7566results about "Dynamo-electric machine testing" patented technology

Systems and methods are disclosed for controlling and diagnosing the health of a motorized system. The systems may comprise a diagnostics system and a controller, wherein the diagnostics system employs a neural network, an expert system, and / or a data fusion component in order to assess the health of the motorized system according to one or more attributes associated therewith. The controller may operate the motorized system in accordance with a setpoint and / or a diagnostics signal from the diagnostics system. Also disclosed are methodologies for controlling and diagnosing the health of a motorized system, comprising operating a motor in the motorized system in a controlled fashion, and diagnosing the health of the motorized system according to a measured attribute associated with the motorized system, wherein the motor may be operated according to a setpoint and / or the diagnostics signal.

A method of testing an electric motor that is adapted to provide a desired electric motor output torque to a vehicle powertrain system comprising an engine and the electric motor which are operatively and selectively coupled to a transmission. The method includes the steps of determining an initial motor speed of the electric motor, determining a motor torque command as a function of the initial motor speed, applying the motor torque command to the electric motor to produce an output torque from the electric motor, measuring a resultant motor speed of the electric motor and establishing a motor status as a function of the resultant motor speed. The method may be implemented as a computer control and diagnostic algorithm.

A method implemented using a controller based device includes receiving a measured electrical signal from an electrical device of an electromechanical device and receiving a measured vibration signal from a mechanical device of the electromechanical device, coupled to the electrical device. The method further includes determining a first signal signature based on the measured electrical signal and determining a second signal signature based on the measured vibration signal. The method also includes determining a diagnostic parameter based on the first signal signature and the second signal signature and determining a fault in the mechanical device based on the diagnostic parameter.

An alternator tester includes an alternator output measurement circuit configured to measure an electrical output of an alternator. A microprocessor determines a alternator condition as a function of the electrical output. The microprocessor encrypts information and provides an encrypted output which is related to the alternator electrical output. A method includes outputting such encrypted data.

The present invention generally teaches systems and methods for creating appliance signatures based upon whole house composite load profiles. Methods may includes steps such as identifying primitive elements including transients and absolute steady state levels; clustering the primitive elements along multiple dimensions to form impulses; combining impulses to form simple bundles; combining simple bundles with each other or impulses to form complex bundles; and determining specific appliance signatures that substantially match the complex bundles. Methods may also include steps such as determining transitions within the whole house composite load profile; determining household specific appliance state machines for each appliance in the household; and disaggregating the whole house composite load profile into individual appliance energy loads by assigning the determined transitions to the determined household specific appliance state machines.

An air gap inspection device for a generator field or stator core. The inspection device may include first and second side drive modules and a center drive module disposed between the side drive modules. The first, the second, and the center drive modules may include a track for driving on the generator field or the stator core. The inspection device also may have a transverse assembly connected to the center drive module. The transverse assembly may include an ultrasonic module.

An alternator tester is provided for testing an alternator of a vehicle while the alternator is coupled to the vehicle. A sensor is configured to couple to the vehicle and sense a signal related to operation of the alternator. A memory contains data related to operator instructions for performing an alternator tester of a function of vehicle type. A processor configured to provide an output indication of alternator condition based upon the sensed signal. An extra load or connection can be provided for coupling to the electrical system.

A constant detecting apparatus 15 comprising a detecting unit 26 and a calculating unit 27. The detecting unit 26 is structured comprising a rotation sensor 41, a torque sensor 42, a position sensor 43, a rotor temperature sensor 44, a winding temperature sensor 45, a phase voltage detector 46, and phase current detectors 47 and 47. The calculating unit 27 calculates the induced voltage constant Ke that changes depending on the motor temperature Tmag while the motor 11 is being driven based on each of the detected signals from the detecting unit 26, and at the same time, the d axis current Id and the q axis current Iq are calculated after elimination of the iron loss, and the d axis inductance Ld and the q axis inductance Lq in the actual operating state of the motor 11 are calculated.

The invention relates to a load stimulation device of a servo system and a performance testing device of the servo system and belongs to the field of detection technology and automation technology. The devices integrate three modes of inertia loading, servo motor loading and spring loading, can realize independent loading of three loading modes, two combination loading or simultaneous loading, and can stimulate various loading conditions, such as inertia load, elastic loading, unbalanced load, impact load, time change load and the combination of various loads. Acquired signals of a tested servo system, a torsion rotational speed sensor and an angle sensor are sent to a computer for processing so as to realize the static and dynamic performance test under different loading conditions.

This invention relates to one gas wheel motor rotor coil shortcut online test method in the test technique field, which comprises the following steps: through online real time collecting motor electrical parameter data and according to one certain work situation motor electrical parameter data to compute normal current theory values by reverse rotor normal current; then computing excitation magnetic current real value and theory value relative bias; the bias difference is as generation motor set to judge whether there is coil short cut fault as dialogue of the shortcut fault.

The invention provides an alternating-current brushless generator fault detection method based on an exciter exciting current. The method comprises the following steps: firstly, measuring the direct-current component and each subharmonic amplitude value of the exciter exciting current of a generator set; and then, detecting whether the generator set generates electrical failures or not with a stator winding turn-to-turn short circuit diagnosis algorithm, a rotor winding turn-to-turn short circuit diagnosis algorithm, an exciter fault diagnosis algorithm and a rotary rectifier fault diagnosis algorithm, wherein the electrical failures comprise stator winding turn-to-turn short circuit, rotor winding turn-to-turn short circuit, exciter rotor winding turn-to-turn short circuit, exciter rotor winding interphase short circuit, open circuit of one diode of the rotary rectifier and short circuit of one diode of the rotary rectifier. According to the LabView development fault diagnosis algorithm, various electrical faults can be detected by measuring the exciter exciting current so as to save measurement points, and various invasive sensors do not need to be installed in the generator. The alternating-current brushless generator fault detection method has good instantaneity, and the on-line detection requirement can be satisfied.

This invention relates to detecting, analyzing method and devices of permanent magnetic field deformation in permasyn motor. It is in the electric machine control technique field. This method is based on signals which are easy to detect such as voltage, current, electric engine rotate speed, location of the rotor, and so on. To get a real-time observation to the changing state of permasyn motor permanent magnetic field and calculate the back electromotive force coefficient, the permanent magnetic flux linkage on magnetic field synchronous revolution dq coordinate system of permasyn motor. Then the harmonic component in permanent magnetic waveform reflected motor phase winding back electromotive force coefficient by analyzing the back electromotive force. According as those methods, the optimizing control can be applied to forecast and prevent status of excitation losing in permasyn motor. The outcome has already reached can apply to excitation losing online detecting and high performance control of electric engines.

A combined AC / DC monitoring system simultaneously monitors an AC power supply and a DC power supply in a mobile unit. The monitoring system is electrically isolated from an AC input source through an AC isolation transformer. A microcontroller digitally provides various computed variables from various digitized input signals. The monitoring system simultaneously displays a plurality of the computed variables while the system monitors for various user-selected high / low conditions of the computed variables. The system monitors AC power surges and can alternately displays a high voltage level for a predetermined time and a low voltage level for a predetermined time. An algorithm determines whether the AC voltage is a true sine wave or otherwise. The system monitors DC current on the high side, or positive terminal, of a battery. User selectable DC shunts are provided to measure a range of DC currents.

An inspection head for an air gap inspection device. The inspection head may include a pair of expandable shoes, an inspection device attached to the pair of shoes, and a transducer assembly attached to one of the pair of shoes.

A stall detection circuit and method for a stepper motor. The circuit has an H-bridge configuration with an additional circuit pathway to ground being connected at a point between two center windings. During the transition between step sequences, the circuit employs a monitoring phase in which the previously active low side driver is turned off such that current passes through only the first winding and then is diverted to ground via the additional pathway. While the phase voltage is thus momentarily extinguished, the second coil is used to monitor the motor's back EMF, from which it can be determined whether the rotor is in a normal running mode, a stall, or a reverse condition.

Systems and methods are provided for identifying a fault condition in stator windings in an electric motor. A method comprises applying a first signal at a first electrical angle to the stator windings and measuring a second signal from the stator windings in response to the first signal. The method further comprises determining a measured response for the electric motor at the first electrical angle based on the second signal and obtaining a nominal response for the electric motor at the first electrical angle. A fault condition is identified when a magnitude of the difference between the measured response and the nominal response is greater than a threshold value.

The invention relates to a online testing process for shorted fault of asynchronous motor's stator winding, which is belong to Detecting Technology. It was designed to solve the detecting problem of stator winding. The project is that it figures out the voltage and current of negative sequence and positive sequence of the stator winding by collecting three-phase stator voltage, instantaneous-current signal. Then using of normal motor sample reference document estimated the filter value of the stator negative sequence, figured out the stator negative sequence current fault component. And then base on the threshold of the stator negative sequence current fault component educe failure exponent. Finally according to the index judge whether to exist short circuit failure or not. This invention also gave corresponding detection device. Not only can high sensitivity, high reliability and on-line measurement asynchronous motor stator windings at the beginning of the early short circuit fault, but also can judge short circuit phase. This can effectively ensure the asynchronous motor operating safely.

The invention relates to a temperature rise analytical method for predicting temperature of a permanent magnet in a permanent magnet synchronous motor (PMSM), belonging to the application electrical engineering design field; the method is characterized in that: distributed heat source of a motor is analyzed by a filed-circuit compact coupling method, comprising eddy current loss in the permanent magnet, iron loss in an iron core and copper loss in armature; on the consideration of precision requirements, the coupling analysis of a magnetic field and a temperature filed can be realized by single-way coupling mode. A thermal model of the permanent magnet synchronous motor is built based on a mixing method of a novel equivalent heat network and a finite element, heat parameters are rationally selected by adopting a combining mode of experimental measurement and empirical formula, the heat transferring coefficient and cooling condition of the motor are described completely, a stator and a rotor can be systematically combined by adopting air gap joints in the heat network, the stator and rotor unified temperature rise model is formed, the difficulty of measuring air gap temperature is avoided, material parameters are adopted at the practical working temperature, so as to lead the analysis to be rational; the accurate and optical method for predicting the temperature of the permanent magnet is realized by special correction processing in experimental links; in addition, the design method is used to give suggestions for model selection of the permanent magnet material in the motor.

The apparatus for partial discharge detection of turn-to-turn insulation in motor has a surge generator for generating a surge voltage to the windings of the motor by applying a pulse voltage, and a partial discharge current detector for detecting partial discharge currents between the winding turns of the motor. The surge generator generates in and between the windings of the motor the surge voltage that has the rise time and fall time corresponding to the rise time of the surge voltage observed at the motor terminal when the motor is driven by an inverter, and that is repeated at a frequency of 50 Hz to 20 kHz.

The invention relates to a diagnosis method for power transistor of doubly salient motor driver, belonging to the fault diagnosis method for power device in motor driving system. In the method three-phase current sensor is set on three-phase bridge arm; while three-phase current is measured the measurement for current signal of current reflowing is added; after current reflowing signal is treated digitally and driving signal of power transistor is combined on-line fault measurement and diagnosis for main power circuit are realized. The invention is provided with simple realization and good rapidity. Not only open fault of power transistor can be diagnosed quickly but also it can play a better protecting effect for bridge-arm direct phenomenon maybe generated by short circuit of power transistor. At the same time it provides a feasible method for fault diagnosis of motor driving system based on full-bridge converter.

The invention provides a fault early warning method of a wind generating set. The fault early warning method comprises the following steps of: 10) collecting the actual temperature value R and temperature related parameter data of a monitored point for N times in a sampling period; 20) inputting the collected actual temperature value R and the temperature related parameter data of the monitored point into a predetermined temperature mould, computing to obtain a temperature predicted value of the monitored point and taking the temperature predicted value as the theoretical temperature value P of the monitored point; 30) obtaining a temperature deviation DEV, a temperature mean-square deviation MSE and related coefficients SCC of the theoretical temperature value P and the actual temperature value; and 40) estimating the health condition of the wind generating set on the basis of the temperature deviation DEV, the temperature mean-square deviation MSE and related coefficients SCC. By means of the fault early warning method, the accuracy of estimating the health condition of the wind generating set can be improved.

A tester for a default mode of operation of an alternator is provided. The tester includes an internal memory having computer executable instructions and a processor coupled to the internal memory and to an alternator via a communication bus. The processor is configured to execute the computer executable instructions in the internal memory to provide at least one parameter associated with a vehicle to the alternator simulated as a communication signal over the communication bus, detect an absence of the communication signal at the alternator, test, upon detecting the absence of the communication signal, whether or not the alternator enters a default mode of operation, the default mode being indicated by a preset output voltage uniquely associated with the default mode and monitored by the processor, and indicate whether the alternator entered the default mode successfully.

The invention discloses a wind turbine generator system fault intelligent diagnosis and early warning method based on random forests. The wind turbine generator system fault intelligent diagnosis and early warning method based on random forests includes the steps: extracting the historical data of the wind turbine generator system state as the sample data; performing exploratory analysis and preprocessing on the sample data; constructing a wind turbine generator system fault intelligent diagnosis and early warning model based on random forests, and analyzing and evaluating the model according to the model result; utilizing the model after analysis and evaluation to perform real-time diagnosis on wind turbine generator system equipment; and if the diagnosis result is not normal, sending out an alarm information by the model. The wind turbine generator system fault intelligent diagnosis and early warning method based on random forests utilizes the random forest algorithm and considers the overall characteristics of the index, so that the wind turbine generator system fault intelligent diagnosis and early warning method based on random forests can solve the problem that single index decides the equipment state and can also comprehensively consider the concealed knowledge relevance among many indexes so as to make comprehensive judgment on the output result.

The invention discloses an automatic expert comprehensive fault diagnosis system and a diagnosis method for wind turbines, which include: a data acquisition module that collects relevant data of a main control unit and a vibration signal acquisition unit and transmits it to a fault diagnosis module; a fault diagnosis module that comprehensively uses The neural network knowledge and expert system module use forward reasoning and compare the parameter fluctuation values ​​obtained in real time with the data in the fault sample knowledge base to generate fault information in real time; the fault diagnosis module passes the diagnosed fault information through the human-machine interface module for output. This invention uses the main control unit to read parameters such as instantaneous power, rotation speed, propeller angle, cabin temperature, wind speed, oil temperature, yaw status and other parameters of the wind turbine to improve the accuracy of fault diagnosis, and uses a neural network expert system based on wavelet packet analysis Carry out automatic analysis and give operation and maintenance suggestions through the expert diagnosis system.

A method for detecting stator ground faults in a generator is described. The method includes receiving a neutral voltage signal from a neutral point of a stator, receiving a plurality of terminal voltage and current signals from the stator, deriving a magnitude of a harmonic component from the neutral voltage signal, deriving a total complex power from the terminal voltage and current signals, calculating an expected value of a harmonic based on the complex power at a first time and a plurality of values of the complex power, where the values of the complex power are measured at times before the first time, and comparing the expected value and a measured value of the harmonic.

The invention relates to a method for recognizing parameters of asynchronous motor. The stator resistance of motor is measured by a method of DC volt-ampere. The rotor resistances as well as leakage inductance of stator and rotor of motor is obtained by short circuit test. Mutual inductance of stator and rotor of motor can be taken from method of no-load test. Compensating voltage drop in on state, switch time delay and dead time raises the accuracy and stability of recognized parameter. The resistance values of rotor at frequency of rating sliding difference are calculated by method of two points through test of locked rotor at two frequencies. Since skin effect is overcome, the resistance values of rotor are accurate enough so as to meet the requirement of vector control system completely.

Various methods and systems for testing electric automotive drive systems are provided. The methods may be implemented with components with components that are used during normal operation of the automobile, such an inverter, an electric motor, and an electronic control system. One such method includes adjusting the frequency of a current pulsed input provided to an electric motor while monitoring the winding currents. Another method includes monitoring current flow during and after a direct current (DC) pulse is generated by switches within an inverter. A further method includes monitoring current flow while a deactivation signal is provided to the switches and during individual activation of the switches.

A partial discharge detection apparatus of an electrical rotating machine includes a metal frame connected to a stator frame of the electrical rotating machine, a power line connected to one of a stator winding corresponding to one phase of three phases in the metal frame and a neutral point lead line connected to a neutral point of three-phase stator windings and arranged in the metal frame to propagate a partial discharge signal generated by degradation of the stator winding, a sensor including a rod antenna which is installed around the power line or neutral point lead line in the metal frame to electrostatically and magnetically induce the partial discharge signal propagated to the power line or neutral point lead line, and a detector which receives, via a signal lead line, a signal generated in the sensor and detects partial discharge by signal processing.