945results about "Testing using optic methods" patented technology

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.

A cable, system and method for detecting partial discharges or arcing in wiring or cables via fiber optics are provided. The cable for detecting partial discharges includes a conductor for carrying electrical signals; at least one fluorescent optical fiber for detecting light generated by a partial discharge; and a first transparent layer surrounding the conductor for supporting the at least one fluorescent optical fiber generally parallel to the conductor. By employing a fluorescent optical fiber, incident light generated by a partial discharge along a length of the optical fiber will be transmitted via the optical fiber to an optical receiver for determining a partial discharge has occurred.

The invention discloses a method for the online monitoring of a fault of an insulator based on the thermal infrared imaging technology, and the method comprises the steps: employing a rectangular frame point selection method for a steel cap part, and employing line point selection for an insulator string part for coordinate and temperature conversion; obtaining four types of temperature parameter characteristic quantities through employing an insulator fault detection algorithm: a low-value insulator characteristic quantity, a zero-value insulator characteristic quantity, an insulator pollution accumulation characteristic quantity and an insulator damage characteristic quantity; selecting two three-layer PNN probability neural networks for the feature level fusion of the steel cap part and the insulator string part through combining with environment temperature, humidity and pollution conditions; giving a local information fusion judgment result; and submitting the result to a decision-making level for global decision marking. The method improves the precision of an information fusion model, clearly divides a fault and a non-fault, reduces the misjudgment rate, employs the plurality of characteristic quantities for monitoring, and combines the data of the plurality of characteristic quantities and the insulator fault judgment model to carry out the fault discrimination. Therefore, the method improves the reliability of the monitoring data.

Systems, methods, and devices of the various embodiments enable the detection and localization of power line corona discharges and/or electrical arcs by an unmanned aerial vehicle (UAV) including an array of ultraviolet (UV) point detectors.

The invention discloses a partial discharge fault state identification method based on ensemble learning, and relates to the field of power equipment partial discharge detection and identification. The method includes: firstly, collecting a partial discharge signal through a partial discharge acoustic-optical combined detection system; obtaining raw data, carrying out data preprocessing includingabnormal value detection and cleaning, data denoising and data standardization; extracting signal features from multiple analysis domains, inputting the obtained ultrasonic signal features and ultraviolet signal features into a two-stage Stacking-Bagging ensemble learning model designed by the invention, and finally judging the partial discharge fault state of the current input signal through relative majority voting. The method is high in recognition rate of the partial discharge fault state of the power equipment, and is high in recognition stability.

The invention provides an unmanned aerial vehicle-based charged detection device and method for a zero value insulator of a power transmission line. The device comprises an unmanned aerial vehicle, a measurement and control system, a connecting lazy arm, a main movable bent arm, an upper mechanical claw moving bent arm, an upper mechanical claw, a lower mechanical claw moving bent arm, a lower mechanical claw, an upper voltage measurement probe and a lower voltage measurement probe, wherein the upper mechanical claw and the lower mechanical claw are controlled to firmly grab an upper end steel cap and a lower end steel cap of the insulator separately; voltage signals of the upper end steel cap and the lower end steel cap of the insulator are measured through the upper voltage measurement probe and the lower voltage measurement probe arranged on the root parts of the upper mechanical claw and the lower mechanical claw and the voltage signals are transmitted to the measurement and control system. Detection of the zero value insulator of the power transmission line can be achieved on the basis of the unmanned aerial vehicle, the workload of line operation and maintenance staff is greatly reduced, the detection efficiency for the zero value insulator of the power transmission line is improved and the security risk of climbing detection is reduced.

The invention relates to a partial discharge detection method based on multi-source image fusion. The partial discharge detection method based on multi-source image fusion is characterized in that S100, an ultrasonic sensor array, a camera, an infrared thermal imager, and an ultraviolet imager are respectively used to acquire ultrasonic wave signals, visible images, infrared images, and ultraviolet images of a detected device synchronously; S 200, the ultrasonic visible images can be acquired based on the acquired ultrasonic wave signals and the visible images; S 300, the ultrasonic visible images, the infrared images, the ultraviolet images can be used as the partial discharge detection result after being fused by adopting the image fusion algorithm, and can be displayed. Compared to the prior art, the partial discharge detection method has advantages of detection precision and high reliability.

The invention discloses an automatic detection method for partial discharge of a switch cabinet based on a multi-vision system. The automatic detection method comprises the steps that a robot autonomously moves along a navigation route according to navigation marks laid in a switching station, and the robot stop in front of a switch cabinet to be detected when a stop mark is detected; target location is completed according to shape features, which are acquired by a binocular vision system, of a target, then three-dimensional coordinate calculation for related points in an image is completed based on feature point matching and a parallax principle; movement of a mechanical arm is controlled so as to enable the tail end of the mechanical arm to carry partial discharge detection equipment to reach the position of a target point, pixel deviation of a target area is calculated by using an image taken by a monocular camera arranged at the tail end of the mechanical arm, and position correction is carried out on the mechanical arm according to coordinate position deviation of the target; and different modes of partial discharge detection are carried out on the switch cabinet. According to the invention, a binocular vision system and monocular vision system combining target positioning method is adopted, accurate positioning for a partial discharge detection target is realized, and the error caused by single vision system positioning is reduced.

The invention, which belongs to the field of electrical equipment safety assessment, particular relates to an oil-paper insulation aging diagnosis method based on an insulating oil Raman spectrum wavelet packet energy entropy. According to the method, an insulating oil Raman spectrum wavelet packet energy entropy is used as an aging characteristic quantity; an aging diagnosis model that is obtained by combining a Kennard-Stone algorithm, multi-class support vector machine construction, optimization based on a genetic algorithm is used to realize an overall aging state diagnosis of field oil-paper insulating equipment rapidly and effectively. Therefore, a quantitative analysis of dissolve aging characteristic concentration in a certain kind of oil is not needed and the fault-tolerant performance is good. The method has the good growth. An oil-paper insulating sample obtained in the field operating transformer can be used for expanding a sample base of the diagnosis model in work in future, so that the diagnosis model can be improved and corrected continuously and thus the operation and maintenance level of the oil-paper insulation equipment can be improved.

In at least selected embodiments, an industrial size continuous Hipot testing system has defect mapping capability capable of finding pinholes, weak spots, and/or embedded conductive particles in non-conductive sheet materials. Continuous testing is made possible through a pair of uniquely designed rollers, such as conductive polymer rollers. Automatic defect mapping is also incorporated into the system through the integration of the Hipot testing and line scan camera systems. The unit potentially has wide applications in many industries, such as, for example, semi-conductors and electronics, medical, high end packaging, and so forth.

The invention discloses an acousto-optic combined detection method and system for partial discharging of a high-voltage cable. On the basis of fusion of ultrasonic and ultraviolet sensing type non-electrical detection technologies, a partial discharge detection mode of non-fixed high-voltage cable inspection in a complex and strong electromagnetic interference environment is performed by using low-cost portable ultrasonic and ultraviolet sensors to realize synchronous and efficient collection of ultraviolet light and ultrasonic signals of partial discharge of the high-voltage cable; and then multi-analytical-domain partial-distribution information mining and fusion processing of ultrasonic and ultraviolet light pulses is performed, so that the partial discharge detection information is enriched substantially. Partial discharge information that can not be provided by the single technology is provided; the accurate identification and determination of the partial discharge type, cable fault diagnosis, and health status assessment are performed; and real-time storage and analysis of two paths of partial discharge information as well as display and alarm interaction and the like on the main control module are realized.

The invention discloses a method for monitoring the corona discharge through an ultraviolet imaging instrument, and the method comprises the steps: combining the opening and closing operation of mathematical morphology expansion and erosion with the median filtering for the filtering of an image; carrying out the threshold segmentation of an ultraviolet image, wherein the selection of the threshold value depends on the mean value and square characteristics of the image, different collection systems can adaptively select the threshold values, so the method, compared with a fixed-threshold image segmentation method is better in effect; carrying out the edge detection, wherein the edge detection partly employs the Canny operator widely used in the image field. Through the edge detection of a binary image, the coordinates of edge points can be obtained, and the method achieves the precise positioning of a fault region. Meanwhile, the area of the fault region can be calculated, and the judgment of the fault degree is facilitated. The method can achieve the monitoring of the discharge phenomenon of electrical equipment, determines the corona position and strength, achieves the diagnosis of an early fault, and further provides more reliable basis for the operation condition of estimation equipment.

The invention discloses a power equipment partial discharge multi-channel optical detection system based on emission spectroscopy. An optical fiber (1) acquires an optical radiation signal generated by partial discharge of power equipment and transmits the optical signal to an optical fiber coupler (2) outside the power equipment; the optical fiber coupler (2) splits the optical signal to N detection channels, and after the optical signal of each detection channel passes through a narrow-band optical filter (3), only the optical signal of the characteristic spectrum band is reserved and is collected and extracted by a high-sensitivity photoelectric detector (4). The high-sensitivity photoelectric detector (4) transmits the acquired spectral information and relative intensity of each characteristic spectrum band to an A/D conversion module (5) in the form of analog signals; the A/D conversion module (5) converts analog signals into digital signals and transmits the digital signals to acommunication protocol conversion card (6), the communication protocol conversion card (6) sends the data signals to a remote monitoring computer (7) for optical signal analysis, and partial dischargefault diagnosis is carried out according to the optical signal analysis.

The invention discloses an unmanned plane-mounted UV detection system for power transmission and transformation equipment. The unmanned plane-mounted UV detection system comprises a four-rotor aviation unmanned plane (2) with a landing frame (1), a vertically movable holder (3) which is installed under the four-rotor aviation unmanned plane, and a UV imager (9) fixedly installed on the holder. The unmanned plane-mounted UV detection system saves labor cost. In regions with complex landform, tour inspection of power transmission lines is difficult, and manual tour inspection consumes is labor-consuming and costs a lot of resources. The unmanned plane-mounted UV detection system effectively saves labor cost, and reduces labor investment. The UV imager is a high definition camera, and can detect damage of a power transmission line, accurately position discharging points of the power transmission line and provide reliable coordinate position for maintenance.

The invention discloses an experimental platform for simulating and monitoring the movement condition of metal particles in GIS, comprising a voltage output and measuring module, a high voltage bushing and switching module, an experimental cavity and a remote monitoring module. Voltage is applied to the high voltage bushing by the voltage output and measuring module and is acted on the experimental cavity via a busbar. The experimental cavity is used for holding a sample table of the metal particles, and the distance between the sample table and a guide rod in the experimental cavity is controlled by changing the number of metal spacers. The movement condition of the metal particles under the action of an electric field is observed by a high-definition wireless video camera via an observation window, and is transmitted to a control terminal via a wireless net for observation and recording. The relationship between a particle movement trail and applied voltage is determined by a high voltage power control cabinet and a camera shooting control terminal. Change of the particle movement trail can be observed by changing applied voltage in real time. The experimental platform solves the difficulty of simulation and monitoring on the movement condition of metal particles in GIS, and the safety of experimenters is ensured by remote control.

The invention relates to a non-contact measurement method for the surface discharge pulse peak of a high-voltage insulator. The non-contact measurement method comprises the steps of firstly processing an ultraviolet image, which is shot by an ultraviolet imaging instrument, of an insulator string, extracting the maximum horizontal light spot diameter D of the ultraviolet image, then modifying the maximum horizontal light spot diameter D to a light spot diameter Dd0 at a certain unified shooting distance d0 through normalization processing, and finally substituting the light spot diameter Dd0 into a discharge regression equation I=K.Dd0+L so as to acquire the discharge pulse peak I, wherein K and L are constants. According to the invention, the normalized maximum horizontal light spot diameter is taken as a characteristic value so as to carry out quantitative analysis on the surface discharge pulse peak of the high-voltage insulator. The method is not only applicable to a single insulator, but also applicable to an insulator string. The method eliminates influences imposed on a measurement result by the shooting distance, can provide reliable information for security state assessment of the insulator and flashover early warning, and ensures an electric power system to operate safely and stably.

The invention belongs to the technical field of rail traffic vehicle and high-voltage electrical equipment on-line insulation monitoring and especially relates to a multiple-unit train high-voltage equipment insulation state on-line monitoring system, which is used for realizing on-line monitoring of the insulation state of 25 kV high-voltage equipment of a multiple-unit train. Through classification of multiple-unit train high-voltage equipment, characteristic quantity screening, wireless transmission, high-voltage induction power obtaining, expert database and fuzzy function operation, the difficulty that a conventional power system on-line insulation monitoring mode cannot be applied to the multiple-unit train, which is characterized by high-speed movement, single-phase power supply, non-single-point grounding, harsh environment and strict requirements and the like, is solved; and the system comprises a data acquisition unit and an analysis and diagnosis unit. The data acquisition unit is used for extracting characteristic quantity of a monitoring object, and transmitting the data in a wireless manner to the data analysis and diagnosis unit for analysis and diagnosis and signal output. The system is reliable in principle, high in precision, high in accuracy, high in safety and good in reliability, is of great significance to promotion of continuous development of the high-speed rail cause, and has good economic benefits and a broad market prospect.

The invention discloses a UV imaging corona detection system and method for a UAV. The system comprises a corona detection device, a ground device and a shot computer; the corona detection device comprises a UV light imaging unit, a visible light imaging unit, a power supply and control board and an image memory board; and UV light video signals obtained by the UV light imaging unit and visible light video signals obtained by the visible light imaging unit are input to the power supply and control board. The power supply and control board divides the collected UV light video signals into two paths, and also divides the collected visible light video signals into two paths. One path of UV light video signals and one path of the visible light video signals are input to the image memory board to generate split-screen video signals; and the other path of UV light video signals is input to an external synchronization interface of a visible light camera, and the other path of visible light video signals and the split-screen video signals are output to the ground device in the gated manner. The system can be used for tour inspection of the UAV. The method can realize all beneficial effects of the system.

The invention discloses an extraction method for extracting the discharge ultraviolet imaging quantization parameters of a gray scale-based electrical device. The method comprises the steps of 1, preprocessing an ultraviolet image: firstly, selecting a valid image, specifically: 1) extracting an original ultraviolet image of each frame out of an original ultraviolet video through the image processing software; 2) subjecting the above original ultraviolet image to grey level transformation; 3) conducting the two-value transformation; 4) conducting the mathematical morphological filtering; 5) filtering out interference light spots; 2, calculating the equivalent spot area through weighing grayscale coefficients, specifically: 1) selecting a valid image ; 2) conducting the gray-scale treatment; 3) calculating the equivalent spot area. According to the invention, the description of a discharge region is realized based on light spots with gray values. Therefore, the problem in the prior art that the strength of the discharge capacity in the discharge region cannot be described can be solved. Moreover, the discharge strength and the discharge position of electrical device can be described more accurately.

The invention relates to an insulator series-parallel gap lightning impulse effectiveness and discharge characteristic test method. According to the method, a lift test principle method and a forcing test method are applied through a main processor and image acquisition; lightning impulse 50% discharge voltage, a lightning impulse volt-second characteristic and the effectiveness and invalidity of an insulator series-parallel gap can be simultaneously acquired; and the effective application of a parallel gap in the lightning protection of a transmission line is enhanced.

The invention provides a high-voltage electric power equipment weak current detection system based on a photomultiplier. The system comprises an embedded processing module. The input end of the embedded processing module is connected to the data end and the pulse counting end of the signal processing circuit. The input end of the signal processing circuit is connected to a sensor group. The power end of the embedded processing module is connected to a power supply module through a power line. The signal processing circuit comprises a primary signal amplification circuit, a pulse discrimination circuit, a secondary amplifying and filtering circuit, and an A/D conversion module. The primary signal amplification circuit is used as a preamplifier circuit and directly carries out reverse amplification on the negative pulse signal outputted by the photomultiplier, the amplification is adjustable, and thus a positive pulse is obtained. An obtained waveform value is adjusted and remains positive, a whole waveform is sampled, the method has the common advantages of an ultraviolet measurement method, and compared with an ultraviolet corona imager, the system has the advantages of low cost, a simple structure, and high practicability.

The invention relates to a partial discharge ultrahigh frequency, ultrasonic wave and light pulse combined detection system and method for a GIS. The partial discharge ultrahigh frequency, ultrasonicwave and light pulse combined detection system for the GIS comprises a monitored object GIS, an ultrahigh frequency, ultrasonic wave and light pulse integrated sensor, a transmission optical fiber, acoaxial cable, a 3dB coupler, a light source, a multi-channel photoelectric conversion and amplifier device, a filtering and amplifier device, a multi-channel data acquisition and storage device, a control and display device and a printing device; and the ultrahigh frequency, ultrasonic wave and light pulse integrated sensor is an integrated combined sensor capable of measuring partial discharge of an ultrahigh frequency, an ultrasonic wave and a light pulse signal simultaneously and is installed and arranged on a shell of the monitored object GIS in a built-in mode. Compared with the prior art, the partial discharge ultrahigh frequency, ultrasonic wave and light pulse combined detection system has the advantages of being simple, practical, reliable, capable of reducing electromagnetic interference and mutually proving signal sources and the like.

Wiring in new and older aircraft use bundled insulated conductors that are subject to deterioration over time that can result in on-board fires, loss of in-flight control and eventual crashes of the aircraft. The present invention provides a diagnostic method which permits the on-line and non-destructive diagnosis of the insulation degradation in a portion of the wiring comprising: a) measuring the current flow at locations of the aircraft wiring utilizing an optical current sensor with a bandwidth of dc to 50 kHz; b) determining the current flow within a high frequency bandwidth; and c) analysing the results of the current flow differential determination and initiate the following: i) detect and locate the point of cable failure; ii) initiate an alarm annunciation; and iii) initiate an on-board sectionalized fire suppression system.

A distributed sensing system for detecting partial electric discharge along the length of an extended object or objects. An optical fiber having a cladding integrated with luminescent material and a silica core of less than 500 micro-meters in diameter with a first reflective end deployed in proximity to test objects. A photo detector is positioned at the second end of the optical sensing fiber and receives and measures both a direct emission light from an electric partial discharge event and the reflected emission light from the reflection end of the optical sensing fiber. The measured signals and their arrival times are used to determine the location and magnitude of a partial electrical discharge.