2678results 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.

A comprehensive testing method and testboard of train monitor device. The method is a comprehensive testing system based on computer integrated control. It adopts multi-communication mode to complete data exchange. On one hand, according to the vehicle condition simulated by comprehensive testbord, various high precision actuating signal are generated for normal working of control device, including analog, digital and communication signal. On the other hand, test various output signal of monitor device. Finally, test device by combining function relationship, board and channel grade of tested device. Three objects are communicated by computer directly, including programmed power, testboard host machine and card testing adapter. Communication from computer to programmed power and card testing adapter adopts RS232 mode, to testboard host machine adopts USB1.0 mode. Main control panel and communication management penal in testboard host machine adopts two-gate RAM to change data.

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 solution for further automating the identification, processing, and / or routing of rail vehicles is provided. Each individual rail vehicle in a series of rail vehicles is identified and measurement data is acquired for the rail vehicle. The measurement data is analyzed and the rail vehicle is automatically routed based on the analysis. The rail vehicle can be routed to an outbound track based on a destination, to a maintenance shop for repair, and / or to a local track for repair and / or re-measurement. The solution can further incorporate expert systems and data mining to reduce the number of rail vehicles that are unnecessarily routed for repair and / or inadvertently allowed to pass with one or more unsafe conditions.

A remote, non-contact system for detecting a defect in a railroad wheel as the wheel is stationary or moving along a railroad track includes; (1) a pulsed, laser light source for generating an ultrasonic wave in the wheel, the ultrasonic wave having a direct portion and reflected and transmitted portions if the direct portion encounters a defect in the wheel, (2) an optical component in the path of the light from the light source for forming the light into a specified illumination pattern so that the generated ultrasonic wave has a specified wavefront, (3) an air-coupled transducer or a group of transducers for sensing the acoustic signal emanating from the wheel that results from the ultrasonic wave traveling through the wheel, and (4) a signal processor, responsive to the sensed acoustic signal, capable of distinguishing whether the sensed signal has a component that indicates the existence of a reflected portion in the ultrasonic wave, wherein the presence of such a component in the acoustic signal indicates the existence of a defect in the railroad wheel.

The invention relates to a high-speed train running gear fault diagnosis and remote monitoring system based on Internet of Things (IOT). The system provided by the invention comprises vehicle-mounted sensors, a signal conditioning and filtering device, a central processing system, a data input and output interface device, a vehicle depot information collection system, a nationwide train maintenance system and a man-machine interaction device. With the arrangement of a plurality of the vehicle-mounted sensors, accurate fault identification and positioning of key equipment of running gears are realized, prediction of faults is realized, train operational risks are reduced, remote diagnosis of faults is achieved, fault diagnosis cost is lowered, and fault diagnosis cycle is shortened.

The invention discloses a rail transit vehicle equipment universal detection and fault diagnosis method and a system thereof. The method comprises the following steps: signals acquired through a data acquisition module are input to a fault diagnosis module to obtain a fault diagnosis conclusion; an expert system rule base is arranged in the fault diagnosis module; and a plurality of rules relevant to faults are stored in the expert system rule base; the expert system rule base adopts fault trees to represent the interrelationship of the various rules; a fault diagnosis process is served as a data matching process based on importance degree; the acquired data and the rules in the expert system rule base are matched from the highest importance degree to the lowest importance degree; if the matching is successful, a matching result is output and a fault conclusion is given out; and no fault occurs if the matching is not successful after the whole rule base is browsed. The rail transit vehicle equipment universal detection and fault diagnosis method and the system have good universality and are quick in fault diagnosis.

The invention relates to detection equipment of a kinetic parameter of a railway car, in particular to an integrated dynamic testboard of a parameter of a bogie of a railway car, which comprises a multi-freedom degree dynamic loading platform (A) and a lift type loading gantry (B), wherein the multi-freedom degree dynamic loading platform (A) mainly comprises a combined type cast steel reference platform (a), a peripheral hydraulic unit (b), a truss longitudinal limit device (c) and a multi-freedom degree sliding table loading device (d); the lift type loading gantry (B) mainly comprises a lift type gantry side beam assembly (e), a lift type gantry cross beam (f), a vertical loading assembly (g) and a lift type gantry sill beam (h). The testboard can carry out dynamic test on the rigidity parameter of a bogie under two states of carload completion and independence by regulating the truss longitudinal limit device (c), the lift type gantry cross beam (f) and the vertical loading assembly (g) without disassembly, and thereby, the goal of integrated multi-function test is achieved.

The invention provides a handheld electronic gauge that is configured to obtain measurement data for an object, such as a wheel, rail, axle, or the like. The gauge includes one or more position sensors that automatically determine when the gauge is in a measurement position. The invention also provides a handheld computing device that can automatically determine when a gauge is in the measurement position and automatically obtain measurement data using the gauge. As a result, the invention provides a solution for measuring an object, such as a railway wheel, that is portable and capable of repeatedly providing various desired measurements, irrespective of the operator.

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 system and method for vehicle-centric infrastructure monitoring system includes an inspection system mountable on a vehicle configured to travel over an expanse of rail track having a plurality of track blocks. The inspection system acquires track data for at least some track blocks along the expanse of rail track. The monitoring system also includes a positioning system to determine a location of the vehicle and generate location data indicative of an associated track block location, a communications device to transmit the track / location data to a remote location, and a centralized computing system positioned at the remote location to receive the transmitted track / location data. The centralized computing system is programmed to determine a current probability of a track condition for a track block and combine the current track condition probability with a previously determined cumulative track condition probability to provide an updated track condition probability for the track block.

The invention provides a vehicle end relation comprehensive test stand applicable for an interference test, a function test and a research test of a vehicle end relation component based on a six-degree-of-freedom parallel mechanism. A front counter-force base is fixed to a foundation, and connected with six sets of hydraulic execution mechanisms through three groups of low hinging supports; the front ends of the hydraulic execution mechanisms are connected with a motion platform through three groups of upper hinging supports; the motion platform is connected with an air spring through a bracket; the other end of the motion platform is connected with a front end transitional plate through a connecting frame; and a six-dimensional force / torque sensor is arranged on the motion platform. By adopting a modularized flexible design, the test on all members on the vehicle end of a railway carriage can be performed by adjusting the combinations of different members or a single member on the vehicle end, states of a train which runs through a straight line or a curve can be simulated, and a mutual interference relation of the members on the vehicle end can be checked; and the function test and the research test can be performed. The vehicle end relation comprehensive test stand is applicable for a motion simulation test and a force loading test of other large structural members.

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.

The invention discloses a rail vehicle vehicle terminal relation integration testing stand, comprising a six freedom degree motion platform assembly, a truss vehicle end wall assembly, a simulation vehicle frame and fixed platform assembly and a test assembly. The simulation vehicle frame and fixed platform assembly is provided at the right side of the six freedom degree motion platform assembly, the fixed platform in the simulation vehicle frame and fixed platform assembly and the motion platform of the six freedom degree motion platform assembly share a plane along the symmetric plane of the X shaft direction, and the upper working face of the simulation vehicle frame in the simulation vehicle frame and fixed platform assembly is on the same horizontal plane with the upper working face of the motion platform. The motion terminal truss vehicle end wall assembly of the truss vehicle end wall assembly is fixedly connected to the motion platform and the fixed terminal truss vehicle end wall assembly is fixedly connected to the upper working face of the simulation vehicle frame. The test assembly is located between the simulation vehicle frame and fixed platform assembly and the six freedom degree motion platform assembly and the symmetric plane of the test assembly along the X shaft direction share a same plane with the symmetric plane of the truss vehicle end wall assembly along the X shaft direction.

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.

In order to improve the safety with which commodities (including regulated hazardous materials) can be shipped by rail around the country in tank cars and the like, each tank and associated undercarriage and structure is inspected and requalified according to an exhaustive predetermined list of sites, tests, parameters and apparatus comprising, broadly, determining which type of vehicle is under inspection and selecting an exhaustive list of sites to be inspected for the identified type of vehicle from an instruction set. Each of the listed sites is inspected in accord with the instructions set forth for each of the listed sites in the instruction set and the data derived from implementation of the tests conducted at each of the exhaustive list of sites is recorded.

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 relates to a testing method and system for a train aerodynamic performance simulation testing device, which is used for testing various performance parameters of high-speed running train model in simulation test. The testing method comprises: arranging a train-carried data collection system in the train model, which is used for dynamic pressure tests of each testing point of the train model and tests of speed of the train model; arranging a ground data collection system on ground of the track, which is used for testing ground dynamic pressure and environmental parameters when the train model passes by the ground testing points. The invention is capable of real-timely recording dynamic change process of the train and ground air pressure, and accurately testing speed of the train model, thereby realizing tests of various test parameters such as dynamic pressure, speed, and the like, required for the simulation test, and obtaining test data of real-time and accurate train and ground dynamic pressure change data.