Magnetic suspension bearing displacement sensor integrated test platform and test method

Abstract

The invention relates to a magnetic suspension bearing displacement sensor integrated test platform and a test method, belongs to the technical field of test equipment, and is used for solving one of the following technical problems in the prior art: it is difficult to accurately evaluate the performance of a displacement sensor under a multi-physics coupling condition simulating a real working condition; generating a high-frequency dynamic test excitation signal in the integrated test platform depends on ultra-high-speed driving equipment; the displacement sensor is insufficient in measurement precision and reliability; performance evaluation of a sensor under different environmental conditions lacks comprehensive data support. The test platform comprises a static calibration module, a dynamic calibration module, a temperature simulation module, a magnetic field simulation module and a displacement sensor assembly. Through the static calibration module, the dynamic calibration module, the temperature simulation module, the magnetic field simulation module and the displacement sensor assembly, the technical problem that it is difficult to accurately evaluate the performance of the displacement sensor under the multi-physical field coupling condition simulating the real working condition for a long time is solved.

Description

Technical Field

[0001] This invention relates to the field of testing equipment technology, and in particular to an integrated testing platform and testing method for a magnetic levitation bearing displacement sensor. Background Technology

[0002] As a core support component of high-end equipment such as aero-electric engines, the performance of magnetic levitation bearings is highly dependent on the detection accuracy and reliability of displacement sensors. These sensors must measure the rotor's micro-displacement in real-time and with precision in extreme environments of high temperature and strong magnetic fields, while simultaneously possessing excellent static characteristics (such as high linearity and low temperature drift) and dynamic characteristics (such as wide bandwidth). Therefore, before installation, the sensor's comprehensive performance must be rigorously verified and calibrated in an environment simulating real-world operating conditions.

[0003] Currently, performance verification of displacement sensors typically requires sequential static calibration, dynamic calibration, temperature environment testing, and magnetic field environment testing. However, existing technologies mostly rely on dedicated equipment with single functions to perform these steps separately. For example, static calibration is performed using a precision displacement stage, dynamic excitation is performed using a high-speed rotary table, high temperatures are simulated using an independent temperature chamber, and a magnetic field is generated using a separate magnetic field coil. This fragmented testing functionality and cumbersome equipment system not only leads to tedious testing procedures, long cycles, and high costs, but also introduces additional errors when the sensor is disassembled and reassembled between different devices, and makes it impossible to construct a stable and controllable high-temperature and strong magnetic field coupling environment. Although existing technical solutions involve displacement detection and calibration, they focus on signal processing and system control and do not integrate environmental simulation functions, thus failing to study the performance evolution of sensors under multi-physics coupling effects.

[0004] In summary, existing technologies struggle to accurately evaluate the performance of displacement sensors under multi-physics coupling conditions that simulate real-world working conditions. Summary of the Invention

[0005] The purpose of this invention is to provide an integrated test platform and test method for magnetic levitation bearing displacement sensors, in order to solve one of the following technical problems existing in the prior art: it is difficult to accurately evaluate the performance of displacement sensors under multi-physics coupling conditions that simulate real working conditions; the generation of high-frequency dynamic test excitation signals in the integrated test platform depends on ultra-high-speed drive equipment; the measurement accuracy and reliability of displacement sensors are insufficient; and the performance evaluation of sensors under different environmental conditions lacks comprehensive data support.

[0006] The objective of this invention is mainly achieved through the following technical solutions:

[0007] In a first aspect, the present invention provides an integrated test platform for a magnetic levitation bearing displacement sensor, comprising a static calibration module, a dynamic calibration module, a temperature simulation module, a magnetic field simulation module, and a displacement sensor assembly; the static calibration module is used to perform static performance calibration on the displacement sensor assembly; the dynamic calibration module is used to perform dynamic performance calibration on the displacement sensor assembly; the temperature simulation module is used to simulate the temperature conditions in the working environment of the displacement sensor assembly; and the magnetic field simulation module is used to simulate the magnetic field conditions in the working environment of the displacement sensor.

[0008] Furthermore, it also includes a dynamic calibration module, which is used to dynamically calibrate the displacement sensor assembly.

[0009] Furthermore, the static calibration module includes a three-axis displacement actuator and a measured shaft. The three-axis displacement actuator is used to drive the displacement sensor assembly to perform precise displacement relative to the stationary measured shaft in static calibration mode.

[0010] Furthermore, in static calibration mode, the triaxial displacement actuator is connected to the displacement sensor assembly to drive the displacement sensor assembly to move along the three orthogonal directions of X, Y, and Z.

[0011] Furthermore, the displacement sensor assembly includes an axial displacement sensor for measuring axial clearance and a radial displacement sensor for measuring radial clearance.

[0012] Furthermore, the dynamic calibration module includes a high-speed motor and a bearing, wherein the high-speed motor is used to drive the measured shaft to rotate via the bearing in dynamic calibration mode.

[0013] Furthermore, the temperature simulation module includes a resistance temperature chamber for heating and temperature control of the area where the displacement sensor assembly and the measured shaft are located.

[0014] Furthermore, the magnetic field simulation module includes a two-dimensional Helmholtz coil for generating a controllable uniform magnetic field in the area where the displacement sensor assembly and the measured shaft are located.

[0015] Furthermore, the temperature simulation module is positioned within the magnetic field region generated by the two-dimensional Helmholtz coil.

[0016] In a second aspect, the present invention provides a testing method for the testing platform as described in the first aspect, comprising:

[0017] Step 1. Install the displacement sensor assembly on the triaxial displacement platform and align it with the measurement surface of the shaft being measured;

[0018] Step 2. Set the temperature and / or magnetic field environment using the temperature simulation module and / or magnetic field simulation module.

[0019] Furthermore, step 2 is followed by:

[0020] Step 3. Control the static calibration module to drive the displacement sensor assembly to perform precise displacement, and synchronously collect the output signal of the displacement sensor assembly to complete the static performance calibration;

[0021] Step 4. Control the dynamic calibration module to drive the movement of the object under test, so that the displacement sensor component can detect the dynamic displacement signal and synchronously collect the output signal of the displacement sensor component to complete the dynamic performance calibration.

[0022] Furthermore, step 2 includes setting a separate temperature environment, a separate magnetic field environment, or a temperature and magnetic field coupled environment simultaneously.

[0023] In one or more technical solutions provided in the exemplary embodiments of the present invention, at least one of the following beneficial effects can be achieved.

[0024] (1) In the technical solution of the magnetic levitation bearing displacement sensor integrated test platform of the present invention, by integrating the static calibration module and the dynamic calibration module, the static and dynamic performance of the displacement sensor component can be accurately calibrated respectively. Thus, the performance characteristics of the sensor under different working conditions can be grasped, and the overall reliability of the sensor performance is improved. The synergistic effect of the temperature simulation module and the magnetic field simulation module constructs a highly realistic complex environment simulation scenario, which solves the long-standing technical problem of accurately evaluating the performance of the displacement sensor under the multi-physical field coupling conditions that simulate real working conditions. The platform can accurately simulate the multi-physical field coupling environment such as high and low temperature changes and magnetic field interference of different intensities faced by the displacement sensor in actual work, deeply evaluate the sensor's adaptability to complex environmental changes, and identify potential problems in advance and make improvements. This improves the stability and reliability of the displacement sensor component in practical applications.

[0025] (2) In the technical solution of the magnetic levitation bearing displacement sensor integrated test platform of the present invention, the groove structure is used as a mechanical frequency multiplier to convert the rotational motion of the motor into a high-frequency periodic displacement excitation acting on the sensor, and its parameters (number of grooves, depth) are adjustable, which can generate standard dynamic input signals with different characteristics. This realizes that high-frequency excitation can be generated by using only a medium-speed motor with a multi-groove design in high-frequency dynamic testing, avoiding the technical bottleneck and high cost of ultra-high speed motors. Thus, the technical problem of generating high-frequency dynamic test excitation signals in the integrated test platform depends on ultra-high speed drive equipment is solved.

[0026] (3) In the technical solution of the test method in this invention, the measurement accuracy and reliability of the displacement sensor are improved by multi-physics coupling and dynamic and static calibration, which solves the problems existing in the prior art. It can provide accurate and stable measurement data in various actual working scenarios. At the same time, it can enhance the sensor's adaptability to different environments and dynamic working conditions, expand its application range, and meet the needs of different fields for high-precision displacement measurement.

[0027] (4) In the technical solution of the test method in this invention, by adopting an environmental simulation mode, the performance test requirements of the sensor under individual high temperature, individual strong magnetic field and high temperature-magnetic field coupling state are covered, which improves the integrity and flexibility of the test platform in terms of environmental simulation. This test method provides comprehensive and accurate data support for the performance evaluation of the sensor under different environmental conditions, and improves the applicability, reliability and stability of the sensor in various practical engineering applications.

[0028] In this invention, the above-described technical solutions can be combined with each other to achieve more preferred combinations. Other features and advantages of this invention will be set forth in the following description, and some advantages may become apparent from the description or be learned by practicing the invention. The objects and other advantages of this invention can be realized and obtained from what is particularly pointed out in the description and drawings. Attached Figure Description

[0029] The accompanying drawings illustrate exemplary embodiments of the invention and, together with the description thereof, serve to explain the principles of the invention. These drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification.

[0030] Figure 1 This is a schematic diagram of the integrated test platform for magnetic levitation bearing displacement sensors in an embodiment of the present invention;

[0031] Figure 2 This is a schematic diagram of the structure of the shaft being measured in an embodiment of the present invention;

[0032] Figure 3 This is a flowchart illustrating the experimental method in an embodiment of the present invention;

[0033] Figure 4 This is a flowchart illustrating step 3 in an embodiment of the present invention.

[0034] Figure label:

[0035] 1-Triaxial displacement actuator, 2-Measured shaft, 20-Boss, 21-Radial groove, 22-Axial groove, 23-Hollow cavity, 24-Annular deep groove, 3-Axial displacement sensor, 4-Radial displacement sensor, 6-High-speed motor, 7-Bearing, 8-Resistance temperature chamber, 9-Two-dimensional Helmholtz coil. Detailed Implementation

[0036] To make the technical problems to be solved, the technical solutions, and the beneficial effects of the present invention clearer, 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 merely illustrative of the present invention and are not intended to limit the present invention.

[0037] The technical solution of this application and how the technical solution of this application solves the above-mentioned technical problems are described in detail below with specific embodiments.

[0038] Example 1

[0039] like Figure 1 and Figure 2 As shown, Embodiment 1 of the present invention provides an integrated test platform for a magnetic levitation bearing displacement sensor, including a static calibration module, a dynamic calibration module, a temperature simulation module, a magnetic field simulation module, and a displacement sensor assembly; the static calibration module is used to perform static performance calibration on the displacement sensor assembly; the dynamic calibration module is used to perform dynamic performance calibration on the displacement sensor assembly; the temperature simulation module is used to simulate the temperature conditions in the working environment of the displacement sensor assembly; and the magnetic field simulation module is used to simulate the magnetic field conditions in the working environment of the displacement sensor.

[0040] The static calibration module is used to calibrate the static performance of the displacement sensor assembly. Through specific test methods and standards, it accurately measures various performance indicators of the displacement sensor assembly under static conditions, such as measurement accuracy and linearity, thereby determining whether its static performance meets design requirements. The dynamic calibration module is used to calibrate the dynamic performance of the displacement sensor assembly. It simulates the dynamic changes encountered by the displacement sensor during actual operation, such as rapidly changing displacement signals, and detects the sensor's response characteristics under these dynamic conditions, such as response time and dynamic error. This helps ensure that the sensor can operate accurately and reliably in dynamic working environments. The temperature simulation module is used to simulate the temperature conditions faced by the displacement sensor assembly in actual working environments. Because temperature changes can affect sensor performance, this module allows for precise calibration. The temperature in the test environment is precisely controlled to test the performance changes of the sensor under different temperatures, evaluate its temperature stability and adaptability, and take corresponding measures to ensure that the sensor can work normally under various temperature environments. The magnetic field simulation module is used to simulate the magnetic field conditions in the working environment of the displacement sensor. In the magnetic levitation bearing system, the magnetic field is an important influencing factor. Changes in the magnetic field may interfere with the measurement accuracy and stability of the sensor. This module can simulate magnetic field environments of different intensities and distributions, detect the performance of the sensor under magnetic field interference, and ensure that the sensor can accurately measure displacement information in complex magnetic field environments. The displacement sensor component, as the object of testing, is comprehensively evaluated for its performance under different conditions through the tests of the previous modules, providing a basis for product research and development, improvement and quality control.

[0041] In summary, by integrating static and dynamic calibration modules, precise calibration of the static and dynamic performance of displacement sensor components can be performed separately. This allows for understanding the sensor's performance characteristics under different operating conditions, improving the overall reliability of the sensor. The synergistic effect of the temperature and magnetic field simulation modules constructs highly realistic simulation scenarios of complex environments, solving the long-standing technical challenge of accurately evaluating the performance of displacement sensors under multi-physics coupling conditions that simulate real-world working conditions. This platform can accurately simulate the multi-physics coupling environment faced by displacement sensors in actual operation, such as high and low temperature changes and magnetic field interference of varying intensities. It can deeply evaluate the sensor's adaptability to complex environmental changes, identify potential problems in advance, and make improvements, thereby enhancing the stability and reliability of displacement sensor components in practical applications.

[0042] Furthermore, the static calibration module includes a three-axis displacement actuator 1 and a measured shaft 2. The three-axis displacement actuator 1 is used to drive the displacement sensor assembly to perform precise displacement relative to the stationary measured shaft 2 in the static calibration mode.

[0043] The triaxial displacement actuator 1 is used to precisely control displacement in three dimensions. In static calibration mode, based on preset parameters, it drives the displacement sensor assembly to make precise displacement relative to the stationary measured shaft 2, providing accurate and controllable displacement input for calibration. The measured shaft 2 serves as a static reference, maintaining a fixed position and forming a relative motion relationship with the displacement sensor assembly, enabling the sensor to sense displacement changes and providing a stable measurement benchmark for subsequent performance evaluation. The two work together to complete static calibration. This achieves high-precision static calibration. The precise drive of the triaxial displacement actuator 1 can simulate various subtle and precise displacement scenarios, allowing the displacement sensor assembly to be tested under different displacement conditions. The static characteristics of the measured shaft 2 ensure the stability of the test environment, making the measurement data accurate and reliable. Through this combination, the various performance indicators of the displacement sensor assembly under static conditions, such as measurement accuracy and linearity, can be comprehensively and accurately evaluated, which is beneficial to improving sensor quality.

[0044] Furthermore, in static calibration mode, the triaxial displacement actuator 1 is connected to the displacement sensor assembly to drive the displacement sensor assembly to move along the three orthogonal directions of X, Y, and Z.

[0045] The triaxial displacement actuator 1 is connected to the displacement sensor assembly, becoming the direct power source driving the sensor assembly's movement. It can precisely drive the displacement sensor assembly to move along three mutually perpendicular orthogonal directions (X, Y, and Z). Through multi-directional driving capability, it can simulate various static displacement scenarios, which is beneficial for comprehensively testing the performance of the displacement sensor assembly in different directions. The multi-directional driving of the triaxial displacement actuator 1 enables multi-directional, high-precision static performance evaluation of the displacement sensor assembly. It can test key indicators such as measurement accuracy, linearity, and repeatability in the X, Y, and Z directions respectively, and understand the performance differences of the displacement sensor assembly in different spatial directions. This helps to identify potential problems in the sensor design and manufacturing process, providing accurate data support for optimizing the sensor structure and improving production processes, thereby improving the overall performance and quality of the displacement sensor assembly and enhancing its reliability and stability in various static working environments.

[0046] Furthermore, the displacement sensor assembly includes an axial displacement sensor 3 for measuring axial clearance and a radial displacement sensor 4 for measuring radial clearance.

[0047] Axial displacement sensor 3 captures the displacement changes of an object along its axis, converting the displacement into a measurable electrical signal for assessing assembly accuracy and motion status in the axial direction. Radial displacement sensor 4 measures radial clearance and senses displacement perpendicular to the axis, also converting displacement information into an electrical signal output. These two sensors monitor the object's displacement from different dimensions, together forming the displacement sensor assembly. Through the coordinated operation of axial displacement sensor 3 and radial displacement sensor 4, the displacement sensor assembly achieves multi-dimensional, high-precision measurement of object displacement. This allows for the simultaneous acquisition of axial and radial displacement data, reflecting the object's motion and assembly status in space. This helps in the timely detection of deviations and wear issues during equipment operation, providing a reliable basis for precise equipment debugging, fault diagnosis, and preventative maintenance.

[0048] Furthermore, the dynamic calibration module includes a high-speed motor 6 and a bearing 7. The high-speed motor 6 is used to drive the measured shaft 2 to rotate via the bearing 7 in dynamic calibration mode.

[0049] The high-speed motor 6 is the power source for the dynamic calibration module. In dynamic calibration mode, it operates according to preset programs and parameters, generating high-speed rotational power. The bearing 7 plays a crucial supporting and transmission role. It is installed between the high-speed motor 6 and the measured shaft 2, providing stable support for the measured shaft 2 and precisely and efficiently transmitting the rotational power generated by the high-speed motor 6 to the measured shaft 2, causing the measured shaft 2 to rotate according to the set speed and rotation mode. Through the cooperation of the high-speed motor 6 and the bearing 7, the dynamic calibration module can simulate a real and complex dynamic working environment. The adjustable high-speed rotation provided by the high-speed motor 6, combined with the stable transmission of the bearing 7, enables the measured shaft 2 to produce precise and controllable dynamic displacement. This allows for a more comprehensive test of the displacement sensor assembly's response speed, measurement accuracy, dynamic tracking capability, and other key performance indicators under high-speed and dynamic conditions. It also enables the timely detection of performance defects and deficiencies of the sensor during dynamic operation, providing a reliable basis for optimizing sensor design and improving its dynamic performance.

[0050] Furthermore, the temperature simulation module includes a resistance temperature chamber 8, which is used to heat and control the temperature of the area where the displacement sensor assembly and the measured shaft 2 are located.

[0051] The resistance temperature chamber 8 is used to regulate the temperature of the area where the displacement sensor assembly and the measured shaft 2 are located. Utilizing the principle of resistance heating, through precise internal circuit control and a temperature sensor feedback mechanism, it can heat the area according to preset temperature parameters. Simultaneously, it can monitor and adjust the temperature in real time to ensure the temperature of the area remains stable at the set value, simulating temperature environments under different working conditions. This provides the necessary conditions for comprehensively evaluating the performance of the displacement sensor assembly and the measured shaft 2 under temperature influences. On the one hand, it can accurately simulate various actual working temperature scenarios, including high temperatures, low temperatures, and temperature fluctuations, allowing the displacement sensor assembly and the measured shaft 2 to be tested in a near-realistic environment. On the other hand, by evaluating the performance changes of the displacement sensor assembly and the measured shaft 2 at different temperatures, such as measurement accuracy, stability, and the impact of material thermal expansion on displacement measurement, potential problems can be identified and improved in advance. This helps to improve the product's adaptability and reliability in complex temperature environments.

[0052] Furthermore, the magnetic field simulation module includes a two-dimensional Helmholtz coil 9, which is used to generate a controllable uniform magnetic field in the area where the displacement sensor assembly and the measured shaft 2 are located.

[0053] Specifically, the two-dimensional Helmholtz coil 9 can be composed of two sets of Helmholtz coils placed perpendicularly to each other. The two-dimensional structure allows the module to independently control the magnetic field in two mutually perpendicular directions (usually the X and Y directions). This design provides a fundamental structural guarantee for creating a controllable and uniform magnetic field in the area where the displacement sensor assembly and the measured shaft 2 are located, enabling the simulation of complex and diverse magnetic field environments. When current is passed through the two-dimensional Helmholtz coil 9, a magnetic field is generated around the coil according to the law of electromagnetic induction. By precisely controlling the magnitude and direction of the current flowing through each set of coils, a magnetic field with precisely adjustable intensity and direction can be generated in a specific area where the displacement sensor assembly and the measured shaft 2 are located. This controllable... The magnetic field generation method can simulate various magnetic field conditions that may be encountered in actual working conditions, such as the magnetic field distribution under different working states in a magnetic levitation bearing system. The controllable magnetic field generated by the two-dimensional Helmholtz coil 9 can simulate various magnetic field environments that the displacement sensor may encounter in actual work. This allows for a comprehensive and in-depth evaluation of the performance of the displacement sensor component under the influence of magnetic fields, including key indicators such as measurement accuracy, stability, and linearity. It can also identify potential performance degradation or abnormalities of the sensor under magnetic field interference, providing accurate experimental basis for optimizing sensor design and improving its resistance to magnetic field interference, thereby enhancing the reliability and accuracy of the displacement sensor in complex magnetic field environments.

[0054] Furthermore, the temperature simulation module is positioned within the magnetic field region generated by the two-dimensional Helmholtz coil 9.

[0055] By setting the temperature simulation module within the magnetic field region generated by the two-dimensional Helmholtz coil 9, the coupling of the temperature field and the magnetic field is achieved. The temperature simulation module can regulate the temperature of this coupling region. The purpose of this is to simulate the complex environment in which the displacement sensor assembly and the measured shaft 2 are simultaneously affected by temperature changes and magnetic fields in actual working conditions. By conducting experiments in this coupling region, the combined effects of these two important factors, temperature and magnetic field, on the performance of related components can be studied, which is closer to the actual application scenario. By constructing a simulation environment with temperature-magnetic field multi-physics coupling, this multi-physics coupling simulation environment can more realistically reflect the actual working conditions, providing reliable experimental conditions for studying the performance of the displacement sensor assembly and the measured shaft 2 in complex environments, and overcoming the limitations of traditional single-physics field simulation.

[0056] Furthermore, the resistance chamber 8 is entirely made of non-magnetic material. The non-magnetic material used in the resistance chamber 8 will not affect the magnetic field strength and angle generated by the two-dimensional Helmholtz coil 9. This maximizes the preservation of the external magnetic field shape. Materials with high magnetic permeability would create a magnetic shielding effect, affecting the construction of the temperature-magnetic field multiphysics coupling simulation environment within the resistance chamber's internal test area.

[0057] Example 2

[0058] Embodiment 2 of the present invention is a further improvement based on Embodiment 1, and aims to solve the technical problem that generating high-frequency dynamic test excitation signals in an integrated test platform depends on ultra-high-speed drive equipment.

[0059] like Figure 2 As shown, the measured shaft 2 includes a boss 20 that is adapted to the mounting dimensions of the displacement sensor assembly, and the surface of the boss 20 is machined with a periodically distributed groove structure.

[0060] For example, the boss can be 200mm in diameter and 50mm in height, used for positioning and mounting axial and radial displacement sensors. Boss 20 provides the displacement sensor with a mounting interface and measurement reference consistent with a real bearing, ensuring the authenticity of the test state. The groove structure acts as a mechanical frequency multiplier, converting the motor's rotational motion into high-frequency periodic displacement excitation acting on the sensor. Its parameters (number of grooves, depth) are adjustable, generating standard dynamic input signals with different characteristics. This enables the generation of high-frequency excitation in high-frequency dynamic testing using only a medium-speed motor and a multi-groove design, avoiding the technical bottleneck and high cost of ultra-high-speed motors. Thus, it solves the technical problem of relying on ultra-high-speed drive equipment to generate high-frequency dynamic test excitation signals in an integrated test platform.

[0061] Furthermore, the shaft body 2 being tested also includes a connecting end adapted to the high-speed motor 7, and the boss 20 is connected to the connecting end by a key.

[0062] The keyed connection method facilitates the replacement of the boss 20, adapting to different calibration requirements.

[0063] Furthermore, the groove structure includes a radial groove 21 machined on the end face of the boss 20 and / or an axial groove 22 machined on its cylindrical side.

[0064] Radial groove 21 is used for dynamic calibration of axial displacement sensor, and axial groove 22 is used for dynamic calibration of radial displacement sensor. The two can be set independently or processed in combination.

[0065] The radial groove 21 is machined on the end face of the boss 20. Its regular shape and distribution provide a dynamic measurement reference for the axial displacement sensor. When the shaft rotates, the sensor accurately obtains the dynamic data of axial displacement by detecting the changes in the groove edge. The axial groove 22 is located on the cylindrical side of the boss 20 and serves as a measurement marker for the radial displacement sensor. When the shaft rotates, the sensor accurately measures the dynamic information of radial displacement based on the changes in the groove position. The two provide reliable measurement basis for the sensor from different dimensions. The combination of the two can fully realize the dynamic calibration of the axial and radial displacement sensors. When set independently, it can accurately calibrate the displacement measurement in a single direction. When machined in combination, it can simultaneously complete the dynamic calibration in two directions on the same shaft, improving calibration efficiency and simulating complex working conditions, thus more realistically reflecting the performance of the sensor in actual applications.

[0066] Furthermore, the grooves are multiple grooves evenly distributed circumferentially, and the number P of the grooves is determined based on the target dynamic calibration frequency and the motor speed. The grooves are designed as multiple grooves evenly distributed circumferentially, and their number P is closely related to the target dynamic calibration frequency and the motor speed. Determining the number of grooves based on these two factors provides the displacement sensor with rich and regular measurement feature points. When the shaft rotates, the sensor can accurately capture displacement changes using these grooves. When the motor rotates, the grooves pass through the sensor sequentially. At different speeds, a reasonable number of grooves ensures that the sensor acquires sufficient data per unit time, meeting the requirements of high-frequency calibration. This provides a reliable basis for accurately evaluating the sensor's dynamic performance, such as response speed and measurement accuracy. On the one hand, this improves calibration accuracy; the evenly distributed and appropriately numbered grooves make the measurement data more comprehensive and accurate, truly reflecting the sensor's performance. On the other hand, it enhances system adaptability, enabling it to cope with different speeds and calibration frequency requirements, broadening application scenarios. In addition, it optimizes measurement efficiency, reducing excessive or insufficient data, and saving calibration time and costs.

[0067] For example, 24 grooves can be provided on the boss 20, with adjacent grooves evenly distributed on the end face and side face of the boss at a 15° interval. The grooves are 5 mm wide and 0.3 mm deep, with the depth matching the sensor range.

[0068] Furthermore, the groove structure on the surface of the boss 20 of the measured shaft 2 is used to provide periodic displacement excitation to the displacement sensor when the measured shaft 2 rotates. The excitation frequency f satisfies the following relationship with the motor speed N and the number of grooves P:

[0069] f = P × N / 60.

[0070] For example, with a rated motor speed of 25,000 r / min and 24 grooves, the dynamic excitation frequency can reach 10 kHz. This converts the motor's mechanical speed into high-frequency displacement excitation, achieving high-frequency dynamic calibration without requiring a higher-speed motor. It can accurately simulate dynamic displacement under various real-world working conditions, allowing the displacement sensor to be calibrated in a near-realistic environment, thus improving the accuracy and reliability of the calibration results. Furthermore, the excitation frequency can be flexibly adjusted based on the relationship between the excitation frequency f, the motor speed N, and the number of grooves P, adapting to the calibration of different types of displacement sensors and enhancing the system's versatility.

[0071] Furthermore, the cross-sectional shape, depth, number, and distribution of the groove structure can be adjusted to generate dynamic displacement excitation signals with different waveforms, amplitudes, and frequencies.

[0072] By replacing the test shaft bosses with different groove structures (such as rectangular, triangular, different depths or numbers), the characteristics of the dynamic calibration signal can be flexibly adjusted to meet the testing needs of various sensors.

[0073] Furthermore, such as Figure 2 As shown, the shaft body 2 under test is provided with a lightening structure, which includes a hollow cavity 23 at the center of the shaft body and / or an annular deep groove 24 at the rear of the boss 20.

[0074] A hollow cavity 23 is set in the center of the shaft, which directly reduces the amount of shaft material used, thereby reducing the overall weight of the measured shaft 2. The annular deep groove 24 is machined at the rear of the boss 20, which also removes some material and further reduces the weight of the shaft. In dynamic calibration scenarios that require high-speed rotation of the shaft, a lighter shaft can reduce the moment of inertia, improve the structural stability during high-speed rotation, and reduce the load on the motor. This reduces the energy required for the motor to drive the shaft to rotate, making it easier for the motor to drive the shaft to the target speed and improving the system's response speed. In addition, a lighter shaft generates less vibration and unbalanced force during rotation, which helps to reduce the vibration and noise of the entire measurement system. This not only provides a more stable measurement environment for the displacement sensor and reduces the impact of external interference on the measurement results, but also allows for faster heat dissipation during shaft rotation or long-term operation, reducing the temperature rise and minimizing changes in material properties and dimensional expansion. This ensures dimensional accuracy and mechanical stability. The weight reduction lowers the heat capacity of the shaft, allowing it to reach thermal equilibrium more quickly when the temperature changes, reducing the accumulation of thermal stress and lowering the risk of deformation and cracking caused by thermal stress, thus improving the reliability and stability of the shaft.

[0075] Example 3

[0076] Embodiment 3 of the present invention provides a test method for the test platform as described in Embodiment 1 or Embodiment 2, which aims to solve the technical problem of insufficient measurement accuracy and reliability of displacement sensors.

[0077] like Figure 3 As shown, the method includes:

[0078] Step 1. Install the displacement sensor assembly on the triaxial displacement platform and align it with the corresponding measuring surfaces (end face and cylindrical surface) of the shaft being measured 2;

[0079] Step 2. Set the temperature and / or magnetic field environment using the temperature simulation module and / or magnetic field simulation module;

[0080] Step 3. Control the static calibration module to drive the displacement sensor assembly to perform precise displacement, and synchronously collect the output signal of the displacement sensor assembly to complete the static performance calibration;

[0081] Step 4. Control the dynamic calibration module to drive the movement of the object under test, so that the displacement sensor component can detect the dynamic displacement signal and synchronously collect the output signal of the displacement sensor component to complete the dynamic performance calibration.

[0082] In step 1, the displacement sensor assembly is installed on the triaxial displacement platform and precisely aligned with the end face and cylindrical surface of the shaft being measured 2. This provides a stable and accurate measurement basis for subsequent calibration. The triaxial displacement platform can flexibly adjust the sensor position to ensure that the sensor and the measured surface maintain the best measurement distance and angle, thus guaranteeing the accuracy and reliability of the measurement signal.

[0083] In step 2, a specific environment is set up through the temperature simulation module and / or magnetic field simulation module. The purpose is to simulate the complex environmental conditions that may be encountered in actual working scenarios. Temperature and magnetic field changes will affect the performance of the displacement sensor. Calibration in these simulated environments in advance can comprehensively evaluate the performance of the sensor under different environments and improve the adaptability and stability of the sensor in practical applications.

[0084] In step 3, the static calibration module drives the displacement sensor assembly to perform precise displacement and simultaneously acquires the output signal. This is to accurately determine the input-output relationship of the sensor under static conditions. By using the known precise displacement input and the corresponding sensor output signal, the static characteristic curve of the sensor, such as sensitivity and linearity, can be established, thereby accurately calibrating and standardizing the static performance of the sensor.

[0085] In step 4, the dynamic calibration module drives the object under test to move, enabling the sensor to detect dynamic displacement signals and synchronously acquire output signals. This allows for the evaluation of the sensor's response characteristics under dynamic conditions. In actual work, sensors are often in dynamically changing environments. Dynamic calibration can help understand the sensor's ability to track rapidly changing displacement signals, its frequency response range, and other dynamic performance indicators, ensuring the accuracy of the sensor in actual dynamic measurements.

[0086] In summary, by using multi-physics coupling and dynamic / static calibration, the measurement accuracy and reliability of displacement sensors can be improved, providing accurate and stable measurement data in various practical working scenarios. At the same time, it can enhance the sensor's adaptability to different environments and dynamic working conditions, expand its application range, and meet the needs of different fields for high-precision displacement measurement.

[0087] Furthermore, step 2 includes setting a separate temperature environment, a separate magnetic field environment, or a temperature and magnetic field coupled environment simultaneously.

[0088] By setting up various environments, the performance variation patterns of sensors under different conditions can be fully understood. Based on this, targeted optimization and compensation of the sensors can be carried out, which can improve their adaptability in complex real-world scenarios, achieve accurate and stable measurement data, and broaden their application areas.

[0089] Furthermore, in step 3, the static calibration module drives the displacement sensor assembly to move along a predetermined trajectory and step size through a three-axis displacement actuator.

[0090] The static calibration module uses a three-axis displacement actuator to drive the displacement sensor assembly to move according to a predetermined trajectory and step size. This provides a precise and controllable input displacement, thereby accurately establishing the static input-output relationship of the sensor, accurately calibrating key parameters such as sensitivity and linearity, reducing measurement errors, improving the static measurement accuracy of the sensor, and enhancing the accuracy of the output in static measurement scenarios.

[0091] Furthermore, in step 4, the dynamic calibration module drives the measured shaft 2 with a groove structure to rotate via a high-speed motor 6, so that the displacement sensor assembly can detect periodic gap changes.

[0092] The dynamic calibration module uses a high-speed motor 6 to drive the grooved test shaft 2 to rotate, creating a periodic gap change scenario. This can simulate the dynamic displacement conditions faced by the sensor in reality, allowing the displacement sensor component to work in a real dynamic environment and providing the necessary conditions for detecting its dynamic response characteristics. As a result, the sensor's ability to track periodic dynamic displacement signals can be more comprehensively evaluated, and dynamic performance indicators such as frequency response range can be accurately obtained, thus improving the accuracy of the sensor in dynamic measurement scenarios.

[0093] Based on this, the frequency of the displacement excitation signal input to the displacement sensor assembly is adjusted by changing the rotational speed of the high-speed motor 6.

[0094] Based on the existing dynamic calibration, changing the speed of the high-speed motor to adjust the frequency of the displacement excitation signal enriches the test conditions for dynamic calibration. By providing dynamic displacement inputs at different frequencies, the response of the displacement sensor component under different frequency excitations can be comprehensively examined, allowing for a deeper exploration of its dynamic performance characteristics. Consequently, the frequency response range, amplitude error, and other dynamic performance indicators of the displacement sensor component can be determined more accurately, improving the sensor's measurement accuracy for dynamic displacement signals at different frequencies, enhancing its adaptability under complex dynamic working conditions, and further broadening its applicable scenarios in practical applications.

[0095] Furthermore, after step 4, a data analysis step is also included, which calculates the static performance parameters of the displacement sensor assembly based on the static calibration data and analyzes the dynamic performance parameters of the displacement sensor assembly based on the dynamic calibration data.

[0096] Calculating static performance parameters based on static calibration data allows us to determine the sensor's characteristics in a static state. Analyzing dynamic performance parameters based on dynamic calibration data provides insight into the sensor's performance under dynamic conditions, offering a quantitative basis for evaluating sensor performance. Consequently, we can obtain complete and accurate performance parameters for the displacement sensor assembly, clearly understanding not only its static accuracy and linearity but also its dynamic response speed and frequency characteristics. This helps optimize sensor design and improve its reliability and stability in practical applications.

[0097] Further, step 4 includes a pulse sweep frequency test, setting the speed range of the high-speed motor 6 (from far below the rated frequency of the sensor under test to far above its estimated natural frequency) and the sweep frequency rate, starting the high-speed motor 6, and the data acquisition system synchronously and continuously recording the speed of the high-speed motor 6 and the output signal of the displacement sensor component under test.

[0098] The setting covers a range of rotational speeds and sweep rates from far below the rated frequency of the sensor under test to far above the estimated natural frequency, which can fully stimulate the sensor's different frequency response characteristics. By starting the motor and simultaneously recording the rotational speed and output signal, rich dynamic data can be obtained. Through pulse sweep frequency testing, the sensor's frequency response curve can be accurately plotted, clearly showing its amplitude and phase changes at different frequencies, determining its effective operating frequency range, natural frequency and other key parameters, effectively evaluating the sensor's ability to track and respond to complex dynamic signals, and improving its reliability and accuracy in dynamic measurement scenarios.

[0099] Furthermore, step 2 also includes maintaining the set environmental conditions to a preset stable time before performing the calibration operation.

[0100] After setting the temperature, magnetic field, or a combination of both in step 2, maintain the preset stabilization time. This allows environmental factors to fully act on the displacement sensor assembly, enabling its internal components and materials to reach a stable state adapted to the environment. This eliminates transient interference caused by sudden environmental changes and ensures that subsequent calibration operations are carried out under stable and reliable environmental conditions. As a result, the accuracy and repeatability of calibration results can be improved, measurement errors caused by unstable environments can be reduced, and the performance evaluation of the sensor under different environments can be more realistic and reliable. This, in turn, enhances the sensor's adaptability and measurement accuracy in actual complex and variable working environments.

[0101] Furthermore, in step 3 or step 4, the static calibration step and the dynamic calibration step can be executed sequentially under the same environmental conditions, or executed separately under different environmental conditions.

[0102] When executed sequentially in the same environment, calibration efficiency can be improved, error fluctuations caused by environmental factors can be reduced, and more stable and reliable sensor performance parameters can be obtained. This helps to quickly and accurately evaluate the overall performance of the sensor in a relatively simple environment. When executed separately in different environments, the performance of the sensor in different environments can be understood comprehensively and in detail. This provides more sufficient data support for the application of the sensor in complex and ever-changing actual working conditions. By optimizing the performance of the sensor in different environments, its adaptability and measurement accuracy in various harsh or special environments can be improved.

[0103] Furthermore, the test method also includes changing the groove structure of the tested shaft 2 to perform frequency sweep tests of other waveforms such as sine waves and triangular waves.

[0104] By altering the groove structure of the measured shaft 2 and conducting frequency sweep tests with different waveforms, more diverse actual dynamic displacement changes can be simulated. Different waveforms, such as sine waves and triangular waves, have unique frequency and amplitude variation characteristics, which can comprehensively examine the response capability of the displacement sensor assembly to various dynamic signals. Different waveforms produce different excitation effects on the sensor. Through this diversified testing, the potential performance of the sensor under different dynamic excitations can be deeply explored, and problems that are difficult to expose in conventional testing can be discovered. Sensors that have undergone frequency sweep tests with multiple waveforms can better adapt to the complex and ever-changing dynamic displacement measurement needs in actual work. They can still maintain high measurement accuracy and stability under the interference of different waveform signals, effectively broadening the application field of the sensor.

[0105] Furthermore, the test method also includes the step of changing the groove depth of the tested shaft 2, changing the excitation amplitude at key frequency points, and observing the linearity of the sensor response.

[0106] By changing the groove depth of the measured shaft 2 to conduct multi-amplitude tests, dynamic displacement excitations of different intensities can be simulated. By changing the excitation amplitude at key frequency points, the performance of the displacement sensor component under different amplitude inputs can be comprehensively examined. Observing the response linearity of the sensor under multi-amplitude excitation can accurately determine whether there is a linear relationship between the sensor output signal and the input displacement. This helps to discover potential problems of the sensor in the nonlinear operating region. Through multi-amplitude tests, detailed performance data of the sensor under different amplitudes can be obtained, thereby enabling precise calibration and compensation of the sensor, effectively improving its accuracy in dynamic displacement measurement at different amplitudes and reducing measurement errors.

[0107] Example 4

[0108] Embodiment 4 of the present invention is a further improvement based on Embodiment 3, and aims to solve the technical problem of lack of comprehensive data support for the performance evaluation of sensors under different environmental conditions.

[0109] Step 2 involves setting the environment using the temperature simulation module and / or the magnetic field simulation module, including any of the following modes or combinations:

[0110] Single temperature environment mode: Enables the temperature simulation module and adjusts the ambient temperature according to the set temperature spectrum;

[0111] Single magnetic field environment mode: Enable the magnetic field simulation module and adjust the environmental magnetic field according to the set magnetic field parameters;

[0112] The multi-physics coupled environment mode simultaneously enables the temperature simulation module and the magnetic field simulation module, and initiates magnetic field control after the temperature stabilizes.

[0113] The test employs three environmental simulation modes: a single temperature environment mode, where the temperature simulation module is activated independently and the temperature is adjusted according to a set temperature spectrum; and a single magnetic field environment mode, where the magnetic field simulation module is activated and the magnetic field is adjusted according to set magnetic field parameters; and a single magnetic field environment mode, where the magnetic field effect on sensor performance is examined independently, helping to clarify the sensor's response law in a magnetic field and providing a basis for sensor selection and performance evaluation in magnetic field-related applications. A multi-physics coupling environment mode, where both temperature and magnetic field simulation modules are activated simultaneously, more realistically simulates the multi-physics coupling environment that the sensor may face in actual operation. This mode allows for a comprehensive study of the combined effects of temperature and magnetic field on sensor performance. These three typical environmental simulation modes cover the performance testing needs of sensors under isolated high temperature, isolated strong magnetic field, and high temperature-magnetic field coupling conditions, demonstrating the completeness and flexibility of this test platform in environmental simulation. Combining these three modes, this test method provides comprehensive and accurate data support for sensor performance evaluation under different environmental conditions, improving the applicability, reliability, and stability of sensors in various practical engineering applications.

[0114] Furthermore, in a single temperature environment mode, the subsequent calibration operation is performed after maintaining the ambient temperature stable for a preset time at each target temperature point.

[0115] For example, at each temperature test point, it is necessary to wait for the internal temperature of the resistance temperature chamber to stabilize for at least 5 minutes to ensure that the temperature of the sensor itself is fully balanced with the external environment, so as to accurately observe the changes in its static and dynamic characteristics such as zero drift, linearity, range, bandwidth, and delay with temperature.

[0116] Furthermore, in a single magnetic field environment mode, subsequent calibration operations are performed after maintaining the magnetic field stable for a preset time at each target magnetic field set point.

[0117] For example, at each magnetic field test point, the excitation current of the two-dimensional Helmholtz coil needs to be stabilized for at least 30 seconds to establish a stable and uniform magnetic field environment, so as to accurately observe the changes in the sensor's zero drift, linearity and signal noise in the magnetic field.

[0118] Furthermore, in the multiphysics coupled environment mode, the process includes first starting the temperature simulation module and making the ambient temperature reach and stabilize at the target value, and then starting the magnetic field simulation module to apply the target magnetic field.

[0119] This operating sequence aims to prioritize establishing a high-temperature environment, reducing the risk of overheating and damage to magnetic field simulation modules (such as Helmholtz coils) due to prolonged energization before reaching operating temperature. Once the temperature stabilizes, the magnetic field is then applied, safely constructing extreme operating conditions coupled with high temperature and strong magnetic field. This allows for a comprehensive evaluation of the attenuation of sensor characteristics under such complex environments.

[0120] Furthermore, in the multi-physics coupling environment mode, subsequent calibration operations are performed only after the temperature and magnetic field have reached the set values ​​and stabilized for a preset time.

[0121] In a coupled environment, it is necessary to ensure that both temperature and magnetic field parameters reach a stable state in order to simulate real steady-state working conditions, thereby obtaining reliable performance test data and observing the comprehensive changes in the dynamic and static characteristics of the sensor.

[0122] Example 5

[0123] Embodiment 5 of the present invention is a further improvement based on Embodiment 3 or Embodiment 4, and aims to solve the technical problem that the prior art is difficult to comprehensively and accurately evaluate the performance of displacement sensor components.

[0124] like Figure 4 As shown, step 3 includes:

[0125] Step 3.1, Zero point calibration: Adjust the triaxial displacement actuator 1 to the initial position and record the output value of the displacement sensor component at this time as a reference for software zero point or hardware zeroing.

[0126] Step 3.2, Full-scale pre-run: Slowly move the three-axis displacement actuator from zero to the full scale of the sensor, then return, and observe whether the output value of the displacement sensor assembly is normal;

[0127] Step 3.3, positive stroke calibration: Starting from zero, increase the displacement slowly and steadily point by point according to the preset calibration point sequence. After reaching each target point, wait 5-10 seconds until the output of the displacement sensor component is completely stable. At the same time, record the displacement value of the three-axis displacement actuator 1 and the output value of the displacement sensor component until the full scale end point is reached.

[0128] Step 3.4, reverse travel calibration: at the full scale point, decrease the displacement point by point in the reverse sequence. After each point stabilizes, record the displacement value of the triaxial displacement actuator 1 and the output value of the displacement sensor assembly.

[0129] Step 3.5, Repeatability Test: Based on the single cycle described above, repeat the forward and reverse stroke cycles 3-5 times between the zero point and the full scale point.

[0130] In step 3.1, the triaxial displacement actuator is adjusted to the initial position. The output value of the displacement sensor component corresponding to this position is used as the software zero point or hardware zeroing reference. This step provides a reference point for all subsequent displacement measurements, ensuring that the starting position of subsequent measurements is accurate, eliminating measurement errors caused by uncertain initial positions, and providing a unified reference standard for subsequent calibration and test data.

[0131] In step 3.2, the triaxial displacement actuator is slowly moved from zero to the full scale of the sensor and then returned. The output value of the displacement sensor assembly is observed to see if it is normal. Through pre-run, the basic working status of the sensor can be checked throughout the entire range, and potential mechanical faults (such as actuator movement jamming, loose sensor connection, etc.), electrical faults (such as signal interference, circuit faults, etc.) or sensor performance problems (such as range mismatch, abnormal output, etc.) can be detected in advance, reducing data errors or test interruptions during the formal calibration process.

[0132] In step 3.3, starting from zero, the displacement is slowly and steadily increased point by point according to the preset calibration point sequence. After reaching each target point, wait 5-10 seconds until the output of the displacement sensor component is completely stable. At the same time, record the displacement value of the triaxial displacement actuator and the output value of the displacement sensor component until the full-scale endpoint is reached. The positive stroke calibration is to establish a positive relationship curve between the displacement sensor input (the actual displacement of the triaxial displacement actuator) and the output (the measured value of the sensor component). By accurately measuring and recording at multiple calibration points, the response characteristics of the sensor under different displacements can be accurately obtained, providing basic data for the subsequent calculation of performance indicators such as linearity and sensitivity.

[0133] In step 3.4, the displacement is decreased point by point in the opposite sequence at the full scale point. After each point stabilizes, the displacement value of the triaxial displacement actuator and the output value of the displacement sensor assembly are recorded. The reverse stroke calibration is used to establish the reverse relationship curve between the input and output of the displacement sensor. Combined with the forward stroke calibration, the performance difference of the sensor during the forward and reverse displacement changes can be analyzed, and the presence of backlash error (i.e., the deviation between the forward and reverse measurement results) can be detected. This is crucial for evaluating the accuracy and reliability of the sensor.

[0134] In step 3.5, based on the single cycle described above, 3-5 complete forward-reverse cycles are repeated between the zero point and the full-scale point. The purpose of the repeatability test is to evaluate the consistency of the sensor's output under multiple identical measurement conditions. By repeatedly measuring, the fluctuation of the sensor's output value can be analyzed, the repeatability error can be calculated, and thus the stability and reliability of the sensor can be determined. If the sensor has good repeatability, it means that it can produce a relatively consistent output under the same input conditions, and the measurement results are highly reliable; otherwise, there may be performance instability issues, and further investigation is needed to find the cause.

[0135] In summary, this experimental method achieves a comprehensive and accurate performance evaluation of displacement sensor components. Zero-point calibration establishes a precise benchmark for the entire measurement process, reducing initial errors at the source and ensuring the initial accuracy of subsequent measurement data. Full-scale pre-running acts like a comprehensive "physical examination," identifying potential mechanical, electrical, and performance issues within the sensor's entire range, reducing data deviations caused by fault interference during formal testing. The coordinated forward and reverse stroke calibrations not only accurately construct the forward and reverse input-output relationship curves but also keenly capture the hysteresis error between forward and reverse measurements, comprehensively analyzing the sensor's response characteristics in different displacement directions. Repeatability testing, through multiple complete forward and reverse stroke cycles, deeply analyzes the sensor's output fluctuations under identical conditions, accurately calculates repeatability errors, and further verifies the stability and reliability of the measurement results. These combined steps enable comprehensive and multi-dimensional acquisition of key performance indicators of displacement sensor components, such as linearity, sensitivity, hysteresis error, and repeatability, providing solid and reliable data support for sensor performance optimization and selection, and ensuring measurement accuracy and reliability in various practical engineering applications.

[0136] Those skilled in the art should understand that the above embodiments are merely for illustrating the present invention and are not intended to limit the scope of the invention. Those skilled in the art can make other changes or modifications based on the above disclosure, and these changes or modifications still fall within the scope of the present invention.

Claims

1. An integrated test platform for magnetic levitation bearing displacement sensors, characterized in that, It includes a static calibration module, a temperature simulation module, a magnetic field simulation module, and a displacement sensor assembly; the static calibration module is used to perform static performance calibration on the displacement sensor assembly; the temperature simulation module is used to simulate the temperature conditions in the working environment of the displacement sensor assembly; and the magnetic field simulation module is used to simulate the magnetic field conditions in the working environment of the displacement sensor.

2. The integrated test platform for magnetic levitation bearing displacement sensors according to claim 1, characterized in that, The static calibration module includes a three-axis displacement actuator (1) and the shaft to be measured (2).

3. The integrated test platform for magnetic levitation bearing displacement sensors according to claim 2, characterized in that, In static calibration mode, the triaxial displacement actuator (1) is connected to the displacement sensor assembly and is used to drive the displacement sensor assembly to move along the three orthogonal directions of X, Y and Z.

4. The integrated test platform for magnetic levitation bearing displacement sensors according to claim 1, characterized in that, The displacement sensor assembly includes an axial displacement sensor (3) for measuring axial clearance and a radial displacement sensor (4) for measuring radial clearance.

5. The integrated test platform for magnetic levitation bearing displacement sensors according to claim 2, characterized in that, The triaxial displacement actuator (1) is used to drive the displacement sensor assembly to perform precise displacement relative to the stationary measured shaft (2) in static calibration mode.

6. The integrated test platform for magnetic levitation bearing displacement sensors according to claim 2, characterized in that, The temperature simulation module includes a resistance temperature chamber (8) for heating and temperature control of the area where the displacement sensor assembly and the measured shaft (2) are located.

7. The integrated test platform for magnetic levitation bearing displacement sensors according to claim 2, characterized in that, The magnetic field simulation module includes a two-dimensional Helmholtz coil (9) for generating a controllable uniform magnetic field in the area where the displacement sensor assembly and the measured shaft (2) are located.

8. The integrated test platform for magnetic levitation bearing displacement sensors according to claim 7, characterized in that, The temperature simulation module is set within the magnetic field region generated by the two-dimensional Helmholtz coil (9).

9. A test method for the test platform as described in any one of claims 1-8, characterized in that, include: Step 1. Install the displacement sensor assembly on the triaxial displacement platform and align it with the measuring surface of the shaft being measured (2); Step 2. Set the temperature and / or magnetic field environment using the temperature simulation module and / or magnetic field simulation module.

10. The method according to claim 9, characterized in that, Step 2 includes setting a separate temperature environment, a separate magnetic field environment, or a temperature and magnetic field coupled environment simultaneously.

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