gearbox test bench

Abstract

The application belongs to the technical field of experimental equipment and discloses a gearbox test bench, which comprises a base and a monitoring mechanism; a driving motor is fixedly arranged on the base, and an input sensor is fixedly arranged at the output end of the driving motor; a moving seat is slidably arranged on the base, a load motor and an auxiliary gearbox are arranged above the moving seat, and the rotating shaft of the load motor is coaxially and fixedly connected with the shaft end of the auxiliary gearbox; a positioning mechanism is arranged on each of fixed plate A and fixed plate B; a plurality of supporting seats are arranged on the base, and a supporting mechanism is arranged on each of the supporting seats; a clamping mechanism is fixedly arranged on the upper end of the supporting mechanism on both sides; and the monitoring mechanism is fixedly arranged on the base. The adjusting assembly, the supporting mechanism, the positioning mechanism and the clamping mechanism work cooperatively to ensure that the input / output end is accurately aligned, and the clamping force is monitored in real time through the pressure sensor to avoid loosening or deformation of components. The comprehensive analysis module cross-verify and deeply fuse multi-source data, effectively reducing the risk of misjudgment and omission.

Description

Technical Field

[0001] This application relates to the field of experimental equipment technology, and more specifically, to a gearbox test bench. Background Technology

[0002] After production is completed, transmissions undergo performance testing before being released to the market. This testing includes parameters such as noise level, torque tolerance, and engine speed. As a core component for vehicle power transmission, the transmission's torque tolerance and engine speed stability directly impact driving safety. Inadequate torque tolerance can lead to gear breakage and power interruption under high-speed or heavy-load conditions, resulting in loss of vehicle control. Abnormal engine speeds can cause engine overload, transmission overheating, and even fire. Performance testing, by simulating extreme conditions (such as continuous maximum torque output and operation at extreme speeds), identifies potential faults early, eliminating safety hazards at the source and serving as a crucial line of defense for protecting user safety.

[0003] The prior art publication CN105527093A provides a gearbox test workbench, characterized by comprising a base, a worktable, a motor, and a vertical plate. The base consists of four legs and has the worktable mounted on it. T-slots are evenly distributed on the worktable. The motor and the vertical plate are both mounted on the T-slots. The vertical plate has a connection port for mounting the gearbox and a fixing tool. The advantages and positive effects of this invention are: by combining a simple motor, conversion structure, and auxiliary structure, it achieves general functional testing of the gearbox, greatly reducing production costs and improving production efficiency. It also eliminates some unnecessary tests. In use, only the gearbox to be tested needs to be connected to the drive shaft of the conversion seat and fixed with a shift fork. The device is not only simple in structure and highly automated, but also greatly improves work efficiency, saves manpower and resources, and reduces costs.

[0004] While the existing technical solutions described above can achieve the relevant beneficial effects through their structure, they still have the following drawbacks: 1. Poor test adaptability and insufficient stability: In the existing technology, the adjustment of the gearbox test bench largely relies on manual operation. For different specifications of gearboxes under test, the docking position, support height, and clamping mechanism need to be manually adjusted, which is not only time-consuming and labor-intensive, but also has low adjustment accuracy, making it difficult to ensure accurate alignment of the input / output ends. At the same time, the clamping force lacks a real-time monitoring and dynamic adjustment mechanism, often resulting in loosening and displacement of components during operation due to excessively loose clamping, or deformation of the gearbox housing due to excessively tight clamping, directly affecting the test stability and the accuracy of data acquisition. 2. Low accuracy and insufficient reliability in anomaly judgment. In light of this, we propose a gearbox test bench. Utility Model Content

[0005] 1. Technical problems to be solved The purpose of this application is to provide a gearbox test bench, which solves the technical problems mentioned in the background section and improves test adaptability and stability. By coordinating the operation of the adjustment components, support mechanism, positioning mechanism, and clamping mechanism, the docking position, support height, and clamping force can be flexibly adjusted according to the specifications of the gearbox under test, ensuring precise alignment of the input / output ends. Simultaneously, a pressure sensor monitors the clamping force in real time to prevent component loosening or deformation. This significantly improves the test bench's adaptability to different gearbox models, ensures stable equipment operation during testing, and lays the foundation for accurate subsequent data acquisition. The comprehensive analysis module, through multi-source data cross-validation and deep fusion, avoids the limitations of single sensor or image monitoring, effectively reducing the risk of misjudgment and missed judgment.

[0006] 2. Technical Solution The technical solution of this application provides a gearbox test bench, including: a drive motor, an input sensor, a gearbox under test, an output sensor, a clamping mechanism, an adjustment component, a positioning mechanism, a support mechanism, a moving seat, an auxiliary gearbox, a load motor, a base, and a monitoring mechanism.

[0007] A drive motor is fixedly mounted on the base, and an input sensor is detachably and coaxially fixedly mounted on the output end of the drive motor. A movable seat is slidably mounted on the base, and a load motor and an auxiliary gearbox are detachably fixed on top of the movable seat. The shaft of the load motor and the shaft of the auxiliary gearbox are detachably coaxially fixedly connected.

[0008] The gearbox under test is detachably and coaxially fixedly connected to both the input and output sensors.

[0009] A fixing plate A is fixedly installed on the top of the base; a fixing plate B is fixedly installed on the movable seat; Both fixed plate A and fixed plate B are equipped with positioning mechanisms; the two ends of the gearbox under test are fixed by the positioning mechanisms.

[0010] Multiple support seats are fixedly installed on the base, and each support seat is fixedly equipped with a supporting mechanism. Clamping mechanisms are fixedly installed on both sides of the upper end of the supporting mechanism. The supporting mechanism supports the bottom of the gearbox under test. The clamping mechanism clamps the gearbox under test to improve stability.

[0011] A monitoring mechanism is fixedly installed on the base to monitor the test process of the gearbox under test and detect any abnormalities in a timely manner.

[0012] Using the above technical solution, based on the specifications of the gearbox under test, the position of the moving seat is adjusted by the adjusting component to align the input / output ends of the gearbox with the input and output sensors. The supporting mechanism is raised and lowered to a suitable height to support the gearbox, and the positioning mechanism is connected to the positioning holes of the gearbox via positioning pins. The tightening bolts are tightened, and the force is confirmed by a pressure sensor. The electric push rod of the clamping mechanism pushes a small arc-shaped plate to clamp the gearbox, and the system automatically adjusts the clamping force distribution. The drive motor is started, and the speed and torque are adjusted by the vector frequency converter. Power is transmitted to the gearbox under test via the input sensor, which collects input torque, speed, and temperature data in real time. The power output by the gearbox under test is transmitted to the auxiliary gearbox via the output sensor. The auxiliary gearbox adjusts the speed ratio through gear shifting and then transmits the power to the load motor, which simulates road resistance. The testing mechanism monitors the testing process of the gearbox under test and detects any abnormalities.

[0013] As an optional solution of this utility model, the supporting mechanism includes an electric telescopic rod, a connecting plate, a guide tube, a U-shaped frame, and a support plate; An electric telescopic rod is fixedly installed inside the support base; a U-shaped frame is detachably fixed at the upper end of the movable rod of the electric telescopic rod. The support base has two sliding connecting plates that are hinged together in the middle position. The upper ends of the two connecting plates are horizontally slidably connected to the guide cylinder. A support plate is fixedly installed above the guide cylinder, and a shock-absorbing rubber pad is fixedly installed above the support plate. A pressure sensor is fixedly installed above the support plate.

[0014] The U-shaped frame and two connecting plates are pivotally hinged in the middle position; the guide cylinder is slidably mounted on the support base.

[0015] The guide cylinder is provided with two horizontal slide grooves and one vertical slide groove; the upper end of the connecting plate is slidably set in the horizontal slide groove; the U-shaped frame is slidably set in the vertical slide groove.

[0016] The above technical solution uses an electric telescopic rod to move the U-shaped frame upwards. The U-shaped frame then moves the guide cylinder upwards via two connecting plates, causing the support plate to move upwards, thus adjusting the height of the gearbox under test.

[0017] As an optional embodiment of this utility model, the clamping mechanism includes a fixed block, an electric push rod A, a push plate, an arc-shaped plate, and an electric push rod B; the arc-shaped plate is rotatably mounted on the movable rod of the electric push rod B, and a rubber pad and a pressure sensor are fixedly mounted on the inner side of the arc-shaped plate. A laser rangefinder is fixedly mounted on the push plate.

[0018] Using the above technical solution, electric actuator A is activated, driving the push plate to move inward, causing multiple arc-shaped plates to move inward until one of the arc-shaped plates contacts the gearbox under test. After reaching a certain pressure, electric actuator A stops working, completing the coarse positioning. Then, each electric actuator B operates, causing the arc-shaped plate on electric actuator B to adhere to the gearbox under test until a predetermined pressure is reached. The gearbox under test is then fixed in place.

[0019] As an optional solution of this utility model, the positioning mechanism includes a motor B, a bidirectional lead screw A, a slide bar, a lifting seat, a motor C, a bidirectional lead screw B, and a mounting positioning plate; Both fixed plate A and fixed plate B are rotatably equipped with a two-way lead screw A and a slide rod; Both fixed plate A and fixed plate B are equipped with two lifting seats that can slide on each other; The lifting seat is threadedly connected to the corresponding bidirectional lead screw A; the lifting seat is slidably connected to the corresponding slide rod.

[0020] Motor B is fixedly mounted on fixed plate A and fixed plate B, and the output end of motor B is coaxially and fixedly connected to the corresponding bidirectional lead screw A.

[0021] The lifting base is rotatably equipped with a two-way lead screw B, and the lifting base is slidably equipped with two mounting positioning plates, which are threadedly engaged with the two-way lead screw B.

[0022] The output end of motor C is fixedly installed on the lifting platform and coaxially connected to the corresponding bidirectional lead screw B.

[0023] As an optional solution of this utility model, the monitoring agency includes: Data collection module: collects data from the drive motor, input sensors, gearbox under test, output sensors, auxiliary gearbox, and load motor; collects historical data and labels the data.

[0024] Vibration monitoring module: Includes multiple triaxial piezoelectric accelerometers, which are installed on the input shaft flange, output shaft flange and the middle of the housing of the gearbox under test; the motor body vibration is monitored above the anti-vibration pad of the drive motor; by analyzing the motor vibration characteristics, potential problems such as motor rotor imbalance and bearing damage can be detected in time.

[0025] Diaphragm coupling monitoring module: includes a laser displacement sensor to monitor the runout of the input sensor end face.

[0026] Temperature monitoring module: includes multiple temperature sensors to collect temperature data from the drive motor, input sensor, gearbox under test, output sensor, auxiliary gearbox and load motor in real time; Pressure monitoring module: Includes multiple pressure sensors, reuses the built-in pressure sensor of the clamping mechanism, collects the clamping force of the arc plate in real time, and triggers a clamping abnormality warning when the pressure fluctuation exceeds ±20N. Current monitoring module: Real-time acquisition of current data from the drive motor and the load motor; Voltage monitoring module: Real-time acquisition of voltage data from the drive motor and the load motor; Image acquisition module: includes multiple high-definition cameras to acquire high-definition images of the gearbox testing process; Image analysis module: Analyzes and identifies the acquired images to promptly detect anomalies; Comprehensive Analysis Module: This module deeply integrates and comprehensively evaluates the monitoring results from the image analysis module with monitoring data from various sensors, including vibration, temperature, pressure, current, and voltage.

[0027] Alarm module: Includes an alarm that promptly issues an alert when an abnormal situation is detected.

[0028] Control Center: Network connected to data collection module, vibration monitoring module, diaphragm coupling monitoring module, temperature monitoring module, current monitoring module, voltage monitoring module, image acquisition module, image analysis module, comprehensive analysis module, and alarm module.

[0029] Furthermore, the comprehensive analysis module deeply integrates and comprehensively evaluates the monitoring results from the image analysis module with monitoring data from various sensors such as vibration, temperature, pressure, current, and voltage, including the following steps: 1. Multi-source data reception and integration: Real-time reception of anomaly detection results output by the image analysis module, including anomaly type, location, confidence score, and associated image frame information. Simultaneously, real-time monitoring data from sensors such as vibration, temperature, pressure, current, and voltage are acquired, covering operating parameters of key equipment such as drive motors, gearboxes, and load motors. Historical data resources are integrated, including fault cases of similar equipment, parameter fluctuation ranges under normal operating conditions, and equipment factory standard parameters, to establish a comprehensive database.

[0030] 2. Data Preprocessing: The received data is cleaned, sensor outliers are removed, and short-term missing data is filled in using interpolation to ensure data continuity. Data formats and units are standardized to facilitate cross-dimensional analysis. Unstructured data is structured by converting anomaly types, locations, and other information into quantifiable labels. 3. Construct a multi-dimensional data association model: 3.1 Establish time series correlation to bind image anomaly results within the same time window with sensor data. 3.2 Construct feature mapping relationships and mine the inherent connections between different parameters through historical data. 3.3 Establish a network linking equipment components and clarify the correspondence between each sensor monitoring point and the image capture area.

[0031] 4. Cross-validation: Verifying a single anomalous signal from multiple sources. If image analysis detects "oil leakage", check whether the temperature sensor in the corresponding area has abnormal temperature rise, whether the pressure sensor has fluctuations in clamping force due to oil leakage, and verify whether the vibration signal has an abnormal spectrum due to poor lubrication. If the vibration sensor detects high-frequency vibration, image analysis can be used to confirm whether there are visible abnormalities such as looseness or deformation in the corresponding components, and the current data can be combined to determine whether the motor load is abnormal. Secondary verification of contradictory data: When no abnormality is detected in the image but the sensor data exceeds the limit, high-definition image frames of that period are retrieved for manual review, and the sensor is checked for malfunctions. Calculate the consistency score of anomalous signals: based on the matching degree of multi-source data, filter out anomalous events with high credibility. 5. Anomaly Classification: Classification is based on the impact range of the abnormal signal. 6. Traceability and root cause analysis of anomalies: Invoke the fault knowledge base and match feature combinations of similar historical anomaly cases. Analyze the temporal relationship of parameter changes to determine the abnormal trigger chain: for example, "pressure sensor fluctuation → clamping mechanism loosening → gear meshing deviation → increased vibration → temperature rise → current increase", and locate the initial abnormal point (such as clamping mechanism loosening). Based on the structural characteristics of the equipment, potential causes are deduced: for the deformation of the gearbox housing, load motor pressure data is correlated and analyzed (to determine if there is an overload), installation positioning images (to determine if there is an assembly deviation), and historical maintenance records (to determine if there is fatigue damage). 7. Output of comprehensive conclusions: Generate a standardized analysis report and visualize the results. 3. Beneficial effects One or more technical solutions provided in this application have at least the following technical effects or advantages: 1. This invention improves the adaptability and stability of the test setup: By coordinating the adjustment components, support mechanism, positioning mechanism, and clamping mechanism, the docking position, support height, and clamping force can be flexibly adjusted according to the specifications of the gearbox under test, ensuring precise alignment of the input / output ends. Simultaneously, a pressure sensor monitors the clamping force in real time to prevent component loosening or deformation. This significantly enhances the test bench's adaptability to different gearbox models, ensures stable equipment operation during testing, and lays the foundation for accurate subsequent data acquisition. 2. Achieve multi-dimensional and comprehensive monitoring: Integrates multiple monitoring modules such as vibration, diaphragm coupling, temperature, pressure, current, voltage, and images, covering key dimensions such as vibration characteristics, transmission accuracy, temperature changes, clamping status, motor operating conditions, and appearance abnormalities of equipment operation. 3. The comprehensive analysis module avoids the limitations of single sensor or image monitoring through cross-validation and deep fusion of multi-source data. Using methods such as weighted scoring and Bayesian probability calculation, it verifies the consistency and reliability of abnormal signals, effectively reducing the risk of misjudgment and missed detection. 4. Each module has clearly defined early warning thresholds, enabling real-time response to anomalies in conjunction with the alarm module. Timely warnings of potential risks such as clamping abnormalities, transmission imbalances, and motor overloads allow for proactive measures like shutdowns and parameter adjustments, preventing equipment damage from escalating faults and reducing testing costs and safety hazards. 5. Automated adjustment, monitoring, and analysis processes reduce the need for manual intervention, shortening test preparation time and anomaly handling cycles. Simultaneously, standardized data acquisition and analysis reports (including anomaly levels, root cause analysis, and handling recommendations) provide high-quality data support for gearbox performance evaluation and failure mode research, facilitating in-depth analysis and application of test results and improving overall testing efficiency and research value. Attached Figure Description

[0032] Figure 1 This is an overall schematic diagram of a gearbox test bench disclosed in a preferred embodiment of this application; Figure 2 This is a schematic diagram of the support mechanism of the gearbox test bench disclosed in a preferred embodiment of this application; Figure 3 This is a schematic diagram of the positioning mechanism of the gearbox test bench disclosed in a preferred embodiment of this application.

[0033] Figure label: 1. Drive motor; 2. Input sensor; 3. Gearbox under test; 4. Output sensor; 5. Clamping mechanism; 6. Adjustment component; 7. Positioning mechanism; 8. Supporting mechanism; 9. Moving seat; 10. Auxiliary gearbox; 11. Fixed plate A; 12. Load motor; 13. Slide groove; 14. Support seat; 15. Base; 51. Fixed block; 52. Electric push rod A; 53. Push plate; 54. Arc plate; 55. Electric push rod B; 61. Motor A; 62. Smooth rod; 71. Motor B; 72. Bidirectional lead screw A; 73. Slide rod; 74. Lifting seat; 75. Motor C; 76. Bidirectional lead screw B; 77. Mounting positioning plate; 81. Electric telescopic rod; 82. Connecting plate; 83. Guide cylinder; 831. Horizontal slide groove; 832. Vertical slide groove; 84. U-shaped frame; 85. Support plate; 86. Sliding column; 91. Fixed plate B. Detailed Implementation

[0034] The present application will be further described in detail below with reference to the accompanying drawings.

[0035] Reference Figure 1 This application provides a gearbox test bench, including: a drive motor 1, an input sensor 2, a gearbox under test 3, an output sensor 4, a clamping mechanism 5, an adjustment component 6, a positioning mechanism 7, a support mechanism 8, a moving seat 9, an auxiliary gearbox 10, a load motor 12, a base 15, and a monitoring mechanism.

[0036] A drive motor 1 is fixedly mounted on the base 15. An input sensor 2 is detachably and coaxially fixed to the output end of the drive motor 1. The drive motor 1 is a 15kW permanent magnet synchronous motor (model YVP200L-4), with a rated speed of 1500rpm and a peak torque of 200N・m. It is equipped with a vector frequency converter (response time <10ms) and supports stepless speed regulation from 0-2000rpm. The motor output shaft is connected to the input sensor 2 via a diaphragm coupling. The motor base uses anti-vibration pads (damping coefficient 0.25) to reduce vibration transmission. The input sensor 2 uses a three-in-one sensing unit (model TST-605) for torque, speed, and temperature measurement. Its measurement range is: torque 0-500N・m (accuracy ±0.1%FS), speed 0-10000rpm (resolution 1rpm), and it incorporates a PT100 temperature sensor (measurement range -50~200℃). The sensor uses quick-release flanges (ISO standard interface) at both ends, and is connected to the drive motor 1 and the gearbox under test 3 by 12.9 grade high-strength bolts. The flange runout is controlled within 0.05mm.

[0037] A movable seat 9 is slidably mounted on the base 15. A load motor 12 and an auxiliary gearbox 10 are detachably fixed on top of the movable seat 9. The shaft of the load motor 12 is detachably coaxially fixed to the shaft end of the auxiliary gearbox 10. The load motor is a 22kW asynchronous dynamometer (model DJ22), supporting four-quadrant operation, with a torque measurement range of 0-600 N·m (accuracy ±0.2% FS). The auxiliary gearbox is a shiftable gearbox (three speed ratios: 1.0 / 1.5 / 2.0). The input shaft is connected to the output sensor 4 via a flexible pin coupling, and the output shaft is connected to the load motor 12 via an expansion sleeve (transmitted torque ≤800 N·m). A leveling bolt (adjustment ±3mm) is installed between the base and the platform to ensure coaxiality with the gearbox 3 under test (≤0.1mm / m).

[0038] The gearbox under test 3 is detachably and coaxially fixedly connected to both the input sensor 2 and the output sensor 4. The input shaft of the gearbox under test 3 is connected to the input sensor 2 via a spline sleeve (fitting accuracy H7 / h6), and the output shaft is connected to the output sensor 4 via a universal joint. All connection parts are equipped with lock nuts (Spiller threads) and dustproof sealing rings (fluororubber material, temperature resistance -20~200℃).

[0039] A fixing plate A11 is fixedly installed above the base 15; a fixing plate B91 is fixedly installed on the movable seat 9; Both the fixed plate A11 and the fixed plate B91 are equipped with positioning mechanisms 7; the gearbox 3 to be tested is fixed by the positioning mechanisms 7.

[0040] Multiple support seats 14 are fixedly mounted on the base 15, and each support seat 14 is fixedly mounted with a supporting mechanism 8. Clamping mechanisms 5 are fixedly mounted on both sides of the upper end of the supporting mechanism 8. The supporting mechanism 8 supports the bottom of the gearbox 3 under test. The clamping mechanism 5 clamps the gearbox 3 under test to improve stability.

[0041] A monitoring mechanism is fixedly installed on the base 15. The monitoring mechanism monitors the test process of the gearbox 3 under test and detects abnormalities in a timely manner.

[0042] In this technical solution, based on the specifications of the gearbox 3 under test, the position of the moving seat 9 is adjusted by the adjusting component 6 to align the input / output ends of the gearbox 3 with the input sensor 2 and the output sensor 4. The supporting mechanism 8 is raised and lowered to a suitable height to support the gearbox, and the positioning mechanism 7 is connected to the positioning hole of the gearbox through the positioning pin. The tightening bolts are tightened, and the force is confirmed by the pressure sensor. The electric push rod of the clamping mechanism 5 pushes the small arc plate to clamp the gearbox, and the system automatically adjusts the clamping force distribution. The drive motor 1 is started, and the speed and torque are adjusted by the vector frequency converter. The power is transmitted to the gearbox 3 under test through the input sensor 2, which collects input torque, speed, and temperature data in real time. The power output by the gearbox 3 under test is transmitted to the auxiliary gearbox 10 through the output sensor 4. The auxiliary gearbox transmits the power to the load motor 12 after adjusting the speed ratio by shifting gears. The load motor simulates road resistance (e.g., outputting reverse torque through a preset working condition curve). The testing mechanism monitors the testing process of the gearbox 3 under test and promptly detects any abnormalities.

[0043] Reference Figure 2 The supporting mechanism 8 includes an electric telescopic rod 81, a connecting plate 82, a guide tube 83, a U-shaped frame 84, and a support plate 85; An electric telescopic rod 81 is fixedly installed inside the support base 14; a U-shaped frame 84 is detachably fixed at the upper end of the movable rod of the electric telescopic rod 81; the electric telescopic rod 81 adopts a DC servo electric push rod (model DTZ300), with a rated voltage of 24V, a thrust of 5000N, a stroke range of 100-300mm, a positioning accuracy of ±0.1mm, and a response time of <0.5s.

[0044] Two connecting plates 82 are slidably disposed within the support base 14, and the two connecting plates 82 are pivotally hinged at the middle position; the upper ends of the two connecting plates 82 are horizontally slidably connected to the guide cylinder 83; a support plate 85 is fixedly disposed above the guide cylinder 83, and a shock-absorbing rubber pad is fixedly disposed above the support plate 85. A pressure sensor is fixedly disposed above the support plate 85.

[0045] The U-shaped frame 84 is rotatably hinged to the two connecting plates 82 at the middle position; the guide cylinder 83 is slidably mounted on the support base 14.

[0046] The guide cylinder 83 is provided with two horizontal slide grooves 831 and one vertical slide groove 832; the upper end of the connecting plate 82 is slidably disposed in the horizontal slide groove 831; the U-shaped frame 84 is slidably disposed in the vertical slide groove 832.

[0047] In this technical solution, the U-shaped frame 84 is moved upward by the electric telescopic rod 81, and the U-shaped frame 84 moves upward by the guide cylinder 83 through two connecting plates 82, so that the support plate 85 moves upward, and the height of the gearbox 3 under test can be adjusted.

[0048] Reference Figure 2 The clamping mechanism 5 includes a fixed block 51, an electric actuator A 52, a push plate 53, an arc-shaped plate 54, and an electric actuator B 55. The arc-shaped plate 54 is rotatably mounted on the movable rod of the electric actuator B 55, and a rubber pad and a pressure sensor are fixedly mounted on the inner side of the arc-shaped plate 54. A laser rangefinder is fixedly mounted on the push plate 53.

[0049] The curved plate 54 is forged from high-strength ductile iron (QT450-10), with an interchangeable radius of curvature (50-200mm, 25mm intervals) and rounded edges. A fluororubber pad is bonded to the inner side, with an anti-slip grid pattern pressed onto its surface. Four miniature pressure sensors (model FSS1500N, range 0-1500N, accuracy ±2%FS) are built-in. The sensors are fixed to the curved plate with countersunk bolts, and wires are led out along pre-drilled grooves in the plate.

[0050] In this technical solution, the electric actuator A52 is activated, driving the push plate 53 to move, causing multiple arc-shaped plates 54 to move inward. One of the arc-shaped plates 54 contacts the gearbox 3 under test. After reaching a certain pressure, the electric actuator A52 stops working, completing the coarse positioning. At this time, the other arc-shaped plates maintain a 2-5mm gap with the housing, reserving space for adaptive adjustment. Then, each electric actuator B55 operates, causing the arc-shaped plate 54 on the electric actuator B55 to adhere to the gearbox 3 under test, reaching the predetermined pressure. The gearbox 3 under test is then fixed. Adaptive curved surface fitting can be achieved. The interchangeable curvature design of the arc-shaped plate 54, combined with the swing joint of the electric actuator B55, can adapt to various gearbox housings such as cylindrical surfaces, stepped surfaces, and irregular curved surfaces, achieving a fitting rate of over 95%, solving the problem of excessive local stress in traditional rigid clamps. Distributed pressure sensors and independent electric actuators B55 form a closed-loop control, allowing for differentiated clamping forces to be set according to the gearbox material, avoiding over-clamping deformation or loosening.

[0051] Reference Figure 3 The positioning mechanism 7 includes a motor B71, a double-acting lead screw A72, a slide bar 73, a lifting seat 74, a motor C75, a double-acting lead screw B76, and a mounting positioning plate 77. Both the fixed plate A11 and the fixed plate B91 are rotatably equipped with a two-way lead screw A72 and a slide bar 73; Both the fixed plate A11 and the fixed plate B91 are equipped with two sliding lifting seats 74; The lifting seat 74 is threadedly connected to the corresponding bidirectional lead screw A72; the lifting seat 74 is slidably connected to the corresponding slide rod 73.

[0052] A motor B71 is fixedly mounted on fixed plate A11 and fixed plate B91, and the output end of motor B71 is coaxially fixedly connected to the corresponding bidirectional lead screw A72.

[0053] The lifting seat 74 is rotatably equipped with a two-way lead screw B76, and the lifting seat 74 is slidably equipped with two mounting positioning plates 77, which are threadedly engaged with the two-way lead screw B76.

[0054] The output end of the motor C75 is fixedly installed on the lifting seat 74 and is coaxially and fixedly connected to the corresponding bidirectional lead screw B76.

[0055] In this technical solution, the starter motor B71 drives the bidirectional lead screw B76 to rotate, and the bidirectional lead screw B76 drives the two lifting seats 74 to move synchronously in opposite directions, adjusting the distance between the two lifting seats 74. The starter motor C75 drives the bidirectional lead screw B76 to rotate, and the bidirectional lead screw B76 drives the two mounting positioning plates 77 to move synchronously in opposite directions, adjusting the distance between the mounting positioning plates 77.

[0056] Furthermore, the monitoring agencies include: The data collection module collects data from drive motor 1, input sensor 2, gearbox under test 3, output sensor 4, auxiliary gearbox 10, and load motor 12; it also collects historical data and annotates it. The collected drive data covers various types, including vibration, temperature, and pressure, ensuring comprehensive monitoring of the core test equipment. It automatically retrieves and integrates historical test data, which includes various parameter records for different operating conditions and gearbox models. Simultaneously, it accurately annotates both new and historical data, including key information such as the corresponding equipment operating conditions, time points, and test stages, providing a standardized, high-quality data source for subsequent data analysis, anomaly identification, and model training.

[0057] Vibration monitoring module: Includes multiple triaxial piezoelectric accelerometers (model PCB356A16), which are installed on the input shaft flange, output shaft flange and the middle of the housing of the gearbox under test 3; the vibration of the motor body is monitored above the anti-vibration pad of the drive motor 1; by analyzing the vibration characteristics of the motor, potential problems such as motor rotor imbalance and bearing damage can be detected in time, providing vibration dimension monitoring support for the stable operation of the equipment.

[0058] Diaphragm coupling monitoring module: Includes a laser displacement sensor (model Keyence IL-1000), which monitors the runout of the two end faces of the input sensor at a 45° angle (range 0-5mm, accuracy ±0.01mm). An alert is issued when the runout exceeds 0.05mm (matched to the flange runout threshold). When the detected runout exceeds 0.05mm, the system will immediately issue an alert. This threshold setting matches the standard threshold for flange runout, effectively preventing problems such as accelerated equipment wear and decreased transmission efficiency caused by excessive diaphragm coupling end face runout, ensuring the stability of power transmission. Temperature monitoring module: Includes multiple temperature sensors to collect temperature data in real time from drive motor 1, input sensor 2, gearbox under test 3, output sensor 4, auxiliary gearbox 10 and load motor 12; the sensors can collect temperature data from each device in real time, and by continuously tracking the temperature change trend, it can promptly detect abnormal temperature rises or abnormal fluctuations caused by overload, poor lubrication, component wear and other reasons, providing key data support for overheat protection and fault diagnosis of the equipment.

[0059] Pressure monitoring module: Includes multiple pressure sensors, reusing the built-in pressure sensor (range 0-1500N) of the clamping mechanism 5, to collect the clamping force of the arc plate 54 in real time. When the pressure fluctuation exceeds ±20N, a clamping abnormality warning is triggered. This mechanism effectively avoids problems such as component loosening or displacement due to insufficient clamping force, or component deformation or damage due to excessive clamping force, ensuring the stable clamping state of the component during the test. Current monitoring module: Real-time acquisition of current data from drive motor 1 and load motor 12; by analyzing parameters such as current magnitude, frequency of change, and fluctuation amplitude, it can determine the motor's load condition, operating efficiency, and whether there are potential faults such as stalling or short circuits. For example, when the motor is overloaded, the current will increase significantly, and this module can promptly capture this change, providing a basis for motor protection and adjustment of test parameters.

[0060] Voltage monitoring module: Real-time acquisition of voltage data of drive motor 1 and load motor 12; By monitoring parameters such as voltage amplitude, frequency, and waveform distortion, abnormal conditions such as excessively high voltage, excessively low voltage, and excessive fluctuations can be detected in a timely manner, avoiding motor performance degradation, damage, or test data distortion caused by voltage problems.

[0061] Image acquisition module: includes multiple high-definition cameras to acquire high-definition images of the gearbox testing process; Image Analysis Module: This module analyzes and identifies acquired images, promptly detecting anomalies. Utilizing image recognition and pattern recognition technologies, it automatically detects and judges the status, movement, and abnormal traces (such as oil leaks, deformation, and smoke) of equipment components within the images. This module can quickly identify various anomalies during testing, providing strong support for the timely detection of abnormalities in equipment appearance and movement.

[0062] Noise monitoring module: includes a four-channel microphone array (model GRAS46BE, frequency range 20Hz-20kHz, accuracy ±1dB), installed at: 30cm directly in front of the housing of the gearbox under test (main test position, to capture meshing noise); 50cm from the flange side of the input shaft end (auxiliary measurement position to distinguish between motor and gearbox noise); 1m outside the protective cover of the test bench (simulating the cockpit environment to assess radiated noise). Add a background noise sensor to deduct external environmental interference (such as workshop equipment noise) in real time to ensure that the effective signal-to-noise ratio is ≥20dB.

[0063] The comprehensive analysis module deeply integrates and comprehensively evaluates the monitoring results from the image analysis module with monitoring data from various sensors such as vibration, temperature, pressure, current, and voltage. By establishing multi-dimensional data association models and analysis algorithms, and performing cross-validation and comparative analysis on various types of data, it can more accurately determine the nature, severity, and possible causes of anomalies, avoiding misjudgments or omissions caused by single data monitoring. This provides comprehensive and reliable analytical conclusions for precise control of experiments and fault diagnosis.

[0064] Alarm module: Includes an alarm that promptly issues an alert when an abnormal situation is detected.

[0065] The control center is network-connected to the data collection module, vibration monitoring module, diaphragm coupling monitoring module, temperature monitoring module, current monitoring module, voltage monitoring module, image acquisition module, image analysis module, comprehensive analysis module, and alarm module. The control center can centrally schedule, set parameters, and manage data for each module. Staff can view the monitoring data, analysis results, and alarm information of each module in real time through the control center's interface, achieving centralized control and efficient management of the entire monitoring process.

[0066] Furthermore, the image analysis module analyzes and identifies the acquired images to promptly detect anomalies; this includes the following steps: 1. Image preprocessing: Preprocessing the acquired images, including noise filtering, contrast enhancement, and distortion correction; Noise filtering: The high-definition images are processed using algorithms such as Gaussian filtering and median filtering to remove salt-and-pepper noise and Gaussian noise caused by changes in lighting, camera shake, or electromagnetic interference, ensuring the stability of image pixel information. Contrast Enhancement: Through histogram equalization and adaptive contrast adjustment techniques, the grayscale difference between the device components and the background in the image is enhanced, highlighting key details such as gear edges and connection gaps, laying the foundation for subsequent feature extraction. Distortion correction: Based on camera calibration parameters (such as intrinsic parameter matrix and distortion coefficients), geometric correction is performed on the image to eliminate part shape distortion (such as a circle becoming an ellipse) caused by lens viewing angle deviation, ensuring the accuracy of equipment size measurement. 2. Feature extraction: Feature extraction is performed on the preprocessed image, including static feature extraction and dynamic feature extraction; Static feature extraction: Edge detection algorithms (such as the Canny operator) are used to extract the contour features of equipment components and obtain the shape parameters (such as diameter, angle, and distance) of static structures such as gear tooth tip circle, shell edge, and flange end face. By converting the color space (e.g., from RGB to HSV), the color features of the component surface are extracted to establish a color reference under normal conditions (e.g., the metallic primary color of the gearbox housing, the transparent / pale yellow of the lubricating oil). Texture analysis techniques (such as gray-level co-occurrence matrix) are used to capture the texture patterns of the shell surface and gear tooth surface, and record the texture distribution patterns under normal wear conditions. Dynamic feature extraction: The optical flow method (Lucas-Kanade algorithm) is used to track the motion trajectory of the components in continuous frame images, calculate the speed, acceleration and displacement changes of gear meshing and shaft rotation, and establish a time series model of motion parameters. Extract the difference information between adjacent frames to identify abnormal movements of equipment components (such as non-uniform rotation or axial movement). 3. Construct a normal state model: Establish a template library, collect a large number of equipment images under normal working conditions, and generate standardized templates after feature extraction. These templates cover static structural templates (such as normal flange flatness templates) and dynamic motion templates (such as gear normal speed trajectory templates) for different types of gearboxes and motors under no-load and full-load conditions. Setting thresholds: Based on historical data statistical analysis, set normal threshold ranges for key features, for example: The area threshold for oil leakage marks (under normal conditions, the oil leakage area is ≤0.5cm²). The maximum offset of the shell deformation (≤0.2mm under normal conditions); The grayscale range of the smoky area (there is no high grayscale smoke area under normal conditions). 4. Anomaly Detection: 4.1 Static Feature Comparison: The extracted component contours in real time are matched with static structural templates in the template library (using template matching algorithms such as SSD and SIFT feature matching). If the contour deviation exceeds the threshold (e.g., gear tooth pitch deviation > 0.1mm), it is marked as a structural anomaly. The system monitors changes in component surface color in real time. If a color that exceeds the normal range appears (such as a dark red color on the casing due to overheating or black patches caused by oil leakage), a color anomaly warning is triggered. By comparing texture features, if abnormal scratches or peeling of gear teeth are detected on the shell surface, it is determined to be an abnormal surface damage. 4.2 Dynamic Feature Comparison: Track the motion trajectory of the component in real time and compare it with the time series model of the normal motion template. If the speed fluctuation exceeds ±5% or the axial movement is >0.3mm, it is judged as an abnormal motion state. Frame difference analysis is used to identify abnormal dynamic events (such as sudden stuttering or non-periodic vibration), and the motion stability is judged by combining the changes in optical flow vector. 4.3 Detection of specific anomaly types: Oil leak detection: Based on color features (dark areas) and texture features (liquid diffusion texture), semantic segmentation algorithms (such as U-Net) are used to identify oil leak areas, calculate the area and compare it with a threshold. Deformation detection: The three-dimensional point cloud data of the component is acquired through binocular vision or structured light technology, compared with the normal three-dimensional model, and the volume change of the deformed area is calculated. If the volume change exceeds the threshold (e.g., local bulges in the shell > 0.5mm), an early warning is triggered. Smoke Detection: Utilizing the dynamic diffusion characteristics and grayscale changes of smoke, a smoke recognition algorithm is trained using a deep learning model (such as YOLOv5) to detect smoke regions in images in real time and determine the concentration level. 5. Result Validation: For initially detected abnormal features, a multi-feature cross-validation mechanism is employed. For example, if an "oil leak" anomaly is detected, it is necessary to simultaneously verify whether the color feature (dark color), texture feature (liquid diffusion), and dynamic feature (continuous expansion trend) all meet the anomaly conditions to improve recognition accuracy. Association judgment rules: If the area of ​​the oil leak is greater than 0.5 cm² (exceeding the normal threshold) and the low-frequency noise value is greater than the normal baseline by more than 5 dB, it is judged as "high confidence oil seal wear" (confidence score is directly increased to ≥85 points). If only oil leakage is detected but low-frequency noise is not abnormal, it is necessary to further verify whether the oil leakage area is static residue (such as excess grease during assembly), and the confidence score is lowered to 60-70 points to trigger manual review; if low-frequency noise is abnormal but oil leakage is not detected, it is pushed to the comprehensive analysis module, and combined with temperature data (such as whether the bearing temperature has increased) to determine whether it is due to poor gear lubrication (not an oil seal problem).

[0067] Calculate the confidence score (0-100) for anomaly detection. When the score is ≥80, it is judged as a high-confidence anomaly and an early warning is triggered directly. When the score is 60-79, it is marked as a suspected anomaly and pushed to manual review. When the score is <60, it is judged as a false detection and included in the model optimization dataset. 6. Anomaly Information Output Linkage: Generates standardized anomaly reports, including anomaly type (e.g., oil leak, gear deformation), location (e.g., transmission output shaft flange), severity (based on feature deviation level), timestamp, and associated image frames. The anomaly report is transmitted in real-time to the comprehensive analysis module for fusion analysis with vibration, temperature, and other sensor data to help pinpoint the root cause of the anomaly (e.g., oil leaks may be accompanied by abnormal temperature increases).

[0068] Furthermore, the comprehensive analysis module deeply integrates and comprehensively evaluates the monitoring results from the image analysis module with monitoring data from various sensors such as vibration, temperature, pressure, current, and voltage, including the following steps: 1. Multi-source data reception and integration: Real-time reception of anomaly detection results output by the image analysis module, including anomaly type (e.g., oil leak, deformation), location, confidence score, and associated image frame information. Simultaneously, real-time monitoring data from sensors such as vibration, temperature, pressure, current, and voltage are acquired, covering operating parameters of key equipment such as drive motors, gearboxes, and load motors. Historical data resources are integrated, including failure cases of similar equipment, parameter fluctuation ranges under normal operating conditions, and equipment factory standard parameters, to establish a comprehensive database. 2. Data Preprocessing: The received data is cleaned, removing sensor outliers (such as transient jumps or missing data). Interpolation is used to fill in short-term missing data, ensuring data continuity. Data formats and units are standardized to facilitate cross-dimensional analysis. Unstructured data (such as image analysis conclusions) is structured by converting anomaly types, locations, and other information into quantifiable labels. 3. Construct a multi-dimensional data association model: 3.1 Establish time series correlations to bind image anomalies within the same time window with sensor data. For example, a time correlation pair can be formed between "sudden rise in shell temperature" and "smoke detected in the image" at a certain moment. 3.2 Construct feature mapping relationships and mine the inherent connections between different parameters through historical data, for example: The high-frequency impact signal from the vibration sensor was correlated with "gear meshing anomaly" in the image; A sudden increase in the load motor current is correlated with the image characteristics of "gearbox jamming"; The pressure sensor fluctuations matched the image observations of "clamping mechanism loosening". Vibration-noise spectrum comparison and correlation: For example, when the vibration acceleration is >0.5g and the corresponding frequency noise is >85dB, it is judged as abnormal gear meshing (40% improvement in accuracy compared to single vibration judgment). Automatically retrieve the noise baseline data of the same model of gearbox (e.g., the average noise of a certain model in third gear is 72dB). When the deviation of the newly measured data is >3dB, it is marked as "performance dispersion" and a retest is initiated.

[0069] 3.3 Establish a network linking equipment parts and clarify the correspondence between each sensor monitoring point and the image capture area (e.g., the monitoring range of vibration sensor A3 and camera C2 corresponding to "gearbox output shaft end").

[0070] 4. Cross-validation: Verifying a single anomalous signal from multiple sources. If image analysis detects "oil leakage", check whether the temperature sensor in the corresponding area has abnormal temperature rise, whether the pressure sensor has fluctuations in clamping force due to oil leakage, and verify whether the vibration signal has an abnormal spectrum due to poor lubrication. If the vibration sensor detects high-frequency vibration, image analysis can be used to confirm whether there are visible abnormalities such as looseness or deformation in the corresponding components, and the current data can be combined to determine whether the motor load is abnormal. Secondary verification of contradictory data: When no abnormality is detected in the image but the sensor data exceeds the limit (such as a sudden temperature rise), high-definition image frames of that period are retrieved for manual review, and the sensor is checked for faults (such as loose wiring). Calculate the consistency score of abnormal signals: Based on the matching degree of multi-source data (if 3 or more data points confirm the abnormality, the score is 100 points, and if only 1 data point is abnormal, the score is ≤30 points), filter out high-confidence abnormal events. 5. Anomaly Classification: Anomalies are classified into levels based on the range of influence of the abnormal signal. Minor anomalies: A single parameter deviates from the normal range but does not trigger related anomalies (e.g., a temperature sensor slightly overheats, but the image and other sensors show no anomalies). Moderate anomaly: Two or more related data are abnormal, but the core functions of the equipment are not affected (e.g., the oil leakage area is small and the temperature rises slightly, and the motor operating parameters are stable). Serious anomaly: Multiple key parameters exceed limits and there is a chain reaction (such as smoke accompanied by a sudden rise in temperature and a surge in current, and the image shows obvious component deformation). The evaluation criteria were adjusted according to the equipment operation stage: in the no-load test, the tolerance for slight vibration abnormalities was higher than that in the full-load test; in the high-speed operation stage, the warning threshold for temperature fluctuations was stricter than that in the low-speed stage. 6. Traceability and root cause analysis of abnormalities: Call the fault knowledge base and match the feature combinations of similar historical abnormal cases (such as "oil leakage + temperature rise + abnormal vibration" corresponding to the "seal wear" fault mode). Analyze the temporal relationship of parameter changes to determine the abnormal trigger chain: for example, "pressure sensor fluctuation → clamping mechanism loosening → gear meshing deviation → increased vibration → temperature rise → current increase", and locate the initial abnormal point (such as clamping mechanism loosening). Based on the structural characteristics of the equipment, potential causes are deduced: for the deformation of the gearbox housing, load motor pressure data is correlated and analyzed (to determine if there is an overload), installation positioning images (to determine if there is an assembly deviation), and historical maintenance records (to determine if there is fatigue damage). 7. Output of Comprehensive Conclusions: Generate a standardized analysis report, including: Anomaly Summary: Integrates the type, location, level, and time sequence of all high-confidence anomalies; Root cause analysis: Identify the most likely cause of the failure and supporting evidence (e.g., "80% probability of bearing wear, corroborating data include abnormal vibration spectrum, temperature rise, and bearing end cap deformation in the image"). Recommended measures: Provide operational suggestions for different levels of abnormality (e.g., minor abnormalities require enhanced monitoring, while severe abnormalities require immediate shutdown and maintenance). The report is simultaneously pushed to the control center and relevant staff terminals, along with an animated demonstration of the anomaly's development sequence (such as a visualization of the process from the occurrence of oil leakage to the temperature rise). The working principle of this utility model's gearbox test bench is as follows: Based on the specifications of the gearbox 3 under test, the position of the moving seat 9 is adjusted by the adjusting component 6, aligning the input / output ends of the gearbox 3 with the input sensor 2 and output sensor 4. The supporting mechanism 8 is raised and lowered to a suitable height to support the gearbox. The positioning mechanism 7 is connected to the gearbox positioning hole via a positioning pin, and the tightening bolts are tightened, with the force confirmed by a pressure sensor. The electric push rod of the clamping mechanism 5 pushes a small arc-shaped plate to clamp the gearbox, and the system automatically adjusts the clamping force distribution. The drive motor 1 is started, and the speed and torque are adjusted by the vector frequency converter. Power is transmitted to the gearbox 3 under test via the input sensor 2, which collects input torque, speed, and temperature data in real time. The power output from the gearbox 3 under test is transmitted to the auxiliary gearbox 10 via the output sensor 4. The auxiliary gearbox adjusts the speed ratio through gear shifting and then transmits the power to the load motor 12, which simulates road resistance. The testing mechanism monitors the testing process of the gearbox 3 under test and promptly detects any abnormalities.

[0071] This invention improves the adaptability and stability of testing: by coordinating the adjustment components, support mechanism, positioning mechanism, and clamping mechanism, the docking position, support height, and clamping force can be flexibly adjusted according to the specifications of the gearbox under test, ensuring precise alignment of the input / output ends. Simultaneously, a pressure sensor monitors the clamping force in real time to prevent component loosening or deformation. This significantly enhances the test bench's adaptability to different gearbox models, ensuring stable equipment operation during testing and laying the foundation for accurate subsequent data acquisition. The comprehensive analysis module avoids the limitations of single sensor or image monitoring through multi-source data cross-validation and deep fusion. Using methods such as weighted scoring and Bayesian probability calculation, the consistency and reliability of abnormal signals are verified, effectively reducing the risk of misjudgment and missed judgment. The above-described embodiments are only used to illustrate the technical solutions of this utility model, and are not intended to limit it. Although this utility model has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this utility model.

Claims

1. A gearbox test bench, comprising a drive motor, an input sensor, a gearbox under test, an output sensor, a clamping mechanism, an adjustment assembly, a positioning mechanism, a support mechanism, a moving base, an auxiliary gearbox, a load motor, a base, and a monitoring mechanism; characterized in that: A drive motor is fixedly mounted on the base, and an input sensor is detachably and coaxially fixedly mounted on the output end of the drive motor. A movable seat is slidably mounted on the base, and a load motor and an auxiliary gearbox are detachably fixed on the upper part of the movable seat. The shaft of the load motor and the shaft of the auxiliary gearbox are detachably coaxially fixedly connected. The gearbox under test is detachably and coaxially fixedly connected to both the input and output sensors. A fixing plate A is fixedly installed on the top of the base; a fixing plate B is fixedly installed on the movable seat; Both fixed plate A and fixed plate B are equipped with positioning mechanisms; the two ends of the gearbox to be tested are fixed by the positioning mechanisms; multiple support seats are fixedly installed on the base, and each support seat is fixedly equipped with a supporting mechanism; clamping mechanisms are fixedly installed on both sides of the upper end of the supporting mechanism. A monitoring mechanism is fixedly installed on the base to monitor the test process of the gearbox under test and detect any abnormalities in a timely manner.

2. The gearbox test bench according to claim 1, characterized in that: The supporting mechanism includes an electric telescopic rod, a connecting plate, a guide tube, a U-shaped frame, and a support plate; An electric telescopic rod is fixedly installed inside the support base; a U-shaped frame is detachably fixedly installed at the upper end of the movable rod of the electric telescopic rod; two connecting plates are slidably installed inside the support base, and the two connecting plates are rotatably hinged at the middle position; the upper ends of the two connecting plates are horizontally slidably connected to the guide cylinder; a support plate is fixedly installed above the guide cylinder; the U-shaped frame is rotatably hinged to the two connecting plates at the middle position; the guide cylinder is slidably installed on the support base.

3. The gearbox test bench according to claim 1, characterized in that: The clamping mechanism includes a fixed block, an electric push rod A, a push plate, an arc plate, and an electric push rod B; the arc plate is rotatably mounted on the movable rod of the electric push rod B, and a rubber pad and a pressure sensor are fixedly mounted on the inner side of the arc plate.

4. The gearbox test bench according to claim 1, characterized in that: The positioning mechanism includes motor B, double-acting lead screw A, slide bar, lifting seat, motor C, double-acting lead screw B, and mounting positioning plate; Both fixed plate A and fixed plate B are rotatably equipped with a two-way lead screw A and a slide rod; Both fixed plate A and fixed plate B are equipped with two lifting seats that can slide on each other; The lifting seat is threadedly connected to the corresponding bidirectional lead screw A; the lifting seat is slidably connected to the corresponding slide rod; a motor B is fixedly installed on the fixed plate A and the fixed plate B, and the output end of the motor B is coaxially fixedly connected to the corresponding bidirectional lead screw A. The lifting base is rotatably equipped with a bidirectional lead screw B, and two mounting and positioning plates are slidably mounted on the lifting base. The mounting and positioning plates are threadedly engaged with the bidirectional lead screw B. The output end of the motor C is fixedly mounted on the lifting base and coaxially fixedly connected to the corresponding bidirectional lead screw B.

5. The gearbox test bench according to claim 2, characterized in that: A shock-absorbing rubber pad is fixedly installed above the tray.

6. The gearbox test bench according to claim 2, characterized in that: A pressure sensor is fixedly installed above the tray.

Images