580 results about "Transformer windings" patented technology

The invention relates to the technical field of power transformer state monitoring, and discloses a main transformer winding temperature rise on-line monitoring method and system, and the method comprises the steps: obtaining the calibration flight time of ultrasonic waves through an acoustic sensor array disposed on the outer wall of an oil tank in a quasi-isothermal state of a transformer; calculating a structure additional time delay which is caused by an internal fixed structure and does not change along with the temperature, and establishing an acoustic fingerprint for the transformer; during on-line monitoring, oil way net propagation time reflecting temperature change of the insulating oil is obtained from on-line flight time measured in real time; and then, based on the net propagation time of the oil way, an acoustic tomography algorithm is adopted to reconstruct internal two-dimensional or three-dimensional temperature field distribution, and the winding hot-spot temperature is finally and accurately calculated in combination with the real-time load current. According to the invention, through the acoustic fingerprint correction technology, the measurement interference of an internal fixed structure is eliminated, and non-intrusive, high-precision and visual online monitoring of the winding hot-spot temperature is realized.

The invention provides a forward-flyback full-circulation path high-capacity efficient equalization topology and a control method, and relates to the technical field of battery equalization management, and the method comprises the steps that only one multi-winding transformer is needed, and each battery pack corresponds to one transformer winding; the number of primary windings of the transformers is not increased along with the increase of the number of the batteries, and the number of the transformers is not increased along with the increase of the number of the battery packs; adjacent batteries share one pair of MOSFETs, so that nearly 50% of MOSFETs can be reduced; in addition, the equalizer provided by the invention can realize total energy flow paths between any batteries, between any battery monomer and a battery pack, between any battery packs and between any battery pack and the whole energy storage system, and can be flexibly applied to various conditions. Compared with an existing equalization topology, the equalizer provided by the invention is smaller in size and lower in cost, can select and match an equalization mode, and can be applied to a large-scale energy storage system.

The invention discloses a column type distribution transformer winding abnormity detection system and detection method. The detection system comprises a frequency response detection instrument, a signal coupling assembly, an impedance matching module and a data processing module. The frequency response detection instrument is used for outputting a frequency sweep excitation signal and collecting a winding response signal; the signal coupling assembly is used for isolating power frequency voltage and filtering low-frequency interference; the impedance matching module is used for adjusting output impedance and input impedance to realize matching with electrical characteristics of different windings; and the data processing module is used for constructing an equivalent detection loop model, completing frequency response simulation calculation and carrying out frequency domain analysis and anomaly identification on an actually measured response curve. According to the invention, electrified state diagnosis of distribution transformer winding structure abnormity (such as deformation and loosening) can be realized.

The present invention relates to the technical field of transformer fault detection. Disclosed is a transformer early fault diagnosis method based on the difference between virtual and actual winding leakage magnetic field waveforms, comprising: collecting leakage magnetic field information of a non-ideal winding structure transformer by means of fiber-optic magnetic field sensors; decomposing a winding of the non-ideal winding structure transformer into a plurality of regular windings; superposing leakage magnetic fields at the ends of a plurality of regular windings to obtain a non-ideal winding end leakage magnetic field; calculating a leakage flux matrix leakage inductance parameter and a leakage magnetic field output matrix parameter on the basis of the non-ideal winding end leakage magnetic field; establishing a circuit-leakage magnetic field multi-state digital model corresponding to the transformer; and using the difference between an actual transformer leakage magnetic field waveform and a digital transformer model virtual leakage magnetic field waveform as a fault characteristic quantity, completing threshold calculation and early fault sensitivity verification, forming a waveform difference-based early fault diagnosis criterion, and determining a fault position. The present invention can achieve quick and sensitive diagnosis of early faults of transformer windings and improves device operating reliability.

The invention provides an optimized winding method and system for a high-frequency transformer winding. A comprehensive parameter database based on current density distribution data of a high-frequency switching power supply is established, the axial temperature of a winding layer is collected in real time in combination with a self-calibration multi-axis winding device, and tension and interlayer gap compensation parameters are generated through temperature gradient feedback. The tension parameter drives the machine to adjust the winding tightness, and the gap parameter optimizes the heat dissipation channel. And synchronously fusing the current distortion data of the LLC resonant topology and an electromagnetic field simulation result, and generating a resonant frequency adjustment signal to suppress abnormal high-frequency current distribution. And dynamic matching of winding tightness, current distribution and heat dissipation requirements is realized through cooperative control. According to the system, electromagnetic, mechanical and thermal field multi-dimensional linkage is adopted, the skin effect and hot spot concentration are reduced, the temperature rise gradient is balanced, and the high-frequency working condition stability is enhanced. According to the technical scheme, through electromagnetic, mechanical and thermal field cooperative regulation and control, the temperature rise peak value of the high-frequency winding is greatly reduced, and the efficiency is greatly improved.

The invention belongs to the technical field of transformers, and particularly relates to a transformer winding deformation accumulation evaluation system and method, and the system comprises a data collection module, a damage calculation module, a self-adaptive correction module and an early warning output module. Wherein the data acquisition module is used for acquiring an input signal of transformer winding deformation and preprocessing the input signal; the damage calculation module is used for performing real-time calculation on the input signal after the budgeting; the self-adaptive correction module is used for dynamically correcting the real-time calculation result of the input signal after the budgeting and calculating a damage value caused by short-circuit current impact in real time; and the early warning output module is used for carrying out early warning on the dynamically corrected deformation degree of the transformer winding and providing decision support. The accumulated deformation degree of the transformer winding can be accurately evaluated, maintenance can be carried out in time, transformer damage accidents are effectively avoided, and the method is suitable for health state on-line monitoring of power transformers, converter transformers and high-frequency switching power supply transformers.

The embodiment of the invention discloses a transformer winding overheating fault diagnosis method, and relates to the technical field of power equipment state monitoring, and the method comprises the steps: building a temperature field model of a target transformer under a normal working condition and a plurality of preset winding overheating fault working conditions through a finite element simulation method, and obtaining a temperature field model of the target transformer based on a simulation result; calculating to obtain a group of fault temperature rise critical values corresponding to the positions of the winding sections; when the transformer runs on line, actual measurement temperature rise data of a plurality of positions on the surface of a box body of the transformer are obtained, and the actual measurement temperature rise data are compared with a fault temperature rise critical value so as to locate a winding section where an overheating fault occurs; for the fault section, solving an actual overheating temperature rise value of the fault section through an inversion calculation method by utilizing a preset transformer equivalent thermal circuit model and combining the actually measured top layer oil temperature and bottom layer oil temperature data; high-precision simulation is arranged offline, an efficient algorithm is used online, the diagnosis precision and efficiency are both considered, the accuracy is high, and the practicability is high.

The invention discloses a transformer winding deformation diagnosis software system based on frequency domain transfer function analysis, relates to the technical field of transformer winding deformation diagnosis, and is used for realizing accurate online diagnosis of winding deformation. The frequency response data quality control module performs fast Fourier transform and adaptive filtering on the original frequency response signal uploaded by the distributed detection terminal to generate a transfer function data set of which the signal-to-noise ratio reaches the standard; the transfer function multi-dimensional analysis module performs longitudinal deviation and transverse consistency analysis on the data set, identifies resonant frequency deviation, amplitude change and quality factor drift, and generates a deformation suspicious degree index; the deformation trend prediction module calculates a change trend slope based on a historical suspicious degree sequence and identifies a sensitive frequency band; and the fault mode identification module carries out spectrum refinement analysis on the sensitive frequency band, matches the sensitive frequency band with a typical fault feature library, and outputs a fault type and confidence evaluation. Multi-terminal synchronous monitoring, dynamic prediction and intelligent fault identification are realized, and technical support is provided for predictive maintenance of the transformer.

The invention discloses a preparation method and application of a high-thermal-conductivity polyimide-based paint film for a transformer winding, and relates to a preparation method and application of a polyimide-based paint film. The invention aims to solve the problem of poor heat-conducting property of the existing polyimide dielectric material. The method comprises the following steps: 1, preparing boron nitride nanosheet powder; 2, modifying the surface of the boron nitride nanosheet powder; 3, adding diamine and the boron nitride nanosheet subjected to surface modification into an aprotic polar solvent; 4, adding dianhydride; and 5, carrying out gradient heating to carry out imidization. The heat conductivity coefficient of the high-heat-conductivity polyimide-based paint film for the transformer winding reaches 0.35 W / (m.K) and is improved by 183% compared with that of a pure polyimide material, and meanwhile the high-heat-conductivity polyimide-based paint film has high insulation performance and is used for preparing high-heat-conductivity and high-insulation electrical insulation devices; the electrical insulation device comprises but is not limited to a high-power density motor, a transformer enameled wire and a high-frequency power transformer.

The invention provides an electrical equipment remote monitoring and fault diagnosis system based on the Internet of Things. According to the method, a multi-source heterogeneous sensor network adopts a self-adaptive acquisition strategy, an edge computing node calculates a signal entropy value in real time, when a chaotic signal is found to be abnormal, the acquisition frequency is automatically improved, Beidou grid code space labeling is started, an attention mechanism of an LSTM-CNN hybrid network is combined, power frequency interference and environmental noise are separated, a standardized vector is output, and the accuracy of the chaotic signal is improved. The problem that a traditional filtering algorithm is prone to losing fault features is solved, a cloud server constructs an equipment part fault graph model through a graph neural network, an improved message passing algorithm is used for analyzing a node coupling relation, and a three-dimensional model of equipment and a signal propagation path inverse calculation method are combined. Accurate positioning of hidden faults such as transformer winding turn-to-turn short circuit is achieved, the real-time state of equipment is dynamically mapped through the digital twin, three-dimensional visual maintenance guidance is generated through the maintenance knowledge graph on the basis of monitoring evidences, and the maintenance decision-making efficiency is remarkably improved.

A calculation method for a transformer winding considering a frequency-dependent loss, comprising: according to simulation requirements, defining key parameters calculated by using a finite-difference time-domain (FDTD) algorithm; constructing an equivalent flat wire model in an FDTD grid; calculating frequency-dependent internal impedance per unit length of a flat wire; and on the basis of a vector fitting method and a time-domain convolution calculation method, substituting the frequency-dependent internal impedance into a time-domain equation of the FDTD algorithm for updating and iterative solving, so as to obtain an electromagnetic field calculation result. In the present invention, on the basis of the vector fitting method and time-domain convolution calculation, the impact of the frequency-dependent characteristics of an electromagnetic field distributed in a conductor on an electromagnetic transient process is accurately considered during the FDTD time-domain solving, so that the calculation accuracy and efficiency of conventional FDTD algorithms and even conventional cross-scale modeling techniques can be significantly improved, thereby carrying out the targeted electromagnetic transient analysis on the reliability, safety, and predictability of transformers, and achieving the early detection of potential faults and defects, or formulating targeted maintenance plans and repair schemes.

The invention relates to the technical field of power equipment state detection, in particular to a transformer winding state detection method, system and equipment based on dynamic frequency band adaptation and a storage medium. Collecting full-band frequency response data of the healthy reference winding, and performing adaptive adjustment on a preset basic frequency band based on the peak-valley distribution density to obtain a reference target frequency band matched with the frequency spectrum characteristics of the winding; generating a reference polar coordinate feature map through a phase-amplitude mapping rule, and extracting pattern texture features to construct a reference feature library; collecting detected winding data and taking the reference target frequency band as a detection frequency band to generate a detected polar coordinate feature map; a multi-dimensional evaluation result is obtained through graph space similarity comparison and feature difference quantification in combination with amplitude anomaly recognition; and outputting a normal, slight fault or serious fault state judgment result of the tested winding based on the preset evaluation threshold interval and the working condition adaptation correction rule. The problems that in the prior art, frequency band division is fixed, and threshold values lack working condition adaptation are solved.

The invention discloses a transformer winding temperature and strain double-parameter monitoring method, system and device and a medium, and relates to the technical field of transformer monitoring, and the method comprises the steps: arranging a temperature sensing unit and a strain sensing unit on an optical fiber; a first reflection spectrum signal and a second reflection spectrum signal of the transformer winding are obtained and demodulated, and a first temperature signal of the transformer winding and a mixed signal containing a second strain signal and a second temperature signal are obtained; and taking the first temperature signal as compensation, and decoupling the mixed signal to obtain a second strain signal of the transformer winding. The fiber bragg grating technology is adopted, a plurality of sensors are inscribed on one optical fiber, synchronous measurement of temperature and strain is achieved, and strain data are compensated through winding temperature changes. According to the invention, the defects that only a single physical quantity can be monitored and the strain measurement accuracy is influenced by the temperature in the prior art are overcome, and accurate, convenient and efficient monitoring of the temperature strain of the transformer winding is realized in combination with online monitoring software.

The invention relates to the field of battery management systems, and particularly discloses a battery equalization-alternating current self-heating integrated topology based on electromagnetic induction and a control method, the topology comprises a battery pack, a switch array, a multi-winding transformer, a signal acquisition and processing module, a control unit and a driving circuit, energy balance in the battery modules and among the modules is realized through the multi-winding transformer, and the same transformer winding is utilized to generate alternating current at low frequency to realize self-heating of the battery; the control method is based on battery voltage and temperature information, balancing and heating modes are dynamically switched, and flexible control over the heating rate and the balancing speed is achieved by adjusting PWM parameters. The system is high in integration level, does not need an external power supply, is high in expansibility, and is suitable for efficient thermal management and state equalization of various lithium ion battery systems in a low-temperature environment.

The invention provides an ultrasonic de-noising method and system based on an SGF-ASO optimization algorithm, and belongs to the technical field of electrical equipment state monitoring and fault diagnosis, and the method comprises the steps: collecting and preprocessing an ultrasonic echo signal of a transformer winding; sGF analysis is carried out on the preprocessed ultrasonic echo signal, a multi-scale frequency spectrum is generated, spatial gradient features are extracted, and a fusion frequency spectrum gradient map is generated through cross-scale fusion; constructing an oil temperature adaptive ASO constraint model to carry out adaptive sparse optimization on the multi-scale frequency spectrum; and performing inverse short-time Fourier transform on each scale frequency spectrum in the optimized multi-scale frequency spectrum to obtain a multi-scale time domain signal set, and fusing the time domain signal set to output a de-noised ultrasonic echo signal. According to the invention, the structure retention capability of ultrasonic signals in a high-temperature complex environment is enhanced, and high-fidelity noise reduction and oil temperature adaptive processing are realized through a multi-scale gradient guided sparse optimization mechanism.

The invention discloses a transformer mechanical fault diagnosis method and device and a storage medium, and belongs to the technical field of deep learning, and the method comprises the steps: obtaining a to-be-diagnosed vibration signal of the surface of a transformer box body, and obtaining a corresponding to-be-diagnosed mode component; inputting the modal component to be diagnosed into a pre-trained fault diagnosis model to obtain a fault diagnosis result; the fault diagnosis model training method comprises the steps of obtaining a training sample set; wherein the training sample set comprises a historical modal component and a fault category label corresponding to the historical modal component; the training sample set is input into a pre-constructed fault diagnosis model, a trained fault diagnosis model is obtained, an encoding module of the fault diagnosis model carries out time-frequency domain feature extraction and time-frequency domain attention weighting on the input data to obtain time-frequency domain fusion features, and the time-frequency domain fusion features are input into the fault diagnosis model; spatial topological features are obtained through image feature extraction and image attention weighting, step-by-step feature re-calibration is carried out on time-frequency domain fusion features, and the fault diagnosis accuracy is remarkably improved.

The invention provides horizontal winding equipment for a transformer coil, which belongs to the technical field of transformer winding equipment and comprises a winding machine, a linear driving unit and a connecting unit. Wherein the connecting unit is provided with a supporting arm, one end of the supporting arm is connected to the connecting unit, the supporting arm is arranged to be capable of swinging in the direction perpendicular to a main shaft of the winding machine, the supporting arm is provided with a belt wheel set, the belt wheel set is connected with a rubber belt, and the rotating direction of the rubber belt is consistent with the winding direction. And the rubber belt can be pulled by the linear driving unit and moves along with a wire arranging path. By arranging the rubber belt capable of synchronously moving along with winding, during winding, the side face of the rubber belt exerts certain pressure on the side face of the coil, winding is tighter, the contact area of the rubber belt and the side face of the coil is large, pressure can be evenly exerted on the side face of the coil in the winding state, and the winding efficiency is improved. And insulation layer damage caused by pressure concentration is avoided.

The invention belongs to the technical field of transformer manufacturing, and particularly relates to a high-frequency transformer winding intelligent monitoring control system, which is characterized in that an acoustic emission energy data set is constructed by binding high-frequency stress wave signals and winding point space coordinates, a pressure gradient vector of each winding point is determined through two-dimensional interpolation processing and gradient field calculation, and the pressure gradient vector of each winding point is calculated; based on a pressure gradient vector change trend, identifying a pressure non-uniform point and a non-uniform evolution type thereof, matching a corresponding feedforward fine tuning action from a preset strategy library in combination with a relative phase of the pressure non-uniform point in a winding path, and performing active suppression before microdefects are solidified, and an intelligent decision-making mechanism deeply associated with the defect physical type and the process context is provided, acoustic emission signals of subsequent winding points are continuously monitored after the fine tuning action is executed, and the system can continuously accumulate process knowledge through effect evaluation and adaptive optimization of a strategy library, so that the winding control precision is favorably improved.

The invention belongs to the technical field of transformer winding temperature field rapid calculation, and discloses a transformer winding heat flow field calculation method and a related device, working condition data of a transformer winding are obtained, and the working condition data comprise winding current, winding inlet flow velocity and inlet temperature; the working condition data are processed through a trained neural network model, corresponding key physical quantity information of the transformer winding under the working condition data is obtained, and the key physical quantity information comprises temperature distribution of the transformer winding, an oil flow velocity radial component, an oil flow velocity axial component and oil flow internal pressure. The method can meet the requirement for real scene online calculation of the temperature field of the power equipment of the transformer substation, has important application value for state early warning and reliability evaluation of the transformer, and solves the problems that current mainstream multi-physics field numerical calculation software is low in calculation efficiency and difficult to provide technical support for multi-physics field online real scene display of the power equipment.

The invention relates to the technical field of transformer winding fault detection, in particular to a preventive maintenance method and device for transformer winding faults. The method comprises the following steps: acquiring current signals of a three-phase winding of a transformer and vibration acceleration signals in different directions; obtaining an excitation-response spectrum matrix based on the current signal and the vibration acceleration signal, and constructing a health state vibration mode base; projecting the excitation-response spectrum matrix to a health state vibration mode base to obtain a vibration mode contribution coefficient vector; constructing a frequency-mode association graph structure according to similar conditions of different frequencies in a health state vibration mode base at the initial stage of equipment commissioning; endowing nodes of the graph structure with features to obtain winding structure state feature vectors, and establishing a reference database of each temperature interval; and matching the winding structure state feature vector and the vibration mode contribution coefficient vector in the current time period with a reference database, and determining a fault reason. According to the invention, the timeliness of transformer winding fault early warning is improved.

The invention discloses a transformer winding vibration abnormity diagnosis and early warning method based on lightweight edge calculation, and relates to the technical field of transformer monitoring. According to the method, vibration signals and magnetic flux signals of a transformer winding are collected in real time at edge nodes, and a basic data set is obtained after preprocessing; vibration and magnetic flux features are extracted to construct a basic diagnosis feature vector, a three-dimensional tensor is constructed through directional coherence analysis, a boundary enhancement structure map is generated, and a structure enhancement fusion feature vector is formed after fusion. The method comprises the following steps of: realizing abnormal grade and trend prediction by a lightweight Transform diagnosis model based on knowledge distillation and parameter compression optimization, and triggering model adaptive updating by combining risk index modeling and a dynamic risk threshold value. And finally, calculating an abnormal level posterior probability through a Bayesian updating rule, and outputting multi-level early warning. The method has the advantages of high precision, low calculation overhead and self-adaptive capability, and is suitable for online monitoring and intelligent operation and maintenance of the state of the transformer.

A pumped storage unit main transformer winding inter-turn short circuit fault diagnosis positioning method and system, comprising: pulse injection is carried out on the main transformer of the pumped storage unit in the shutdown state, and the voltage response waveform is obtained; the characteristic waveform is calculated, the different connection modes of the pumped storage unit main transformer winding are combined, whether the pumped storage unit main transformer winding exists fault and the fault phase are judged; the VMD decomposition optimization model and the NTEO wave head extraction optimization model with optimal parameters are constructed, and the instantaneous energy spectrum is obtained based on the model and any characteristic phase containing characteristic phase; the fault positioning formula is constructed based on the instantaneous energy spectrum, the fault positioning formula corresponding to the relationship between the characteristic phase and the fault phase in the voltage response waveform is selected according to the relationship between the characteristic phase and the fault phase, and the positioning of the fault coil is obtained. The method has high reliability, high fault diagnosis accuracy and small positioning result error, and can meet the needs of pumped storage unit main transformer winding inter-turn short circuit fault diagnosis and positioning in engineering.

The invention provides a wireless transformer winding temperature sensor, and belongs to the technical field of transformer temperature control equipment, the wireless transformer winding temperature sensor comprises a base, the top of the base is provided with a voltage transformation mechanism, the front side of the exterior of the voltage transformation mechanism is provided with a wire arrangement mechanism, the interior of the wire arrangement mechanism is provided with a sensing wire, and the top of the voltage transformation mechanism is provided with a clamping mechanism. According to the invention, through the arrangement of the wire arrangement mechanism, effective fixation and management of the sensing wire are realized, stable operation and accurate temperature measurement of the sensor are ensured, and the problem that a wire harness is difficult to disassemble and maintain due to the fact that the sensing wire is fixed by a conventional cable tie in the prior art is solved; according to the utility model, the sensing line probe is firmly fixed and rapidly detached, the accuracy of temperature measurement is ensured, and the problem of measurement interruption or inaccuracy caused by loosening or falling off due to infirm fixation in the prior art is solved. And the disassembly is relatively complicated, so that the maintenance efficiency is influenced.

The utility model provides transformer winding packaging equipment which comprises a base, a supporting framework is fixedly installed on the top of the base, a lifting assembly is installed in the supporting framework in a butt joint mode, an installation frame is installed at the lifting end of the lifting assembly in a butt joint mode, and a positioning assembly is fixedly installed on the installation frame. A hoisting assembly is fixedly installed at the top of the supporting framework, and a clamping assembly is installed at the hoisting end of the hoisting assembly in a butt joint mode. According to the utility model, the transformer shell can be positioned in a four-side synchronous movement manner, and the transformer shell can be synchronously folded and positioned without repeatedly correcting the assembly position when the transformer shell is placed; and the clamping state can be switched according to an actual operation object, internal and external clamping and fixing are achieved, and hoisting placement of a transformer winding and a shell is met.

The invention discloses a coaxial double-skeleton transformer winding device, and relates to the technical field of transformer manufacturing, the coaxial double-skeleton transformer winding device comprises a rotating shaft, a fixed pressing plate is arranged on the right side of the rotating shaft in an interference fit manner, a sleeve is arranged on the right side of the fixed pressing plate in an interference fit manner, and a sliding block is slidably arranged on the outer side of the sleeve; a baffle is fixedly connected to the right side of the sleeve, a connecting piece is arranged on the right side of the baffle in an interference fit mode, and a winding machine rotating shaft is arranged on the left side of the rotating shaft. A pin accurate limiting structure is formed through the first pressing groove of the fixed pressing plate and the second pressing groove of the baffle, and coaxial positioning and rigid fixing of the transformer framework are achieved through cooperation of inserting connection of the rotating shaft and an inserting hole of a winding machine rotating shaft and a locking bolt locking structure; through a threaded lead screw of the moving unit and a fixed rod transmission structure, the design that a clamping head of the clamping unit is matched with a clamping groove of a sliding block is combined, automatic and accurate adjustment of the winding width is achieved, the adjusting precision is greatly improved, and different specifications can be rapidly adapted.

The utility model relates to the technical field of dry-type transformer cooling, in particular to a drawable dry-type transformer cooling device. The drawable dry-type transformer cooling device comprises a main body unit and a maintenance mechanism, the main body unit comprises a transformer shell, and a maintenance window is formed in the transformer shell; a plurality of maintenance mechanisms are arranged; the maintenance mechanism comprises a cooling fan, a displacement base, a sliding rail and rollers; the two sliding rails are arranged in parallel, one end of each sliding rail is connected with a transformer shell, a transformer winding base is connected below the sliding rails, a displacement base is placed on the sliding rails through rollers, and a cooling fan is placed above the base. According to the device, the cooling fan is placed on the displacement base, the sliding rail is installed below the displacement base, after the overhauling window is opened, the displacement base is pulled out, and the cooling fan can be taken out under the condition that the cooling fan does not enter a transformer shell, so that overhauling or replacement is achieved, operators can be prevented from getting close to electrified parts, and the safety of the operators is guaranteed.

A winding assembly for a transformer device includes a first and second coil with a plurality of windings, and a first set and a second set of thermally conductive plates. The first and second coils include a plurality of interleaved sets of turns. The plates of the first and second sets of the thermally conductive plates are interleaved with the sets of turns of the first and second coils respectively, and are disposed adjacent to one of the sets of turns of the first and second coils respectively, to transfer heat away from the coils. The first and second coils and the first and second sets of thermally conductive plates are encased in the resin dielectric material.

The invention provides a transformer winding and rubber coating all-in-one machine. The transformer winding and rubber coating all-in-one machine comprises a material taking and winding mechanism, a wire output mechanism, an auxiliary winding mechanism and a rubber belt conveying mechanism. The material taking and winding mechanism comprises a driving assembly, a supporting shaft column, a material taking fixing piece and a winding rod. The supporting shaft column is arranged on the driving assembly, the material taking fixing piece is used for clamping a transformer framework, and the winding rod is connected with the supporting shaft column; the wire output mechanism is used for conveying wires, and the wire end clamping piece is used for clamping the ends of the wires. The moving element drives the wire end clamping piece and the abutting plate to move, so that the wire end clamping piece clamps the end part of the wire rod into the wire clamping groove and winds the end part of the wire rod on the winding rod, and the abutting plate presses the tail section of the coil into the wire clamping groove; the adhesive tape conveying mechanism is used for conveying an adhesive tape, the material taking and winding mechanism enables a wire to be wound on a transformer framework to form a coil, and the adhesive tape is wound on the surface of the coil. The situation that the head section and the tail section of the coil are easily wound in the coil and the adhesive tape can be improved.

The invention discloses an oil-immersed transformer winding temperature controller verification device, method, equipment and medium, and relates to the technical field of electrical equipment testing, the device comprises an intelligent current source module, a signal acquisition module, a central processing module and a man-machine interaction module; a programmable alternating current signal is generated through the intelligent current source module, and the dynamic load working condition of the transformer from no load to full load can be continuously simulated, so that a winding temperature rise curve is completely reproduced, and the defect that a traditional fixed point test cannot detect a nonlinear temperature rise error is overcome; a signal acquisition module is used for synchronously acquiring the current of a heating resistor, a 4-20mA temperature signal and the state of a microswitch, and dynamic current control and a temperature-current correlation analysis algorithm of a central processing module are combined; the automatic and accurate measurement and judgment of the temperature controller potentiometer calibration precision, the winding temperature indicating value error and the microswitch operating value are realized.

The application relates to a natural ester transformer winding structure, comprising a winding wire cake, further comprising: a shielding section arranged at the head end of the winding wire cake; and a large oil channel arranged at the head end and the tail end of the winding, the thickness of the large oil channel being larger than that of a basic oil channel in the winding. The above scheme provided by the application increases the longitudinal capacitance of the winding, the longitudinal capacitance can compensate the ground capacitance current of the winding, the impulse voltage distribution of the winding is more uniform, the impulse overvoltage capacity of the transformer is higher, if the shielding section is not used, the impulse voltage mostly falls on the head end of the winding, which is very harmful to the insulation of the head end of the winding, meanwhile, the arrangement of the large oil channel reduces the hot spot temperature rise of the winding end, improves the average temperature rise of the whole winding, ensures that the temperature rise of the transformer winding is more uniform, and further improves the reliability of the transformer during operation.