Patent classifications
G01R31/72
Power transformer winding fault positioning method based on deep convolutional neural network integrated with visual identification
The disclosure discloses a power transformer winding fault positioning method based on deep convolutional neural network integrated with visual identification, including 1) a winding equivalent circuit is established, and a transfer function thereof is calculated; 2) a sine wave excitation source is set at one end of the power transformer winding to obtain the amplitude-frequency characteristic curve of each winding node; 3) circuits under various fault statuses are subjected to scanning frequency response analysis to extract amplitude-frequency characteristics; 4) a feature matrix is established based on the obtained amplitude-frequency characteristics; 5) scanning frequency response analysis is performed on the diagnosed power transformer to form a feature matrix; 6) the feature matrix is converted into an image, simulation and historical detection data are used as a training set, and a deep convolutional neural network is input for training; 7) diagnosed transformer is subjected to fault classification and positioning.
CURRENT SENSING IN A WIRELESS POWER TRANSFER SYSTEM
A current sensing method measures a fractional current through a coil having a plurality of coil windings by using a current sensing resistor to measure a current through a subset of the plurality of coil windings and using a voltage sensor to measure a voltage drop across the current sensing resistor. The measured current and voltage values are provided to a processor to determine the fractional current and phase of the coil. For example, the fractional current and phase of the coil may be determined by calculating a total current of the coil as I=n(V/Rx), where n is the number of coil windings of the coil, V is the measured voltage, and Rx is the impedance of the current sensing resistor. The coil may be a secondary winding used in a wireless power transfer system.
CURRENT SENSING IN A WIRELESS POWER TRANSFER SYSTEM
A current sensing method measures a fractional current through a coil having a plurality of coil windings by using a current sensing resistor to measure a current through a subset of the plurality of coil windings and using a voltage sensor to measure a voltage drop across the current sensing resistor. The measured current and voltage values are provided to a processor to determine the fractional current and phase of the coil. For example, the fractional current and phase of the coil may be determined by calculating a total current of the coil as I=n(V/Rx), where n is the number of coil windings of the coil, V is the measured voltage, and Rx is the impedance of the current sensing resistor. The coil may be a secondary winding used in a wireless power transfer system.
Condition monitoring system, condition monitoring method, condition monitoring program, and storage medium
The condition monitoring system includes an acquisition unit and a generation unit. The acquisition unit acquires waveform data from a measuring device to measure an electrical signal that is either output or input of a converter. The waveform data represents a waveform of the electrical signal. The generation unit generates, based on the waveform data, analysis data to monitor the condition concerning the converter. The generation unit obtains, by frequency analysis, a plurality of combinations, each including a value of a frequency and a value of a feature quantity that is either intensity or phase, based on the waveform data when a value of the drive frequency varies and thereby generate the analysis data having at least three variables including the frequency, the feature quantity, and the drive frequency.
Condition monitoring system, condition monitoring method, condition monitoring program, and storage medium
The condition monitoring system includes an acquisition unit and a generation unit. The acquisition unit acquires waveform data from a measuring device to measure an electrical signal that is either output or input of a converter. The waveform data represents a waveform of the electrical signal. The generation unit generates, based on the waveform data, analysis data to monitor the condition concerning the converter. The generation unit obtains, by frequency analysis, a plurality of combinations, each including a value of a frequency and a value of a feature quantity that is either intensity or phase, based on the waveform data when a value of the drive frequency varies and thereby generate the analysis data having at least three variables including the frequency, the feature quantity, and the drive frequency.
DETECTION OF RADIAL DEFORMATIONS OF TRANSFORMERS
A method for detecting radial deformation in a winding of a transformer may include synthetic aperture radar (SAR) imaging of the winding using ultra high frequency (UHF) electromagnetic signals in a first instance of the winding to obtain a first image of the winding; SAR imaging of the winding using UHF electromagnetic signals in a second instance of the winding to obtain a second image of the winding; and comparing the first image of the winding and the second image of the winding to detect a radial deformation in the winding. The UHF electromagnetic signals may be transmitted as a plurality of successive sinusoidal signals, where frequencies of the successive sinusoidal signals gradually change from a first frequency to a second frequency.
METHODS OF FAULT DETECTION FOR SOLENOID VALVES
This invention provides two methods for detecting mechanical or electrical faults in a solenoid valve. In the first method, a force sensor is placed in the valve in such a way as to detect changes in the impact force of the plunger against the solenoid valve body or coil housing (depending upon the direction of movement of the plunger upon application of the electric current/magnetic field). A second method is provided which makes use of an accelerometer placed in such a way as to detect changes in the response of the plunger to the application of the magnetic field.
Method and device for evaluating long-term operation of transformer oil pump
A device and method for evaluating long-term operation of a transformer oil pump. An inlet of an oil pump is connected to an outlet of an oil tank through an oil pipe, and an outlet of the oil pump is connected to an inlet of the oil tank through an oil pipe. A pressure gauge is provided on the oil pipe to the inlet and the outlet of the oil pump, respectively. An ultra-high-frequency (UHF) sensor is provided on an inner wall of an oil pipe close to the oil pump. A pressure difference between the oil pipes to the inlet and to the outlet of the oil pump is monitored. A three-phase unbalanced current of a stator winding is monitored. The vibration of the oil pump is monitored. The rotor-to-stator rub is monitored. Based on the above inspection, a long-term health status of the oil pump is determined.
Testing a solenoid of a directional control valve
A method of testing a solenoid of a directional control valve in a subsea hydrocarbon production system, the solenoid having a coil and an armature for operating the valve and the coil being energized by a drive voltage across it, the method comprises removing or reducing the drive voltage and sensing current through the coil to produce an indication of movement of the armature.
TRANSFORMER TEST DEVICE AND METHOD FOR TESTING A TRANSFORMER
A transformer test device (10) for testing a transformer (40) has connections (12) for releasably connecting the transformer test device (10) to the transformer (40). The transformer test device (10) has a source (13) for generating a test signal for testing the transformer (40). The transformer test device (10) has a controllable switching means (15) which is connected to the connections (12) during a transformer test for the purpose of short-circuiting at least one winding (42) of the transformer (40).