743results about "Machine gearing/transmission testing" patented technology

The invention relates to the technical field of equipment fault diagnosis, and discloses an intelligent fault detection method for a speed reducer, and the method comprises the steps: extracting fault feature knowledge from a source domain based on a domain adaptive transfer learning algorithm, migrating the fault feature knowledge to a target domain, and generating a synthetic fault sample based on physical model constraints; constructing interaction influence among the multi-subject causal capture equipment; executing causal intervention and anti-factual reasoning, and determining a fault root cause; constructing a fault knowledge graph and continuously optimizing the fault knowledge graph; and constructing a preventive maintenance decision system to generate an optimal maintenance strategy. According to the method, high-accuracy fault diagnosis can be realized under the condition of sample scarcity, interaction influence among multiple devices is analyzed, fault root causes are traced, and reliable preventive maintenance decision support is provided.

The invention discloses a face gear planetary transmission system dynamic uniform load test platform and test method, and belongs to the field of gear transmission, and the test platform comprises a rack, a drive motor, a step-up gear box, a face gear planetary transmission system, a magnetic powder brake, a torque sensor, a slip ring, a stress strain test system and the like. The face gear planetary transmission system comprises an input face gear, a planet wheel, a planet carrier, a fixed face gear and the like. According to the dynamic uniform load test, stress values at the tooth root of the face gear and the tooth root of the planetary gear are measured mainly through strain gauges, and the corresponding relation between the tooth root stress and the meshing force at the gear meshing point is obtained through finite element simulation. And calculating the dynamic uniform load coefficient according to the dynamic meshing force root-mean-square values and the average values obtained at the tooth roots of the face gear and the planetary gear. By testing and analyzing the dynamic uniform load coefficient, the load distribution characteristic of the face gear planetary transmission system can be accurately revealed, a scientific basis is provided for structural parameter optimization, meshing performance improvement and reliability design of the face gear planetary transmission system, and then accurate and high-performance design of the transmission system is achieved.

The invention relates to the field of mechanical engineering, discloses a speed reducer multi-field loss balancing method and system based on working condition self-adaptive feedback, and aims to solve the problems of local loss concentration, intensified temperature rise and low energy efficiency caused by neglect of a multi-physical field coupling relation in the prior art. The method comprises the following steps: acquiring mechanical, thermal, fluid and electromagnetic parameters in operation of the speed reducer through a distributed sensor, and generating a standardized working condition state vector; and inputting into a mechanical-thermal-fluid-electromagnetic four-field coupling model, and solving the space-time loss distribution of the key component by combining with a data driving correction term. According to the scheme, refined prediction and closed-loop regulation and control of multi-field loss distribution are achieved, the local temperature difference and energy consumption concentration are remarkably reduced, the energy efficiency of the whole machine is improved by 8%-15%, the service cycle is prolonged, and the method is suitable for a high-end equipment transmission system under the high-dynamic heavy-load working condition.

The invention relates to a transmission shaft bench test device and method, and the device comprises a bumping sliding mechanism which comprises a pedestal, the pedestal is in sliding connection with a sliding platform through a sliding rail, and the pedestal is provided with a first actuator which drives the sliding platform to do reciprocating lifting motion in the length direction of the sliding rail; the side-tipping rotating mechanism comprises a side-tipping platform rotationally connected with the sliding platform through a rotating shaft, and a second actuator for driving the side-tipping platform to rotate around the rotating shaft is connected between the sliding platform and the side-tipping platform; the steering driving mechanism comprises a gearbox fixed on the roll platform, an input shaft of the gearbox is connected with a driving motor through a coupler, an output shaft of the gearbox is connected with a transmission shaft to be tested, and the transmission shaft to be tested is connected with a dynamometer. Performance and endurance tests of the transmission shaft under multiple working conditions can be simulated and detected more truly, and objectivity and accuracy of detection of the detected transmission shaft are improved.

The invention relates to a harmonic reducer fault diagnosis method based on double-branch feature fusion. The harmonic reducer fault diagnosis method comprises the following steps: synchronously acquiring multi-sensor data of a harmonic reducer acquired by vibration, acoustic emission and current sensors; processing the multi-sensor data through a one-dimensional convolutional neural network to obtain data in a two-dimensional matrix form; the data in the two-dimensional matrix form is input into a pre-trained model, and the processing process of the model is as follows: feature extraction is performed on the data in the two-dimensional matrix form through an MCWGraphKAN branch feature extraction module and a GBiMama branch feature extraction module to obtain a first feature and a second feature, the first feature and the second feature are fused and then mapped to a sample space through a full-connection layer, and the data in the two-dimensional matrix form are obtained; and fault classification is realized. The method achieves the fault diagnosis of the harmonic reducer through a deep learning method, and is used for solving the problems that a single sensor cannot fully express the operation state of the harmonic reducer, and the fault feature extraction of a single-branch network is insufficient.

The invention relates to the technical field of machine tool spindle performance testing, in particular to a high-precision spindle performance testing method and system, and the method comprises the steps: initializing a mirror image prototype of a spindle in a performance testing platform according to the main structure and working condition environment constraints of a spindle body; establishing a load control instruction set according to the mirror image prototype and based on the motion state of the main shaft body in the composite performance test scene; according to the load control instruction set, dynamic disturbance is executed on the spindle body, and performance change characteristics of the spindle body are captured in the disturbance process; combining the performance change characteristics with the mirror image prototype, executing self-organizing calibration of prototype parameters of the main shaft body, and generating an enhanced mirror image body with working condition adaptability; and a load control instruction set is newly calculated based on the enhanced mirror body weight, dynamic disturbance of multi-axis linkage is triggered, and a performance detection result is output. According to the invention, the problem of real-time mismatch of main shaft performance simulation and actually measured data under the high variable load condition is effectively solved.

The invention provides a transmission chain fault diagnosis system and method of a wind generating set. The system comprises a data acquisition module, a global rotating speed characteristic matrix determination module, a transmission logic characteristic matrix determination module, a graph data coding module, a characteristic distribution correction module and a fault diagnosis result generation module. According to the technical scheme provided by the invention, real-time intelligent monitoring can be accurately carried out on the transmission chain of the wind generating set, so that the fault early warning is automatically generated when the fault of a certain part of the transmission chain is detected, the operation safety of a fan is ensured, and the accuracy of fault diagnosis is improved.

The invention discloses an involute helical gear tooth surface waviness rapid detection method based on wavelet transformation, relates to the technical field of gear measurement and evaluation, and aims to solve the problems of low efficiency, insufficient anti-interference capability and limited extraction precision in existing tooth surface waviness detection. High-density data sampling is carried out on a specified tooth surface of an involute helical gear, a multi-scale characteristic decomposition signal of wavelet transform is utilized, a tooth surface waviness signal is separated from complex morphology characteristic components, and in combination with a threshold optimization algorithm, detail characteristics of waviness are effectively reserved, and meanwhile interference of non-correlation signals is restrained. In addition, efficient data processing and real-time waviness feature extraction are realized by designing a rapid analysis process and an automatic parameter adjustment mechanism. The method is suitable for gear quality detection in a batch production environment, and provides a reliable basis for defect diagnosis and optimization in a gear manufacturing process. Compared with a traditional detection method, the method has remarkable advantages in the aspects of detection precision, stability and speed.

The invention discloses a key phase pulse signal synchronous acquisition and multi-axis centering analysis method, which belongs to the technical field of mechanical monitoring and diagnosis, and comprises the following steps of: configuring a synchronous acquisition system, acquiring a conditioned key phase pulse signal and a conditioned vibration signal, and extracting an axis speed and a load; constructing a time drift monitoring model to compensate the key phase pulse signal in real time, and ensuring the time synchronization precision; the compensation signal is input into a shaft centering correction model based on dynamics and finite element analysis, and radial deviation and axial deviation under the dynamic load are calculated; establishing a nonlinear tolerance threshold model by adopting a nonlinear regression model, and dynamically adjusting an allowable centering deviation threshold in combination with the real-time shaft speed and the load; through closed-loop comparison of the shaft centering deviation and a threshold value, a centering qualified conclusion or a correction suggestion is automatically output, and triggering signal resampling is supported to adapt to working condition changes; the real-time and self-adaptive analysis of the centering deviation of the multi-axis system is realized, and the operation stability and the maintenance efficiency of the rotating machinery are improved.

The invention discloses an anomaly detection method and device for a tool changer tool changing speed reducer and a storage medium, and relates to the technical field of tool anomaly detection.The method comprises the steps that in the machining process of a machine tool, a high-frequency operation state parameter set of the tool changing speed reducer is monitored and obtained, and a coarse anomaly risk coefficient sequence is output; the operation state parameter set of the tool changing speed reducer is obtained through fixed-point monitoring according to the second collection frequency; if the coarse abnormal risk coefficient sequence meets a first preset early warning index, outputting a fine abnormal risk coefficient sequence; and if the fine abnormal risk coefficient sequence meets a second preset early warning index, abnormal early warning is carried out on the tool changing speed reducer. The technical problems that in the prior art, due to the fact that graded early warning cannot be achieved for abnormal state detection of the tool changing speed reducer, sensitivity is insufficient, and reliability is low are solved, and the technical effects that graded early warning for the abnormal state of the tool changing speed reducer is achieved, and detection sensitivity and reliability are improved are achieved.

The invention discloses a robot joint transparency testing method and device, and belongs to the technical field of robot joint testing. According to the method, the transmission transparency is evaluated by testing three indexes including the ratio of joint reverse drive torque to the maximum output torque, the torque control bandwidth and the correlation between motor current and output torque; the device comprises a driving mechanism, a loading mechanism and a test platform with a sliding assembly, the driving mechanism is connected with a joint input end through a coupling, and the loading mechanism is connected with an output end. According to the invention, a quantitative evaluation system of transmission transparency is established, a modular device capable of separably testing joint motor reverse drive torque (distinguishing charged / uncharged states) and speed reducer forward / reverse drive efficiency is designed, and accurate data support is provided for joint performance optimization.

The present invention discloses a load-bearing capacity detection device and detection method based on an automobile transmission shaft, comprising a connecting seat, wherein both ends of the upper side of the connecting seat are provided with a fixed frame, an automobile transmission shaft is placed on the upper ends of the two fixed frames, the tops of the two fixed frames are fixedly connected to a cylinder, the bottoms of the two cylinders are connected to a pressure frame, a hydraulic cylinder is provided at the top of the middle part of the connecting seat, and a pressure member is connected to the bottom of the hydraulic cylinder. The present invention relates to the technical field of load-bearing capacity detection of automobile transmission shafts. This load-bearing capacity detection device and detection method based on an automobile transmission shaft, when the automobile transmission shaft is deformed, the deformation part of the upper end of the automobile transmission shaft pushes the rotating frame to rotate, and the rotating end of the rotating frame drives the pointer to rotate. When the user closes the hydraulic cylinder, the pointer and the dial are observed through the rectangular lens to obtain the rotation angle of the deformed end of the automobile transmission shaft. During the deformation process of the upper end of the automobile transmission shaft, the splashing debris generated by the automobile transmission shaft is blocked by the rotating frame.

The invention provides an impeller high-temperature over-rotation test device. The impeller high-temperature over-rotation test device comprises a long shaft, an impeller, a press-fitting assembly, a buffer assembly and a fixing piece. The long shaft comprises a first shaft body and a second shaft body which are concentric and different in diameter, the impeller is sleeved on the first shaft body, and press-fitting parts are formed at two ends. The first press-fitting assembly and the second press-fitting assembly are pressed on the press-fitting parts on the two sides of the impeller correspondingly, relative rotation is prevented through the rectangular keys, the double press-fitting assemblies are symmetrically arranged to balance axial force, and rotation stability is improved. The left / right clamping sleeve is matched with the conical surface of the left / right taper sleeve, and a tensioning wire groove is formed to adapt to impellers of different sizes and compensate size changes. The buffering assemblies are arranged in a mirror symmetry mode, the horn mouth design optimizes stress distribution, long-axis thermal expansion is absorbed, and vibration impact is resisted. The fixing piece provides axial fixing force, and the axial rigidity of the system is optimized. The device can ensure the reliable positioning of the impeller at high temperature and ultrahigh speed, and improves the test precision and reliability.

A gearbox simulation test device disclosed by the present invention comprises a device seat and an adjusting device, an analysis assembly is installed on one side of the device seat, a driving assembly is horizontally erected on the rear side of the analysis assembly, and a movable table group is arranged on one side of the power output end of the driving assembly. The adjusting device is arranged on the side, away from the driving assembly, of the movable table set, and a fixed angle plate is arranged on the side edge of the device base. According to the gearbox simulation test device, the adjusting device and the movable table group are arranged, the adjusting device can simulate complex variable loads borne by a gearbox of a helicopter in different flight states, such as different load conditions during takeoff, cruising and landing, and the movable table group is used for installing and fixing the gearbox and meanwhile, can simulate the complex variable loads of the gearbox in different flight states. Structural self-adaption is achieved through cooperation with operation of the adjusting device, and the device base, the analysis assembly, the driving assembly, the movable table set and the adjusting device have structural disassembly and assembly performance so that structural maintenance and adjustment can be facilitated.

The invention provides a forage grass crushing degree detection system and method of a TMR mixer truck. The forage grass crushing degree detection method for the TMR mixer truck comprises the steps that a preset crushing degree scoring data interval is obtained and determined based on the type of the TMR mixer truck, the type of animals, the feeding stage of the animals and the feeding requirements of the animals; obtaining weight data of forage grass, torque data of a transmission shaft and rotating speed data of the transmission shaft in real time; preprocessing the collected forage grass weight data, torque data and rotating speed data; determining forage grass crushing degree scoring data based on the standardized forage grass weight data, the standardized torque data and the standardized rotating speed data; and determining the forage grass crushing degree based on the relationship between the forage grass crushing degree scoring data and the corresponding preset crushing degree scoring data interval. The forage grass crushing condition can be accurately and timely reflected, and a basis for judging forage grass crushing in real time is provided for an operator of the TMR mixer truck, so that the optimal crushing condition is achieved.

The embodiment of the invention provides a commercial vehicle transmission shaft maintenance monitoring method, device and equipment and a vehicle, and the method comprises the steps: monitoring the working temperature of an intermediate support of a commercial vehicle transmission shaft, and determining the working condition of the intermediate support of the transmission shaft; accumulating the duration of the transmission shaft intermediate support under various working conditions; determining the consumption life of the transmission shaft intermediate support according to the duration time under various working conditions and the corresponding life influence coefficient; determining the residual service life of the transmission shaft intermediate support according to the rated service life and the consumption service life of the transmission shaft intermediate support; and generating maintenance alarm information according to the residual service life of the transmission shaft intermediate support and a preset minimum reminding threshold value. By utilizing the method, the working state of the transmission shaft intermediate support can be monitored in real time, the residual life can be accurately calculated according to the actual working condition, the replacement reminding can be timely sent out, and the problems of unreasonable maintenance period and inaccurate state monitoring in the prior art are solved.

The invention discloses a detection method of a vehicle transmission system, electronic equipment and a storage medium. The method comprises the steps that in response to a detection instruction for a vehicle transmission system, torques in different directions are applied to a motor in the vehicle transmission system on the basis of preset torque parameters, resolver signal values of the motor in different directions are obtained, and the resolver signal values are used for representing electric signal values output by a rotation position sensor of the motor; the rotation position sensor is used for monitoring position information of a rotor of the motor relative to a stator. Determining a transmission system gap of the motor based on the rotary transformer signal values in different directions; and detecting the vehicle transmission system based on the transmission system clearance to obtain a detection result. The technical problem of low detection accuracy of the vehicle transmission system in the prior art is solved.

The invention discloses an anti-label noise urban rail train gearbox incremental fault diagnosis method, which comprises the following steps of: segmenting and standardizing collected gearbox fault data of an urban rail train bogie according to a preset length to obtain a fault sample; based on the fault sample, constructing a data set which can be used for class incremental learning; constructing a fault diagnosis model, and performing initial training on the fault diagnosis model by using the data set to obtain a fault diagnosis model after initial training; performing incremental training on the fault diagnosis model after the initial training to obtain a trained fault diagnosis model; and performing fault identification on a to-be-detected vibration signal by using the trained fault diagnosis model to obtain a diagnosis result of the gearbox. According to the method, disastrous forgetting and noise interference can be effectively handled, and the accuracy of fault diagnosis of the gearbox of the urban rail train is improved.

The invention belongs to the technical field of fault testing, and provides a speed reducer sensor layout optimization method, system and device and a storage medium, and the method comprises the steps: carrying out the local linear processing of fault features, and obtaining a reduced fault feature matrix; measuring the sensitivity of the measuring points based on the fault feature matrix; and judging whether the fault sensitivity degree of the measurement point meets a target or not based on the measurement point sensitivity measurement, if so, ending, otherwise, resetting the measurement point until the fault sensitivity degree of the measurement point meets the target. A plurality of measuring points are arranged on a speed reducer fault simulation experiment platform, then fault features of the measuring points are extracted, local linear embedding processing is carried out on the fault features to obtain a reduced three-dimensional vector, the convolutional neural network is used for carrying out index evaluation on the fault sensitivity degree of the measuring points, and the fault sensitivity degree of the speed reducer is evaluated. Therefore, the sensor layout is optimized based on the evaluation result, and the accuracy and efficiency of fault monitoring are improved.

The utility model discloses a torque detection device for a trapezoid lead screw, which comprises a workbench, a torque measuring head and lead screw fixing assemblies, the torque measuring head is movably connected with the workbench, and the lead screw fixing assemblies are movably arranged at the two ends of the workbench and are matched with the ends of the lead screw; relates to the technical field of lead screw torque detection. The fixed screw cylinder is fixedly connected with the mounting frame, the control screw cylinder is in threaded connection with the fixed screw cylinder, one end of the fixed seat is fixedly provided with the threaded chuck, one end of the control screw cylinder is fixedly connected with the control ring, the control ring is movably connected with the threaded chuck, and the control screw cylinder is in threaded connection with the threaded chuck. Therefore, after the end head of the trapezoidal lead screw is inserted into the threaded clamping head, the control screw barrel can be rotated and is in threaded connection with the threaded clamping head, so that the opening size of the threaded clamping head is controlled, the threaded clamping head is matched with the size of the end head of the lead screw, the end head of the lead screw is clamped, and the clamping effect is good.

The invention discloses a large-torque reduction gearbox testing method for an unmanned aerial vehicle, and relates to the technical field of unmanned aerial vehicle reduction gearbox testing, and the method comprises the steps: building a platform of an integrated load simulation, data collection and temperature control system, configuring and calibrating a torque sensor, a rotating speed sensor, a temperature sensor and a vibration sensor, and controlling the environment temperature to be 25 + / -2 DEG C; simulating test working conditions, and setting three working conditions of hovering, cruising and rapid acceleration / rapid deceleration; multiple parameters are synchronously acquired, a unified clock source is adopted for synchronous acquisition, noise reduction and smoothing are conducted through an algorithm, and the acquisition interval is dynamically adjusted according to the parameter change rate; indexes such as transmission efficiency, temperature rise and vibration acceleration are calculated; and constructing a fault feature database, comparing data in real time, and positioning a fault through spectral analysis. The test scene fitting degree and the data precision are improved, multi-dimensional performance comprehensive evaluation is achieved, the real-time fault diagnosis capability is achieved, the test level of the reduction gearbox is comprehensively improved, and the performance and reliability guarantee of the reduction gearbox is supported.

The application discloses an industrial hemp cutting and conveying test bed, which can simulate the cutting working condition of industrial hemp in a laboratory through the arrangement of a cutting and conveying mechanism, so that strength test, fatigue test and other tests of different batches of cutting and conveying mechanisms can be carried out, and it is guaranteed that the produced cutting and conveying mechanisms can meet the quality requirements; through the control of the control module on each driving component, i.e. each motor, the operator can adjust the running speed of each motor according to the needs, so that the feeding speed of the conveying chain, the cutting speed of the cutting assembly and the conveying speed of the transverse conveying assembly of the test bed can be adjusted when the test bed is working, and the cutting quality and efficiency of industrial hemp in the actual situation are simulated, on the one hand, the preferred running speed ratio of each component is provided, and the harvester can run according to the ratio during actual harvesting, and on the other hand, the cutting and conveying mechanism is tested by relying on the load of different speeds.

The invention discloses a steam turbine shafting stability risk assessment model, particularly relates to the technical field of assessment models, and comprises a data acquisition module, a data preprocessing and visualization module and a risk assessment module. The data acquisition module acquires operation data of the steam turbine in real time; the data preprocessing and visualization module is used for carrying out data preprocessing and visualization analysis on the collected original operation data; and the risk assessment module constructs an artificial neural network to carry out risk assessment on the vibration state of the turbine bearing. According to the method, the vibration response of the steam turbine bearing can be accurately fitted, and the vibration trend of the steam turbine bearing under different load and rotating speed combinations is subjected to visual analysis and partition identification, so that the fault risk caused by the vibration of the steam turbine bearing is reduced.

The invention discloses an online detection device for a rack rail wheel, relates to the technical field of rail transit vehicles, and aims to solve the problem that the meshing relation between the rack rail wheel and a rack cannot be actually detected. The gear tooth structures of the detection rack and the line rack are consistent in specification; the propelling device is arranged on one side of the detection rack and used for driving the detection rack to move in the direction perpendicular to the extending direction of the detection rack; the pressing device is arranged on the other side of the detection rack, and the pressing device is used for providing pre-tightening force enabling the detection rack to reset in the direction perpendicular to the extending direction of the detection rack; through the arrangement, the actual meshing center distance between the rack rail wheel and the rack can be directly detected.

The invention provides a return difference measuring method and device of a gear transmission mechanism in a motor driving system. According to the return difference measurement method, the return difference measurement value is indirectly determined by identifying the critical point that the gear transmission mechanism starts to respond to the driving signal, the critical point marks that the gear transmission mechanism completes the change from the idle stroke state to the effective transmission state, and the return difference measurement value is calculated based on the position data before the critical point. The return difference measurement value is a comprehensive index which contains the comprehensive influence of the gear backlash, the elastic deformation of the transmission shaft and the static friction force and reflects the overall transmission performance of the system, so that the return difference measurement value which reflects the overall transmission performance of the system and is real and comprehensive is obtained through measurement according to the technical scheme of the invention. According to the method, the transmission lag characteristic of the system under the actual working condition can be represented more accurately, and a more reliable data basis is provided for subsequent high-precision motion control.

A fault diagnosis method for a transmission chain based on joint entropy enhanced sparse learning using a zero sequence current includes the following steps: data acquisition and preprocessing; establishment of a rotating machinery fault diagnosis model for sparse feature learning of a zero sequence current; and obtaining of a diagnosis result by inputting the preprocessed zero sequence current data to the trained rotating machinery fault diagnosis model. The fault diagnosis method for a transmission chain based on joint entropy enhanced sparse learning using a zero sequence current can extract a weak fault feature in a current signal automatically and efficiently without relying on traditional signal processing techniques and diagnosis experience, and has good robustness for signals containing noise.

The invention discloses a transmission efficiency test bed for a nut main transmission lead screw pair. Based on a vertical structure, a test scheme of complete fixation of the lead screw and composite motion of rotation and axial movement of the nut is innovatively provided, the problem of motion limitation of a long nut structure in a nut main transmission lead screw pair is effectively solved through the design, and meanwhile the influence of additional bending moment generated by a cantilever structure in a traditional test on the measurement precision is eliminated; the accuracy and reliability of the transmission efficiency test of the nut main transmission lead screw pair are obviously improved, and the problem of measurement deviation caused by gravity deformation and additional bending moment in the traditional horizontal test of the long nut of the nut main transmission lead screw pair is solved.

The invention relates to the technical field of mechanical transmission part testing, and discloses a ball screw pair abrasion mechanism testing device which comprises a motor, the motor is fixedly connected to the left side of a mounting cover, the output end of the motor penetrates through the mounting cover and is fixedly connected with a rotating block, and a connecting rod is arranged on the right side of the rotating block. A second U-shaped block is arranged on the right side of the connecting rod, spring rings are fixedly connected to the left side and the right side of the outer portion of the connecting rod, and first telescopic blocks are rotationally connected to the peripheries of the outer portions of the spring rings. A motor is started to drive a rotating block and a connecting rod to rotate, then a second U-shaped block rotates, under pushing of a spring ring, a plurality of telescopic blocks move, rotation and stretching of the second telescopic blocks push a threaded plate to move, the position of the threaded plate is adjusted to adapt to left-right movement of ball screws of different specifications, and therefore the abrasion condition is detected. And to-be-detected ball screws of different specifications can be rapidly fixed.

The utility model relates to the technical field of machine manufacturing, and discloses a turnover transfer case test trolley which comprises a support and a working table, grips are fixedly installed on the left side and the right side of the upper portion of the support, cushion blocks are fixedly installed on the left side and the right side of the support, bearings are movably arranged on the cushion blocks respectively, and the bearings are fixedly installed on the working table. A hand-cranking speed reducer is fixedly installed on the left side of the support, a transmission shaft is installed at the output end of the hand-cranking speed reducer, the other end of the transmission shaft is connected with a bearing on the left side, a rotating shaft is movably installed at the other ends of the two bearings, and baffles are fixedly installed at the upper end and the lower end of the working table top. According to the turnover transfer case test trolley, under the action of the turnover structure and the driving structure, the test precision can be improved, test data errors caused by inconvenient operation are reduced, the test precision is improved, operation is convenient, the angle of the transfer case can be flexibly adjusted according to actual needs, and the turnover transfer case test trolley adapts to different test environments and operation requirements.

The invention relates to the technical field of delivery testing of hybrid transmission products, in particular to a delivery testing method, system and equipment for hybrid transmission products and a medium, and the method comprises the steps: connecting a hybrid transmission assembly to a test bench, building a communication protocol with a motor controller, and confirming that electrical connection is normal; after the clutch is disconnected, the rotating speed change is controlled to obtain a motor resolver zero position angle and measure the electric reverse electromotive force, so that motor characteristic calibration is realized; the method comprises the following steps: testing a hybrid transmission under different mode working conditions to obtain target data; comparing the target data with a preset threshold value to obtain a target comparison result; and determining whether the current product is qualified according to the target comparison result. The beneficial effects of the invention are that a plurality of problems of an existing test method for the integrated hybrid transmission are solved, a powerful guarantee is provided for high-quality production of core parts of a hybrid electric vehicle, after-sales risks and maintenance cost are reduced, and the market competitiveness of products is improved.