3292results 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.

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.

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.

A remote controlled inspection vehicle provides interchangeable modules, permitting the vehicle to be easily configured to perform a wide variety of tasks. The vehicle includes at least one frame module having a pair of drive modules on either side. Each drive module includes a continuous track surrounding a permanent magnet, and is dimensioned and configured to pivot around its longitudinal axis. The frame modules are dimensioned and configured to be hingedly secured to other frame modules, end effectors including various sensors for performing inspections, and tail units to assist in placing the vehicle in the desired environment.

This invention is a methods and devices for detecting the fault of a cage rotor, which belongs to testing technology and for the settlement of broken rotor on the early detection of fault issue. Its technical program: through the acquisition of the stator transient current (is) continuously to do Fourier transform, receiving fundamental wave namely reference signal uS. Do adaptive filtering based the reference signal uS and the frequency f1 for the stator current transient signal. And then filter the output signal eT to do continuous the Fourier transform, identified (1 +- 2s) f1-frequency component and the amplitude of the fundamental components ratio as a failure features, the final determining fault index depending on fault detection threshold index and judge of Broken Bars, This invention can high sensitivity, high reliability and on-line detect the early induction motor of Broken Bars.

A motor fault detecting method and a motor fault detecting system are provided. An electrical frequency and sensing current data of a brushless motor is obtained. An empirical mode decomposition (EMD) is performed on the sensing current data to obtain intrinsic mode functions (IMF). A feature IMF is obtained from the IMFs, in which the feature IMF is feature current data, and a frequency of the feature current data complies with the electrical frequency of the brushless motor. An electrical impedance is calculated according to an input voltage of the brushless motor and the feature current data. The electrical impedance is compared with a reference electrical impedance to determine if the brushless motor is abnormal. The reference electrical impedance is calculated according to training sensing current data of a training brushless motor which is in a healthy state. Accordingly, whether the brushless motor is abnormal is effectively determined.

A direct current machine monitoring system includes a current sensor for monitoring load current of the machine; and a computer for obtaining a power spectrum in a range including a machine trait-passing frequency, determining a magnitude of a maximum peak in the power spectrum in a range including the trait-passing frequency plus or minus an uncertainty frequency, and evaluating the magnitude of the maximum peak to assess a condition of the machine. The computer may additionally or alternatively be used for obtaining a low frequency power spectrum of the load current, obtaining at least one magnitude of a component of the power spectrum at a respective predicted frequency, and evaluating the at least one magnitude of the component to assess the condition of the machine.

A method and apparatus for detection of spark activity in an electrical machine having a shaft, wherein at least one of the shaft voltage and the shaft current is measured and analyzed for components which are characteristic of spark activity. The method uses the shaft voltages and/or shaft currents which are normally generally regarded only as being damaging has been found to be accurate and to be suitable for long-term monitoring of spark activities such as brush sparking, spark erosion, spark flashovers between parts of the shaft bearings and can be implemented physically very easily and in a reliable manner, since the existing grounding devices are used.

A miniature air gap inspection crawler. The miniature air gap inspection crawler may include a base, a linear drive mechanism and a circumferential drive mechanism such that either the linear drive mechanism or the circumferential drive mechanism may be employed, and an inspection module connected to the base.

The present invention relates to test table for driving motor of hybrid electric vehicle to finish capability test of driving motor of hybrid electric vehicle and debugging function of control software. The table system has simple structure, convenient operation and maintains and high test precision. When the grades of motor and load voltage are identical, the system can work parallel with DC generatrix and feed back energy, the energy lose is less, the power supply need to provide system loss energy is about 10% to 20%, the cost is reduced greatly and the requirement of capacity of power supply is little. When the grades of motor and load voltage aren't identical, two complexions are happened, when motor is as driver, energy is applied to load resistance box by dynamometer system or power supply; when the motor is as generator, the energy is applied to load resistance box by power supply.

The invention relates to a movable low-voltage ride-through testing device for a wind generating set. The device is connected between a tested wind generating set and an electric network in series, uses an impedance voltage-dividing type and a vehicle container structure, and tests the low-voltage ride-through performance of the wind generating set through analog voltage sag fault; a main connecting wire of the device consists of a serial reactor group, a parallel reactor group and a circuit breaker; the serial reactor group and the parallel reactor group both consist of at least one adjustable reactor; the impedance voltage-dividing ratio can be changed by regulating the impedance value of each adjustable reactor and/or the connecting manner of each adjustable reactor so as to change the voltage sag depth of testing points; and once recovery or a step recovery of the voltage sag can be implemented according to the system requirements. The device can complete the low-voltage ride-through testing experiments for various wind generating sets having a maximum rated capacity of 6 MW, and meet the requirements to the low-voltage ride-through testing experiment in wind electric network integrations in states in Europe and America and Technical Rule for Connecting Wind Farm to Power Networks.

A motor driver capable of detecting the insulation deterioration of a motor easily and inexpensively is disclosed. The voltage supplied from an AC power supply (1) is rectified by a first rectifying circuit (D1 to D6) and smoothed by a capacitor (C) in a power supply unit (6). The output voltage of the power supply unit (6) is converted into an AC voltage of a frequency and a motor (M) is driven by a motor drive amplifier (8). Elements (R1, C2, R11, C21) are connected between at least one of the positive electrode (4) and the negative electrode (5) of the output line (4, 5) of the power supply unit (6) and the ground (G2, G4). An insulation deterioration circuit (10, 11, 12) detects at least one of the voltage between the elements and the current flowing through the elements.

The invention relates to a wind turbine generator fault early warning method based on data mining. A method based on the minimal redundancy of maximum weight is adopted to select a fault feature signal and carry out dimensionality reduction on the fault feature signal, so that decision accuracy is guaranteed, and the calculated amount of data processing is reduced. Meanwhile, on the basis of the historical data of an SCADA (Supervisory Control And Data Acquisition) system, the early warning model of each equipment component of a wind turbine generator is established, and a nonlinear state estimation technology is adopted to obtain the real-time prediction value of each piece of equipment and each component. On the basis, an adaptive threshold value is designed, and the false alarm of the system due to interference including environment temperature, wind speed change and the like can be avoided. By use of the method, an abnormal state is identified before faults happen so as to be convenient in adopting a corresponding measure in time, so that preventive repair is carried out, and the method has an important practical application value.

An online insulation condition monitoring system for a rotating electric machine, includes a differential current sensor and a voltage sensor coupled to the machine, for measuring values for the instantaneous differential current and the instantaneous phase voltage respectively. A processing module is configured for converting the values for the instantaneous differential current and the instantaneous phase voltage to respective values for phasor current and phasor voltage. The processing module further calculates an angular relationship between phasor current and phasor voltage and generates an output based on the calculated angular relationship, as an indication of insulation condition.

A motor drive apparatus includes a motor unit including an output shaft and a first terminal connecting portion; a control board including a second terminal connecting portion, and configured to control a current supply to the motor unit; a housing; a shaft supporting portion supporting the output shaft; and a plurality of relay terminals electrically connecting the first terminal connecting portion with the second terminal connecting portion. The housing includes a motor-unit receiving portion receiving the motor unit, and a board receiving portion formed integrally with the motor-unit receiving portion. The motor-unit receiving portion is formed with an opening on one side of the motor-unit receiving portion in an axial direction of the motor unit and includes a wall portion on another side of the motor-unit receiving portion in the axial direction. The wall portion is formed with a through-hole. The board receiving portion is formed with an opening in the axial direction to receive the control board. The plurality of relay terminals are provided via the through-hole of the wall portion.

The invention discloses a starting method of a brushless, position sensor- free DC motor based on current feedback. The method comprises the steps as follows: a rotor is pre-positioned; the direction changing and the current converting are carried out; a preset voltage value is calculated according to a pressure-raising curve and is output in the form of PWM; the direction changing and the current converting are carried out when detection shows that a phasing current value I exceeds a predetermined value IH, and the preset voltage value in the next step is calculated at the same time according to the pressure-raising curve; and an electric motor is switched over to closed-loop operation when the current converting frequency is greater than the predetermined value, that is, rotational speed is high enough to obtain a back-EMF signal. Based on the real-time detection on the starting current, the technical proposal of the starting method obtains better starting performance compared with a traditional three-step starting method, ensures the stability and controllability of Delta during the whole accelerating process, leads the starting current to be more stable, enables the accelerating process to be smoother, automatically reduces the rotational speed and the Delta so as to obtain greater electromagnetic torque without desynchronizing when meeting with load disturbance, and does not need to add extra hardware or timers, thereby being simpler and more reliable.

A wind generating set fault prediction method based on D-S evidence fusion is disclosed. In the method, for two kinds of signals, two support vector machines after parameter optimization are constructed, the two support vector machines are taken as two evidences, and after D-S fusion, a final prediction fault type is given. The method has advantages that (1) in a traditional vibration method, only a vibration signal is analyzed, and a neural network, a decision tree and other machine learning algorithm models are constructed according to a vibration energy characteristic vector; but the vibration signal is only observed so that some fault states can be misclassified, for instance, a bearing damage and rotor eccentricity can cause a vibration signal abnormity, and at this time, a current signal can be used to distinguish two kinds of fault states; and (2) a prediction model established in the method can be stored, historical data does not need to be repeatedly extracted and trained, and under a real-time prediction environment of a wind field, a prediction result can be quickly provided.

The invention relates to a test stand system of an electric automobile driving motor, which comprises a dynamometer system and a measured motor system, a speed reducer is installed between the dynamometer system and the measured motor system and used for adjusting the rotary speed of the measured motor in the measured motor system, the electricity of the dynamometer and the measured motor is respectively supplied by two sets of power supplies, a stand motor is arranged in a feedback electric network at an alternating current end, the measured motor can have a wider voltage range, and the standsystem has high efficiency and can carry out hardware-in-loop test for electric automobile power assemblies.