10results about "Testing using acoustic measurements" patented technology

A condition detecting method and device for a surface insulation layer of an elevator traction belt. The condition detecting method includes: positioning a detecting component adjacent to the surface insulation layer of the elevator traction belt; moving the elevator traction belt relative to the detecting component, so that the detecting component scans the surface insulation layer of the elevator traction belt; applying static electricity to the detecting component through a static electricity generation component; detecting the reaction of the elevator traction belt to the static electricity; and identifying the condition of the surface insulation layer of the elevator traction belt according to the detected reaction of the elevator traction belt to the static electricity.

The present disclosure relates to a sensor device (30) for detection of electrical abnormalities in association with electrical equipment, the sensor device (30) comprising: a housing (32); and an acoustic sensor element (301) arranged inside the housing (32) to register acoustic signals reflecting sound from the electrical equipment wherein the acoustic sensor element (301) is operatively connectable to at least one processor (303, 803) configured to detect the presence of electrical abnormalities based on the acoustic signals registered by the acoustic sensor element (301), wherein the sensor device (30) is configured to be arranged on a mounting rail (10) for electrical equipment and the sensor device (30) is configured such that, when arranged on the mounting rail (10), the acoustic sensor element (301) abuts the mounting rail (10).

The application belongs to the technical field of partial discharge of power equipment, and provides a UAV partial discharge detection system and method, in order to solve the problem that the motor rotation noise of the UAV itself and the frequency band of the partial discharge signal are highly overlapped, and the precision of the partial discharge detection is affected, in the partial discharge detection load module, sound insulation walls for isolating interference noise are arranged around the microphone array, most of the interference noise is isolated from the sensing end, the anti-interference effect on the UAV body noise during the partial discharge detection is realized, and the detection precision is improved; meanwhile, the beam forming algorithm in the voiceprint information processing module is adopted, the noise and the partial discharge signal are further stripped in the rear end, the effect of isolating the interference noise is greatly improved, and the detection precision is improved.

A vehicle charging system for an electric vehicle includes a housing having a DC charging terminal held by the housing in an internal cavity with a mating end for mating with the charging component and connected to a power cable. The vehicle charging system includes a charging controller for controlling vehicle charging along the DC charging terminal. The vehicle charging system includes an arc sensor in the internal cavity configured to detect an arc event at the mating end of the DC charging terminal. The arc sensor includes a light detector having a multi-modal diversity detector configured in a first mode to detect light from the arc event and configured in a second mode to detect an arc noise signature from the arc event. The arc sensor is operably coupled to the charging controller to control the vehicle charging when the arc event is detected.

There is provided a simultaneous detection method and system for dissolved gas and partial discharge in insulating oil, and belongs to the field of electrical devices. The method includes the steps: freely diffusing the dissolved gas in the insulating oil to an Fabry-Perot (F-P) optical fiber interference cavity through an oil-gas separation membrane; coupling pump light and probe light into the F-P optical fiber interference cavity through a frequency division multiplexer; making, by an optoacoustic effect of the dissolved gas stimulated by the pump light and an ultrasonic wave generated by the partial discharge, the oil-gas separation membrane vibrate; detecting, by the probe light, vibration of the oil-gas separation membrane, which changes a cavity length, wherein when the probe light is reflected by the oil-gas separation membrane, an interference signal is generated due to the change of the cavity length.

The application discloses a GIS insulation defect early warning method, system, device and medium, the method comprises the following steps: collecting multi-source heterogeneous signals of GIS equipment, and constructing a multi-modal feature dataset after signal data preprocessing; a Transformer neural network model based on multi-modal fusion is constructed; the multi-modal feature dataset is input into the neural network model for training and real-time calculation of the loss function value based on a set of weight parameter optimization algorithms to determine the optimal parameters of the model and update the network structure parameters; electromagnetic wave spectrum data and real-time acoustic waveform data are collected by UHF sensors and ultrasonic sensors respectively, and after the multi-modal input data are constructed, the trained Transformer neural network model is input for deep reasoning, and a hierarchical warning operation is performed based on the reasoning result of the multi-modal data. The application can realize accurate identification and timely warning of GIS weak insulation defects.

A vehicle charging system (10) for an electric vehicle (14) includes a housing (102) having a DC charging terminal (108) held by the housing in an inner cavity (134), the inner cavity (134) having a mating end for engaging with a charging component (100) and connected to a power cable (105). The vehicle charging system includes a charging controller (30) for controlling vehicle charging along the DC charging terminal. The vehicle charging system includes an arc sensor (34) in the inner cavity configured to detect an arc event at the mating end of the DC charging terminal. The arc sensor includes a photodetector (180) having a multimodal diversity detector configured to detect light from the arc event in a first mode and to detect arc noise characteristics from the arc event in a second mode. The arc sensor is operatively coupled to the charging controller to control vehicle charging upon detection of an arc event.

A vehicle charging system (10) for an electric vehicle (14) comprises a housing (102) with a DC charging port (108) held by the housing in an internal cavity (134), with a connection end for connecting to the charging device (100) and connected to a power cable (105). The vehicle charging system includes a charge controller (30) for controlling the vehicle charging along the DC charging port. The vehicle charging system includes an arc sensor (34) in the internal cavity, configured to detect an arcing event at the connection end of the DC charging port. The arc sensor includes a light detector (180) with a multimodal diversity detector, configured in a first mode to detect light from the arcing event and in a second mode to detect an arcing noise signature from the arcing event.The arc flash sensor is operationally coupled to the charge controller to control the vehicle charging when an arc flash event is detected.

The application provides a multi-parameter optical fiber sensing on-line monitoring system and method for gas insulated equipment. The sensing system comprises a near-infrared broadband light source, a fiber splitter, a fiber tunable filter, a fiber coupler, a four-core optical cable, a fiber multi-parameter sensing probe, a signal processing circuit board, an arrayed waveguide grating, a fiber array and a photodiode array. Three Fabry-Perot interferometers are integrated in a micro fiber multi-parameter sensing probe to realize high sensitivity sensing of multi-parameters such as decomposition products, partial discharge ultrasonic waves and air pressure in a sulfur hexafluoride gas insulated equipment. By sharing and multiplexing the near-infrared broadband light source and the spectral detection part, the system structure is greatly simplified and the system cost is reduced. The excitation light and the detection light in the system are transmitted by optical fibers, and the sensing probe does not contain electrical elements, so it has anti-electromagnetic interference and long-distance sensing capability. The application provides a highly competitive technical solution for multi-parameter on-line monitoring of gas insulated equipment.

The present application relates to the technical field of power equipment detection, and discloses a GIS foreign matter identification and positioning method and system based on a multi-perception double-stage fusion network, which synchronously collects ultra-high frequency, ultrasonic wave and pulse current signals of GIS partial discharge through multi-modal sensors, constructs a discharge pulse correlation octree after clock synchronization and adaptive noise reduction, completes foreign matter identification by adopting double-stage fusion of feature level and decision level, realizes accurate positioning of the discharge source in combination with time difference method initial positioning and bisector iteration, and further restores foreign matter motion trajectory, evaluates discharge risk and outputs graded early warning instructions. The present application can effectively correlate multi-modal features, eliminate information redundancy, improve GIS foreign matter identification accuracy and positioning precision, and realize dynamic evaluation and graded early warning of discharge risk.