43 results about "Transformer types" patented technology

The invention belongs to the technical field of transformer automatic disassembly, and provides a transformer automatic disassembly method and system.The method comprises the steps that candidate positions of bolts are determined in a preset list including transformer types through segmented images, and bolt position detection is carried out in an RGB image through a preset bolt position detection model; comparing the detected bolt position with a candidate position, correcting the bolt position, and determining a three-dimensional coordinate of the bolt in a preset three-dimensional model by using the corrected bolt position; according to the method, the bolt position of the transformer of the corresponding model is directly called from the preset list, and the bolt position is corrected by comparing the detected bolt position with the candidate position, so that on the basis of ensuring the accuracy of the bolt position, the acquisition and updating of excessive data in the processes of judgment, correction and the like are avoided, and the accuracy of the bolt position is improved. And the influence on the control speed and efficiency is reduced.

The invention relates to the technical field of microelectronics, semiconductors and communication, and discloses a radio frequency switch chip, and the circuit structure of the radio frequency switch chip comprises a transformer type differential inductor T-L1, a transformer type differential inductor T-L2, a capacitor C1, an NMOS transistor M1, an NMOS transistor M2, a gate resistor RG1, and a gate resistor RG2. The radio frequency switch chip provided by the invention adopts a differential structure, so that the parasitic inductance effect of a grounding key and a wire during packaging and testing can be eliminated, and the insertion loss and the isolation performance are improved; compared with a single-end port, the lower impedance of the differential port is more beneficial to improving the power capacity of the switch; the differential structure allows the transformer type differential inductor to use differential signal characteristics, the equivalent quality factor of the inductor is improved, and the circuit performance is improved; the differential structure can improve the linearity of the circuit, especially the second-order intermodulation effect; the differential structure can be compatible with a modern silicon-based CMOS radio frequency system, and an additional balun is not needed for signal conversion.

The invention belongs to the technical field of disaster prevention and reduction of a power system, and relates to a transformer fire risk detection method and device and a readable storage medium. Obtaining characteristic parameters of each part in the transformer, combustion thermodynamic characteristic parameters of combustibles in the transformer and load data of each part of the transformer under the combustion mechanical characteristic parameters of the combustibles based on the transformer type and the voltage grade; constructing a transformer three-dimensional model based on the operation parameters and the characteristic parameters of each component in the transformer, and meshing the transformer three-dimensional model to obtain a transformer three-dimensional grid model; performing dynamic simulation on the three-dimensional grid model of the transformer based on the load data of each part of the transformer under the combustion mechanical characteristic parameters of the combustible, and outputting a fire risk index of each part in the transformer; and calculating a to-be-detected transformer fire risk index based on the fire risk index of each component and the fire risk propagation coefficient among the components.

The invention provides an extra-high voltage transformer temperature field rapid calculation method, which comprises the steps of determining an input characteristic quantity according to a flow thermal coupling principle and a transformer type, establishing a simulation model, solving an equation set by utilizing a finite volume method to obtain an output characteristic quantity, carrying out normalization processing on the output characteristic quantity, forming a sample set through point cloud processing, and calculating the temperature field of an extra-high voltage transformer. The method comprises the following steps: randomly dividing into a training set and a test set, constructing a U-net + + neural network, taking a mean square error as a loss function, carrying out grouping test on key hyper-parameters, determining an optimal combination, inputting the constructed training set into the U-net + + neural network for iterative training, and carrying out supervised learning by taking an output characteristic quantity as label data. And when the calculation precision meets the requirement, obtaining an optimal model, and carrying out validity verification on the optimal model by utilizing a new working condition in the test set. According to the method, the calculation efficiency is improved, equipment can be protected from interference, and the safety and reliability of data are ensured.

The low-frequency electromagnetic wave has the characteristics of high penetrability and low signal attenuation, and can be widely applied to the fields of underground communication, underwater communication and the like. Most existing low-frequency transmitting antennas are electrically small antennas, have the problems of large size, complex equipment, short transmission distance and the like, and are difficult to meet actual requirements. The invention relates to a high-power pulse low-frequency antenna based on a Tesla coil. The high-power pulse low-frequency antenna is a high-power pulse transmitting antenna composed of a solid-state double-resonance Tesla circuit, a transformer, a primary coil and a secondary coil. The antenna adopts a high-voltage pulse generated by a Tesla circuit for feeding, and meanwhile, a transformer type impedance matching network is combined, so that the feed power is maximized. The radiation coil selects a primary and secondary nested coupling structure, the working frequency is accurately adjusted to be the output frequency of the Tesla circuit by respectively connecting resonant capacitors in series to the primary and secondary coils, and effective amplification of radiation signals is realized based on a magnetic coupling effect. The size of the coil is in the sub-cubic meter level and is within one thousandth of the working wavelength. Aiming at the antenna design difficulty in long-wave communication, the antenna has the advantages of high input power, long-distance transmission and small physical size, and has potential application value in the fields of cross-medium communication, emergency management communication and the like.

The invention discloses a transformer monitoring method based on fusion of a mechanism model and a data model, relates to the technical field of fault identification, and solves the problems of single monitoring dimension, insufficient data fusion and poor adaptability to a complex operation environment due to dependence on a single monitoring means or a simple data processing method in the prior art. The mechanism model established by the invention provides a physical background and an interpretation basis for the fusion model, so that the fault diagnosis result is more interpretable. When a fault is diagnosed by the fusion model, the reason of the fault can be analyzed through the mechanism model, for example, insulation aging is caused by winding hot-spot temperature rise, and then an overheating fault is generated. In addition, the introduction of the data model enhances the adaptability of the fusion model to different operating environments and transformer types. Different transformer winding structures and operation conditions may have differences, and the data model can learn the differences, so that the fusion model can better adapt to various conditions, and the generalization ability of fault diagnosis is improved.

The invention discloses a transformer oil temperature prediction method and device based on actual operation data, and relates to the technical field of electric power system operation and inspection. The method comprises the steps of obtaining actual operation data of a transformer; dividing the actual operation data into different transformer types according to the operation voltage grade and the cooling mode of the transformer; the actual operation data are preprocessed, missing values are filled, and abnormal values are eliminated; constructing an integrated learning model, and training the integrated learning model through the actual operation data of the same transformer type to obtain an oil temperature prediction model of each transformer type; and predicting the oil temperature of each type of transformer through the oil temperature prediction model of each type of transformer. The integrated learning model is used as a prediction model, different models are used for capturing different features in data, and the generalization ability and prediction precision of the models are improved.

The invention discloses a method and a system for designing parameters of a cross-voltage-level active damping device for suppressing system resonance. The method comprises the following steps of: collecting resonance system parameters, determining a resonance frequency band range of a system according to a system impedance model, determining a resonance frequency and a corresponding initial harmonic voltage content ratio, and setting a target harmonic voltage content ratio; calculating harmonic current generated by the nonlinear load, and solving a damping value of system suppression resonance; determining the capacity of the active damping device according to the equivalent harmonic impedance, the harmonic current generated by the nonlinear load and the damping value of system suppression resonance, and carrying out cross-voltage grade transformer type selection; and designing a virtual resistance-capacitance value of the active damping device according to the parameters of the selected transformer and the damping value of the system for suppressing resonance. The insulation performance requirement of the active damping device is lowered, and the equipment treatment investment and the occupied area are reduced; and the influence of the cross-voltage level on the resistance-capacitance parameters of the device is fully considered, so that the parameter design result is more accurate, and the resonance suppression effect is further enhanced.

This invention relates to a power compensation method and system based on transformer power loss, and a computer program product, belonging to the field of power compensation technology. It determines the target power loss increment compensation coefficient of the target transformer in the power station to be compensated from a pre-constructed correspondence between transformer type and power loss increment compensation coefficient. Based on the target loss increment compensation coefficient, the output power and voltage of the high-voltage side of the target transformer, a power compensation amount for compensating the power loss of the power station is obtained. The sum of the current generating power and the power compensation amount is used as the amount of generating power to be adjusted in the power station. This invention, from a principle perspective, analyzes that the real source of power loss in the power station is the transformer, using the transformer as a breakthrough point to construct a correspondence between transformer type and power loss increment compensation coefficient, thereby realizing a power compensation method that meets the needs of various operating conditions or power stations.

The application discloses a transformer adaptive closing method and device, equipment and storage medium, and relates to the technical field of transformer control. The method comprises the following steps: obtaining a winding transient voltage signal in a tripping process of a target transformer, performing numerical integration on the winding transient voltage signal, and obtaining an initial residual magnetism value of the target transformer; obtaining a core leakage flux signal of the target transformer, performing complementary calibration on the initial residual magnetism value based on the core leakage flux signal, and obtaining a dynamic residual magnetism value of the target transformer; determining a target closing time based on the dynamic residual magnetism value of the target transformer, the type of the target transformer and the type of a circuit breaker corresponding to the target transformer; and controlling the circuit breaker to close the target transformer at the target closing time. Through the above method, accurate dynamic measurement of residual magnetism is realized, the ideal closing time with the minimum core residual magnetism and post-closing magnetic flux deviation is adaptively determined according to different transformer types and circuit breaker characteristics, and the magnetic field current surge is effectively inhibited.

The application relates to the technical field of hub axle pipe detection, in particular to a device for detecting the torque rigidity of an automobile hub axle pipe unit, which comprises a mounting seat, a supporting mechanism is fixedly installed at the top of the mounting seat, a hub axle pipe unit is placed at the top end of the supporting mechanism, a positioning mechanism is installed on the outer edge of the hub axle pipe unit so as to fix the positioning mechanism on the supporting mechanism, an axial test mechanism is installed at one end of the top of the hub axle pipe unit so as to detect the axial torque rigidity value of the hub axle pipe unit, a radial test structure is installed at the other end of the top of the hub axle pipe unit so as to detect the radial torque rigidity value of the hub axle pipe unit, and a differential transformer type displacement sensor is fixedly installed at the top of the hub axle pipe unit so as to detect the inclination of the hub axle pipe unit. The application can keep the bottom of the hub axle pipe unit stable, and thus can ensure the normal detection.

To simplify an operation when measurement data of a cubicle is processed in an external computer device.SOLUTION: A measuring device is of a voltage conversion device comprising a transformer, and the measuring device comprises: a characteristic data storage unit that stores characteristic data including at least one information of a class (single phase / three phase), rated capacity, and rated secondary voltage of the transformer, winding average temperature at full load, maximum oil temperature increase at full load, loss ratio, and time constant of oil; a measurement data acquisition unit that acquires measurement data in which the operating state of the transformer is measured; a measurement data storage unit that stores an arithmetic program for generating an arithmetic result related to the measurement data on the basis of the measurement data and characteristic data, and can output the stored information to an external device; and a data writing unit that stores, in the measurement data storage unit, the acquired measurement data and the characteristic data stored in the characteristic data storage unit.SELECTED DRAWING: Figure 1

The application provides a PCB transformer, a design method, a DC / DC converter and a power module, wherein the design method comprises the following steps: determining the single-turn winding width based on the window size of a magnetic core; determining the branch winding width based on the transformer center frequency and the winding material parameters, and determining the single-turn branch number based on the single-turn winding width and the branch winding width; determining the number of single-turn branch windings of the primary side and the secondary side based on the transformer type and the single-turn branch number to determine the transverse stagger mode, and determining the longitudinal stagger mode based on the turn difference of the primary side and the secondary side; designing the branch windings of the primary side and the secondary side in parallel based on the number of single-turn branch windings of the primary side and the secondary side, and stagger designing each single-turn winding of the primary side and the secondary side based on the transverse and longitudinal stagger modes to obtain a PCB winding plate. The application solves the problems of the existing single-turn copper PCB transformer, such as being greatly affected by the skin effect and the proximity effect, and having large parasitic capacitance and leakage inductance of the primary side and the secondary side.

The utility model discloses a dual-power transformer type switching circuit and structure. The dual-power transformer type switching circuit comprises a main control circuit, an auxiliary control circuit, a first power transformation circuit, a second power transformation circuit and a control panel. A dual-power transformer type switch structure comprises a main connector, an auxiliary connector, a first cover plate assembly, a second cover plate assembly, a first power transformer, a second power transformer, a first magnetic sheet, a second magnetic sheet, a sliding plate assembly and a fixed support. According to the dual-power transformer type switching circuit and structure, a main control circuit is connected with a first power transformation circuit, an auxiliary control circuit is connected with a second power transformation circuit, when any one of the main control circuit and the auxiliary control circuit fails, the other circuit controls the corresponding power transformation circuit to be switched off through a control panel, and then the circuit is switched off; and a power-off protection effect is achieved. By adopting the technical scheme, the cost can be reduced, and the product price competitiveness can be improved.

The invention relates to the technical field of anti-interference, in particular to a six-dimensional anti-interference system for an electromagnetic transformer type test, which comprises a six-dimensional data acquisition module for acquiring six-dimensional data of an electromagnetic transformer at the current moment in the type test, and an edge node module for predicting the six-dimensional data of the electromagnetic transformer based on a preset prediction model, the abnormal probability corresponding to the six-dimensional data at the next moment is predicted, and the PLC control module outputs a control instruction according to the instruction signal; and the execution module executes a corresponding anti-interference action according to the control instruction. Real-time monitoring of multi-source interference is achieved through collection of the six-dimensional data collection module, the abnormal probability is predicted at the edge node module, and lagging response of a traditional scheme is avoided. And the PLC control module is combined to quickly control and be linked with the execution module, so that a monitoring-prediction-execution closed-loop mechanism is formed, anti-interference action can be completed at millisecond level, and the anti-interference capability of the electromagnetic transformer type test and the accuracy and reliability of test data are effectively improved.

The utility model discloses a built-in voltage transformer type high-voltage alternating-current demarcation high-voltage circuit breaker, which belongs to the technical field of high-voltage circuit breakers and comprises a high-voltage circuit breaker body, the bottom of the high-voltage circuit breaker body is fixedly connected with a substrate, and the upper side wall of the substrate is fixedly connected with a protective shell. The high-voltage circuit breaker comprises a high-voltage circuit breaker body, the high-voltage circuit breaker body is located in a protective shell, a door plate is hinged to the front side wall of the protective shell, a circulating cold air mechanism is arranged on the protective shell, wire inlet notches are formed in the side walls of the two sides of the protective shell, and fixing mechanisms used for fixing cables are fixedly connected to the side walls, located on the outer sides of the wire inlet notches, of the protective shell. According to the utility model, the circulating cold air mechanism is arranged to carry out circulating cold air heat dissipation on the high-voltage circuit breaker body, the heat dissipation protection effect is better, the fixing mechanism is arranged to fix the cable, the stability of the connection between the cable and the wiring end of the high-voltage circuit breaker body is ensured, and the phenomenon that the wiring position falls off due to external force is prevented.

The application provides an intelligent interface matrix for power transformer integrated test, aiming at simplifying the complicated wiring operation in the traditional test and improving the automation level and work efficiency of the power transformer test wiring. The intelligent interface matrix is composed of an intelligent control module, a test interface unit and a sensing and monitoring module, supports the wiring task of completing the conventional test of the current transformer dielectric loss, excitation characteristic, loop resistance, primary and secondary direct resistance and the voltage transformer ratio, dielectric loss, insulation resistance and the like, after being connected with the power transformer, the intelligent interface matrix automatically identifies the power transformer type by monitoring the voltage, current and other signals in the test in real time, switches the multiple adjustable test interface units stably and safely according to the predetermined test sequence of different types of transformers in the high-voltage and large-current environment, efficiently and quickly completes all test wiring work, significantly reduces the manual intervention, and effectively improves the test safety, reliability and overall work efficiency.

The utility model discloses a kind of temperature drift test fixtures for linear differential transformer type displacement sensor, shell pedestal and vertical fixed plate are respectively fixedly installed on the top of bottom plate, pull rod pedestal is placed on the top of bottom plate and between shell pedestal and vertical fixed plate, shell connecting device is located on the upper portion of shell pedestal, pull rod connecting device is located on the upper portion of the pull rod pedestal, the both ends of transverse guide rod are connected with shell pedestal and vertical fixed plate respectively, and middle section passes through the corresponding through-hole on the pull rod pedestal, the screw rod of first transverse adjusting bolt mounted on vertical fixed plate and the screw rod of second transverse adjusting bolt mounted on shell pedestal are respectively contacted with the both sides of pull rod pedestal.The utility model is convenient for accurately adjusting the relative position between pull rod and shell, to realize the function of shell positioning and pull rod movement control, and the concentricity between pull rod and shell can be guaranteed, so it can be used to test the temperature drift of specified position point.

The invention discloses a high-precision double-spring water level sensor, and relates to the technical field of water level sensors. The device comprises a right shell and a left shell, a right cavity and a through hole are formed in the right shell, a transmission cavity is formed in the inner bottom of the through hole, and a differential transformer type displacement sensor is installed in the transmission cavity; a left cavity is formed in the left shell, and detection elastic pieces are arranged at the left end of the left cavity and the right end of the right cavity. The water level is sensed through the detection elastic piece, the higher the water level is, the larger the pressure is, silicone oil serves as an incompressible transmission medium, the unique function is accurate pressure transmission, and external water pressure change is faithfully transmitted to the piston without lag but does not participate in electric signal conversion. The differential transformer type displacement sensor and an execution part are physically isolated, a link elastic sheet pressure sensing link easy to drift and a detection link of the high-stability differential transformer type displacement sensor are decoupled, and the measurement precision is improved.

The invention relates to a method for calculating the capacity of a transformer based on external characteristics, and the method comprises the following steps: selecting a transformer adjacent to a user or a transformer area as a reference transformer, and obtaining the measurement data of a to-be-judged transformer and the reference transformer, including voltage and current data; deducing high-voltage side data of the to-be-judged transformer and the reference transformer according to the types and the measurement data of the to-be-judged transformer and the reference transformer; constructing an evaluation function according to the corresponding relation between the capacity and the impedance of the transformer and an external characteristic principle; and judging the capacity of the transformer according to the impedance value under the extreme value condition of the evaluation function.

The invention discloses a parameter identification method, device and system for a high-frequency cascade transformer, and belongs to the technical field of transformer parameter identification. The excitation resistance and the excitation inductance of the transformer are obtained through transformer transient waveform identification during CTMI no-load test; meanwhile, after the fundamental component effective value of the CTMI output voltage under the to-be-identified working frequency is obtained through calculation based on the amplitude-frequency characteristic of the CTMI on-load test, the difference loss between the fundamental component effective value and the fundamental component effective value of the CTMI output voltage under the to-be-identified working frequency obtained through the CTMI on-load test is minimized, so that the CTMI output voltage can be identified. And identifying to obtain the primary side winding resistance, the primary side winding leakage inductance, the secondary side winding resistance and the secondary side winding leakage inductance of the transformer under the working frequency to be identified. The method is suitable for a square wave condition, does not depend on the type of the transformer, and can accurately and effectively realize parameter identification of the high-frequency cascade transformer.

The present invention discloses a segmented step transformer linear displacement sensor, comprising a housing guide tube assembly, a coil assembly and a butterfly spring housed within the housing guide tube assembly, a rear cover fixedly connected to the rear end of the housing guide tube assembly, a filler injected into the interior of the housing guide tube assembly to secure the coil assembly, and a circular electrical connector fixedly connected to the rear end of the housing guide tube assembly. The coil assembly comprises a coil frame, on which a plurality of spacer rings are spaced to separate the coil frame into a plurality of partitions. The sensor has the advantages of high control accuracy, high reliability, miniaturization, low power consumption, strong anti-interference capability, no human reading error, easy installation, and reliable use. It solves the problems of large winding space requirements, step-like sensor output voltage, asymmetric coil resistance, poor insulation, high-temperature welding burns to the wires, and high output accuracy commonly encountered in domestic large-stroke linear displacement sensors.

The invention relates to a multi-lithium battery SOC equalization circuit with an isolation type Zeta structure. The circuit comprises a Zeta type isolation converter with n paths of outputs, n-1 bridging capacitors and n lithium battery units. The Zeta-type isolation converter with the n-path output comprises a power switch S1, an excitation inductor Lm, a transformer T, a reset winding Ls, a diode D, a first-path output capacitor C1, a first-path output capacitor Cp1, a diode D1 and a filter inductor L1. The second output circuit comprises a capacitor C2, a capacitor Cp2, a diode D2 and a filter inductor L2; ,...; and the nth output circuit comprises capacitors Cn and Cpn, a diode Dn and a filter inductor Ln. The equalization circuit is based on transformer type equalization, a multi-winding transformer equalization topological structure is adopted, and SOC equalization of the series lithium battery pack is realized by adding a bridging capacitor between windings. Compared with a traditional multi-winding transformer equalization topological structure, the isolation type Zeta structure is adopted, the input and output capacity can be guaranteed, certain voltage gain capacity is provided, and the control difficulty and cost of the circuit are greatly reduced.

The invention provides a method and a device for identifying a distribution transformer machine based on machine vision, and belongs to the field of power monitoring. The method comprises the following steps: acquiring an installation two-dimensional code of a to-be-installed transformer; wherein the installation two-dimensional code is arranged on a transformer to be installed, and construction requirements of all sub-items are set in the installation two-dimensional code; determining a construction sequence of each subitem and construction qualification requirements of constructors of each subitem based on each subitem in the installation two-dimensional code; wherein identity information of all constructors in a construction team of a transformer to be installed is set in the terminal; when an instruction issued by the terminal for executing the Nth subitem is received, obtaining a video during construction of the Nth subitem, and sending the video during construction of the Nth subitem to the edge end; wherein the edge end is provided with a standard identification model which is used for identifying a received video; and determining whether to execute the (N + 1) th subitem or not based on the received instruction of the edge end. According to the invention, all sub-items of transformer installation can be accurately identified.

The invention provides an energy storage black-start power source system and method for a power plant, and belongs to the field of thermal power generation, the energy storage black-start power source system comprises an energy storage black-start power source body, and the power output end of the energy storage black-start power source body is connected with the power input ends of a first station auxiliary machine, a second station auxiliary machine, a first station 6kV bus and a second station 6kV bus; the power supply output end of the first station service 6kV bus is connected with a first station service auxiliary machine and a first energy storage system, and the power supply output end of the second station service 6kV bus is connected with the power supply input end of a second station service auxiliary machine and a second energy storage system; compared with a traditional mode that a diesel generator or an energy storage device is directly connected to a 6kV auxiliary power bus for direct starting, the method has the advantages that the excitation surge current of a large-capacity transformer type auxiliary machine is eliminated, meanwhile, the impact current in the electrical starting process of a fan and a water pump type auxiliary machine is reduced, and the safety and the reliability of the black-start process are greatly improved; and meanwhile, the energy storage capacity needing to be configured is effectively reduced, the initial investment cost is reduced, and the overall economical efficiency is improved.

This application discloses a method, apparatus, equipment, and medium for assessing the cumulative damage to transformer coil turn insulation strength, relating to the technical field of insulation degradation analysis. This application establishes a database of the correspondence between the compressive stress of transformer coil turn insulation and the number of damaged insulation paper layers based on a preset experimental model. The preset experimental model includes experimental models between conductors and between conductors and pads. The compressive stress of each coil coil section is calculated based on the transformer type when subjected to a short-circuit fault current impact. The database of the correspondence between the compressive stress of the transformer coil turn insulation and the number of damaged insulation paper layers is queried based on the compressive stress to obtain the cumulative total number of damaged insulation layers for each coil section. The cumulative damage state of the transformer coil turn insulation is assessed based on the cumulative total number of damaged insulation layers, achieving early warning and predictive defense against latent faults in transformer coil turn insulation, solving the problem of difficulty in early detection of inter-turn short circuits, and improving the reliability and safety of transformer operation.

The present invention discloses a three-phase mutual inductor type electric energy meter box, which relates to the technical field of electric energy meter boxes, and includes a box body, an electrical beam, a circuit breaker, a mutual inductor, a fixed plate, a floating plate, and a buffer device. The buffer device is used to generate damping buffering for the movement of the floating plate when the floating plate is vibrated and moves; a live wire centering device is arranged on the floating plate, and the live wire centering device is used to make the part of the live wire located in the busbar hole of the mutual inductor coaxial with the busbar hole of the mutual inductor. In the present invention, when the circuit breaker in the box body is subjected to the vibration force and moves on the electrical beam, the circuit breaker will drive the live wire to move, and the part of the live wire that penetrates into the busbar hole of the mutual inductor is coaxial with the busbar hole through the live wire centering device, and when the circuit breaker drives the live wire to move, the buffer device synchronously drives the mutual inductor to perform corresponding movement, thereby avoiding the live wire from being pulled with a large amplitude, thereby causing the live wire centering device to damage the surface of the live wire.

The present application relates to the technical field of transformer, in particular to an on-line state diagnosis method and system of load capacity regulating switch of transformer permanent magnet mechanism. Stroke switches are installed at large and small capacity positions of the capacity regulating switch, a Hall current sensor is installed at an operating coil power supply circuit, and voltage and current transformers are installed at the input and output lines of the transformer; the switch hysteresis state is judged by detecting the stroke switch state and the operating coil current curve; the vacuum degree reduction degree is evaluated by analyzing the length of the operating coil current change curve of the vacuum tube; the coil burning state is diagnosed by monitoring the maximum value change of the operating coil power supply circuit current; the energy storage capacitor capacity loss is evaluated by detecting the length increase of the current change curve; and the burning degree is judged according to the transition resistance value calculated by the total loss, no-load loss and current according to the transformer type. The present application comprehensively diagnoses the key components of the capacity regulating switch on-line, improves the equipment reliability, realizes predictive maintenance, reduces the maintenance cost and power failure risk, and provides strong support for the intelligent management of power grid.

To provide an abnormality detection system for a differential transformer displacement meter that can detect abnormalities with higher accuracy, a differential transformer displacement meter, and an abnormality detection method.SOLUTION: An abnormality detection system for a differential transformer displacement meter 22 in which the output voltage output from a secondary winding 25 changes in accordance with the AC input voltage depending on the position of a movable iron core 26 includes an acquisition unit that acquires the voltage value of the output voltage at the timing of a predetermined phase of the input voltage, and a determination unit that performs an abnormality determination on the basis of a voltage difference between a voltage value obtained corresponding to a target period and a voltage value acquired corresponding to a period before the target period.SELECTED DRAWING: Figure 4

The invention relates to a tail end power signal flexible regulation and control method and system. The method comprises the steps that 1, parameter information of hardware, the type of a mutual inductor, a calibration coefficient library and a calibration mode are acquired; 2, according to the type of the mutual inductor and the calibration mode, calibration parameters in the approval coefficient library are selected; 3, calculating a voltage calibration coefficient and a current calibration coefficient of the hardware according to the parameter information of the hardware; 4, acquiring an original sampling value; 5, calculating a current effective value and a voltage effective value according to the current calibration coefficient, the voltage calibration coefficient, the mutual inductor type, the calibration mode and the calibration parameters; and 6, calibrating the current effective value and the voltage effective value according to the calibration parameters to realize flexible regulation and control of the tail end power signal. By adopting the method provided by the invention, accurate calibration of electric power signals under different mutual inductor types and hardware parameters is realized, and the accuracy is improved.