16 results about "Partial discharge analysis" patented technology

The invention discloses a cable partial discharge analysis method and device based on oscillatory waves. The method comprises the steps that the oscillatory waves are applied to a tested cable, and low-frequency envelopes and high-frequency pulses are synchronously collected; performing structure normalization according to cable parameters; encoding the environment and working condition data into a condition vector to implement condition normalization; carrying out domain self-adaptive alignment with an ideal template clustered according to a model, a length and a joint / terminal type, and obtaining a difference feature; constructing a PRPD joint fingerprint, and counting a pulse phase, an amplitude, an envelope attenuation rate and / or an equivalent Q; outputting defect positions, types and confidence intervals based on the difference features and the joint fingerprints; and adaptively determining multi-gear upper pressure and advanced shutdown according to the information gain, and generating maintenance priority and retest interval suggestions. Through step-by-step normalization processing, domain adaptive alignment and fusion of PRPD combined fingerprint features, diagnosis stability and reproducibility are enhanced, weak discharge and early defect detection capability are enhanced, and complex working conditions and cross-trigger adaptability are enhanced.

The application discloses a kind of reactor special electrical equipment online monitoring method and system, it is related to monitoring system technical field, including obtaining temperature data, partial discharge data and pressure data generated when electrical penetration equipment operates;According to the data generated when operating, process and obtain corresponding temperature distribution chart, partial discharge trend chart, PRPD spectrum chart, PRPS spectrum chart and pressure change trend chart;Build the multi-modal fusion fault diagnosis algorithm including feature extraction module, temperature analysis module, pressure analysis module, partial discharge analysis module and comprehensive evaluation module;Temperature distribution chart, partial discharge trend chart, PRPD spectrum chart, PRPS spectrum chart and pressure change trend chart are analyzed using multi-modal fusion fault diagnosis algorithm, obtain the fault condition of electrical penetration equipment;For solving the problem that traditional monitoring function is single, and the accuracy of state diagnosis result is low.

The invention relates to a transformer partial discharge on-line monitoring system, and belongs to the technical field of transformer discharge monitoring. Comprising an ultrahigh frequency sensor and a partial discharge analysis device IED, and the partial discharge analysis device IED is connected with a monitoring platform through a remote communication module. At least three ultrahigh-frequency sensors are arranged at different positions of the transformer, the transformer is monitored through the ultrahigh-frequency sensors, and according to electromagnetic wave signals monitored by the ultrahigh-frequency sensors, whether a partial discharge phenomenon exists in the transformer or not is judged, and the position of a partial discharge source of the transformer is preliminarily determined. According to the application, the partial discharge phenomenon of the transformer can be monitored, the partial discharge position of the transformer can be comprehensively analyzed through the ultrahigh frequency sensors arranged at multiple positions on the transformer, the fault position searching time of an operator is shortened, and the maintenance time of the transformer is further shortened.

The application discloses a full-band GIS ultrahigh frequency partial discharge pulse non-loss collection system and belongs to the technical field of intelligent sensing of primary equipment. The system comprises a signal collection and conditioning module, a double-channel high-speed ADC module and a high-speed data processing and storage module. The signal collection and conditioning module is used for connecting an ultrahigh frequency sensor signal and performing filtering and amplification preprocessing on the signal. The double-channel high-speed ADC module comprises two independent and synchronous collection channels and is used for synchronously collecting the preprocessed signal in a full band. The high-speed data processing and storage module is used for controlling the alternate collection of the double channels, real-time linear compensation, trigger timing control and real-time signal processing. The intelligent analysis and control module is used for performing real-time analysis and fault diagnosis on the collected data and dynamically adjusting system parameters. The application adopts a double high-speed channel collection single signal and realizes a cooperative working mechanism of mutual backup, effectively avoids pulse loss caused by system processing delay, and improves the accuracy of partial discharge analysis and the intelligent level of equipment state sensing.

The application discloses an anti-interference capability optimization method and device, equipment and a storage medium, and relates to the technical field of vehicle testing. The anti-interference capability optimization method comprises the following steps: calculating a target coverage of a high-voltage partial discharge signal according to a target node function model corresponding to a high-voltage partial discharge simulation generating circuit; determining a high-voltage partial discharge interference influence degree judgment condition according to the target coverage of the high-voltage partial discharge signal; determining a high-voltage partial discharge analysis result according to the high-voltage partial discharge interference influence degree judgment condition; and generating a corresponding anti-interference capability optimization strategy according to the high-voltage partial discharge analysis result. In the manner, the high-voltage partial discharge control capability is improved, the problem of poor anti-interference capability of a high-voltage partial discharge simulation generating circuit in an automobile high-voltage wire harness tester in the prior art is solved, and the safety, accuracy and timeliness of automobile high-voltage wire harness testing are improved.

The invention discloses an ultra-narrow partial discharge pulse transient detection system and method based on double-path overlapping acquisition, and relates to the technical field of high-frequency weak signal detection.According to the ultra-narrow partial discharge pulse transient detection system and method based on double-path overlapping acquisition, an ultra-narrow partial discharge pulse waveform is obtained through signal conversion of an ultrahigh-frequency sensor, cooperative overlapping acquisition of double-path acquisition modules and processing of a fusion module, traditional limitation is broken through, and the detection accuracy is improved. Accurate capture and feature extraction are achieved, data are provided for partial discharge analysis, the detection and diagnosis accuracy is improved, single-path shortages are made up by means of double-path collection, and comprehensiveness is guaranteed.

The application provides a power distribution automation equipment supervision acquisition system, which comprises the following steps: time synchronization and space registration are realized by adopting a space-time alignment algorithm on infrared signals, vibration signals and electrical signals; thermal imaging analysis is performed on the infrared signals after synchronization and registration, an overheated area is automatically framed and selected, and a temperature gradient is calculated; vibration signal analysis is performed on the vibration signals after synchronization and registration, vibration entropy is calculated; partial discharge analysis is performed on the electrical signals, and the number of discharge pulses is obtained; the temperature gradient, the vibration entropy and the number of discharge pulses are weighted and fused, the fused features are input into an LSTM model for time sequence correlation analysis, the fault type and the fault type probability are obtained, and the 750KV substation is warned according to the fault type probability. The application provides an automation equipment supervision acquisition system for the 750KV substation, and has the advantages of low missed detection rate and high accuracy.

The application discloses a cable GIS terminal insulation-vibration detection experiment device and application thereof, which comprises a power supply system, an experiment loop system, a vibration detection system and a partial discharge detection system.The experiment loop system is used for constructing a real operation scene of the cable GIS terminal and presetting various defects, and comprises a GIS cabin body, a cable GIS terminal and a support for supporting and fixing the GIS cabin body and the cable.The vibration detection system comprises a plurality of vibration sensors arranged on the experiment loop system, a multichannel data collector connected with the vibration sensors and an analysis system connected with the multichannel data collector.The partial discharge detection system is used for collecting partial discharge signals of the experiment loop system during operation, and comprises a signal coupler, a partial discharge analysis device and an independent power supply.The analysis system is in communication connection with the partial discharge analysis device, and is configured to receive synchronous vibration signals and partial discharge signals for joint analysis.The application realizes non-invasive identification of latent insulation hidden dangers and pure mechanical defects.

Provided is a technology for expanding PRPD-pattern teaching data in partial-discharge measurement. This partial-discharge analysis system carries out analyses of partial discharge incidents in electrical equipment, and is provided with a control unit and a partial-discharge detection sensor. The control unit generates a PRPD pattern on the basis of input signals obtained by the partial-discharge detection sensor, and inputs the PRPD pattern as a two-dimensional image into an analysis model for analysis, thereby diagnosing the presence of partial-discharge incidents. Teaching data utilized in the analysis model contains, as a base image pixel-displayed as a two-dimensional image, a PRPD pattern obtained from past partial discharges, and contains as teaching data an image in which the base image has been shifted up / down, has been stretched up / down, or has been composited with a noise image.

A kind of GIL equipment insulation state detection and evaluation method based on industrial internet platform, through online monitoring system, live detection device or power-off high voltage test, characteristic parameters such as voltage, current, temperature are collected to generate original feature set. After photoelectric conversion, filtering and other processing, key features are extracted to generate structured feature set, and are serialized and uploaded to data center. Using partial discharge analysis, knowledge graph and other technologies, phase resolution map and dielectric spectrum map are calculated, fault diagnosis is carried out, and information such as fault location and fault type is determined. Based on the diagnosis result, the insulation state risk is evaluated by fault mode and effect analysis, fault tree analysis and other methods, the defects, safety risk and economic risk are quantified, and the alarm level and processing suggestion are output. If the risk is triggered, convolutional neural network analysis is performed on specific signals to update the fault location, and finally a diagnosis report is generated according to the fault influence range, diagnosis result and alarm level, realizing comprehensive monitoring and accurate evaluation of GIL equipment insulation state.

The application discloses an ultra-narrow partial discharge pulse transient detection system and method based on double-path overlapping collection, relates to the technical field of high-frequency weak signal detection, and converts signals through an ultra-high frequency sensor, performs cooperative overlapping collection through a double-path collection module, processes the ultra-narrow partial discharge pulse waveform through a fusion module, breaks through the traditional limitation, realizes accurate capture and feature extraction, provides data for partial discharge analysis, improves detection and diagnosis accuracy, makes up for the short board of single-path collection through double-path collection, and guarantees comprehensiveness.

This invention relates to the field of discharge detection technology, and discloses a method and apparatus for detecting partial discharge faults in underground cables based on the actual characteristics of the cables. The invention acquires high-frequency characteristic data of the underground cable under test through measurement; constructs a structural model of the underground cable; calculates the total high-frequency attenuation loss of the cable using the high-frequency characteristic data based on the model, and calculates a high-frequency attenuation constant based on the calculated total high-frequency attenuation loss value; performs partial discharge analysis on cable samples with actual partial discharge locations based on the calculated high-frequency attenuation constant value; and adjusts the model based on the comparison results between the obtained partial discharge analysis location and the actual partial discharge location to obtain an optimal high-frequency attenuation constant as the target high-frequency attenuation constant, which is then used for partial discharge fault detection in the underground cable under test. This invention uses the high-frequency attenuation constant obtained through actual measurement and modeling to detect partial discharge faults in underground cables, which can effectively improve the accuracy of partial discharge signal analysis.

The invention belongs to the technical field of ring main unit supervision, and particularly relates to a ring main unit partial discharge monitoring system and method based on data analysis, and the system comprises a partial discharge monitoring module, a partial discharge analysis module, a discharge early warning positioning module, a partition supervision module and a central management and control terminal. According to the invention, the partial discharge monitoring module collects partial discharge signals in the ring main unit, and the partial discharge analysis module processes and analyzes the collected partial discharge signals by using a plurality of data analysis technologies. The discharge early warning and positioning module carries out early warning and positioning on the partial discharge phenomenon according to the analysis result of the partial discharge analysis module, and analyzes the partial discharge hidden danger of each partial discharge supervision area in the ring main unit through the subarea supervision module to determine a partial discharge high-risk area and a partial discharge low-risk area. A matched discharge management scheme can be conveniently formulated for each partial discharge supervision area, and safe and stable operation of the ring main unit can be ensured.

This application discloses a method and apparatus for partial discharge analysis of cables based on oscillating waves. The method includes applying an oscillating wave to the cable under test and simultaneously acquiring low-frequency envelopes and high-frequency pulses; performing structural normalization based on cable parameters; encoding environmental and operating condition data into conditional vectors and performing conditional normalization; then performing domain adaptive alignment with ideal templates clustered by model, length, and connector / terminal type to obtain difference features; constructing a PRPD joint fingerprint, statistically analyzing pulse phase, amplitude, envelope attenuation rate, and / or equivalent Q; outputting defect location, type, and confidence interval based on difference features and the joint fingerprint; adaptively determining multi-level voltage up-voltage and early shutdown using information gain, and generating maintenance priorities and retest interval suggestions. Through stepwise normalization processing, domain adaptive alignment, and fusion of PRPD joint fingerprint features, the method enhances diagnostic stability and reproducibility, strengthens the detection capability of weak discharges and early defects, and improves adaptability to complex operating conditions and cross-triggering.

The invention provides a cable partial discharge monitoring device, a cable partial discharge monitoring method and a cable partial discharge detection method. The cable partial discharge monitoring device comprises an optical fiber and ultrasonic monitoring devices arranged at partial discharge monitoring nodes. The cable partial discharge monitoring device is used for receiving the laser beam emitted by the partial discharge detection system and transmitting partial discharge information acquired by the ultrasonic monitoring device and optical fiber vibration information acquired by the optical fiber to the partial discharge detection system, so that the partial discharge detection system can perform partial discharge analysis based on the partial discharge information and the optical fiber vibration information; wherein the adjacent ultrasonic monitoring devices are connected through optical fibers, the ultrasonic monitoring device closest to the partial discharge detection system is connected with the partial discharge detection system through optical fibers, and the optical fibers connected to the ultrasonic monitoring devices are wound at the partial discharge monitoring nodes; the ultrasonic monitoring device comprises an ultrasonic partial discharge sensor, an optical splitter, a wavelength division multiplexer, a photoelectric converter, a single-chip microcomputer, an optical communication device and an analog-to-digital converter. The device and the method provided by the invention have high sensitivity and anti-interference capability.

The invention discloses a cable GIS terminal insulation-vibration detection experiment device and application thereof. The cable GIS terminal insulation-vibration detection experiment device comprises a power supply system; the experiment loop system is used for constructing a real operation scene of the cable GIS terminal and presetting various defects, and comprises a GIS cabin body, the cable GIS terminal and a bracket for supporting and fixing the GIS cabin body and a cable; the vibration detection system comprises a plurality of vibration sensors arranged on the experiment loop system, a multi-channel data collector connected with the vibration sensors, and an analysis system connected with the multi-channel data collector; the partial discharge detection system is used for collecting partial discharge signals of the experimental loop system during operation and comprises a signal coupler, a partial discharge analysis device and an independent power supply; and the analysis system is in communication connection with the partial discharge analysis device and is configured to receive the synchronous vibration signal and the partial discharge signal so as to perform conjoint analysis. According to the invention, non-intrusive identification of potential insulation hazards and pure mechanical defects in the incubation period is realized.