1109results about "Railway vehicle testing" patented technology

An abnormality-diagnosing device is used to diagnose if a bearing device used on the axle of a railway vehicle is normal. The abnormality-diagnosing device comprises a detection processing part, an operation processing part, a result output part and a control processing part, wherein, the detection processing part outputs the signal generated by the bearing device, which is regarded as an electric signal, the operation processing part conducts an abnormality diagnosis on the bearing device according to the output of the detection processing part, the result output part outputs the judgement result of the operation processing part, and according to the judgement result, the control processing part returns a control signal to the control system of the railway vehicle.

The invention discloses a test method for real object crash of vehicle components and a test device thereof. The test method comprises the following steps: the vehicle components are fixed on a carrying trolley which can move on a track, the speed of the trolley is increased to a test value by traction with a drive system before preparing for crash an impact wall; when the carrying trolley moves to a set position before the impact wall, a trigger device is started to detach the drive system from the carrying trolley, a test component and the carrying trolley are caused to crash the impact wall without drive power; a vehicle-borne acceleration test system is arranged on the carrying trolley so as to complete data acquisition in real time; and the trigger device triggers a speed test system, an impact force test system and a high-speed camera system at the same time. The test method of the real object crash of the vehicle components and the test device can help measure objective data in real time such as the impact force, a transient acceleration, component deformation and speed output at the moment of crash, and further can record deformation sequence images of the components during the whole crash course so as to get scientific and exact analysis results.

The invention discloses a locomotive fault diagnosis method and system. The method comprises the following steps: obtaining monitored data acquired when a sampling device monitors locomotive equipment; comparing the monitored data with an equipment variable state or a data threshold in the fault information of the locomotive equipment in a database; if the variable state of the monitored data is abnormal or a sampling value exceeds a fault data threshold, calling fault prompting information of the fault information of the locomotive equipment from the database and displaying the fault prompting information; storing the fault information and monitored data of the locomotive equipment in storage equipment of a locomotive control unit; and carrying out fault handling on the locomotive equipment according to the fault prompting information of the locomotive equipment. Therefore, by utilizing the locomotive fault diagnosis method and system provided by the invention, all equipment of the whole locomotive can be monitored, the fault handling is carried out on the locomotive equipment with faults, and the fault information is stored, therefore, a set of complete locomotive fault diagnosis method and system is established, so that the function for locomotive fault diagnosis is more perfected.

A system for automatic detection of defects in railroad wheels, a system that is stationary and is installed in extended intervals in the rails uses stationary acoustical/vibration sensors installed at intervals in the rails. Rail segments associated with the detectors are acoustically isolated. The sensors acquire the sounds and vibrations generated by the wheels rolling over the rails. Signal analyzers identify rail defects from intensity vs., frequency distributions of acoustical spectra. Such spectra reflect the condition of the wheels and change their intensity vs. frequency distributions when the wheels pass the sensors installed in the rails. The acquired information on the condition of the wheels is transmitted to a central location. Any defective wheel is identified and marked for repair or replacement.

The invention discloses a TFDS fault automatic recognition method. The method is formed by a two-stage cascaded convolution neural network model based on a deep learning theory: the first stage is a network model with multi-class fault region synchronous positioning, and with the combination of space mutual position relation constraint of multi-fault regions, synchronous and accurate positioning of the multi-fault target regions is realized; and the second stage is a fault determination network model, and determination of faults and non-faults for the regions located by the first stage is realized. According to the TFDS multi-class fault synchronous and automatic recognition method, the design of recognition methods for different faults is not needed, features are adaptively extracted through a learning training mode by the convolution neural network theory in deep learning, synchronous positioning and fault determination of multiple faults can be performed, and high effectiveness and high robustness are achieved.

The present invention provides a fault prediction and condition-based repair method of an urban rail train bogie. An optimum service life distribution model of a framework, a spring device, a connecting device, a wheel set and axle box, a driving mechanism, and a basic brake device of a bogie is determined by adopting a method based on survival analysis; a reliability characteristic function of each subsystem is obtained; then, a failure rate of each subsystem of the bogie is calculated by adopting a neural network model optimized by an evolutionary algorithm; and finally, proportional risk modelling is conducted by taking the failure rate and safe operation days of each subsystem of the bogie as concomitant variables; and on the basis of cost optimization, thresholds and control limits for condition-based repair of a bogie system are obtained.

An abnormality diagnosis system for diagnosing a presence or absence of an abnormality of a bearing unit for a railway vehicle axle, comprises a sensing/processing portion for outputting a signal generated from the bearing unit as an electric signal, a calculating/processing portion for making an abnormality diagnosis of the bearing unit based on an output of the sensing/processing portion, a result outputting portion for outputting a decision result of the calculating/processing portion, and a controlling/processing portion for feeding back a control signal to a control system of the railway vehicle based on the decision result.

A rail sensing and analysis system utilizes a laser sensor 105, 107 to detect displacement of a rail 102, 104 resulting from loads imposed by a passing rail vehicle. Vertical and/or lateral displacements/loads may be sensed. Signatures in the resulting signals are indicative of useful information about the rail vehicle; such as wheel condition, bearing condition, truck condition, degree of bogie hunting, total load, load distribution, etc. The ratio of Lateral over Vertical force (L/V) may be used as an evaluation criterion.

A rigidity detection system of four-column bogie of railway vehicles relates to railway vehicle performance detection equipment, which is designed for detecting the key kinetic parameters of bogie of railway vehicles under various motion states. The system comprises a mechanical system, a hydraulic system, a test system and a control system, wherein the mechanical system includes a gantry system (A) in frame structure composed of a crossbeam (1) and a vertical pillar (2), a five-degree-of-freedom force application system (F) composed of a simulated vehicle load pressure plate (5), a simulated vehicle load pressure column (4) and a simulated vehicle gravity center height adjusting mechanism (3), and a wheel pair positioning and clamping system (B) for clamping and positioning a rotation frame; the hydraulic system (E) includes a cylinder with vertical, longitudinal and transverse effects on the rotation frame; the test system includes a three-dimensional force detection system (G) and a rotation frame displacement detection system (C); and the control system is mainly composed of a hydraulic control system, an electric control system and a computer system.

A structural health monitoring system comprising intelligent sensors, wherein the intelligent sensors are individually programmable and can be tuned to listen to specific frequencies based on a scaling factor based on the sensor's location in the system being monitored, a set of pre-known frequencies based on the sensor's location in the system being monitored, and the output of a central frequency-based system sensor.

A system for monitoring railcar and tram consist operational parameters and detecting anomalies in the operation and condition thereof using sensors to feed data to a distributive complex event processing engine.

A method for optically examining a route such as a track includes obtaining one or more images of a segment of a track from a camera mounted to a rail vehicle while the rail vehicle is moving along the track and selecting a benchmark visual profile of the segment of the track. The benchmark visual profile represents a designated layout of the track. The method also can include comparing the one or more images of the segment of the track with the benchmark visual profile of the track and identifying one or more differences between the one or more images and the benchmark visual profile as a misaligned segment of the track.

The invention relates to an automatic dynamic testing method for waking up of a full-automatic driving train. The method comprises: S1, a driving end is selected according to a preset sequence; S2, a VOBC makes an application to a ground area controller ZC to carry out dynamic testing; S3, after authorization, the VOBC outputs a forward leap instruction to an AOM; the AOM transmits the forward leap instruction to a current train; and the train executes dynamic testing equipment and a leap instruction feedback command is sent to the VOBC by a TCMS; S4, the VOBC outputs traction information with a preset time length and a preset dimension to the train; and after the speed of the train reaches the zero speed, the VOBC outputs a leap completion mark; S5, the VOBC outputs a backward leap command; and S6, the forward leap result and the backward leap result are normal, dynamic testing of the driving end is done successfully and changing to a driving end at the other side is carried out and the steps from S2 to S6 are repeated. According to the invention, a problem of energy wasting or equipment wearing due to manual operation negligence can be solved, thereby realizing reliable working of a traction system and a brake system of a to-be-detected train.

This invention disclosed a testing plate used for car bogie. The base of the plate connects to the measuring platform via a fulcrum bearing; the fulcrum bearing can be described like this: a bearing plate was fixed to the base, a spacing ring was placed on the bearing plate, a steel ball holding frame was set in the spacing ring, steel ball was placed in the cavity of holding frame and the upper side of the ball was connected to the platform.

The invention relates to a parameter determining test bed for a gantry framework type rail vehicle bogie. The test bed mainly consists of a counter-force type gantry mechanical framework, a six-degree-of-freedom loading mechanism assembly, a bogie transfer bridge device and a bogie positioning and clamping mechanism assembly, wherein the counter-force type gantry mechanical framework provides counter-force support to a test bed loading mechanism and a positioning and clamping mechanism; the six-degree-of-freedom loading mechanism assembly is used for the vertical, lateral and longitudinal loading of the tested bogie; the bogie transfer bridge device is used for smoothly and flexibly transferring the tested bogie to a test bed loading platform; and the bogie positioning and clamping mechanism assembly is used for the vertical, longitudinal and lateral positioning and fixing of a second tested bogie frame. According to the test bed, the tests of parameters, such as the vertical, longitudinal and lateral rigidity of the first bogie and the second bogie, and the bogie torsion rigidity, can be realized, the rigidity coefficient and the flexibility coefficient of each part of the bogie can be automatically calculated by software, and the automation and the efficiency when the bogie parameter is measured are improved.

The invention relates to an image processing method and device and a train fault detection system. The method comprises the steps of collecting a plurality of images of each carriage of a train; sequentially using the images as current processing images to conduct abnormal detection process so as to confirm abnormal images and mark abnormal areas on the images; providing the abnormal images on which the abnormal areas are marked for train inspection station equipment. According to the method, each collected image is detected in a preset mode, only the abnormal images are provided for detecting staff, and the number of images needing watching by the detecting staff is reduced, so that the detecting workload of train inspection staff is reduced, working efficiency is improved, transmission data volume in a remote transmission process is reduced, and the consumption of transmission resources is reduced.

The invention relates to a method for detecting a fault of a train suspension system on the basis of a robust observer. The method comprises the following steps of: a, carrying out modeling on the train suspension system and designing the corresponding fault detection robust observer; b, utilizing an acceleration sensor and a gyroscope to respectively acquire acceleration signals and angular speed signals of a vehicle body and front and rear bogies when a train operates; c, carrying out treatment of anti-aliasing filtering, high-pass filtering, quadratic integration and the like on the acceleration signals and only carrying out anti-aliasing filtering and high-pass filtering on the angular speed signals to obtain a system output; d, utilizing the fault detection robust observer to carry out processing on the system output to obtain a residual output; e, according to a residual sequence, applying a MCUSUM (Multivariable Cumulative Sum) method to calculate a fault detection index; and f, by a fault diagnosis expert system, generating a fault alarm threshold value in real time and judging whether to give an alarm. According to the detection method, when the suspension system has a small fault, the fault can be detected in real time, the alarm is given and the possibility of false alarm and failure in report of a fault detection system can also be reduced.

The invention provides a bogie performance parameter combined test stand of a rail vehicle. The test stand comprises a mechanical analog detection device and a test signal transmitting and processing system; the mechanical analog detection device mainly comprises a frame, a shifting platform, a loading beam, a vertical loading actuator, a horizontal loading actuator, a wheel pair clamping actuator and a track; and the test signal transmitting and processing system contains an industrial control computer, a laser distance meter, a load sensor, a transmitting channel of the load sensor used for generating signals and a data processing software. By using the test stand of the invention, the simulation of the loading of the vehicle body corbel of the overall bogie of the rail vehicle,, the rotation of the bogie and the traverse movement of the wheel pair can be realized; the installed test signal transmitting and processing system can realize fast, accurate and comprehensive detections of various items and ensure the reliability of the dynamic performance parameters of the bogie; and the safety performance of the rail vehicle can be increased and the requirements of the related rules of the ministry of railway can be satisfied.

The invention relates to a multifunctional braking power testing platform which comprises the components of a base; a power and inertia chamber which is arranged on the base and comprises a power unit and a mechanical inertia unit; a first testing chamber which is arranged on the base and is mounted on one end of the power and inertial chamber; and a second testing chamber which is arranged on the base and is mounted on the other end of the power and inertia chamber, wherein a first braking device in the first testing chamber is different from a second braking device of the second testing chamber. The multifunctional braking power testing platform can be used for disc braking, tread braking, eddy current braking or magnetic rail braking tests of high-speed train and other rail vehicles, thereby reproducing a braking energy conversion process in a 1:1 manner and testing braking performance in real time.

The invention discloses a motor train unit running fault dynamic image detecting system and method. The motor train unit running fault dynamic image detecting method comprises the following steps of monitoring and acquiring incoming train information, processing the incoming train information, judging train passing conditions according to the incoming train information and acquiring train passing information; acquiring image information of passing motor train units when trains start to pass by according to the train passing conditions, identifying and processing the image information according to the train passing information, classifying the image information in an agreed means, storing the image information and uploading the image information to a database for fault analysis; and stopping information acquisition when train passing is finished. By means of the motor train unit running fault dynamic image detecting method and system, non-manual on-line fault detection can be performed on motor train units running at a high speed. The fault detection accuracy and efficiency can be further improved.

The invention relates to a device for detecting snaking motion instability of a high speed train bogie, which is used for monitoring on-line whether snaking motion instability of the bogie appears during the travel of a high speed train. The device provided by the invention comprises a main controller system and a sub-detection system. The main controller system mainly comprises a man-machine interaction module, a GPS (global position system) module, a data analysis record module and a field bus control module. The sub-detection system mainly comprises a sensor module, a data acquisition module, a data analysis module, a field bus control module and a data storage module. A main controller and the sub-detection system are subjected to data communication through a field bus. The sub-detection system monitors the transverse vibration state of the bogie in real time to judge whether the snaking motion instability appears and transmits instability information to the main controller through a field bus; and the main controller completes analysis of the instability information, combines with the GPS module and a clock module to correctly provide time and space synchronizing information at the moment of the occurrence of instability, then gives out a warning signal and stores the fault information.

The invention relates to equipment for dynamically detecting parameters of railway vehicles, in particular to a system for dynamically detecting stiffness parameters of closed-loop diagonal-bracing type vehicle bogies. The system consists of a mechanical system, a testing system and a control system, wherein the mechanical system comprises a body vertical thrust block assembly (II), a dynamic detection table (III) for the stiffness parameters of the closed-loop diagonal-bracing type vehicle bogies, and a hoisting-type upper beam pillar (V); the dynamic detection table (III) for the stiffness parameters of the closed-loop diagonal-bracing type vehicle bogies mainly comprises a closed-loop diagonal-bracing type vertical loading gantry (A), a plane loading platform (B), an adjustable-gauge bridge approach device (C), a bogie longitudinal anti-thrust assembly (D) and a simulation corbel (F); the testing system comprises a displacement detection system (G) and a six-dimensional force sensor (c); and the control system mainly comprises a hydraulic control system, an electrical control system and a computer system. The system can perform dynamic test on the stiffness parameters of the bogies in an entire-vehicle state and an independent state.

The invention discloses a method for detecting a locomotive bearing fault. For a practical condition of the locomotive, the method disclosed by the invention adopts a combination of a temperature detection method and a vibration detection method to perform detection on a bearing fault of the locomotive. When the temperature detection is employed to detect the locomotive bearing fault, a temperature trend analysis method and an advanced interference processing method of catching an early warning and protecting alarm. When the vibration method is adopted to detect the locomotive bearing fault, the combination of the simple diagnosis and the precise diagnosis and the combination of the vibration detection and shock pulse detection are adopted. As a result, the invention can perform early alarm on the axle fault of the locomotive, can promptly process the axles having an early stage fault, and prevent the unsafe accident from happening.

The invention discloses a reliability test platform for a frame and a traction transmission system of a bogie of a bullet train. The platform comprises a mechanical assembly part, a test platform base and a hydraulic pump station, wherein the test platform base consists of a concrete base of a rectangular pit, and a No.1 counterforce seat base platform, a No.2 counterforce seat base platform, a large-range adjustable platform, a base pit platform, a driving device base platform and a No.3 counterforce seat base platform which are poured in the concrete base and are positioned in the same horizontal plane; the mechanism assembly part comprises loading devices, an excitation system assembly and a semi-vehicle quality simulation device; the loading devices are fixed on the driving device base platform and the large-range adjustable platform; the excitation system assembly is provided with four vertical actuators and two horizontal excitation assemblies; the bottom ends of the four vertical actuators are fixedly connected with the base pit platform; one end of one horizontal excitation assembly and one end of the other horizontal excitation assembly are fixedly connected with the large-range adjustable platform and the No.3 counterforce seat base platform; and the bottom end of the semi-vehicle quality simulation device is fixed on the test platform base.

The invention discloses a train running fault diagnosis device based on multi-source information fusion, and a method. The train running fault diagnosis device based on multi-source information fusion comprises a trackside fault early warning apparatus and a vehicle on-board fault diagnosis apparatus. The trackside fault early warning apparatus comprises a trackside vibration sensor disposed at one side of the track, and a temperature sensor. The vehicle on-board fault diagnosis apparatus comprises an axle box vibration sensor and a framework vibration sensor. The diagnosis comprises the steps of firstly adopting the singular value decomposition and de-noising technology to conduct noise-reducing process on various signals; secondly adopting HHT to extract fault characteristic constant from various vibration signals; thirdly adopting SVM and a threshold determining method to conduct train running local fault diagnosis; finally adopting improved D-S evidence theory to conduct decision fusion on the local fault diagnosis result, and realizing accurate diagnosis of running fault. The train running fault diagnosis device based on multi-source information fusion, and a method are advantageous in that the cost is low, precision is high, and device is simple; the problem of a single sensor that diagnosis may be not accurate can be resolved; the accurate diagnosis of the train running fault can be completed.

The invention discloses a maglev bogie fatigue test loading device, which comprises a testing platform base, a support base, an air spring support, a loading power part used for loading a bogie according to a requirement, and a load transfer device arranged between the loading power part and the bogie, wherein the testing platform base is fixed on the ground; the support base is fixed on the testing platform base; the lower end of the air spring support is pivoted with the support base through a pin roll; the extension direction of the axis of the pin roll is parallel to the front-back direction of the bogie; the upper end of the air spring support is connected with an air spring connecting seat of the bogie; and a horizontal pull rod connecting seat is arranged on the side of the supportbase, and is connected with a side-rolling resistant beam of the bogie through a horizontal pull rod. The maglev bogie fatigue test loading device can well simulate the fatigue load on the bogie, andaccurately test the fatigue property of the bogie.

The invention discloses a system and a method for carrying out on-line monitoring on a railway wheel-rail contact relationship on the basis of structured light. The system comprises a left detector, a right detector and a processing system. Both left and right detectors respectively comprise two linear lasers and one industrial camera. Linear laser emitted by one linear lasers is irradiated onto the surfaces of steel rails and steel rail section contour lines are formed on the surfaces of the steel rails; linear laser emitted by the other linear lasers is irradiated onto the lateral surfaces of wheels and wheel section contour lines are formed on the surfaces of the wheels; and an image of a steel rail and wheel monitoring region comprising the contour lines are directly acquired by the industrial cameras, the image is transmitted to the processing system behind the industrial cameras to be processed, the image is processed, identified, judged, stored and output, and finally, required contact geometrical parameters are obtained. According to the invention, spatial positions of the steel rails and the wheels are synchronously acquired by adopting a structural light method so as to accurately acquire the wheel-rail contact geometrical parameters, thereby acquiring the actual condition of the wheel-rail contact relationship.

The invention discloses a system for testing a dynamic model of a high-speed train. The testing system comprises a train dynamic model unit and an air gun drive unit; the train dynamic model unit comprises a train model and a guide rail; the train model can slide along the guide rail under the drive of the air gun drive unit; the air gun drive unit comprises a high-pressure gas generation device, a gun barrel and a moving part; the moving part is arranged inside the gun barrel; and the high-pressure gas generation device is connected with the rear end of the gun barrel directly or by a pipeline, drives the moving part to move through the input of high-pressure gas to the gun barrel and moves with the train model outside of the gun barrel together by the moving part. The testing system can carry out air dynamics research of the tunnel and can be also made into a bidirectional testing device for convergence of the high-speed trains and other air dynamics research.

The invention discloses a transmission system gearbox reliability test bed of a high-speed multiple unit. The transmission system gearbox reliability test bed of the high-speed multiple unit comprises an L-shaped bearer platform power flexible driving torque tester, a rectangular bearer platform power flexible driving torque detection tester, a trial gearbox assembly tester and a three-DOF (degree of freedom) vibration simulation test device, wherein the trial gearbox assembly tester and the three-DOF (degree of freedom) vibration simulation test device are mounted in parallel on the foundation, and a trial gearbox in the trial gearbox assembly tester is connected with a tested gearbox in the three-DOF (degree of freedom)vibration simulation test device through a synchronous universal joint coupling of a ball cage type. The L-shaped bearer platform power flexible driving torque tester is connected with the trial gearbox assembly tester trough a cross axial universal coupling, and the rectangular bearer platform power flexible driving torque detection tester is connected with the three-DOF (degree of freedom) vibration simulation test device through the cross axial universal coupling.

The invention discloses an intelligent train traction fault big data abnormality detection and recognition method. The method includes: collecting working signals of traction equipment of an intelligent train in real time; sampling the working signals to acquire a sampling dataset; using an isolated forest abnormal value quick detector to quickly detect the sampling dataset, and acquiring remarkable abnormal point in the working signals; building a Hampel sliding window identifier filter according to the remarkable abnormal point, and processing the sampling dataset to acquire a sampling dataset after being processed; acquiring a training sample set, and training a classifier based on a slack supporting vector machine by taking processed sampling data of a training sample as input and corresponding fault type as output; using a traction fault diagnosis classifier acquired by training to diagnose the sampling dataset after being processed and acquired in the step 3, and detecting faulttype of tiny and suspicious fault in the working signal S. By the method, fault detection efficiency and diagnosis accuracy of the train traction equipment are improved.