2014results about "Machine gearing/transmission testing" patented technology

A vibrational analysis system diagnosis the health of a mechanical system by reference to vibration signature data from multiple domains. Features are extracted from signature data by reference to pointer locations. The features provide an indication of signature deviation from a baseline signature in the observed domain. Several features applicable to a desired fault are aggregated to provide an indication of the likelihood that the fault has manifested in the observed mechanical system. The system may also be used for trend analysis of the health of the mechanical system.

A condition of impaired speed and torque control of a parallel electrically variable transmission due to factors beyond nominal modeling and estimation errors is diagnosed under low speed operation. The transmission includes at least one electric machine and a motor torque controller for regulating the transmission input speed and output torque. The motor torque controller includes an open-loop control path based on predetermined torques and accelerations and a closed loop control path based on input speed error. The presence of a larger than expected closed-loop correction magnitude, combined with low output speed and one or more other conditions is used to diagnose a condition of potential torque error, in which case the transmission control is altered to prevent unwanted operation.

A method for detecting an anomaly, such as a crack, in a rotor includes measuring the rotational speed and vibration of the rotor. A vibration signal synchronous with the frequency of rotation is filtered from the vibration measurement. A background vibration vector is then subtracted from the synchronous vibration signal to produce a vibration difference signal. The phase and amplitude of the vibration difference signal are measured and evaluated to determine whether an anomaly has developed. An apparatus for performing this method includes vibration and speed sensors coupled to a filter for extracting a signal from the vibration measurement having a frequency synchronous with the rotation of the rotor. A processor is coupled to the filter and the speed sensor and is programmed to perform the processing steps, described above.

The invention relates to an extraction method for early failure sensitive characteristics based on ensemble empirical mode decomposition (EEMD) and wavelet packet transform. The extraction method for the early failure sensitive characteristics based on the EEMD and the wavelet packet transform includes the following steps: (1), collected original vibration signals of mechanical and electrical equipment are decomposed according to the EEMD, white noise is added, and intrinsic mode function (IMF) components are obtained through decomposition; (2), the sensitive IMF components closely related to failure are chosen, and other irrelative IMF components are ignored; (3), the sensitive IMF components chosen through step (2) are decomposed in an orthogonal wavelet packet mode, and a wavelet coefficient of each node is obtained; and (4), envelopes are extracted from the obtained wavelet packet coefficients by adoption of the Hilbert transform and the Fourier transform, power spectrums are calculated, the power spectrum corresponding to each wavelet packet coefficient is obtained and serves as the early failure sensitive characteristic , and the sensitive characteristics are automatically obtained. Self-adapting signals can be decomposed, the sensitive characteristics can be convenient to obtain automatically, diagnosis precision and speed are improved, and a mechanical and electrical system can be diagnosed quickly, accurately and stably. The extraction method for the early failure sensitive characteristics based on the EEMD and the wavelet packet transform can be applied to the field of mechanical and electrical equipment failure diagnosis.

A system for monitoring mechanical waves from a machine which in operation has moving particulate matter therein, the system including at least one sensor located on the machine at a location away from the central axis of the machine, the sensors being for sensing acoustic waves and including a transmitter for transmitting signals representing the sensed mechanical waves to a receiver at a location remote from the sensor(s), a data processor connected to the receiver for receiving signals from the receiver which signals represent the mechanical waves and processing the signals to produce output signals for display on a display means, wherein the output signals for display represent one or more parameters indicative of mechanical waves emitted from the machine over a predetermined period of time.

The invention discloses a water lubricated bearing and transmission system comprehensive performance testing platform, which comprises a water lubricated bearing, a dynamic seal device, an elastic coupling, a gearbox, a water circulating system, a driving motor, an intermediate bearing, a bearing block, a loading and testing device and other parts. The loading device loads a test shaft in the circumferential direction, axial direction and radial direction so as to simulate complicated working conditions of the water lubricated bearing and the transmission system thereof; the testing system can detect various parameters of the water lubricated bearing, such as working speed, torque, temperature, frictional characteristics, water film pressure distribution, interface deformation distribution, shaft centerline orbit, noise and dynamic characteristics, and comprehensive performance of the dynamic seal, the elastic coupling and the transmission system on line; and the testing platform can be applied to research of scientific problems such as the loading bearing of a water lubricated friction pair, failure mechanism and evolution law, tribological performance and dynamic service behaviors, and provides a key scientific and technological basis for developing a pollution-free, low-noise, high-reliability, long-life, high-efficiency and energy-saving water lubricated bearing and a transmission system thereof.

An apparatus and a method for detection of wear particles in a lubricant are disclosed. The apparatus includes a microfluidic device including a microchannel sized for a lubricant containing wear particles to pass therethrough and first and second electrodes extending into the microchannel. A detection system is coupled with the electrodes for detection of wear particles passing through the microchannel, based on a change in capacitance of the electrodes.

The invention discloses a wind-power gear box fault diagnosis method based on wavelet medium-soft threshold and electronic-magnetic diaphragm (EMD), which includes: A. measuring a wind-power gear box by utilizing an acceleration sensor to obtain vibration accelerator signals; B. performing wavelet analysis on the signals, performing de-noising preprocessing through a wavelet medium-soft threshold method to eliminate interfering noise and obtain de-noising signals; C. performing EMD analysis on the de-noising signals to obtain each intrinsic mode function (IMF) component; D. judging true and false of the IMF components according to the related coefficients between the IMF components and original signals, rejecting false IMF components, and analyzing true IMF components to obtain components containing fault characteristics; and E. obtaining envelope spectrums containing fault characteristic components to draw fault characteristics. The wind-power gear box fault diagnosis method combines wavelet medium-soft threshold de-noising and the EMD and is effective in fault characteristic information drawing.

A testing apparatus for use with a data storage component that includes a base platform and a retaining element coupled to the base platform. The retaining element is sized and configured to retain the data storage component. The retaining element is linearly movable relative to the base platform during a linear acceleration mode without substantial rotational movement. The retaining element is rotationally movable relative to the base platform without substantial linear movement during a rotational acceleration mode. The testing apparatus further includes an actuator disposable in mechanical communication with the retaining element for moving the retaining element relative to the base platform.

A method for predicting a blade structure failure within a coupled blade structure including a plurality of blades supported for rotation on a rotor and a shroud structure coupling the blades. The method includes the steps of determining displacements of a plurality of predetermined circumferential locations on the shroud structure during rotation of the blade row, where the displacements are provided as a function of time relative to the periodic rotation of the shroud structure for time intervals that are integer multiples of rotor rotation. A signal characteristic related to vibrational mode and a nodal diameter of the shroud structure is derived based on the displacements of the circumferential locations on the shroud structure.

The invention relates to an intelligent gearbox fault diagnosis method based on mixed inference and neural network, mainly comprising the following steps: enriching a knowledge base of an intelligent diagnosis system; storing expert knowledge into a computer; combining the neural network to recognize patterns; analyzing a main abnormal phenomenon of a gearbox; systematically researching generation mechanisms of vibration and noise of a gear; analyzing a mathematical model of gear vibration; analyzing the vibration mechanisms of various fault types by fully using on-site fault data; enriching time domain and frequency domain characteristics of various faults; and ensuring a characteristic extraction method of gear fault signals. A data analysis method mainly comprises the steps: band-pass filter frequency analysis, double-meaning analysis, envelope demodulation analysis and demodulation analysis based on EMD. The intelligent gearbox fault diagnosis method based on mixed inference and neural network solves the problems of the traditional serial information processing in the fields of pattern recognition, artificial intelligence, and the like so that a pattern recognition network is completely realized by the computer; and the intelligent gearbox fault diagnosis method based on mixed inference and neural network is convenient to realize the automation and the intelligence of the fault diagnosis and can provide a basis for a diagnosis decision in time.

The claimed invention provides a blade vibration measuring system comprising a blade, a transmitter, a target with non parallel edges located on the blade shroud and a receiver. The present invention also provides a blade adapted for measuring blade vibration. Furthermore, the claimed invention provides a method for monitoring blade vibration.

The invention provides a wind turbine set gearbox remote online state monitoring and life assessment method. The method comprises the following steps: (1) a remote center computer collects a real-time operation parameter, temperature data and vibration data of each wind turbine through SCADA; (2) through analyzing the characteristic values of signal time domain and frequency domain, whether a vibration sensor has a fault or not is diagnosed; (3) the data is subjected to normalization process, a difference between data is reduced, and the diagnosis precision is raised; (4) when the fault of a wind generator set gearbox is diagnosed, different filtering modes are employed for different algorithms to extract the corresponding characteristic; (5) the collected data is subjected to characteristic extraction; (6) the fault diagnosis is carried out to provide the fact that whether the fault exists or not and the degree of the fault; (7) the residual life of the failed gearbox is estimated through a gray theory model, and an autoregression model is established for the residual error of the predication result to raise the predication precision. According to the method, the real-time estimation of the residual life is realized, and a basis is provided for the planned maintenance of the wind turbine set.

The present invention provides a high accuracy, inexpensive diagnosis method and system diagnosing an abnormality of a 10 rpm or less very low speed roller bearing using an acoustic signal, that is, detects an acoustic signal emitted from a roller bearing of a 10 rpm or less ultralow speed rotating machine using a sensor having a sound pickup performance of 10 kHz or less, uses frequency analysis to find the spectrum distribution, processes this to obtain the frequency analysis waveform, compares the spectral average value or effective value of a frequency of the natural frequency of the bearing or more of this with a reference value, and judges that the bearing is abnormal when this spectral average value or effective value exceeds the reference value.

The invention discloses a comprehensive performance resting experiment table for a precision speed reduction device. The comprehensive performance resting experiment table comprises main components, such as a servo motor, an input end torque and rotational speed sensor, a high precision encoder, a measured speed reducer, a vibration noise and temperature sensor, an output torque and rotational speed sensor, a magnetic powder brake, and auxiliary components for connecting and fixing, such as a base, a horizontal sliding table, a coupling and a speed reducing mounting base; the comprehensive performance resting experiment table adopts the mode that the magnetic powder brake provides input end load, the input end of the servo motor is loaded, and angle, rotate speed, temperature, vibration and noise testing devices are added in the middle, so as to test the comprehensive performances of the precision speed reduction device. The comprehensive performance resting experiment table can accomplish testing of performances, such as transmission efficiency, torsional rigidity, vibration, noise and temperature rise, on one experiment table, and can test the comprehensive performances of different models of precision speed reduction devices. The comprehensive performance resting experiment table has the advantages of simple structure, high testing precision and high automation degree, and can meet the testing and detection requirements on the comprehensive performances of the precision speed reduction device.

An arrangement for monitoring the wear status of a friction clutch in the drivetrain of a motor vehicle driven by an internal combustion engine includes a wear detection circuit that responds to speed information representing the instantaneous input speed of the friction clutch supplied by a first speed sensor and to information supplied by a movement sensor representing the beginning of a starting process. The wear detection circuit supplies, as a measurement for the loading of the friction clutch during a starting process, load information which is a predetermined monotonic function of a value of the first speed information following the beginning of movement after a predetermined time interval. The monotonic function could also be of a mean value from a plurality of values of the first speed information succeeding one another at predetermined time intervals following the beginning of movement.

A phased array ultrasonic testing system is for examining turbine disc bores and blade attachments for discontinuities, such as stress corrosion cracking. The system is particularly suited to perform an accurate and efficient inspection of components despite their having a relatively complex geometry, such as axial entry blade attachments and bores of associated discs. The system includes a control system with a computer and a controller for programming, emitting, and steering an ultrasonic beam via at least one two-dimensional phased array probe, thereby precisely inspecting the area of interest while simultaneously accommodating the aforementioned complex geometry of the disc or blade attachment. Computer control of the beam permits the number of inspection locations and the number of different probe wedges to be reduced providing for an efficient, timely inspection. Methods of profiling and examining turbine components of known and unknown geometries, are also disclosed.

The invention discloses a method for extracting weak fault characteristic information of a planetary gear based on improved ensemble average empirical mode decomposition and adaptive stochastic resonance. The method comprises vibration signal acquisition, fault characteristic information effective IMF extraction and weak fault characteristic extraction based on adaptive stochastic resonance. The method can extract the weak fault characteristic information generated due to faults of the planetary gear, and can realize planetary gear fault diagnosis according to the extracted weak fault characteristic information; and the method is an effective planetary gear weak fault characteristic information extraction method.

Methods and systems are provided for monitoring cylinder valve deactivation of a cylinder valve of an engine. One example method comprises, indicating degradation of cylinder valve deactivation in response to manifold pressure at or around a characteristic frequency.

The invention discloses a test-bed for testing the performances and durability of a shift control mechanism assembly of a vehicle which includes a test-bed body; in the test-bed body, an adjustable mounting adjusting framework with six directions is fixedly arranged at the front end; the shift control mechanism assembly of the vehicle is arranged in the mounting adjusting framework; the output end of the shift control mechanism assembly of the vehicle is connected with a gearbox by selecting and exchanging gearshift lines; the control frame of a PLC control system is arranged on a side wall at the back part in the test-bed body; an air cylinder loading system and a load system are arranged above the test-bed body. The assembly of the test-bed has the following advantages of: 1, being capable of simulating the actual operating condition of the shift control mechanism assembly of the vehicle; 2, being capable of simulating the gear shift and selecting motions on the shift control mechanism assembly of the vehicle; 3, dividing the test-bed controlled by the system into a 'manual' operating mode and an 'automatic' operating mode which can freely and mutually switch; 4, having the function of alarming when the time for gear shift is excessive.

The invention relates to a dynamic load simulating device and a dynamic load simulating method for an automobile power system test, and belongs to the technical field of vehicle power system tests. The dynamic load simulating device comprises a control computer, a dynamometer controller, a frequency converter, an alternating current (AC) power dynamometer and a torque flange with a controller. A virtual automobile model-based control algorithm is adopted, a virtual automobile model is driven by an actual measurement torque, and the simulation of the rolling resistance, wind resistance and the inertia resistance of a vehicle is realized under the conditions of not calculating angular acceleration of the dynamometer. The dynamic load simulating device and the dynamic load simulating method have high stability and high simulation precision, are favorable for shortening the development cycle of an automobile power system and providing convenient test environment for the development of the power system. A process that the vehicle acceleration is acquired by differentiating the rotation speed of the automobile power system is avoided in the calculation process, and a phenomenon that accurate differential values are difficult to acquire due to relatively large noise caused by the process of differentiating the rotation speed is prevented.

The invention relates to a test method of automobile transmission system efficiency, which comprises the following steps: a variable frequency and variable speed motor is connected with an automobile transmission system through a revolution speed and torque sensor; two eddy current dynamometers are respectively connected with two half shafts of the automobile transmission system through the revolution speed and torque sensor; a speed variator of the automobile transmission system is positioned at a certain shift; the target rotation speed of the two half shafts under the rotation speed of a certain variable frequency and variable speed motor is determined according to the transmission ratio; the variable frequency and variable speed motor is started, the eddy current dynamometers load the two half shafts respectively so that the two half shafts can reach the target rotation speed, and then the product of the sum of the torque of the two half shafts and the rotation speed of the half shafts is the output power of the automobile transmission system; and the output power and the product of the torque and the rotation speed of the variable frequency and variable speed motor are compared to obtain the transmission efficiency of the automobile transmission system. The test method is simple, and has quick dynamic response and high testing precision.

The invention provides a gear fault diagnosis method based on improving multivariable predictive models. The method comprises the following steps: measuring the vibration signal of a fault object; extracting a fault characteristic value from the vibration signal, namely the instantaneous amplitude entropy of local characteristic scale decomposition; dividing the fault characteristic value into a training sample and a test sample; respectively carrying out training of multivariable predictive models based on a support vector regression machine method to the training sample to establish the best variable predictive model, and classifying the test sample according to the best variable predictive model; and distinguishing the operating state and the fault type of the fault object according to the classification result. The gear fault diagnosis method based on improving the multivariable predictive models has higher resolution in the model recognition process.

The invention discloses a vacuum high/low temperature environmental simulation electromechanical transmission mechanism comprehensive performance experimental system, which comprises an experimental platform, a driving assembly, a vacuum high/low temperature experimental assembly, a normal temperature and normal pressure experimental assembly and a loading assembly. The driving assembly comprises a servo motor, an input end torque and speed sensor and an input end angle encoder; the vacuum high/low temperature experimental assembly comprises vacuum high/low temperature environmental simulation equipment, an optical platform, and input and output end magnetic fluid sealing shafts; and the loading assembly comprises an output end angle encoder, an output end torque and speed sensor and a torque motor. The vacuum high/low temperature environmental simulation equipment has low cost, the installation of the driving assembly and the loading assembly is performed outside a vacuum tank, and the installation and debugging are convenient. Due to the adoption of a modular design, the experimental system can test the comprehensive performance of a speed reducer and other rotating mechanisms under the conditions of space environment and normal temperature and normal pressure environment on the same experimental system, and has the advantages of strong adaptability of the equipment and high detection accuracy.

The invention relates to a measuring instrument for comprehensive performances of an RV (rot-vector) reducer and belongs to the technical field of precision testing and metering. The measuring instrument comprises two major parts, wherein a mechanical part mainly comprises a precision mounting support of the RV reducer, an input shaft system, an output shaft system, a torque motor, a shaft coupling, a torque sensor, a magnetic powder brake and a brake mounting support; a measuring and controlling part mainly comprises the torque motor, a controller, a driver, an encoder, a subdivision device, a DSI (digital speech interpolation) card, a data acquisition card and an industrial personal computer. The measuring instrument provided by the invention fills in the blank in testing tables for the comprehensive performances of the RV reducers at home and abroad, and has the advantages of reliable performances, good measurement repeability and accurate measured parameters.

A device for detecting comprehensive performance of a ball screw assembly in a loaded state comprises a testboard machine body fixed on a cast iron platform, wherein a servomotor is arranged at one end of the testboard machine body; the output shaft of the servomotor is connected to one end of the ball screw assembly through a first coupler, a dynamic torque sensor and a second coupler; an eddy current sensor and a rotary encoder are arranged at the other end of the testboard machine body; a grating scale and an infrared temperature sensor are arranged on the testboard machine body; a rolling guide rail is arranged on the testboard machine body, and is provided with an analog working table; the analog working table is connected to the rolling guide rail through a rolling guide rail slide block, and is connected to a loading device; a ball screw assembly nut is arranged on the analog working table through a nut support base. The device is stable in properties, quick in movement and testing response speed, comprehensive and accurate in testing performance parameters, and simple in structure, and can realize the comprehensive performance detection of ball screw assemblies with different models in no-loaded states or loaded states.

A system includes a resonant sensor in contact with oil within a gearbox of a rotor system, such as a wind turbine, and one or more processors. The sensor includes electrodes and a sensing circuit that generates electrical stimuli having frequencies applied to the oil at different times during a life of the gearbox. The processors receive electrical signals from the resonant sensor representative of impedance responses of the oil to the electrical stimuli. The processors analyze the impedance responses and determine a concentration of a polar analyte in the oil at different times. The processors calculate a degradation value for the gearbox based on the concentration of the polar analyte. Responsive to the degradation value exceeding a designated threshold, the processors at least one of schedule maintenance for the rotor system, provide an alert to schedule maintenance, or prohibit operation of the rotor system until maintenance is performed.

The invention discloses an automobile pedal operating mechanism assembly performance test board which comprises a measuring mechanism, a rotary movement mechanism, a transverse movement mechanism, an elevating movement mechanism, a vertical movement mechanism, a support and a data acquisition control system. The support is erected with the vertical movement mechanism. One side of the vertical movement mechanism is provided with the transverse movement mechanism. A top of the transverse movement mechanism is provided with the elevating movement mechanism. The elevating movement mechanism is fixedly provided with the rotary movement mechanism. A top of the rotary movement mechanism is provided with the measuring mechanism. A force transducer of the measuring mechanism is electrically connected with the data acquisition control system. The test board has four degrees of freedom, and can carry out a plurality of detection needed by a pedal such as stroke detection, pedal force detection, output force characteristic detection, elevating time detection, master cylinder pressure characteristic detection, endurance performance detection, actuator head adjusting detection and the like, an exploitation trial-production period of the automobile pedal is shortened, and the test cost in an exploitation process is saved.

The invention discloses a comprehensive performance test bench for a planetary roller screw. A driving assembly provides power for the planetary roller screw; a test assembly is used for mounting a planetary roller screw of a different model; a hydraulic loading assembly is adopted to carry out dynamic and static loading on a planetary roller screw nut, load borne by the planetary roller screw during actual work is simulated, and a force closed loop is adopted to ensure accuracy of the loading force. The test bench is provided with a torque sensor, an angle encoder, a circular magnetic grating, a grating ruler, a LVDT, and a force sensor. Measurement on torque, an angle, displacement and force is realized through the sensor. Through analyzing the test data, test on performance of the position precision, the speed, the acceleration, the transmission efficiency, the transmission clearance and the axial stiffness of the planetary roller screw of the different model in the load state can be completed. The test bench has the advantages of simple and flexible structure, thorough and accurate test performance parameters, high loading precision and strong test scalability.

A method for detecting vibration signatures in a reversible drive is disclosed. The method includes the steps of acquiring digital data representative of vibrations in the reversible drive and identifying and grouping together portions of data in a plurality of groups. The identified portions of data relate to a particular direction of travel of the reversible drive and the plurality of groups relate to travel in different directions of the reversible drive. The method can include the further step of processing at least one of the groups of data using signal processing techniques. A system and computer program product for practicing the method for detecting vibration signatures in a reversible drive are also disclosed.