output shaft of a linear motion part A fixedly connected to the workbench. Further comprising: A pushing assembly, which is installed on the workbench and drives the electrode block A to selectively press against the outer ring of the bearing under the drive of the linear motion part A. It includes a push cylinder, a motor A, a support frame and a connecting rod. The push cylinder is rotatably installed on the support frame and fixedly connected to the output shaft of the motor A detachably installed on the support frame. The support frame is hinged to a hinge seat installed on the output shaft of the linear motion part A. One end of the connecting rod is hinged to the lower end of the push cylinder and the other end is hinged to the workbench through a plug rod. A wind guide ring is rotatably connected to the upper part of the push cylinder. The push cylinder is of a hollow structure and is provided with a plurality of through holes.

3. The insulation bearing power frequency withstand voltage characteristic detection tooling according to claim 1, wherein The inner ring electrode mechanism of the bearing includes an electrode block B. Further comprising: A positioning and rotation assembly, which is installed on the workbench and used for pushing the electrode block B to press against the inner ring of the bearing and driving the inner ring of the bearing to rotate relative to the outer ring of the bearing. It includes a motor B and a mounting seat. The mounting seat is fixedly connected to the output shaft of the motor B detachably installed in the middle of the workbench. A linear motion part B is embedded in the mounting seat and the output shaft of the linear motion part B is fixedly connected to a mounting plate B fixedly connected with a pressure sensor B. The pressure sensor B is fixedly connected to the electrode block B. A conductive block is embedded in the above, and the conductive block contacts a slip ring rotatably installed on the mounting seat. The conductive block is electrically connected to the electrode block B through a telescopic conductive column.

4. The insulation bearing power frequency withstand voltage characteristic detection tooling according to claim 1, wherein The state data of the insulating layer includes the defect area and the defect depth. The environmental data includes the temperature and the humidity. The detection state data includes the inner ring pressing force, the outer ring pressing force, the bearing rotation centrifugal force and the vibration amplitude.

5. The insulation bearing power frequency withstand voltage characteristic detection tooling according to claim 4, characterized in that, The specific working steps of the insulation layer state analysis module are as follows: The defect area and the defect depth are processed by taking their ratios with their maximum allowable values to obtain the defect area index and the defect depth index, and the defect area index and the defect depth index are weighted to obtain the insulation layer state coefficient.

6. The insulation bearing power frequency withstand voltage characteristic detection tooling according to claim 5, characterized in that The temperature and the humidity are respectively processed by taking their ratios with the corresponding reference environmental data to obtain the temperature index and the humidity index, and the temperature index and the humidity index are weighted to obtain the environmental state coefficient.

7. The insulation bearing power frequency withstand voltage characteristic detection tooling according to claim 6, characterized in that, The specific working steps of the state environment evaluation module are as follows: The insulation layer state coefficient and the environmental state coefficient are compared with the corresponding insulation layer state coefficient threshold and environmental state coefficient threshold. If either of them is not within the corresponding threshold, the detection is stopped. If both of them are within the corresponding threshold, the environmental state coefficient and the insulation layer state coefficient are imported into the constructed state environment evaluation model to output the state environment coefficient. The state environment model is expressed as: K ins-env = 1 - (w1K ins + w2K env ) Among them, K ins-env represents the state environment evaluation coefficient, K ins represents the insulation layer state coefficient, K env represents the environmental state coefficient, and w1, w2 represent the weight coefficients and w1 + w2 = 1.

8. The insulation bearing power frequency withstand voltage characteristic detection tooling according to claim 7, characterized in that, The specific working steps of the detection state analysis module are as follows: The outer ring pressing force, the inner ring pressing force, the bearing rotation centrifugal force, and the vibration amplitude in the detection state data are respectively processed by taking their ratios with the corresponding allowable maximum values to obtain the outer ring pressing force index, the inner ring pressing force index, the bearing rotation centrifugal force index, and the vibration index; Analyze the matching of the outer ring pressing force and the inner ring pressing force under the current vibration index and combine the centrifugal force index to obtain the pressing force analysis coefficient: K sta = α mod tanh(F cen ) Among them, K sta represents the counterpressure analysis coefficient, and α mod represents the matching degree between the outer ring counterpressure and the inner ring counterpressure, and F cen is the bearing rotation centrifugal force index; α mod Indicates the matching degree of the outer ring contact pressure and the inner ring contact pressure, expressed as: Among them, F out represents the outer ring contact pressure index, F in represents the inner ring contact pressure index, V represents the vibration index, represents the covariance term between the outer ring contact pressure and the inner ring contact pressure.

9. The insulation bearing power frequency withstand voltage characteristic detection tooling according to claim 8, characterized in that The specific working steps of the pressing force adjustment module are expressed as: Construct a pressing force adjustment model based on the current pressing force, the detection state coefficient, and the state environment evaluation coefficient; Compare the obtained pressing force coefficient with the preset pressing force coefficient threshold. If the obtained pressing force coefficient is not within the coefficient threshold, adjustment information is formed; According to the adjustment information, the current pressing force, the detection state coefficient, and the state environment evaluation coefficient are imported into the pressing force adjustment model to output the target outer ring pressing force, and the current outer ring pressing force is adjusted to the target outer ring pressing force; The pressing force adjustment model is expressed as: F tar = F cur (1 + K sta K ins-env ) Among them, F tar represents the target outer ring contact pressure, F cur represents the current outer ring contact pressure, K sta represents the detection status coefficient, K ins-env represents the status environment evaluation coefficient.

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