16 results about "Power transformer windings" patented technology

The application discloses a power transformer winding and rubber coating integrated machine and a manufacturing method thereof, and belongs to the field of transformer coil production. The machine comprises a base plate, a control terminal and a winding framework. The surface of the base plate is sequentially provided with a feeding mechanism, a rotating mechanism and a winding mechanism in the horizontal direction. The feeding mechanism is provided with a horizontal moving carrying mechanism above. The winding mechanism is provided with a rubber belt support below. The self-adaptive barrier wall rubber belt with heat expansion compensation and magnetic field response characteristics is manufactured. The modified magnetorheological layer carbonyl iron powder is driven to directional arrangement by the magnetic field of the permanent magnet column during the rubber coating rotation. The penetration force of the pressure-sensitive adhesive to the coil gap is enhanced. The framework is contracted when the coil is working and heated to the preset phase change temperature. The coil thermal expansion is actively compensated. The aging of the insulation paper is avoided. The chain structure is formed in the coil magnetic field through the modified magnetorheological layer. The rubber belt hardness is improved to resist vibration impact. The heat conduction network is constructed to improve the heat dissipation efficiency.

The utility model provides power transformer winding and power transformer. Power transformer winding includes: coil cylinder body, is formed by coil cake, forms radial cooling oil channel between adjacent coil cake, inner cylinder body is formed with the inner layer cooling oil channel between coil cylinder body, and outer cylinder body is formed with the outer layer cooling oil channel between coil cylinder body, power transformer winding still includes: a plurality of support strip, is fixed to the inner circumferential surface and outer circumferential surface of coil cylinder body, and support strip has support strip connecting portion, and oil baffle ring is arranged in the inner layer cooling oil channel and / or outer layer cooling oil channel, and oil baffle ring makes the cooling oil flowing in the inner layer cooling oil channel and / or outer layer cooling oil channel change direction and flow to radial cooling oil channel, and oil baffle ring has oil baffle ring connecting portion, and oil baffle ring and support strip are fixedly connected together through the connection between oil baffle ring connecting portion and support strip connecting portion. The oil baffle ring of power transformer winding is convenient to install and improves the effect of partial oil flow resistance of winding.

This invention relates to the field of power transformer technology, specifically to a power transformer winding insulation protection device and assembly method integrating temperature sensing monitoring. The device includes a housing with a protection assembly located in the middle of the housing wall. The protection assembly includes a fixed tube and a piston plate. A movable plate is connected inside the fixed tube, and the movable plate and piston plate are connected by several springs. An adjusting rod is connected inside the fixed tube. The top of the housing has an exhaust structure, including two symmetrically fixed air pipes on the left and right sides of the top of the housing. Air pipe caps are hinged to the bottom of the air pipes, and a float is fixed to the center of the bottom surface of the air pipe caps to control their rotation and closure. The air pipe caps and piston plates are connected by a cable. By incorporating the protection assembly, when an electric arc is generated, the piston plate slides forward, allowing insulating oil to flow out and release pressure. The exhaust structure, while the piston plate moves to release pressure, simultaneously opens the air pipes to discharge gas, further relieving pressure and ensuring the safe operation of the transformer.

The application discloses a kind of power transformer winding deformation diagnosis positioning method and system, transformer adopts work type optical fiber magnetic field sensor to the winding leakage magnetic field signal collection, the work type optical fiber magnetic field sensor is installed on the insulation pad between transformer winding turns;According to the leakage magnetic field situation that the work type optical fiber magnetic field sensor is continuously monitored, the winding deformation fault is diagnosed;Based on the diagnosis result of the winding deformation fault, the positioning of the winding deformation fault position is realized by establishing fitting curve expression.This application can be aimed at the problem that the accuracy of existing transformer winding deformation monitoring method is not high, and on-line monitoring technology is not mature, by using work type optical fiber magnetic field sensor and setting on the insulation pad between winding turns, the radial and axial leakage magnetic component near transformer winding is measured, the winding state of transformer can be accurately judged, and the accurate diagnosis of winding deformation fault is realized.

The application discloses a power transformer winding fault detection method based on vibration spectrum analysis and relates to the technical field of power equipment detection, which comprises the following steps: collecting original vibration acceleration signals of a transformer and preprocessing the original vibration acceleration signals to form a signal frame sequence; applying an improved Hilbert-Huang transform to each signal frame to obtain a set of intrinsic mode functions, calculating a component instantaneous frequency sequence and extracting a frequency band with an energy proportion exceeding a preset threshold as a candidate fault characteristic frequency band; extracting a subband signal of each frequency band and calculating a high-order statistical quantity feature matrix; loading a health state reference feature matrix matched with a transformer model, capacity and voltage grade; comparing the two in an element-by-element manner to identify an abnormal feature submatrix; spatially clustering the abnormal feature submatrix to form a suspected fault mode cluster; and outputting a specific winding fault mode diagnosis result. The method can accurately extract fault characteristics and improve the accuracy and reliability of fault detection.

The application discloses an oscillation wave detection-based extra-high voltage power transformer winding fault simulation device and diagnosis method. Firstly, the test transformer winding is tested, the transformer winding connection point is connected with a high-frequency high-voltage switch and a high-frequency high-voltage direct current power supply, the high-frequency high-voltage switch is periodically actuated, thereby exciting the extra-high voltage transformer body structure vibration; according to the test data, an ITD transformation is adopted to establish a signal model X t ; then, an empirical mode decomposition (EMD) method is adopted to decompose the signal into a sum of a plurality of mutually orthogonal intrinsic mode function (IMF) components, a Hilbert transformation is performed on each IMF component to obtain an instantaneous frequency and an instantaneous amplitude, thereby obtaining a Hilbert spectrum of the signal to perform decomposition and reconstruction, improve the signal-to-noise ratio, calculate I(X,Y) to judge and remove most of the redundant noise and interference signals; further reconstruct the required signal, after the EMD decomposition of the non-steady-state signal, the mutual information is utilized to screen the obtained IMF components of each order, and a new x(t) is obtained. Finally, the winding vibration signal after the simulation deformation fault is solved through a signal sequence sample entropy calculation formula, and the winding deformation fault severity is judged, and the transformer fault degree is identified.

A power transformer external short-circuit winding axial stability rapid judgment method, system, medium and equipment. In the method, a power transformer winding axial vibration calculation model is established; by changing the short-circuit current amplitude, the characteristic value of the stress-strain curve of the cushion block and the pre-tightening force, the critical condition of the separation of the line pie and the cushion block of the winding is obtained, and the three-dimensional atlas of the critical state of the vibration separation of the line pie-cushion block is drawn. An axial stability analysis system of the power transformer under the external short-circuit impact in the running state is constructed, the above method corresponding calculation instruction is run by the local deployment computer, the short-circuit current peak value is extracted according to the current recording wave graph under the external short-circuit fault of the power transformer, and the fault point is determined in the three-dimensional atlas according to the actual pre-tightening force of the winding and the stress-strain curve of the cushion block. According to the relative relationship between the fault point and the critical state interface, the axial stability of the external short-circuit winding is rapidly judged.

This application discloses a method for dynamic mapping of the temperature field of a power transformer winding based on digital twins. The method includes: establishing a transformer winding thermal network model; collecting load power, ambient temperature, and cooling system operating mode within a preset time window to form an operating state sequence; and extracting path feature vectors using a sequence encoder; combining the current temperature measurements at each temperature measuring point with an oil flow inversion neural network to obtain estimated oil flow rates for each oil flow channel; and then substituting the estimated oil flow rates into the thermal network state equation for solution to obtain the temperature values ​​of each temperature node, and determining the winding hotspot temperature and location. This invention enables dynamic mapping of the internal temperature field of the winding, improving the accuracy of hotspot monitoring.

The present application relates to the technical field of mechanical property test of power transformer winding material, and particularly relates to a transformer winding mechanical strength evaluation method under reclosing conditions, which comprises the following steps: obtaining and preprocessing historical operation data, finite element simulation data and laboratory simulation test data; deploying micro foil strain gauges, MEMS acceleration sensors and flexible piezoresistive sensors based on the preprocessed data, and synchronously collecting radial strain, axial acceleration and pad pressure data; after noise filtering, time alignment and feature extraction, the multi-directional deformation synergistic influence is analyzed through Pearson correlation coefficient, partial least squares regression and other methods; and the evaluation model is trained in combination with historical damage samples, and the mechanical strength degradation grade is output in real time. The present application solves the problems of synchronous collection and correlation analysis of multi-directional deformation data under reclosing impact, and realizes accurate evaluation of overall mechanical strength change caused by cumulative deformation.

The application discloses a kind of based on vibration method's electric power transformer winding compound fault implementation device and diagnostic method, first to test transformer winding, transformer winding connection point is connected with high-frequency high-voltage switch, high-frequency high-voltage DC power supply, high-frequency high-voltage switch unfolds periodic action, to stimulate electric power transformer ontology structure vibration;High-speed camera is used to shoot electric power transformer tank wall vibration, and vibration signal is extracted using normalization cross-correlation template matching algorithm;Then through synchronous extraction change establishes time-frequency mapping function to remove noise interference, reconstructs analysis to signal x0 (t), then modulates vibration signal, establishes frequency spectrum model X (f, φ), obtains the frequency amplitude sequence and A s (f) and corresponding frequency phase sequence are used to calculate the energy distribution of different modulation sub-bands using weighted time-frequency variational modal enhancement algorithm frequency amplitude sequence adaptive band segmentation;Finally, the transformation law under winding compound fault operating condition and normal operating condition is calculated respectively by defined function phase entropy Ψ (r) and amplitude-frequency energy function H (f), so as to judge the fault degree of electric power transformer winding.

The invention provides a power transformer winding lightning impulse partial discharge simulation method, device, equipment and medium, and relates to the field of electrical equipment and measurement, and the method comprises the steps: building a finite element simulation model of a target transformer, the finite element simulation model comprises a winding, an iron core, an insulating plate and transformer oil; a lightning impulse voltage waveform is applied to the finite element simulation model, electric field intensity distribution data and equivalent parameters are obtained, and the equivalent parameters comprise equivalent capacitance parameters and equivalent inductance parameters; using the electric field intensity distribution data and the equivalent parameters to carry out an alternating current and direct current superposition impulse voltage test to obtain discharge data; and optimizing parameters of the finite element simulation model by using the discharge data. Thus, through simulation guidance test design (field intensity distribution-test electrode design) and test verification of a simulation result, the simulation result and the test design are mutually verified, and the accuracy is improved.

The invention discloses an anti-aging performance evaluation method and system for a transformer winding wire and a storage medium, and relates to the technical field of power transformers. The evaluation method comprises the following steps: acquiring transformer winding wire samples with different aging durations; measuring a plurality of performance indexes of the samples with different aging durations; fitting the performance index measurement data, and calculating the relative attenuation rate and the performance retention rate of each performance index; setting the contribution weight of each performance index to the performance of the transformer winding wire, and calculating the comprehensive relative attenuation rate and the comprehensive performance retention rate of the sample; and evaluating the aging resistance of the sample according to the comprehensive relative attenuation rate and the comprehensive performance retention rate. The standard evaluation method with high comparability is provided for research and development, product shaping and engineering application of the novel conductor material of the transformer winding, and a scientific evaluation system is constructed for reliability verification, service life estimation, operation and maintenance and the like of the novel conductor material in the application of the power transformer winding.

The invention discloses a power transformer winding fault detection method based on vibration spectrum analysis, and relates to the technical field of power equipment detection, and the method comprises the steps: collecting an original vibration acceleration signal of a transformer, and carrying out the preprocessing to form a signal frame sequence; applying improved Hilbert-Huang transform to each signal frame to obtain an intrinsic mode function set, calculating an instantaneous frequency sequence of each component, and extracting a frequency band with an energy ratio exceeding a preset threshold value as a candidate fault characteristic frequency band; sub-band signals of all frequency bands are extracted, a high-order statistic characteristic matrix is calculated, and a health state reference characteristic matrix matched with the type, capacity and voltage grade of the transformer is loaded; and comparing the two elements one by one to identify an abnormal feature sub-matrix, performing spatial clustering on the abnormal feature sub-matrix to form a suspected fault mode cluster, and outputting a specific winding fault mode diagnosis result. According to the method, fault features can be accurately extracted, and the accuracy and reliability of fault detection are improved.

A device for diagnosing and locating deformation of a power transformer winding based on pressure monitoring, comprising a winding (1) formed by winding a coil around an iron core (5), wherein a plurality of sensor modules (6) are mounted at intervals in the winding length direction of the coil, and each sensor module (6) is wrapped around the coil in the circumferential direction of the cross-section of the coil; and each sensor module (6) wrapped around the coil comprises inter-turn pressure sensors (3) disposed oppositely and interlayer pressure sensors (2) disposed oppositely, the inter-turn pressure sensors (3) are attached to the corresponding coil surface in a horizontal state in the axial direction of the iron core (5), and the interlayer pressure sensors (2) are attached to the corresponding coil surface in a vertical state in the radial direction of the iron core (5). Thus, a three-dimensional radar chart of pressure value distribution on the winding (1) can be formed from feedback values of the sensor modules (6).

The application relates to the general power transformer winding fault diagnosis technical field, in particular to a transformer winding fault diagnosis method based on a group delay residual network, which comprises the following steps: after injecting a sweep signal into one end of a transformer winding, measuring a response signal output from the other end, and obtaining a phase frequency response according to the measurement result; performing unwinding processing on the phase frequency response to obtain unwound phase frequency response; constructing a discrete Gaussian smoothing filter; performing noise filtering processing on the unwound phase frequency response by using the discrete Gaussian smoothing filter to obtain denoised phase frequency response; performing derivation processing on the diagonal frequency of the denoised phase frequency response to obtain a group delay spectrum; inputting the group delay spectrum into a one-dimensional residual network for feature extraction and classification to obtain a fault diagnosis result of the transformer winding to be measured.

The application discloses a kind of auxiliary devices for measuring the temperature of power transformer winding, comprising: shell, the shell includes the shell body with a plurality of openings in top surface and the shell cover hinged with the shell body, power supply is provided in the shell, and the shell cover is used to cover the opening;The opening is respectively placed with DC power supply adjusting module, power output, resistance regulator and device total switch;The power output is used to output the DC power of preset DC voltage interval and the AC power of preset AC voltage interval to the connected calibration transformer winding temperature table;The DC power supply adjusting module is used to adjust and display the output voltage value and output current value of the DC power supply;The resistance regulator is used to adjust the size of resistance output AC current.The existing transformer temperature table calibration work is limited by the volume and weight of the calibration device, thereby improving the efficiency of transformer temperature table calibration.