22results about How to "Improve fault detection efficiency" patented technology

The present application relates to the technical field of smart grid, especially to a kind of intelligent power distribution cabinet with fault detection function and detection method.The present application can accurately obtain state data and analyze state data by obtaining unit and data analysis unit;Multiple AI analysis models in edge computing unit can accurately analyze equipment state results, and can improve the efficiency of power distribution cabinet fault detection;Through the decision unit, multiple equipment state results are fused using the preset rules to obtain accurate fault information, and the execution module in the control unit is driven based on the accurate fault information to act;Finally, the analysis unit determines the fault detection state based on the fault suppression success rate within the preset period, and adjusts the corresponding parameters based on the fault detection state, so as to more accurately analyze the fault.The present application improves the fault detection efficiency of power distribution cabinet.

Embodiments of the present application disclose a power transformation equipment fault detection method and device and electronic equipment, comprising: obtaining running audio data and running vibration data of a to-be-tested power transformation equipment in a target time period; dividing the running audio data into a plurality of audio sub-data according to a preset time interval, to determine a stationary attribute of the running audio data based on the similarity between the plurality of audio sub-data; in the case that the stationary attribute of the running audio data meets a preset condition, inputting the running audio data and the running vibration data into a pre-trained fault detection model to determine a fault category of the to-be-tested power transformation equipment, most signals of the power transformation equipment in a stable running state can be discarded, and more dimensional fault features can be captured through joint analysis of audio and vibration signals, comprehensiveness, detection efficiency and accuracy of power transformation equipment fault recognition are improved.

The utility model relates to the field of power distribution cabinets, in particular to a power distribution cabinet protection device, which comprises a protection box body, a main body used for providing protection capability for a power distribution cabinet, fixing bolts and reinforcing plates penetrating through two sides of the outer part of the protection box body and used for threaded connection, and outer impact pads are fixedly arranged outside the reinforcing plates. The power distribution cabinet protection device is provided with the reinforcing plate, the outer impact pad, the high-frequency current transformer, the temperature sensor, the inner protection frame, the vacuum arc extinguish chamber and the vacuum fuse switch. The protection box body, the external reinforcing plate and the external impact pad enhance the impact resistance and protection capability of the power distribution cabinet, physical protection is formed outside the power distribution cabinet, then the high-frequency current transformer and the temperature sensor are further arranged on the two sides of the power distribution cabinet components inside the power distribution cabinet body, and the high-frequency current transformer is used for detecting internal circuit faults.

This application provides a method and system for detecting faults in motor electrical control. It divides the control anomaly segment of the driver output circuit into sections based on the control anomaly type in the operating status information and determines the fault change trend. The fault reliability of the motor driver output circuit in the event of control failure is determined from the fault change trend. When the motor driver receives a fault self-test command, it triggers a motor self-test and outputs the fault response rules of the motor driver within the operating interval. The fault sensitivity characteristics of the response on the motor electrical control loop are determined based on all feedback current values ​​and the fault response rules within the operating interval. A fault diagnosis cycle for the motor electrical control circuit is generated based on the fault reliability and fault sensitivity characteristics, and the fault point in the motor electrical control circuit is located and detected according to the fault diagnosis cycle. Using the scheme of this application, accurate fault prediction can be achieved through collaborative prediction of motor operating status information, thereby improving the reliability of fault diagnosis.

The application discloses a kind of sensor fault detection method and device of structural health monitoring system, it is related to structural health monitoring technical field, comprising: obtaining the nonlinear structure monitoring data of sensor system collected by structural health monitoring system, nonlinear structure monitoring data is handled using improved geometric PNL hybrid model, obtain linear to-be-separated mixed signal, using FastICA model to process to-be-separated mixed signal, obtain multiple independent elements, determine the separation matrix of improved geometric post-nonlinear independent component analysis model according to multiple independent elements, using the processing of improved geometric post-nonlinear independent component analysis to real-time collection nonlinear structure monitoring data, determine whether sensor system exists fault and the sensor of fault occurrence.The method can still complete linearization processing to sensor mixed signal under the condition that prior knowledge is unknown, compared with simple linear ICA analysis algorithm, it is more suitable for complex nonlinear structure.

The embodiment of the application provides a kind of fault detection method and device, electronic equipment and storage medium, belong to nuclear power safety detection technical field.The method comprises: the abnormality detection of the water level of stabilizer, judges operation type;If abnormal, obtain stabilizer water level, one loop system initial temperature, main pump shaft seal injection flow, backwater flow, upper charging pipeline flow and lower discharge pipeline flow.Initial leakage rate of stabilizer is calculated according to initial temperature and water level height.Basic fault identification is carried out by stabilizer water level, initial leakage rate, main pump shaft seal injection flow and main pump shaft seal backwater flow, to judge whether there is basic fault.If there is no fault, obtain orifice type and system discharge flow, reference fault identification is carried out according to stabilizer water level, orifice type, upper charging pipeline flow, lower discharge pipeline flow and system discharge flow, to obtain reference fault type.The embodiment of the application can improve the efficiency of fault detection.

The invention relates to the technical field of household appliances, and discloses a single-chip microcomputer fault detection method and device, a household appliance and a storage medium, and the method comprises the steps: carrying out the initialization configuration of the working state of each output pin of a single-chip microcomputer; circularly detecting the input level of each output pin within a first time, and determining whether an abnormal output pin with an abnormal input level exists or not; if the abnormal output pin with the abnormal input level exists, the input level of the abnormal output pin is detected again within second time after the single-chip microcomputer is subjected to power-on reset; based on the detection result, determining a fault detection result of the single-chip microcomputer; hardware hidden dangers are found in advance before the system is put into formal work, the purpose of single-chip microcomputer fault self-detection is achieved, single-chip microcomputer fault recognition accuracy is improved, and household appliance operation efficiency is improved.

The application discloses a tire fault detection method and device, electronic equipment and computer readable medium, relates to the technical field of computers, and the method comprises the following steps: in response to triggering a tire detection task, acquiring multi-modal detection data for a target tire, determining the type of the multi-modal detection data and the detection task; according to the type and the detection task, the multi-modal detection data is allocated to the corresponding fault detection agent, the fault detection agent carries out fault detection on the multi-modal detection data allocated based on the corresponding detection task, and a fault detection result is obtained, the fault detection agent comprises an appearance defect detection agent, an internal structure detection agent and an operating state detection agent; the fault detection result is summarized and input to a decision and report generation agent, the decision and report generation agent carries out comprehensive decision based on the summarized fault detection result, and a tire fault detection result is obtained. The tire fault detection cost is effectively reduced, and the tire fault detection efficiency and accuracy are improved.

The application provides a fault detection method and device and a storage medium, relates to the technical field of communication, and is used for solving the problem of low efficiency of manual fault checking in the prior art. The method comprises the following steps: acquiring a plurality of first test information sent from a plurality of source nodes to a destination node; the plurality of source nodes are nodes in a plurality of metropolitan area networks in a first region; the destination node is a node in a second region; determining the number of abnormal test information from the plurality of first test information, and determining a fault region according to the number of abnormal test information; acquiring a plurality of second test information sent from the plurality of source nodes to the destination node corresponding to the abnormal test information; and determining the node position of a fault node according to the plurality of second test information and the fault region. The application improves the efficiency of fault detection.

The utility model relates to a detection device of an aircraft attitude control system, which belongs to the technical field of aircraft detection, and comprises a first clutch, the first clutch comprises a first microswitch and a first electromagnet coil, and the detection device comprises a power supply module and a first indicating lamp; the common end of the first microswitch is grounded, and the power supply module, the first indicating lamp and the normally open end and the common end of the first microswitch are sequentially connected to form a second loop; the power supply module, the first electromagnet coil and the normally closed end and the common end of the first microswitch are sequentially connected to form a first loop. Whether the working state of the clutch of the aircraft attitude control system is normal or not is judged by directly observing the pull-in state of the first clutch and the on-off state of the first indicator lamp, the purpose of rapidly detecting the clutch is achieved, and the aircraft fault detection efficiency is effectively improved.

The embodiment of the invention provides a passive optical network (PON) fault detection method, which comprises the following steps of: sending a first downlink optical signal through an optical line terminal (OLT), and receiving a reflection superposition signal from a plurality of branch optical fiber links, and the branch optical fiber links are provided with devices for changing the characteristics of the optical signal; and the OLT determines a fault of the branch optical fiber link based on the reflection superposition signal and a preset downlink change signal. The problem that fault detection cannot be rapidly and accurately carried out in a point-to-multipoint PON topology system in the prior art is solved, and the effect of improving the efficiency and accuracy of fault detection in the point-to-multipoint PON topology system is achieved.

The utility model discloses an integrated comprehensive on-line monitoring device for a transformer, which comprises a shell and is characterized in that a chromatography sensing mechanism, a partial discharge detection mechanism and a winding temperature detection mechanism are arranged in the shell, and the chromatography sensing mechanism comprises a stepping motor (1). The working end of the stepping motor (1) is connected with a piston (3) movably connected in an air cylinder (2) through a lead screw, an inner cavity of the air cylinder (2) is respectively communicated with an oil-gas separation device (6) and a chromatographic column (8) through a first pipeline (4) and a second pipeline (5), a first one-way valve is arranged on the first pipeline (4), a second one-way valve (10) is arranged on the second pipeline (5), and the first one-way valve (10) is connected with the piston (3). Gas in the oil-gas separation device (6) can enter the air cylinder (2), and gas in the air cylinder (2) can enter the chromatographic column (8).

The application provides a kind of electric control silicone oil fan clutch fault detection method and device, the method includes: the electronic control unit of the vehicle to be tested responds to test instruction, obtains the fan speed of fan at the full engagement state of electric control silicone oil fan clutch, determines fan speed ratio based on fan speed and idle speed;Control engine from idle speed to set speed operation;Control electric control silicone oil fan clutch in the state of engine at set speed operation is separated, obtains the separation performance parameter of electric control silicone oil fan clutch;Based on separation performance parameter, separation fault detection is carried out to electric control silicone oil fan clutch;Control electric control silicone oil fan clutch in the state of engine at set speed operation is engaged, obtains the engagement performance parameter of electric control silicone oil fan clutch based on fan speed ratio;Electronic control unit is based on engagement performance parameter, engagement fault detection is carried out to electric control silicone oil fan clutch.

Embodiments of the present disclosure provide an application program detection method and device and a storage medium. The method comprises: obtaining initial code information corresponding to a target application program to be detected, and obtaining loaded code information corresponding to the target application program; comparing a plurality of sequentially arranged initial byte information with a plurality of sequentially arranged loaded byte information one by one starting from the first byte information in the sequential arrangement; if the initial byte information is inconsistent with the loaded byte information, determining the loaded byte information and a preset number of loaded byte information after the loaded byte information, adding the loaded byte information and the preset number of loaded byte information to a preset file, and continuing to compare the next byte information of the preset number of loaded byte information; and in response to the comparison between the plurality of sequentially arranged initial byte information and the plurality of sequentially arranged loaded byte information being completed, detecting program error information in the target application program through the preset file. The application can improve the fault detection efficiency of the application program.

The application discloses a street lamp fault detection method and device, an electronic device, and a storage medium. The method is executed by a roadside device, and the method comprises the following steps: acquiring a night road image and high-precision map data of a current road section; preprocessing the night road image by using a preset preprocessing strategy, to obtain a bright spot area in the night road image; determining a street lamp area in the night road image according to the night road image and the high-precision map data; and determining a street lamp fault detection result according to the bright spot area in the night road image and the street lamp area in the night road image. The street lamp fault detection method provided by the application can quickly and accurately detect the fault condition of a street lamp by using the street lamp data provided by a high-precision map and the bright spot area in a night road image, without manual inspection, so that the efficiency of street lamp fault detection is improved, and the detection cost is reduced.

This invention discloses an online monitoring method, system, equipment, and storage medium for the operating status of secondary equipment in substations, belonging to the field of power system monitoring technology. The method involves acquiring the status categories of each secondary device and constructing a secondary circuit model. The theoretical values ​​for each monitoring point are calculated using the model, and the residual vector is obtained by comparing the theoretical and measured values. The operating status is then determined based on the residual vector. A target fault set is selected by analyzing the similarity between the fault feature vector corresponding to a virtual fault and the residual vector. Within the target fault set, a correlation index for each virtual fault is determined based on the correlation between the disturbance vector and the residual vector, and a suspected fault set is selected based on the correlation index. Within the suspected fault set, the fault intensity of each virtual fault is calculated by constructing a fault location model. Virtual faults with a fault intensity greater than a set intensity value are used as detection results to provide early warnings for the operating status of the secondary equipment.

The utility model discloses a communication network fault rapid positioning tool, and mainly relates to a communication network fault detection tool. Comprising a detector, two keys are installed on the upper surface of the detector, a detection clamp is installed on one side of the detector, an adjusting structure is arranged on the lower surface of the detector, the adjusting structure comprises an auxiliary belt, the auxiliary belt is fixedly connected with the detector, a fixing block is fixedly connected to one side of the auxiliary belt, and the fixing block is fixedly connected with the detector. A connecting belt is fixedly connected to the lower surface of the detector, a plurality of fixing grooves are formed in the arc surface of the connecting belt, a connecting frame is fixedly connected to the lower surface of a fixing block, an inserting plate is slidably connected to the inner wall of the connecting frame, and an auxiliary plate is fixedly connected to the lower surface of the inserting plate. The utility model has the beneficial effects that the detector can be quickly fixed with the arm of a person, so that the person can conveniently overhaul the detector in the fault detection process, and the efficiency of detecting and maintaining network faults is improved.

This disclosure provides a method, apparatus, and electronic device for fault detection based on motor current signals. The method includes: acquiring a first current signal feature set of a first motor operating normally; the first current signal feature set includes a first DC component signal feature and a first ripple feature of the motor current; acquiring a second current signal feature set of the first motor operating at its current state; the second current signal feature set includes a second DC component signal feature and a second ripple feature of the motor current; and determining whether the first motor is faulty based on the first DC component signal feature, the second DC component signal feature, the first ripple feature, and the second ripple feature. This allows for proactive identification of potential problems before a fault occurs, reducing equipment wear and extending equipment lifespan; it also eliminates the need for manual inspections, improving fault detection efficiency.

This application provides a method and related equipment for identifying and issuing early warnings of potential hazards, belonging to the field of artificial intelligence technology. The method includes: acquiring video stream data and prior information; extracting transmission line channel data and core equipment monitoring areas from the video stream data based on the prior information; identifying transmission line channel data using a channel hazard identification model to obtain environmental hazard results; identifying core equipment monitoring areas using an equipment status monitoring model to obtain equipment fault results; generating early warning data based on the environmental hazard results and equipment fault results; obtaining manual review results corresponding to the early warning data; and updating the parameters of the channel hazard identification model and the equipment status monitoring model using an incremental learning strategy based on the early warning data and the manual review results. This application can improve the intelligent operation and maintenance level of transmission lines and the accuracy and real-time performance of monitoring and early warning.

The invention discloses an equipment screen projection method and device, equipment, a storage medium and a product, and the method comprises the steps: carrying out the equipment recognition of a screen projection peripheral in response to peripheral insertion information, carrying out the screen projection condition detection, and determining an equipment recognition result and a screen projection condition detection result; in response to the screen projection condition detection passing information, performing power-on operation on the video transmission chip and establishing communication with the screen projection peripheral, and determining current chip state information of the video transmission chip; in response to the successful handshake information with the screen projection peripheral, opening an audio / video channel, and determining current audio / video channel state information; and obtaining audio and video data of the screen projection peripheral through the audio and video channel, and performing screen projection playing. According to the equipment screen projection method disclosed by the invention, the state information is collected at each node in the whole screen projection process, so that the perception of an operator on the system state can be improved, and if a fault occurs, fault positioning can be assisted according to the information collected by each node, so that the fault detection efficiency is improved.

This application relates to a power board testing method, system, terminal, and storage medium, and pertains to the technical field of power board testing. The method includes acquiring power board parameter information of a preset power board under test; analyzing the power board parameter information to determine a power board test set; controlling a preset load control module to test the power board under test according to the power board test set to determine power board feedback data; and analyzing the power board test set, power board parameter information, and power board feedback data to determine the power board testing result. This application improves the efficiency of power board testing.

This invention relates to the field of power system protection technology, and discloses a lightning strike fault detection system and method based on multi-source data fusion. The system includes: a processing module for collecting multi-source distribution network datasets at the time of a lightning strike, preprocessing the datasets to obtain preprocessed multi-source distribution network datasets; an extraction module for extracting key data from the preprocessed datasets to obtain key distribution network datasets; and a detection module for analyzing the key distribution network datasets to determine whether a lightning strike fault has occurred based on the analysis results. This invention, by extracting key data from multi-source distribution network data, can accurately detect lightning strike faults in the distribution network, improving fault detection efficiency and avoiding misjudgments.