914 results about "INSULATION FAILURE" patented technology

The invention discloses a multi-sensor information fusion method for monitoring the insulation state of a high-voltage cable, and relates to the technical field of information. The method comprises the following steps: acquiring magnetic flux distribution data at different spatial positions in a grounding box according to a three-axis orthogonal magnetic flux sensor, and analyzing magnetic flux distribution characteristics to obtain a spatial sensitivity distribution map; the method comprises the following steps: acquiring a magnetic field signal generated by a cable fault discharge source, decomposing and calculating a magnetic field gradient tensor by adopting an inversion method based on the magnetic field gradient tensor, positioning a defect position of cable insulation, and acquiring three-dimensional space coordinate information of the defect position; according to a cable insulation state space distribution evaluation result, the arrangement density of the fluxgate sensors is increased in an insulation fault high-incidence area, the arrangement of the tetrahedral configuration sensor array is optimized, and a comprehensive evaluation index system is constructed. Data support is provided for state monitoring and life prediction, and the operation reliability of the cable is improved.

The invention discloses an insulation detection system supporting a direct-current high-voltage energy storage system, which belongs to the technical field of insulation detection and comprises a data acquisition module, a state analysis module, a detection module and an alarm module. Wherein the data acquisition module is used for acquiring leakage current data and environmental parameter data in real time; the state analysis module is used for calculating an insulation state evaluation value according to the leakage current data and the environmental parameter data; the detection module is used for selecting an alternating current superposition method, a direct current leakage current method or a resistance voltage division method to perform insulation detection according to the insulation state evaluation value; and the alarm module is used for judging whether the detection result is abnormal or not and giving an alarm when the detection result is abnormal. By comprehensively monitoring the direct current leakage current and the environmental parameters and dynamically selecting the optimal insulation detection method, efficient and accurate evaluation of the insulation state of the direct current high-voltage energy storage system is achieved, insulation faults are effectively prevented, and safe and stable operation of the system is guaranteed.

The invention is suitable for the field of electric power safety, and provides a fault prediction and maintenance method and system for safe operation of electric power equipment, and the system comprises a data collection module, a data analysis and abnormity identification module, a dynamic alarm and response module, a geographic information system integration module, and a maintenance path optimization module. The system adopts a non-contact dynamic electric field monitoring system to monitor power equipment, can identify potential insulation failures or electrical faults in real time, and significantly reduces the risk of contact between operation and maintenance personnel and high-voltage equipment. And in combination with an intelligent alarm system, real-time data are analyzed through machine learning, an alarm is automatically triggered, and the accuracy and response speed of fault identification are improved. In addition, the monitoring system is integrated with a geographic information system, automatic optimization of an optimal maintenance response path is achieved, and it is ensured that faults are rapidly processed. According to the comprehensive method, the safety of the power equipment is improved, the fault risk is reduced, the maintenance efficiency is optimized, and the comprehensive method has important practical value.

The invention discloses an equal-sectional-area high-slot-fullness-rate concentrated flat wire winding layout structure. The flat wire winding layout structure comprises a plurality of flat wire windings and a stator core with non-rectangular stator slots, each flat wire winding is wound on a respective stator core tooth part in the stator core and arranged in the same manner, and the width of each layer of flat wires of each flat wire winding is increased layer by layer from the narrower side to the wider side of the stator slot of the stator core. The thickness of each layer of flat wire is increased layer by layer from the wider side to the narrower side of a stator slot of the stator core, the total sectional area of each layer of flat wire is the same, and the wire ends of the flat wire windings are mutually connected at the end part of the motor. According to the invention, the slot fill factor of the flat wire winding in the non-rectangular slot can be effectively improved, the problem of low space utilization rate is solved, the efficiency and power density of the motor are further improved, the current densities at different positions of the conductor in the slot are basically the same, the insulation failure caused by too high local temperature rise is avoided, and the reliability of the winding can be effectively improved.

The invention relates to a low-voltage motor insulation resistance online monitoring and early warning method, system and device and a medium. The method comprises the following steps: firstly, acquiring multi-dimensional operation data through a data acquisition link to form an original monitoring data set; preprocessing the original monitoring data set, and focusing core information through dimension reduction processing to obtain a key parameter set; and then inputting the key parameter set into a dynamic correlation model constructed based on a long short-term memory network, and outputting a prediction result of the variation trend of the insulation resistance value along with time and the deterioration degree quantification. And finally, carrying out early warning analysis based on a prediction result, and generating early warning fault features in combination with a real degradation judgment process. According to the method, the insulation resistance trend and the degradation degree are accurately predicted, the defect of insufficient real-time performance of off-line detection is overcome, the accuracy and the pertinence of fault early warning are improved, and equipment shutdown and safety risks caused by insulation faults are effectively reduced.

The invention provides a state evaluation, regulation and control method and platform for a ring main unit, and relates to the technical field of intelligent power systems, and the method comprises the steps: predicting and obtaining the SF6 gas component of a target ring main unit at a current time node based on an inspection log and an SF6 gas component record; according to the predicted SF6 gas data, the SF6 gas concentration, the air temperature in the cabinet and the air humidity in the cabinet, insulation fault probability analysis is carried out in combination with the electric power internet, and the predicted insulation fault probability is obtained; and if the predicted insulation fault probability exceeds an expected probability threshold, generating a risk early warning signal, and performing dynamic regulation and control according to a predetermined scheme. The technical problems that a traditional insulation performance evaluation method usually depends on a single physical quantity for judgment, the insulation state of equipment cannot be comprehensively known, and the accuracy and reliability of insulation performance evaluation are low can be solved, the accuracy and reliability of ring main unit insulation performance evaluation can be improved, and the reliability of ring main unit insulation performance evaluation is improved. And potential insulation fault threats can be found in time.

The invention relates to the technical field of power equipment fault diagnosis, in particular to a transformer overheating fault intelligent diagnosis system based on a physical information neural network. According to the invention, physical constraint filtering is carried out on signals through the adaptive noise suppression module; a loss function fusing a heat conduction equation, a gas decomposition kinetic equation and an insulation aging kinetic equation is constructed through a physical information neural network, and coupling modeling of temperature and gas and collaborative prediction of the aging state of insulation paper are achieved; spatial topological features and time sequence features are extracted through a multi-modal feature fusion module, and cross-modal association is established by adopting an attention mechanism; predicting a future feature trajectory through a fault evolution prediction module and outputting hierarchical early warning; and finally, outputting fault types, severity and maintenance suggestions. According to the method, a physical mechanism and data intelligence are deeply fused, advanced early warning and accurate positioning of an overheat fault are realized, and meanwhile, the blank that insulation failure cannot be pre-judged in the prior art is filled.

The invention relates to the field of power distribution network cable main insulation fault detection and management, and discloses a power distribution network cable main insulation fault detection and management integrated test platform construction method comprising the following steps: a) data acquisition: installing a plurality of sensors including a partial discharge sensor, a current and voltage sensor, a temperature sensor and a vibration sensor; acquiring real-time operation data of the power distribution network cable; b) data transmission: transmitting the acquired cable monitoring data to a data processing system in a wired or wireless communication mode; and c) data preprocessing: denoising, missing value interpolation, standardization or normalization processing is carried out on the transmitted original data so as to improve the quality of the data. The real-time operation state of the power distribution network cable is monitored through various sensors, and various advanced data processing methods are combined, so that the accuracy of fault detection is effectively improved, and identification deviation caused by data noise or sensor errors in a traditional fault detection method is avoided.

The invention belongs to the technical field of heating devices, and discloses a thick film heater adopting an indirect heat dissipation technology, which comprises a main shell and a film heating plate, the film heating plate is connected with a radiator, the radiator is connected with heat dissipation fins, the inner side of a heating cavity is connected with a sealing element, and the main shell is connected with a water inlet pipe and a water outlet pipe. A heat dissipation water channel is defined by the heat dissipation device, the heat dissipation fins and the water closing plate, the main shell is connected with a PCBA circuit control board, and the main shell is connected with a low-voltage connector and a high-voltage connector. According to the technical scheme, due to the arrangement of the radiator and other structures, the situation that the radiating fins are directly welded to the heating plate to cause deformation of the heating plate to affect the heating effect or insulation faults is avoided, the radiator and the radiating fins are integrally die-cast, the heat exchange area is greatly increased, the heat exchange coefficient is increased, the heater cannot be locally overheated, and the service life of the heater is prolonged. The tolerance robustness of bubbles existing in a whole vehicle cooling liquid system is enhanced, and the use stability of the heater is greatly improved.

The invention provides a moisture-resistant and high-temperature-resistant wire and a preparation method and application thereof. And each wire comprises a conductor, and a mica insulating layer, an inorganic fiber insulating layer, a high-temperature-resistant insulating paint layer, a molecular sieve moisture-resistant layer and an outer protective layer which are sequentially coated outside the conductor from inside to outside. The heat-resistant grade of the moisture-resistant and high-temperature-resistant wire can reach 600 DEG C; the characteristics of specific adsorption of the nanoscale molecular sieve on water vapor and desorption in a heating state are combined, so that the water vapor blocking function is achieved in a high-humidity environment, desorption can be achieved at a high temperature to remove residual water molecules, insulation failure caused by water vapor permeation can be reduced, the reliability is greatly improved, and the service life is greatly prolonged; good insulation performance can still be maintained after high-frequency vibration; the cable can be used in a high-temperature, high-humidity and high-frequency vibration environment, and the high-temperature resistance, the moisture resistance and the vibration resistance of a signal or power transmission wire are improved.

The present invention relates to the technical field of batteries, and discloses a secondary battery, which comprises: a housing having a cavity; the battery cell is arranged in the cavity, and the battery cell comprises a battery cell body and a tab; the pole column is arranged on the shell; the adapter piece comprises a tab connecting part and a pole connecting part, and at least part of the tab is arranged opposite to the tab connecting part after the tab is led out of the battery cell body; and in the thickness direction of the battery cell, the thickness of the pole connecting part is L1, the thickness of the tab is D, in the thickness direction of the battery cell, the thickness of the battery cell is L, the width of the pole connecting part is L1, the width of the tab connecting part is L2, and (L1 / L2) * (D / (L-L2)) is 0.008-1. By controlling (L1 / L2) * (D / (L-L2)) to be within a range of 0.008-1, a space is reserved for a bending corner of the tab, so that the tab is prevented from being broken due to scratching of the shell, and even short circuit and insulation failure between the tab and the shell are avoided; and meanwhile, the over-current capability is considered, the balance of current transmission is realized, and excessive temperature rise of the battery is avoided.

The invention relates to the technical field of fault searching, and discloses a portable wireless insulation fault searching device suitable for an alternating current power supply system for a transformer substation. Comprising a fault detector, a connector is arranged on the upper surface of the fault detector, an electrifying head is connected into the connector in an embedded mode, an electric wire is arranged on the upper surface of the electrifying head, and an electroprobe is arranged at the end, away from the electrifying head, of the electric wire. The length of the adjusting hollow tube can be adjusted by pulling the adjusting ejector rod out of the adjusting hollow tube, the height of the electroprobe can be adjusted by stretching out the adjusting ejector rod, the height of the electroprobe can be adjusted, and the direction of the electroprobe can be adjusted by means of movable connection of the movable bead and the movable seat. When the device is used for searching and detecting the fault of the alternating current power supply of the transformer substation, a worker cannot raise hands for detection, so that the fatigue of the arms of the worker is relieved.

The invention relates to the technical field of electrical measurement and power system monitoring, in particular to a cable insulation fault detection method. The method comprises the following steps: measuring an electric field signal and constructing an electric field distribution model in a cable to obtain a signal mapping result of a cable insulation state; the signal mapping result of the cable insulation state is mapped to a frequency domain, smoothing processing is carried out, multi-scale analysis is carried out on the signal after smoothing processing, fault features of the cable are extracted, the insulation state of the cable is quantified, the probability that the cable has an insulation fault is calculated, and a basis is provided for fault early warning and maintenance. The problems that most of traditional insulation fault detection methods depend on single electrical or spectral characteristic detection, so that detection information is incomplete; the stability is poor, and misjudgment or missed judgment is easily caused; in some methods, power failure or direct contact with a cable is needed for measurement, and continuous operation of the cable is affected. And complex electric field distribution and dynamic change thereof in the cable are difficult to accurately describe, and the fault development trend is difficult to predict.

A method and apparatus for frequency domain diagnosis of a power cable defect on the basis of a cross-interconnection box structure. The method comprises: by means of a wiring terminal intersecting a three-phase shielding layer of a cross-interconnection box, injecting a broadband signal, and obtaining a time domain result (S101); according to the time domain result being mapped into a frequency domain, performing analysis, and obtaining impedance spectrum results of a left end and a right end of an injection cross-interconnection box (S102); and, according to the impedance spectrum results, diagnosing hidden danger defects of an outer sheath and a main insulation in a three-phase cable (S103). The present disclosure solves the problem in the related technology that traveling wave reflection method diagnosis strategies cannot avoid direct connection to a cable core wire when identifying a main insulation fault in a cable, which limits the application scenarios of a traveling wave injection method to only being applicable to inspection before a cable has been put into operation and cable defect assessment after a cable fault has occurred. Additionally, the present disclosure solves the problems of high device requirements and testing costs, leading to the inability to meet daily operation and maintenance inspection requirements of cables and various test scenarios.

The invention relates to the technical field of power distribution station fault early warning, in particular to a rapid fault early warning method and system for a large-scale power distribution station, and the method comprises the steps: comparing the maximum amplitude difference between electromagnetic wave signals of any two sensors, combining the interference coefficient mean value of the electromagnetic wave signals in all sensors, determining the amplitude deviation, and determining the maximum amplitude difference; the maximum partial discharge signal is screened out by combining the distance between any two sensors; the partial discharge index is determined by analyzing the energy of the maximum partial discharge signal in each frequency interval and the dispersion degree of the maximum amplitude of the electromagnetic wave signals in all the sensors in each target period and combining the proportion of the number of all the target periods in the total number of the power frequency periods. And performing fault early warning on the to-be-tested switch cabinet in the large-scale power distribution station. The invention aims to improve the detection precision of the insulation fault of the switch cabinet in the large-scale power distribution station.

A monitoring circuit for a high-voltage DC charging apparatus provides for the monitoring circuit to have a first high-voltage busbar and a second high-voltage busbar as well as a reference potential. This is electrically insulated from the high-voltage busbars. The monitoring circuit has a current sensor apparatus which is configured to capture a common-mode current flowing through the high-voltage busbars. The monitoring circuit also has a control device. The current sensor apparatus has a signal-transmitting connection to the control device, and the control device is configured to emit a fault signal if the magnitude of the common-mode current exceeds a limit. Furthermore, a DC voltage charging station, a DC voltage charging cable, a vehicle charging circuit and a method for detecting a fault in a high-voltage DC charging process are described.

The invention discloses a photovoltaic system night insulation impedance detection method, which comprises the following steps: before a photovoltaic system works at night, power is taken from a power grid through a power taking framework to supply power to a bus cathode of the system, so that ground insulation impedances of positive and negative electrodes of all photovoltaic group strings and the power taking framework form a grounding loop; the ground insulation resistance of the direct current side of the system is calculated by measuring the voltage of the power taking framework; when the photovoltaic system works at night, ground insulation fault positioning is carried out by controlling the power taking framework and the switching tubes of the DC / DC units. The beneficial effects of the invention are that the system can achieve the online detection of the night insulation resistance of a photovoltaic system, and the whole detection architecture is simple in structure, and even does not need to modify an existing hardware circuit, thereby effectively reducing the cost.

The utility model relates to a composite liquid cooling plate, a battery pack and electric equipment. The composite liquid cooling plate comprises an upper cooling plate and a lower cooling plate, the upper cold plate comprises a first composite material layer and a first metal layer which are integrally formed through compression molding. The lower cold plate comprises a second composite material layer and a second metal layer which are integrally formed through compression molding; the first metal layer and the second metal layer are located between the first composite material layer and the second composite material layer, and a liquid cooling flow channel is defined by the first metal layer and the second metal layer. The composite liquid cooling plate has the basic function of thermal management, and can prevent the problem of insulation failure after thermal runaway; meanwhile, compared with the related technology, the second composite material layer is arranged at the bottom making contact with the outside, and electrochemical corrosion can be effectively prevented. In addition, the upper cold plate and the lower cold plate of the composite liquid cooling plate both adopt metal layer and composite material layer assemblies, so that the manufacturing cost can be reduced.

The invention relates to the technical field of high-voltage electrical equipment, and particularly discloses a high-insulating-property thermoplastic sleeve and a method for preparing the same based on a co-extrusion process, the surface of a nonlinear layer is wrapped with an insulating material, so that the corona discharge phenomenon is avoided; and meanwhile, the same thermoplastic material is adopted as the insulating layer (including the first thermoplastic layer and the second thermoplastic layer) material and the base material of the nonlinear layer, so that no obvious interface exists between the insulating layer and the nonlinear layer, charge accumulation is avoided, insulation failure is avoided, the insulation and voltage resistance of the sleeve is improved, and the operation reliability is improved.

The invention relates to a high-voltage network for a motor vehicle, comprising at least the following components: - a first subnetwork; - a second subnetwork; - an isolation monitor; - at least one high-voltage switch per subnetwork. The high-voltage network is characterized primarily by the fact that the first subnetwork and the second subnetwork are arranged in a parallel switching arrangement, and The first subnetwork and the second subnetwork can each be separately connected to the insulation monitor by means of the high-voltage switches, so that the insulation resistance of the first subnetwork and the second subnetwork can each be detected separately by means of the insulation monitor. The proposed high-voltage network enables simple and accurate localization of insulation faults in subnetworks.

The invention discloses an insulation fault edge self-healing method and device for a power conversion system, and belongs to the technical field of fault diagnosis and automatic maintenance of power electronic equipment, and the method comprises the steps: obtaining multi-modal sensing data, synchronously collected by a multi-modal sensor array, of the power conversion system; a preset lightweight CNN-Transform hybrid model is used to process the multi-modal sensing data, and a feature vector of each modal is obtained; fusing each modal feature vector by adopting a dynamic weight attention mechanism to obtain a fused fault feature vector; classifying the fused fault feature vectors based on a fault classifier, and determining a fault level; and according to the determined fault level, sending a corresponding control instruction to an execution mechanism, and triggering a hierarchical self-healing action. According to the invention, fault identification and self-healing decision can be rapidly completed, and the accuracy of fault detection is effectively improved.

This application relates to the battery field, and in particular, to a battery cell, a battery, and an electrical device. The battery cell of this application includes a housing, an electrode assembly, and an insulation layer. A mounting capacity is created inside the housing. The electrode assembly is disposed in the mounting cavity. The insulation layer is disposed between at least a part of the electrode assembly and the housing. In the technical solution of this application, the insulation layer is disposed between at least a part of the electrode assembly and the housing. When the housing incurs an insulation failure and generates an electrical arcing or arc, the electrical arcing or arc generated by the housing will not break down the insulation layer due to insulativity of the insulation layer, thereby protecting at least a part, disposed opposite to the insulation layer, of the electrode assembly.

The invention discloses an insulation residual life prediction algorithm and device based on real-time temperature acquisition and a medium, and relates to the technical field of new energy automobiles, and the method mainly comprises the steps: constructing an offline insulation failure database through an accelerated thermal aging experiment of a twisted pair sample, and recording the PDIV of a target motor at a brand new state room temperature as an initial PDIV0; based on the off-line insulation failure database, obtaining the aging slope of the PDIV decaying along with the aging time at each motor winding temperature and a corresponding aging curve; according to the mapping relation between the PDIV and the motor winding temperature, obtaining an insulation threshold voltage corresponding to the current motor winding temperature under the correction of a temperature correction coefficient; and based on the current PDIV0 and the insulation threshold voltage, substituting the aging curve corresponding to the current motor winding temperature to obtain and output the difference value of the corresponding insulation failure time of the two as the insulation residual life. The method can accurately capture the initial characteristics of insulation aging, the early warning time is advanced, and the timeliness is improved.

The invention discloses a transformer insulation fault monitoring and early warning device and an early warning system thereof, and relates to the technical field of transformer insulation faults. The transformer comprises a transformer body, and a partial discharge on-line monitor, a temperature sensing assembly, an insulating oil photoacoustic spectrum on-line monitor, an oil micro-water analyzer, a vibration monitor and an insulation tester are arranged on the peripheral side of the transformer body. Through arrangement of the partial discharge on-line monitor, the temperature sensing assembly, the insulation oil photoacoustic spectrum on-line monitor, the oil micro-water analyzer, the vibration monitor, the insulation tester and the main control end, the insulation fault of the transformer body can be comprehensively monitored in real time, and the alarm lamp is used for reminding irrelevant personnel to be away from the transformer body. And fault information is timely transmitted to a computer or a communication terminal of related personnel through the early warning module, so that the fault information is timely processed, the early warning and reminding effects are greatly achieved, the occurrence of accident hidden dangers is reduced, and the guarantee is improved for power utilization safety.

The invention relates to the technical field of on-line monitoring, in particular to an insulation fault on-line monitoring method and system for a medical IT system control cabinet. The method comprises the following steps: selecting a non-integer frequency multiplication detection frequency according to equivalent ground distributed capacitance in a previous monitoring period, and superposing the non-integer frequency multiplication detection frequency with a fundamental frequency to form a composite signal injection system; collecting signals to calculate a voltage instantaneous harmonic distortion rate change gradient, and selecting a time window to split the leakage current according to the change gradient; on the basis of dispersion estimation signal-to-noise ratio weighted fusion current vectors, insulation resistance and distributed capacitance are calculated; constructing a four-dimensional original feature vector composed of the insulation parameter, the phase difference and the intermodulation component energy; constructing a diagonal weighting matrix based on the resistance-capacitance ratio and the gradient to transform a feature vector, and determining the fault attribution through the Mahalanobis distance calculation with the fault template library. According to the scheme, harmonic interference can be avoided, calculation stability can be improved, insulation instantaneous sudden change can be quickly responded, and different fault types can be accurately distinguished to guide maintenance.

A temperature-adjustable basin-type insulator scale model experiment device belongs to the technical field of power equipment and comprises a high-pressure experiment tank body, a temperature adjusting device, a temperature monitoring unit, a temperature feedback control unit and a multi-signal detection unit. A plurality of sensors are combined to synchronously detect discharge signals, discharge characteristics of different signals are obtained, the influence of the temperature on the electrical performance of the basin-type insulator can be explored, meanwhile, research on the insulation failure mechanism of power equipment in a low-temperature environment is facilitated, and the simulation detection integrated device is convenient and reliable.

The invention discloses a cable insulation evaluation method and device, electronic equipment and a storage medium, which are used for solving the technical problem that the existing cable insulation evaluation method is low in reliability and accuracy. The method comprises the following steps: slicing a to-be-detected cable to obtain an insulation slice with a preset thickness; obtaining the lowest alternating current breakdown field strength of the insulation slice under the corresponding voltage grade; acquiring alternating-current space charge distribution characteristic data of the lowest alternating-current breakdown field strength; calculating an insulation failure characteristic value according to the alternating current space charge distribution characteristic data; testing space charge distribution characteristics of the insulation slices; calculating an average charge density and a maximum field intensity distortion rate parameter of the space charge distribution characteristics; and comparing the average charge density and the maximum field intensity distortion rate parameter with the insulation failure characteristic value to obtain an insulation evaluation result of the to-be-tested cable.

The utility model relates to the technical field of transformer cushion blocks, and provides a vacuum pouring cushion block for a 110kV dry-type transformer, which comprises a resin cushion block body, a first top surface is arranged at the top of the resin cushion block body; the first top surface is provided with a first platform, a second platform and a first clamping groove; the first clamping groove is located between the first platform and the second platform. A lug boss is arranged at the front end of the resin cushion block body; a second top surface is arranged at the top of the lug boss; the second top surface is lower than the first top surface; a second clamping groove is formed in the second top surface; and umbrella skirts are arranged at the rear end and two side surfaces of the resin cushion block body. According to the resin cushion block, the protruding part is arranged at the front end of the resin cushion block body, the second clamping groove is formed in the top of the protruding part and used for installing the low-voltage insulating cylinder located between the iron core and the low-voltage coil, insulation failure caused by discharge breakdown of the low-voltage coil of the 110 kV dry type transformer to the iron core can be effectively avoided, and market requirements are met.

The invention relates to a ring main unit intelligent detection and fault early warning method and system. The method comprises the following steps: deploying an ultrahigh frequency sensor, an infrared thermal imager, an ultraviolet sensor and a high-frequency current transformer, and synchronously acquiring multi-modal data such as partial discharge, temperature distribution, corona discharge and grounding current of the ring main unit; carrying out feature extraction on the collected data, wherein the feature extraction comprises a time-frequency statistical feature and a temperature-load correlation feature of the partial discharge signal; the Dempster-Shafer evidence theory is utilized to carry out fusion calculation on the multi-source feature evidence, and confidence coefficients for insulation degradation, poor contact, arc faults and other fault types are obtained; arc fault prediction is carried out in combination with a long-short-term memory network model; and finally executing a grading early warning strategy according to the fault confidence. The problems of low detection reliability and fault early warning lag of a single sensor are solved, early accurate diagnosis and predictive maintenance of the insulation fault of the ring main unit are realized, and the operation safety and reliability of power equipment are remarkably improved.

The invention provides an insulation fault detection method and device of a power battery, equipment and a medium. The method comprises the steps of obtaining multiple pieces of state time sequence data of the power battery; wherein the multiple pieces of state time sequence data comprise insulation resistance value time sequence data, collected by an insulation monitoring unit, of a battery module in the power battery and sensor time sequence data, collected by each preset sensor, of the power battery; performing weighted data fusion on the plurality of pieces of state time sequence data, and determining an insulation health score of the power battery; and comparing the insulation health score with a plurality of preset score thresholds, and determining an insulation fault detection result of the power battery. Through the method and the device, the degradation trend of the insulation performance can be recognized earlier, the sensitivity and the accuracy of fault detection are improved, safety accidents caused by lagging alarm of insulation faults are effectively avoided, and the operation safety and the reliability of a power battery system are remarkably improved.