1014 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 transformer winding monitoring and diagnosis data acquisition method, system and device and a medium, and belongs to the technical field of power equipment state monitoring, and the method comprises the steps: constructing a multi-scale wavelet transform and improved adaptive Kalman filtering fusion architecture, the multi-scale wavelet transform and improved adaptive Kalman filtering fusion architecture is used for acquiring a monitoring signal of a transformer winding; performing frequency division processing on the monitoring signal by using the multi-scale wavelet transform, and determining each scale coefficient; adjusting a noise covariance matrix based on improved adaptive Kalman filtering, and carrying out filtering processing on each scale coefficient to determine a filtering result; and reconstructing the filtering result into a reconstructed signal, and performing signal quality evaluation on the reconstructed signal to determine the signal quality of the transformer winding. Through multi-scale decomposition and adaptive filtering, the limitation of a traditional method under non-stationary signal processing and strong noise interference is solved, and the retention degree and the signal-to-noise ratio of signal features are improved.

The invention belongs to the technical field of power equipment maintenance, and particularly relates to a transformer winding fault diagnosis method, a terminal and a storage medium, and the method comprises the steps: obtaining frequency response curves of a transformer winding in a normal state and an abnormal state through a frequency sweep test, the head end of the primary side winding is connected with a sweep frequency signal and the tail end is suspended; determining the number of units of an equivalent network according to the number of the frequency response curve characteristic frequencies of the windings in the normal state, and reconstructing a normal winding equivalent network composed of a plurality of RLC units; according to the method, the high-precision equivalent network is constructed, the frequency response residual error analysis is performed, and the Pearson's correlation coefficient is combined to screen the high-correlation element, so that the specific position of the winding deformation or fault can be accurately positioned, the fault type is distinguished, and the limitation that the traditional frequency response method can only judge the overall deformation degree is thoroughly solved.

The invention provides a transformer winding state detection method based on temperature characteristics. The method comprises the following steps: (1) collecting operation data; (2) preprocessing the operation data; (3) taking the normalized transformer load current, the normalized active power, the normalized top oil temperature, the normalized ambient temperature and the normalized oil flow speed as input data, taking the normalized winding hot-spot temperature as output data, and constructing a data set; (4) establishing a VSN-TKAN-GRN deep learning network parallel computing model of the transformer winding hot-spot temperature considering the multi-head attention mechanism; (5) predicting the hot-spot temperature of the transformer winding based on a VSN-TKAN-GRN deep learning network parallel computing model; and (6) calculating the average relative error percentage of the transformer winding hot-spot temperature prediction result and the actual measurement result, and judging the winding state according to the change of the average relative error percentage. According to the method, the state of the transformer winding in operation can be efficiently and accurately judged, so that effective transformer operation and maintenance measures can be taken in time, and large faults are avoided.

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 invention discloses a reclosing locking method and system based on winding hot-spot temperature fitting, and relates to the technical field of power transformer dynamic stability assessment, and the method comprises the steps: determining a target transformer, collecting parameters, building a winding current calculation model, calculating steady-state and short-circuit current waveforms, and carrying out the winding temperature rise test of the transformer, the method comprises the following steps: measuring a steady-state temperature rise value, constructing and correcting an electromagnetic heat flow coupling model, generating steady-state and transient-state temperature field data of a winding, constructing a target function of a winding hot-spot temperature, fitting simulation data by utilizing an optimization algorithm, obtaining a fitting function, calculating a winding stress value under a short-circuit working condition in real time, and comparing the winding stress value with a dynamically adjusted stress limit value, so as to obtain a winding stress value. Alarm and locking reclosing are triggered according to the result, and intelligent protection of the transformer is achieved. According to the invention, through accurate parameter acquisition, model establishment, temperature field simulation, hot-spot temperature fitting and stress calculation, real-time monitoring and intelligent protection of the transformer winding under the short-circuit working condition are realized.

The invention belongs to the technical field of winding insulation monitoring, and discloses a transformer winding insulation monitoring system which comprises the following steps: acquiring transformer winding data and an aging degree label; performing image enhancement processing, temperature correction, hot spot detection and temperature marking on the transformer winding data to generate a hot spot temperature distribution diagram; constructing a winding insulation aging prediction model for predicting the insulation aging degree of the winding based on the hot-spot temperature distribution diagram and the aging degree label; real-time transformer winding data are collected, prediction is carried out through the winding insulation aging prediction model based on the real-time transformer winding data, the winding insulation aging degree is obtained, and early warning judgment is carried out according to the winding insulation aging degree; the initiative of transformer maintenance is greatly improved, a user is helped to take necessary measures before a fault occurs, the risks of power failure accidents and equipment damage are reduced, and the service life of equipment is prolonged.

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 discloses a transformer noise suppression method, system, equipment and medium, and the method comprises the steps: collecting the winding temperature, iron core temperature, cooling system working condition, load current and other operation parameters of a transformer in real time, constructing a multi-physical field coupling model covering electromagnetic, thermal and mechanical characteristics, and providing basic data for noise analysis; based on a heat conduction equation and a vibration acoustics theory, a mapping relation between a heat dissipation state and a transformer noise source is established, and dynamic influences of heat dissipation on noise amplitude and frequency are quantified; through combination of finite element simulation and a thermal network model, winding / iron core deformation caused by temperature change is analyzed, then a modulation rule of deformation on noise radiation characteristics is derived, and a heat dissipation state-physical deformation-noise characteristic transfer function is constructed; and based on the transfer function, dynamically adjusting operation parameters of the transformer by adopting a model predictive control and adaptive filtering technology, and minimizing noise output on the premise of ensuring heat dissipation efficiency.

The embodiment of the invention discloses an off-line monitoring method and device for the state of a transformer winding, equipment and a storage medium. The method comprises the steps of obtaining off-line frequency response test data, at least comprising a smooth frequency response curve, of a transformer; obtaining a resonance frequency and a resonance peak value according to the smooth frequency response curve, and calculating a first transformer capacity, a first no-load loss and a first short-circuit loss under the resonance frequency; utilizing the first transformer capacity, the first no-load loss, the first short-circuit loss and a preset multi-dimensional inferior fusion model to obtain a first comprehensive index used for reflecting the performance change of the transformer winding under the resonant frequency; and determining the current winding state of the transformer according to the first comprehensive index and a predetermined second comprehensive index. By means of the mode, higher sensitivity and reliability can be displayed in diagnosis of winding states such as winding deformation faults, and the method has important significance in prolonging the service life of a transformer and improving the operation reliability and economical efficiency of a power grid.

The invention provides a transformer winding anti-short circuit checking capability evaluation method, which belongs to the technical field of transformer winding anti-short circuit, and comprises the following steps: firstly, establishing an electromagnetic force thermal calculation model, inputting related material characteristic data, and obtaining stress and temperature distribution data through electromagnetic force thermal coupling calculation; establishing an anti-short-circuit capability key factor influence database; then short-circuit working condition data are collected in real time, and weights and correlation coefficients of all factors are obtained through analysis in combination with a database; and verifying the accuracy of the calculation model through a short-circuit stress test of the transformer winding, finally establishing an anti-short-circuit capability evaluation model, and calculating to obtain an evaluation vector containing various evaluation coefficients as an evaluation result of the anti-short-circuit checking capability of the transformer winding. According to the transformer winding anti-short-circuit checking capability evaluation method provided by the invention, the problems that key physical factors influencing the winding strength are not comprehensively considered and the evaluation precision needs to be improved in the existing transformer winding anti-short-circuit checking capability evaluation method are solved.

The invention discloses an electric power centralized control system transformer state acquisition system and method based on edge analysis, and belongs to the field of enterprise substation operation and maintenance technology management.The system comprises an intelligent gateway machine, an edge analysis device, a camera and a transformer winding temperature measuring device; the edge analysis device is connected with the intelligent gateway machine, the camera and the transformer winding temperature measurement device, and the camera and the transformer winding temperature measurement device are arranged on a transformer site and used for collecting transformer oil liquid level video information and transformer winding temperature information respectively and transmitting the information to the edge analysis device. The intelligent gateway machine is deployed in a substation secondary room and is used for acquiring power load information of a transformer and transmitting the power load information to the edge analysis device; and the edge analysis device is deployed in a transformer substation secondary room, analyzes the transformer oil liquid level video information, the transformer winding temperature information and the transformer power load information through an edge analysis algorithm to obtain a transformer health state value, and transmits the transformer health state value to the electric power centralized control system after conversion.

The invention discloses a simple winding mold for an oil-immersed power transformer, and particularly relates to the technical field of transformer winding, the simple winding mold comprises a center ring, a supporting assembly is arranged on the center ring, the supporting assembly comprises a supporting cylinder arranged at the top end of a dislocation cavity, and a plurality of base plates are distributed on the outer side of the supporting cylinder. Through corresponding cooperative use of the structures, radial inward pressure during wire winding can be resisted, the collapse or bulging phenomenon caused by tension compression of the inner layer of the coil can be avoided, more uniform outer side support can be provided, and the circular retentivity of the section of the coil can be remarkably improved; and segmented and layered support of the coil is realized. According to the structure, the supporting range can be flexibly adjusted according to the thickness of the coil, a datum plate is matched for positioning the position of the wire, the phenomenon that the wire slides off and is not evenly stacked when the wide coil or multiple layers are wound is effectively avoided, and the overall compactness and the radial mechanical strength of the coil can be greatly improved by combining the winding tension and the pre-pressing technology.

The utility model relates to the technical field of biomedical engineering bionics, and discloses a miniature annular transformer winding jig which comprises a base assembly, a sliding rail assembly, a sliding block assembly, a winding adjusting assembly and a follow-up assembly, the sliding rail assembly is arranged on the base assembly in a sliding mode, the sliding block assembly is connected to the sliding rail assembly in a sliding mode, and the winding adjusting assembly is arranged on the follow-up assembly. The winding adjusting assembly is arranged on the sliding block assembly, the follow-up assembly is arranged on the sliding rail assembly, a containing opening for containing a magnetic ring is formed between the winding adjusting assembly and the follow-up assembly, and the device achieves the purposes that winding pressure can be adjusted, the winding visual angle can be adjusted, the winding angle can be adjusted, the lengths of primary and secondary reserved wires can be adjusted, and enameled wires can be wound in a lossless mode. And winding of the miniature ring transformers of different specifications can be achieved by replacing the winding adjusting assembly, meanwhile, one-time fixing and one-time winding are achieved, the winding time and cost are saved, the winding difficulty is reduced, and the winding success rate is increased.

The embodiment of the invention discloses a waveform identification and correction method and system for winding deformation diagnosis, and relates to the technical field of transformer winding monitoring, and the method comprises the steps: synchronously collecting voltage and current signals, and carrying out the preprocessing; performing waveform disturbance type identification on the preprocessed signal, and dividing the disturbance type into harmonic dominant disturbance, voltage sag disturbance or compound disturbance, and harmonic dominant disturbance, voltage sag disturbance or compound disturbance; dynamically selecting a corresponding waveform processing path according to a waveform disturbance type identification result; processing the signal by adopting the selected waveform processing path so as to correct and reconstruct the signal and obtain compensated voltage and current waveform data; by constructing a disturbance identification and path adaptive processing mechanism, the problems of processing lag and compensation distortion of a general algorithm during dynamic signal disturbance are solved, the identification precision is improved, and real-time error correction is realized.

The invention provides a rapid detection and diagnosis method and system for a short-circuit fault of a transformer winding, and relates to the technical field of transformers, and the method comprises the steps: collecting the electrical parameters of the transformer winding, calculating equivalent impedance, building a transfer function model and an equivalent impedance model, and extracting a frequency domain fault characteristic quantity and a short-circuit force characteristic; and constructing a characteristic quantity judgment matrix to obtain a weight coefficient, carrying out multi-source information fusion by utilizing a D-S evidence theory, and realizing fault diagnosis by combining fuzzy comprehensive evaluation. The method can accurately identify the short-circuit fault type of the transformer winding, and improves the reliability and accuracy of fault diagnosis.

The invention discloses a transformer winding hot-spot temperature calculation method and system, electronic equipment and a medium, and relates to the technical field of transformers. According to the method, after a hot-spot temperature calculation model meeting the IEC 354 standard is obtained to serve as an initial hot-spot temperature calculation model, the initial hot-spot temperature calculation model is corrected based on the influence of the load rate on the hot-spot temperature of the transformer winding, and a ready hot-spot temperature calculation model is obtained; and then correcting the hot-spot temperature calculation preparation model based on the influence of power flow switching on the hot-spot temperature of the transformer winding to obtain a hot-spot temperature calculation model, and finally determining the hot-spot temperature of the transformer winding based on the hot-spot temperature calculation model. Therefore, the problems that in the prior art, the hot-spot temperature of the transformer winding is monitored through an optical fiber temperature measurement technology, accuracy is not high, and arrangement is complex are solved, hot-spot temperature prediction accuracy is improved, the service life of the transformer is effectively prolonged, and operation safety of the transformer is guaranteed.

The invention discloses energy-saving power transformer automatic production line equipment and a using method thereof, and belongs to the technical field of transformer production. Automatic production line equipment of an energy-saving power transformer comprises a mounting seat, and further comprises a pay-off roller which is rotationally arranged on one side of the mounting seat and used for releasing a winding wire; the two rotating pipes are arranged on the two sides of the mounting base respectively, a rotating roller connected with the mounting base in an inserted mode is arranged between the two rotating pipes, an insulating cylinder used for winding a winding wire is arranged on the outer side of the rotating roller, and a driving motor used for driving the rotating pipes to rotate is arranged on the mounting base; according to the winding device, the neat and ordered winding of the winding wire is achieved through the wire arranging mechanism, in the process, the side face and transverse compaction winding of the wound winding wire is achieved, the uniformity of the winding compactness of the transformer winding is improved, the production qualification rate of the transformer is guaranteed, manual operation is not needed, and the production efficiency of the transformer is improved.

The embodiment of the invention discloses a transformer winding state diagnosis method using parameter transformation and related equipment, and the method comprises the steps: injecting high-frequency voltage signals with different frequencies into a transformer through a capacitor voltage transformer, and obtaining a response voltage signal outputted by the transformer; drawing a frequency response curve between the response voltage signal and the frequency according to the high-frequency voltage signal and the response voltage signal; according to the frequency response curve, obtaining a plurality of resonant frequency points between the capacitor voltage transformer and the transformer, and a resonant voltage value corresponding to each resonant frequency point; and the winding state of the transformer is diagnosed according to the resonant frequency point and the resonant voltage value, whether the winding of the online operation transformer has a fault can be identified, and the transformer does not need to be changed into an offline state, so that real-time operation state information of the transformer is provided, and the requirements of a modern power grid on real-time monitoring and quick response are met.

The invention discloses a transformer winding machining device and method, the transformer winding machining device comprises a base and two mounting frames, the two mounting frames are fixedly arranged on the two sides of the top of the base correspondingly, and the invention relates to the technical field of transformer winding machining. According to the transformer winding processing device and processing method, the winding mechanism, the edge folding mechanism and the cleaning mechanism are arranged at the top of the base, so that when the device winds the winding, different diameters of circular rings formed by a plurality of arc-shaped plates can be expanded to adapt to winding of windings of different specifications; in addition, the edge of the insulation paper can be folded through the edge folding mechanism, the insulation ends are automatically formed on the copper foil, the situation that an insulation strip needs to be additionally wound on the surface of the insulation paper in a traditional winding mode is avoided, the insulation ends are provided for the two sides of the copper foil, and dust cleaning is synchronously conducted on the drawn and conveyed insulation paper and the copper foil.

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 discloses an active equalization circuit based on winding switching and a power supply, which can realize equalization control of a single or a plurality of adjacent batteries at the same time through a plurality of cascaded battery pack equalization modules and combination with a bidirectional isolation DC / DC converter and a transformer winding switching mechanism. When battery equalization control is carried out, the voltage adaptation range of the bidirectional isolation converter is effectively expanded through a switching mechanism of the number of turns of the windings, meanwhile, the gain range is reduced, and the equalization efficiency in the whole working range is remarkably improved. In addition, the equalization mode is flexible, the equalization speed is high, the overall performance of the battery pack is improved, the service life of the battery pack is prolonged, and the situations of low equalization speed, low efficiency and the like are avoided.

The invention discloses a topology circuit of an isolated single-phase integrated vehicle-mounted charging system for an electric vehicle and a control method of the topology circuit. The topology circuit comprises an open-winding permanent magnet synchronous motor, a dual three-phase inverter, a power battery pack, a bus capacitor, a high-frequency transformer, a winding change-over switch K1, a winding change-over switch K2 and a bus change-over switch G1, through switching of the winding change-over switch K1, the winding change-over switch K2 and the bus change-over switch G1, the system works in a driving mode or a charging mode, and the system is controlled in combination with a driving control method and a charging control method. According to the invention, electrical isolation of the integrated vehicle-mounted charging system is realized without adding extra power devices and industrial frequency transformers, and the reliability and safety of charging are improved.

The invention relates to a method for dynamically eliminating residual magnetism of an iron core of a converter transformer, and belongs to the field of transformer demagnetization. According to the method, a capacitance energy storage and release device is connected to the two ends of a transformer winding, capacitance energy storage causes RLC oscillation of the transformer, a magnetic field is generated through current caused by the RLC oscillation, and magnetic domains of iron core ferromagnetic materials are rearranged through the changed magnetic field, so that the demagnetization effect on residual magnetism of the transformer is achieved. The method comprises the following steps: drawing a hysteresis loop in the demagnetization process of a transformer by collecting voltage and current data in the demagnetization process, translating an end point of the hysteresis loop to an original point, and judging the residual magnetism direction and size of initial demagnetization according to the area of each quadrant of the hysteresis loop; and then transformer demagnetization is carried out again, the residual magnetism direction and size of the first demagnetization are evaluated according to the hysteresis loop of the second demagnetization, and whether the residual magnetism is smaller than a threshold value is judged. According to the method, the direction and size of residual magnetism in the demagnetization process can be evaluated in real time, the demagnetization energy is dynamically adjusted, and sufficient demagnetization of the converter transformer is ensured.

The embodiment of the invention relates to the technical field of transformer fault detection, and discloses a transformer winding fault detection method and system based on frequency response and a medium, and the method comprises the steps: determining the equivalent inductance and equivalent capacitance of a transformer winding; and calculating a first-order grounding coefficient of driving point admittance by using the peak frequency and the valley frequency when the neutral point is grounded, and calculating a first-order open-circuit coefficient by using the peak frequency and the valley frequency when the neutral point is open-circuit. A first difference function is constructed through the equivalent inductance, the scaling rate and the first-order grounding coefficient, and a second difference function is constructed through the equivalent capacitance and the first-order open circuit coefficient. And fault detection of the transformer winding is carried out according to a comparison condition between fluctuation of the first difference function and the second difference function and a preset threshold value, and early sensitive detection is realized.

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 invention discloses a fluorescent optical fiber temperature measuring device for a transformer winding. The fluorescent optical fiber temperature measuring device comprises an optical fiber temperature sensor, a control and interaction unit, a transmission and switching unit, a flange fixing unit and a protection unit, through the complete system design of the optical fiber temperature sensor, the control and interaction unit, the transmission and switching unit, the flange fixing unit and the protection unit, a whole-process closed loop from temperature sensing and signal transmission to data processing and alarm control is realized. The optical fiber temperature sensor is in direct contact with a winding hot spot, temperature measurement is performed based on the fluorescence decay time principle, the problems that a traditional indirect calculation method is large in error and an electrical sensor is poor in anti-interference performance are solved, system integration is achieved, and monitoring is more accurate. The optical fiber temperature sensor adopts a polyimide optical fiber core and a polytetrafluoroethylene sheath, has no metal part, is resistant to high pressure, and is completely immune to EMI / RFI; a signal isolation unit of the control and interaction unit further blocks external interference and ensures stable work in a strong electromagnetic environment.

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.