5455 results about "Partial discharge" patented technology

There is provided an electric processing system which sequentially monitors a phase difference of intermittently output high-frequency powers in the case of performing feedback control with respect to a high-frequency power applied to bipolar type sealing forceps, reduces the high-frequency power and prolongs an application time at the time of occurrence of abnormal discharge (a spark) at distal ends, thereby terminating the abnormal discharge (extinguishing the spark) to carry out sealing processing.

The invention relates to a local discharge electroacoustic united detection positioning system and a positioning method thereof in the technical field of electric power systems. The local discharge electroacoustic united detection positioning system comprises a plurality of sensing and amplifying modules, a front end detection module and an industrial control module, wherein the sensing and amplifying modules are arranged on a GIS casing cavity body to be tested and are connected with the front end detection module for outputting amplifying signals, the front end detection module carries out synchronous signal collection on a plurality of paths of input amplifying signals and outputs the amplifying signals to the industrial control module, and the industrial control module outputs a control command to the front end detection module. The invention concentrates the advantages of an ultrahigh frequency detection method and an ultrasonic detection method, discovers the defects of insulation matching and the like possibly existing in the installation process of the GIS in time, enhances the acceptance check accuracy and ensures the safe and reliable power supply of an electric power system.

The invention relates to an evaluation system of transformer state based on multisource information integration and an evaluation method thereof, wherein, the evaluation system in the invention is composed of an oil chromatographic analysis subsystem, a partial discharge ultrahigh frequency signal detection subsystem, a winding deformation vibration signal detection subsystem, a current transformer detection subsystem and a computer; the technical point of the evaluation method in the invention lies in evaluating the running state of a detected transformer by fusing the detection results obtained by the detection methods utilized by the four detection subsystems by utilizing a D-S evidence theory fusion evaluation algorithm. The beneficial effects of the invention lie in being capable of timely discovering and accurately judging the malfunction of transformer and comprehensively reflecting the running state of a transformer.

A method of analyzing partial discharge data collected from an electrical device includes collecting partial discharge data from a first electrical device belonging to a group of electrical devices. The group of electrical devices is at least partially defined by at least one electrical device classification. The method also includes generating a comparison of at least a portion of the partial discharge data collected from the first electrical device with at least a portion of the partial discharge data collected from at least one second electrical device. The at least one second electrical device is selected from the group of electrical devices that includes the first electrical device. The method further includes transmitting the results.

The invention provides a fault on-line diagnosis and early warning method of a flameproof dry-type transformer for mine in order to raise the accuracy and rapidity of fault diagnosis. The method comprises the following steps: determining monitoring quantity; extracting characteristic values: extracting a three-dimensional spectra parameter and two-dimensional statistical parameter in a partial discharge signal as characteristic quantities, with regard to operation voltage, current and iron core leakage current, extracting effective values of the operation voltage, the current and the iron core leakage current as characteristic values, and taking real-time values of a temperature parameter as characteristic quantities; using a normalization method to calculate a corresponding value of each characteristic quantity and taking the corresponding value as an input parameter of an intelligent diagnosis system; collecting values of each monitoring quantity under different environment, and obtaining training and testing samples of a nerve network under corresponding environment; establishing a nerve network: selecting a generalized RBF nerve network intelligent diagnosis method to establish a nerve network; utilizing a sample data training nerve network and forming a fault diagnosis tool; establishing a database; storing collected real time data and the above diagnosis result into a ground server real-time database and a real-time early warning information table, and carrying out diagnosis and early warning through an expert system.

The invention provides an integrated testing device used in local discharge detection for oil immersion power transformer paper oil insulation electric heating ageing study, comprising an electric heating ageing oven, a test object electrode system and a high-voltage alternating current power supply system. The test object electrode system is arranged in the electric heating ageing oven and connected with the high-voltage alternating current power supply system. The testing device also comprises a local discharge signal acquisition system which comprises a local discharge signal transducer, a signal transmission cable and a data acquisition processing device. The input end of the signal transducer is connected with the test object electrode system, the output end is connected with the data acquisition processing device through the signal transmission cable; the testing device can acquire the local discharge parameter in the electric heating ageing process of paper oil insulation, provides data for the electric heating ageing study and can further realize the on-line monitoring of transformer paper oil insulation electric heating ageing state on the basis of the study.

This invention relates to gas insulation combination electric apparatus partial discharge online detecting and position equipment and its position method. It belongs to electric equipment insulation detecting technique field. This invention includes sensor array consisted by microtrip patch antenna, two groups multiple intelligence selecting switch; two amplify filter, high speed digital collector, computer and control module. The array in this invention is made up by the microtrip patch antennas fixed at GIS basin type insulator, its antenna is made up by rectangular metal patch, medium board, metal platter, coaxial probe type feed line and antenna shielding case. This invention is computer program control, it can online, actual time, quickly, actually poison of GIS inner discharging. This invention can be widely used to electric generator plant booster station and electric network GIS electric substation, it can auto detecting GIS inner partial discharge, and actually poison of partial discharging defect, also it can interconnection run with electric substation and electric generator plant auto monitoring system.

The present invention relates to an electrical safety diagnosis system and apparatus, which are configured to enable sensed data on user surroundings in a U-city environment, such as electrical safety data for switchboards and distribution boards, and water leakages, faulty outlet connections, etc., to be managed remotely by a server at a U-city integrated information center. In particular, the present invention relates to an electrical safety diagnosis system and apparatus which use a U-city integrated information network to preemptively perform checking and analyses for potential electrically-induced disasters that can occur in public facilities, stores, buildings, and homes within a U-city, by means of a U-city integrated information center, and prevent electrical fires or shocks at the electrical equipment of switchboards or distribution boards, and dangerous conditions (such as water leakages, abnormal temperatures, gas, and faulty outlet connections) in facilities used by users. The remote electrical safety diagnosis system of the present invention comprises: a digital switchboard including the functions of checking electrical equipment in a switchboard room using a contactless arc sensor and a partial discharge sensor on a power line, to diagnose the safety of the electrical equipment, diagnosing an arc or partial discharge in a detected waveform and storing the diagnosed data, and transmitting the diagnosed data to a higher level server; and a digital distribution board including a main circuit breaker and a partial circuit breaker, for checking an AC voltage or current input through the power line, storing the checked data, and transmitting the diagnosed data to the higher level server.

The invention discloses a positioning device and a positioning method for fault detection of local discharge, and the positioning device comprises two sensors, a local discharge detection positionfinder and a computer, wherein, the two sensors consist of an electromagnetic sensor and a resonant ultrasonic sensor; the local discharge detection positionfinder is internally provided with double-signal paths in parallel; the positioning device also comprises a data acquisition card and a liquid crystal display (LCD) which are connected with the output ends of the double-signal paths; one path of the double-signal paths is an electromagnetic path connected with a peripheral electromagnetic sensor, while the other path thereof is an ultrasonic channel connected with a peripheral resonant ultrasonic sensor; one path is displayed by the LCD connected with the acquisition card, and the other path is sent to a peripheral computer through data wires after signal received by the electromagnetic path and the ultrasonic path is processed by the acquisition card. The test method is simple and flexible, has easy operation and strong anti-interference performance, overcomes the defect of single detection method for local discharge in the prior art, and can realize accurate detection and position on local discharge fault points in power equipment.

Disclosed is a UHF partial discharge and its location measuring device for high-voltage power devices. The measuring device includes a partial discharge sensor, an external noise sensor, an analogue-digital converter, a peak detector, a partial discharge signal processor, an arrival time detector, a discharge location processor, and a display unit.

The invention relates to a self-walking underground cable failure detection intelligent instrument which comprises an underground cable hot failure infrared detector 1. an underground cable partial discharge ultraviolet detector 2. an underground cable insulation aging electric field distribution detector 3. an underground cable self-walking patrolling robot 4 and an underground cable failure predication system 5. The self-walking underground cable failure detection intelligent instrument realizes the comprehensive detection and prediction on the underground cable failure based on the multi-sensor detection, multi-information amalgamation, and movable intelligent patrolling mode, has high degree of automation as well as full-size, intuitive and reliable information, and greatly lightens the working load and working intensity of personnel.

The invention provides a new method for evaluating the state of paper oil insulation ageing and realizes the on-line evaluation of the paper oil insulation ageing state of a power transformer. The method includes the following steps: 1) a local discharge signal transducer acquires a local discharge signal of paper oil insulation and transmitted the signal to a data processing device; 2) the processing device analyzes the local discharge signal, obtaining the local discharge feature parameter; 3) the processing device extracts main constituent factor from the local discharge feature parameter; 4) the processing device utilizes the main constituent factor obtained in step 3) and constructs a paper oil insulation ageing evaluation model through an artificial neural net to gain the ageing state of paper oil insulation. By implementing data analysis for the local discharge signal in the paper oil insulation ageing process, the invention extracts the local discharge feature parameter capable of reflecting the insulation ageing, conducts further data mining on the parameter and on the basis, constructs a reasonable mathematics model to evaluate the ageing state of paper oil insulation.

The invention provides a transformer paper oil insulation experiment device integrated with electric heating combination ageing and partial discharge, and provides a corresponding experiment method. The experiment device comprises a high voltage portion, a low voltage portion and a sealing tank portion. The device can provide a platform of electric heating combination ageing and partial discharge experiments for a transformer paper oil insulation defect model, and can provide experiments of corona discharge, creeping discharge and air-gap discharge models in oil. The device has good air-tight performance, and can be isolated from external air and other influences. The whole system self cannot produce partial discharge, and the device cannot produce rust and other impurities in the partial discharge, can guarantee reliability of the partial discharge, and is simple in structure, convenient to operate, and capable of achieving good test effects.

The invention discloses a method for identifying local discharge signals of a switchboard based on a support vector machine model. The method comprises a model training process and an audio identifying process, and particularly comprises the following steps of: preprocessing audio signals; extracting effective audios according to short-time energy and a zero-crossing rate; segmenting the effective audios and extracting characteristic parameters such as Mel cepstrum coefficients, first order difference Mel cepstrum coefficients, high zero-crossing rate and the like of each segment of the audios; training a sample set by using a support vector machine tool, and establishing a corresponding support vector machine model; after preprocessing audio signals to be identified and extracting and segmenting the effective audios, classifying and identifying segment-characteristic-based samples to be tested according to the support vector machine model; and post-processing classification results, and judging whether partial discharge signals exist. By using the method, the existence of the partial discharge signals of the switchboard is accurately identified, the happening of major accidents involving electricity is prevented and avoided, economic losses caused by insulation accidents are reduced, and the power distribution reliability is improved.

The invention relates to a phased ultrasound locating method of the partial discharge of a transformer, which is used for monitoring and locating partial discharge faults. Phased array ultrasound sensors arranged at two different positions of the transformer are adopted to receive ultrasound broadband signals sent out by a partial discharge source, and an array model is formed; then a broadband focus algorithm in a broad-ban array signal processing algorithm is applied to convert broadband signals received by the two phased array ultrasound sensors into narrow-band signals, then a narrow-band direction finding algorithm is applied to respectively carry out direction of arrival (DOA) estimation on the two narrow-band signals, and finally a cross locating algorithm is applied to determine the concrete position of the partial discharge. Meanwhile, the invention also discloses a locating system. The invention can carry out on-line accurate locating on the partial discharge in the transformer; moreover, the used locating system has simple structure, and the method is simple and easy to apply.

The apparatus for partial discharge detection of turn-to-turn insulation in motor has a surge generator for generating a surge voltage to the windings of the motor by applying a pulse voltage, and a partial discharge current detector for detecting partial discharge currents between the winding turns of the motor. The surge generator generates in and between the windings of the motor the surge voltage that has the rise time and fall time corresponding to the rise time of the surge voltage observed at the motor terminal when the motor is driven by an inverter, and that is repeated at a frequency of 50 Hz to 20 kHz.

An improved cathode suitable for lithium-sulfur batteries, a battery including the cathode, and a battery including a separator containing inorganic fillers are disclosed. The cathode includes sulfur and a metal oxide and optionally includes an additional polymeric material. The metal oxide reduces dissolution of sulfur at the cathode and reduces sulfur-containing deposits on the battery anode, thereby providing a battery with relatively high energy density and good partial discharge performance. The separator also reduces unwanted diffusion of sulfur species.

The present invention discloses a method for on-line monitoring local discharge of power cable and its device. On the earthing wire of power cable a local discharge sensor is cover-connected, and a resistance divider is mounted on the voltage transformer of transformer station, and a computer can be used for making analysis and processing local discharge, and can be used for making statistial analysis. Said method can analyze maximum discharge quantity, average discharge quantity, discharge frequency, discharge phase, sewness, steepness and other discharge parameters, and can have the rich spectrogram display function, can display discharge quantity (including maximum discharge quantity and average discharge quantity) and discharge phase spectrogram, discharge frequency and discharge phase spectrogram and others. Said invention can utilize ORACLE to implement data management.

The invention discloses a portable partial discharge ultrasonic cloud detection device, which comprises an ultrasonic sensor, a temperature sensor, a humidity sensor, an atmospheric pressure sensor, a signal processing module, a wireless network device, a display and an earphone. The sensor transmits the signal to the signal processing module, and the processed signal is transmitted to the cloud server through the wireless network device, and the signal is subjected to anti-interference processing and characteristic parameters are extracted and stored in the partial discharge signal characteristic database. For analysis, the operator monitors the sound in the earphone and makes a diagnosis based on the results of the cloud server. The diagnosis result is displayed on the monitor, and the device detects and alarms at the same time. The invention uses the data analysis, processing and storage capabilities of the cloud detection principle to detect the partial discharge in the equipment early and prevent the occurrence of major accidents through online monitoring or inspection of the partial discharge of the high-voltage equipment.

The invention provides a fiber grating-based transformer internal temperature detection system, which comprises a light source, fiber grating sensors, a grating signal demodulation system, a signal processing display instrument and data analysis software, wherein the fiber grating sensors are arranged on a winding and a strut of a transformer and sensing points at other positions in the transformer and used for sensing measurement of transformer temperature, stress and local discharge parameters; the grating signal demodulation system receives the measured data of the fiber grating sensors, and accurately demodulates corresponding light signals of the temperature, stress and local discharge parameters; the signal processing display instrument performs correction processing such as temperature compensation, stress sensitivity removal and the like on the measured signals, and displays real-time data on an instrument panel; and the data analysis software performs programming software analysis on the processed data to acquire real-time transformer internal temperature field and temperature change, and then performs transformer internal temperature monitoring and full service life assessment. The system realizes real-time measurement of temperature of multiple points in the transformer through the photoelectric sensors, and provides a good foundation for economic operation of the transformer.

The invention discloses a method for estimating an operating state of an SF6 high-voltage circuit breaker and an intelligent system, belonging to the technical field of electric transmission and transformation equipment. The intelligent system comprises a WEB server, a data server, an industrial personal computer, a local discharge monitoring unit, an opening / closing coil current monitoring unit, a release current monitoring unit, an opening / closing stroke monitoring unit, an opening / closing position monitoring unit, an SF6 gas temperature and pressure monitoring unit and a sensing element. The method comprises the steps of: 1, establishing an intelligent estimation system; 2, quantifying estimation indexes; 3, determining matter elements R to be estimated; 4, determining a model classic domain; 5, determining a model node domain; 6, calculating a subjective weight; 7, calculating an objective weight; 8, determining a subjective and objective combined weight; 9, determining a degree of association of the matter elements to be estimated; 10, estimating matter elements of a subproject layer; 11, estimating matter elements of a project layer; 12, estimating matter elements of a target layer; 13, determining an operating state grade; and 14, determining a characteristic index state grade trend. The invention has the advantages of simple model, visual estimation result and strong self-improvement characteristic.

The invention provides a deep-learning-based partial discharge defective image diagnosing method and system, comprising the following steps: 1) detecting the partial discharge signal of a piece of power equipment; obtaining a partial discharge defective image; 2) creating a partial discharge defective image sample database; extracting the training set and the testing set; 3) creating a deep convolution neural network model; using samples to do deep learning training and testing to obtain the connection weights and bias parameters of the network model; and 4) inputting the partial discharge defective image to be diagnosed into the network model obtained from the step 3; outputting and obtaining the partial discharge defect type of the image. According to the invention, through the utilization of the learning algorithm of the deep learning theory to complete the characteristic extraction task of a partial discharge defective image, it is possible to accurately and effectively identify the defect type of the partial discharge image without the reliance on manual extraction of the characteristic parameters, providing new solutions for insulation state diagnosing of power equipment.

An apparatus for efficiently generating ozone in dry air or in oxygen at about 1 bar pressure. The apparatus generates a uniform cold plasma having no arcs or localized discharges that fills the entire generator volume. Electrical pulses having a peak voltage of approximately 20 kV, pulse width of approximately 20-ns FWHM, and repetition rate of approximately 10 kHz drive the generator. Short pulses apply voltage to the generator on a short time scale compared to the time required to form an arc-like discharge, and at an electric field strength many times over DC breakdown, which is not achievable with long electrical pulse widths. The generator is optimized for cool, UV-free operation. Dimensions of the generator are adjusted to optimize production of ozone by tailoring the distribution function of the electrons in the cold plasma. Overall efficiency of the generator approaches 50% of the theoretical quantum efficiency of generating ozone.

The invention relates to a transformer oil-paper insulation electricity-heating unite ageing test device which comprises a sealing cavity and a test device body located in the sealing cavity. The test device body of the transformer oil-paper insulation electricity-heating unite ageing test device comprises a high voltage electrode, a low voltage electrode and an insulation paper sample, the insulation paper sample of the test device body is located between the high voltage electrode and the low voltage electrode, and electric ageing conditions of an oil-paper insulation test are controlled by controlling the voltage exerted to the insulation paper sample; the transformer oil-paper insulation electricity-heating unite ageing test device further comprises a heating device, and heat aging conditions of the oil-paper insulation test are controlled by controlling the heating temperature of the heating device; the transformer oil-paper insulation electricity-heating unite ageing test device further comprises a partial discharge detecting device, and high-frequency partial discharge detecting and low-frequency partial discharge detecting are achieved. By means of the transformer oil-paper insulation electricity-heating unite ageing test device, multi-state detection and fault diagnosis of a transformer can be achieved, an oil sample and gas in the sealing cavity after the aging test are directly taken out under the condition that the sealing cavity is not opened, the reliability of experimental analysis results is high, and the device is easy and convenient to operate, and the problem that an existing test device is low in reliability of the experimental analysis results and inconvenient to operate is solved.

A partial discharge detection apparatus of an electrical rotating machine includes a metal frame connected to a stator frame of the electrical rotating machine, a power line connected to one of a stator winding corresponding to one phase of three phases in the metal frame and a neutral point lead line connected to a neutral point of three-phase stator windings and arranged in the metal frame to propagate a partial discharge signal generated by degradation of the stator winding, a sensor including a rod antenna which is installed around the power line or neutral point lead line in the metal frame to electrostatically and magnetically induce the partial discharge signal propagated to the power line or neutral point lead line, and a detector which receives, via a signal lead line, a signal generated in the sensor and detects partial discharge by signal processing.

The invention relates to a method to remove the non-degradable organic in water with a packed bed in high-voltage impulse electric field, which comprises: forcing impulse high voltage between the high-voltage electrode (2) and the grounding electrode (3) in reactor (4) filled particulate filling (5) with high dielectric constant; at the same time, pumping the being treated water to sprinkle evenly by mist liquid droplet form to the reaction area through an atomizer or sprinkler (6) on top between two electrodes, and forming a thin water film on surface of (5); exposing air, oxygen or ozone evenly by the aeration tube arranged on middle below the (2) and (3). This invention overcomes the drawbacks in prior art, such as flooding the filling, realizing hardly local filling discharge, large energy consumption, and disbenefit to mass transfer and diffusion.

There is provided a method that includes (a) determining a characteristic of a fundamental spectral component of a spectrum of a power spectrum of noise on a power line, and (b) determining a condition of the power line based on the characteristic.

The invention discloses a partial discharging experiment device of a structure-variable combined electrical gas-insulated apparatus and a method thereof, and belongs to the technical field of insulation online detection of electrical equipment. The partial discharging experiment device mainly comprises a GIS simulating element, a digital storage oscillograph and a signal generator, etc. By utilizing the device, the partial discharging experiment method carries out a pressurized experiment so as to collect ultrahigh frequency PD signals, carries out a signal injecting experiment, collects and corrects the ultrahigh frequency PD signals through programs, thus obtaining real waveform of the ultrahigh frequency PD signals. The device can simulate the T-shaped, L-shaped and bar-shaped structures of real GIS equipment. The method can carry out the experiment to the T-shaped, L-shaped or bar-shaped GIS structures by one to four insulated defect models, and the experiment is real, accurate and wide in range. The device and the method can be widely applied to the experimental research of the insulated state online monitoring of GIS equipments in teaching practices, scientific research institutions and equipment manufacturing plants, and the detected PD signals can be used for theoretical analysis and applied research.

The invention relates to a system for calibrating receiving performance of a partial-discharge ultrahigh frequency detection device, and the system comprises a giagahertz transverse electromagnetic cell (GTEM) transmission cell, a standard pulse generator, a measure and control computer and a high-speed broadband oscillator, which are sequentially connected with one another through a conducting wire, wherein the high-speed broadband oscillator transmits a branch signal to the GTEM transmission cell, the top of the GTEM transmission cell is provided with a special test window which is provided with a reference sensor and a tested sensor, and the reference sensor and the tested sensor are respectively connected with the high-speed broadband oscillator. The invention also relates to a calibration method by adopting the system. The calibration system and the calibration method have a broadband property and low cost, and not only can be used for electromagnetic radiation sensitivity test, but also can be used for the electromagnetic radiation test; and moreover, the instruments used in the system and the method are simple to configure, low in cost and capable of being used for rapid and automatic test.

The invention relates to an infrared photoacoustic spectroscopy detection device and method for decomposed components of sulfur hexafluoride under partial discharge, belonging to the technical field of partial discharge on-line monitoring of SF6 gas insulating electrical equipment. The device of the invention mainly comprises an induction voltage regulator, a corona free experimental transformer, a partial discharge free protective resistor, a standard capacitive voltage divider, a non-inductive resistor, a GIS analog element, a wide-frequency high-speed ultrahigh-capacity digital storage oscillograph and an infrared photoacoustic spectroscopy system. In the method of the invention, infrared photoacoustic spectroscopy detection is carried out on the decomposed gas of SF6 under partial discharge in the GIS analog element by the device of the invention. The invention has high sensitivity, little gas consumption, multiple detection components and strong anti-jamming capability, can effectively detect SF6, CF4, SO2F2, SOF2, SO2, HF and the like as low as 0.01 muL / L, and is suitable for on-line detection. The invention can be widely used for detection of partial discharge decomposed gas of SF6 in the SF6 gas insulating electrical equipment, especially the GIS equipment.