7526results 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.

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.

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.

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 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.

The invention discloses a phase loss detection method for a three-phase motor and a detection circuit. The phase loss detection method for the three-phase motor comprises the steps of inputting a test current which is less than a starting current of the three-phase motor to the three-phase motor before the start of the three-phase motor; detecting a current value of a winding of the three-phase motor; determining whether the detected current value is less than or equal to a preset current value; and determining phase loss of the three-phase motor when the detected current value is less than or equal to the preset current value. Power supply for the three-phase motor is stopped when phase loss of the three-phase motor is determined. The phase loss detection method for the three-phase motor and the detection circuit are used for solving the problem that a phase loss detection method for the three-phase motor cannot effectively protect the three-phase motor in the prior art, thereby improving the effect of timely protection of the three-phase motor.

The invention discloses an automatic expert comprehensive fault diagnosis system and a diagnosis method of a wind power unit, including: a data acquisition module, which collects relevant data of a main control unit and a vibration signal acquisition unit and transmits it to the fault diagnosis module; a fault diagnosis module, which is comprehensively used Neural network knowledge and expert system module knowledge, use forward reasoning and real-time parameter fluctuation values ​​to compare with the data in the fault sample knowledge base, and generate fault information in real time; the fault diagnosis module will diagnose the fault information through the man-machine Interface module for output. The present invention uses the main control unit to read parameters such as wind turbine instantaneous power, rotational speed, propeller angle, cabin temperature, wind speed, oil temperature, yaw state, etc. to improve the accuracy of fault diagnosis, and utilizes the neural network expert system based on wavelet packet analysis Carry out automatic analysis, and give operation and maintenance suggestions through the expert diagnosis system.

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.

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.