48results about How to "Fault accurate" patented technology

Embodiments of the present invention provide a method and an apparatus for monitoring and positioning faults in a power distribution network. The method mainly comprises steps that a power distribution line online monitoring unit distributed on a branch of a power distribution line determines a short circuit fault of the power distribution line according to the detected load current changes of the power distribution line, transmits the short circuit fault information of the power distribution line to a power distribution single-phase grounding comprehensive protection apparatus and a fault information processing apparatus; and the fault information processing apparatus, based on preset determination information, performs fusion processing on the short circuit fault information sent by the power distribution line online monitoring unit, and acquiring fault position information of the short circuit fault information. According to the embodiments of the invention, multiple power distribution faults such as short circuits, open circuits, single-phase grounding can be accurately detected; faults in the power distribution network are comprehensively solved; accidents are not enlarged; the equipment is protected; risks that people get electric shocks are reduced; and the selection of a fault line and the positioning of a fault point can be realized rapidly and accurately.

The present invention discloses an online fault diagnosis method for non-stationary fault characteristics of a million-kilowatt supercritical unit. The method disclosed by the present invention aims at the non-stationary and complex and changeable characteristics of the fault process of a million-kilowatt supercritical unit, and combines the co-integration analysis and the variable selection baseddual model for fault diagnosis. According to the method disclosed by the present invention, the non-stationary characteristics of the fault process of large coal-fired units are overcome, potential information contained in the faults is fully exploited, a dual diagnostic model is established to supplement each other, the problem of the difficulty in online diagnosis in the complex and non-stationary fault process is effectively solved, the performance of online diagnosis in the non-stationary fault process is greatly improved, and the on-site engineers can accurately repair the faults in a facilitated manner, so that the safe and reliable operation of the million-kilowatt ultra-supercritical generator unit is ensured, and production efficiency is improved.

The invention provides a method and a device for detecting failures of a network channel. The method comprises the following steps: one or more detection point modules respectively record the detection information of a detection message, wherein the detection point modules are arranged in a home terminal, an opposite terminal and / or a network channel, and the detection message comprises one of the followings: a first detection message sent to the opposite terminal by the home terminal through the network channel and a second detection message sent to the home terminal by the opposite terminal through the network channel; the detection point modules report the detection information which is used for determining the fault points of the home terminal, the opposite terminal and / or the network channel. The invention solves the problem that in related technologies, the fault point in the network channel can not be determined, thereby improving the efficiency in detecting failures in the network channel and improving the accuracy and precision in detecting failures in the network channel.

The invention discloses a transformer monitoring system and a monitoring method. The transformer monitoring system comprises a transformer operating condition detection device and a monitoring device, and is characterized in that the monitoring device comprises a microprocessor, a data memory and a communication module, the transformer operating condition detection device comprises a temperature detection module, a current sensor, a voltage sensor, a oil level sensor and a noise sensor, and the temperature detection module comprises a first temperature sensor, a second temperature sensor and a third temperature sensor. The monitoring method comprises the steps of firstly, detecting operating conditions of a transformer in real time, and uploading the detection information synchronously; secondly, storing operating condition information of the transformer; and thirdly, analyzing and processing the operating state information of the transformer, and outputting a fault diagnosis result. According to the invention, the temperature, current, voltage, oil level and noise of the transformer can be monitored timely and accurately, thereby ensuring efficient and safe running of the transformer, and reducing failures.

The invention discloses a vehicle electric control system fault quick retrieval method. The vehicle electric control system fault quick retrieval method comprises the steps: obtaining a VIN (Vehicle Identification Number) for a vehicle through OBD (On Board Diagnostics); obtaining a manufacturer according to the first three digits of the VIN, and automatically starting a corresponding vehicle model diagnosis software; if the VIN is not obtained through OBD, selecting the corresponding vehicle information software, reading an engine electric control system, and supplementing the VIN information; and if the VIN information is not complete, quitting retrieval. The invention provides a vehicle electric control system fault quick retrieval method. The vehicle electric control system fault quick retrieval method has the advantages of being able to automatically acquire the VIN and automatically identify and diagnose the software, accurately positioning the electric control system of the whole vehicle, reducing the time for retrieving the fault of the electric control system, being more accurate in retrieval and diagnosis of the electric control system fault of the whole vehicle, and being clearer in retrieval and diagnosis of the electric control system fault of the whole vehicle.

The invention discloses a pilot protection system and method based on virtual transition impedance in the technical field of power system relay protection. The system comprises a data reading module, a protection computing module and a protection action module. The data reading module is connected with the protection computing module and the protection action module respectively. The protection computing module and the protection action module are connected. The method comprises the steps that sequence voltages at the two ends of a line, sequence currents at the two ends of the line, line sequence impedance and line to-ground sequence capacity are collected, the sequence virtual transition impedance of the line is computed, whether a protection criterion starting condition is met is determined, and under the condition that the protection criterion starting condition is met, whether tripping signals are sent is determined. A criterion is fault total-quantity construction criterion after fault, line fault recognition is accurate, and line capacity does not need to be compensated.

The invention discloses a fault diagnosis method and device for a nuclear detector. The fault diagnosis device is connected with the nuclear detector, under the normal working condition, signal data of a digital forming circuit, a simulation amplification circuit and a nuclear probe of the nuclear detector are collected through the fault diagnosis device, characteristic information of the nuclear detector can be extracted in a data processing manner, and a data information base in a normal state can be established by extracting the characteristic values of the data. When faults occur or are about to occur, one or more of characteristic parameter information can be changed, so as to be different from parameter information under the normal working condition. When the nuclear detector is used for monitoring or detecting, the characteristic parameter can be obtained through acquiring the obtained data and by adopting a data analysis method, whether the nuclear detector has an abnormal fault is judged by difference through comparing the characteristic parameter and the information of the data information base, and the type and the position of the faults can be judged, so that the intelligent judgment on the faults of the nuclear detector can be realized.

The invention relates to the technical field of electronics, in particular to a partial discharging point locating device for a GIS type test based on vibration detection. The partial discharging point locating device comprises an upper computer and partial discharging locating terminals in wireless connection with the upper computer, and the number of the partial discharging locating terminals is at least six. The partial discharging point locating device is high in intellectualization degree, GIS barrel wall vibration signals and discharging sound signals are obtained through the partial discharging locating terminals, collected energy data are analyzed through A / D conversion and weighted processing, and therefore a discharging point is judged, and the aim of real-time insulation fault locating is achieved. The device can achieve control over the partial discharging locating terminals and read corresponding data, and the data are displayed on the display screen of the upper computer. An ultra-low power consumption circuit is adopted in the circuit of the device, and energy conservation and environmental protection are achieved.

The embodiment of the invention discloses a data acquisition monitoring method and device. The heartbeat data reported by a first type of slave server are acquired, wherein the heartbeat data include data volume information of files required to be acquired by the first type of slave server and the completely acquired data volume information of the files; and whether the first type of slave server fails to work for the acquisition process of the files is judged according to the data volume information of the files required to be acquired by the first type of slave server and the completely acquired data volume information of the files, and the data after the position of the failure in the files is the last completely acquired data of the files are located when the first type of slave server fails to work for the acquisition process of the files. The failure occurred in the distributed acquisition process of the business log data can be rapidly discovered and accurately located based on the heartbeat data.

The invention provides a network fault detection method and a network fault detection device, and relates to the communication technology field. Business operation in a network is guaranteed. The network fault detection method comprises steps that a network fault detection instruction of a client is received, and comprises an identification of a to-be-detected tunnel; network elements included by the to-be-detected tunnel are determined according to the identification of the to-be-detected tunnel; message counting instructions are transmitted to the network elements, and the network elements are used to count a number of messages received and / or transmitted by the network elements according to the message counting instructions; message counting results transmitted by the network elements are received, and whether the faults of the network elements occur is determined according to the message counting results, and the message counting results comprise the number of the messages received and / or transmitted by the network elements. The network fault detection method and the network fault detection device are mainly used for a PTN technology.

The invention discloses an equipment management method and system based on a smart cloud service, and the method comprises the steps of obtaining the basic information of a first type of device, and storing the basic information of the first type of device in a first cloud storage; analyzing the basic information of the first type of equipment stored in the first cloud memory according to the first analysis instruction to obtain a parameter set of the first type of equipment; analyzing the basic information of the first type of equipment according to the second analysis instruction to obtain a fault set corresponding to the parameter set, constructing a mapping relation based on the parameter set and the fault set, and obtaining a first data set according to a construction result; obtaining a first classification instruction, and performing data classification on the first data set according to the first classification instruction to obtain a first data classification result; and constructing a multi-level cloud management model of the first type of equipment based on the first data classification result. The technical problem that equipment troubleshooting is not intelligent, timely and accurate enough in the prior art is solved.

The invention relates to an early fault warning method for a high-voltage cable, and belongs to the field of early fault warning of high voltage cables. The method comprises that a neighborhood preserving embedding method is combined with a principal component analysis method, and a structural characteristic of cable fault data is obtained; a T2 statistic quantity and an average error prediction statistic quantity are selected as characteristic quantities of early fault warning; control limits of the T2 statistic quantity and average error prediction statistic quantity of a normal sample serveas threshold criteria of early fault warning of the high-voltage cable, and a main abnormity index is determined according to contribution of characteristic indexes; and the control limit of the normal sample is compared with the T2 statistic quantity of data to be measured, and if the T2 statistic quantity of the data to be measured exceeds the control limit, it is considered that a fault occursin the high-voltage cable, and otherwise, the cable is normal. According to the method, characteristic can be extracted from the cable fault data effectively, the anti-interference performance is high, different faults can be distinguished, and a fault of the high-voltage cable can be predicted accurately.

The invention relates to a touch controller, a touch-control panel including the touch controller and a method of detecting a circuit fault. The touch controller includes a comparing unit and a judging unit, wherein the comparing unit is used for comparing a received initial signal with a reference value; if the deviation between the initial signal and the reference value exceeds a preset threshold value, it is determined that the touch-control circuit fault exists at a position corresponding to the initial signal. Therefore, even after a product leaves a factory, the condition of a touch-control circuit can be detected at any time, and the fault in the touch-control circuit can be found; besides, according to several embodiments, the position where the fault occurs in the touch-control circuit can also be accurately positioned, and detected faulty results can be stored and displayed.

The invention discloses an aircraft electromechanical actuation system fault detection method based on an extended state observer. The method comprises the following steps: A, establishing a nonlinear model of the aircraft electromechanical actuation system: converting nonlinear factors and input unknown interference of the system into a dynamic model of the system based on actuation mechanics and structural characteristics of the aircraft electromechanical actuation system; and B, designing a fault detection method based on the threshold of the extended state observer: the extended state observer generating an estimated value of the composite interference to realize estimation of the composite interference and detection of a fault error so as to ensure the boundness of the interference observation error. The method has the advantages that estimation of composite disturbance including input disturbance and nonlinear factors can be generated, faults in the system can be effectively detected, the adopted fault detection method has high robustness for nonlinear influences and unknown interference of the system, the faults of the system can be accurately detected, and the false alarm rate is reduced in time.

The invention provides detection method, equipment and system of an address bus. The method comprises following steps of: respectively writing first detection data and second detection data into a first special address and a second special address, wherein binary numbers corresponding to the first special address and the second special address consist of alternate high-low levels; respectively carrying out an inverting operation on the data written into the first special address and the second special address according to the position by using a functional chip; respectively acquiring first reference data and second reference data by reading the first special address and the second special address; and carrying out XOR operation on the first reference data and the second reference data and detecting the fault condition of the address bus according to an operation result. The invention also provides a detection method of another address bus, a central processor, a functional chip and adetection system of the address bus. The invention realizes the accurate detection on faults of the non-memory functional chip and has the characteristics of simple process, high efficiency and shortdetection time for the detection method.

The invention provides a controller fault detection system of an intelligent transmitter. The controller fault detection system comprises a logic fault detection module, a fault current control module, a fault current output module and a power source. The logic fault detection module is connected with a controller of the intelligent transmitter, the fault current control module is connected with the logic fault detection module, and the fault current output module is connected with the fault current control module. The fault current control module is further connected with the controller, and the power source end of the fault current output module is connected with the power source. The fault of the controller of the intelligent transmitter can be accurately detected, complex circuit connection can be avoided, and it can be ensured that the logic control of the controller is accurate and clear; the structure is simple, and the using cost is effectively lowered.

The invention provides a circuit and a method of a DEBUG card used for simulating server input voltage abnormality. Firstly, a PSU power supply is used to supply power to a server motherboard throughthe DEBUG card, and the motherboard works normally; then an output voltage value and duration of a DC SOURCE are adjusted, power supply mode switching is carried out on the two power supplies of the PSU and the DC SOURCE through a switch, and then input voltage of the motherboard is instantaneously changed; and a different shown phenomenon and BMC log of the motherboard for a different voltage value and different duration are compared with an original fault phenomenon and BMC log, and a fundamental cause of the motherboard work abnormality is positioned. According to the technical scheme of the invention, operations are simple, for different abnormality phenomena, the output voltage value is adjusted through the DEBUG card to reproduce the abnormality phenomena, fault positioning can be rapidly carried out, and problem analysis efficiency is greatly improved. The circuit and the method are suitable for use in input voltage abnormality investigation of all server motherboards on markets, realize accurate positioning for faults, and are high in generality.

The invention discloses a mini-inverter fault detecting method based on a neural network expert system. The mini-inverter fault detecting method includes: step 1, building an initial knowledge base, step 2, confirming a neural network topology structure and network parameters, and building an expert system based on the neural network comprising an input layer, a middle layer and an output layer, and step 3, sending data detected in real time to the expert system through a data processing module of the neural network expert system, calling data from the knowledge base by the expert system to compare the data with the data detected in real time, judging whether the system is faulted or not by the aid of speculation and analysis of an inference engine, outputting faulted information, timely detecting fault, providing related handing information and adopting multi-layer inputting topological structure. The mini-inverter fault detecting method is simple, efficient and high in detecting accuracy, so that maintenance staff can fix the fault as soon as possible, and loss and hazard caused by the fault can be prevented.

The invention discloses a power transmission line fault monitoring method. The method comprises the following steps: collecting a first tension and a second tension at two ends of a power transmission line and a first sag of the power transmission line in an experimental environment, and solving a resultant force according to the first tension and the second tension; solving the first wind power according to the resultant force and the standard gravity; solving a linear relation between the wind power and the sag; solving a real-time resultant force according to the first real-time tension and the second real-time tension; solving real-time wind power according to the real-time resultant force and the standard gravity; and according to the linear relationship between the wind power and the real-time sag, the real-time wind power and the real-time sag, judging whether the power transmission line has a power transmission line fault caused by damage and strand breakage. According to the invention, when the power transmission line breaks down, whether the power transmission line breaks down due to damage and strand breakage can be effectively judged, the fault of the power transmission line can be accurately judged, the fault judgment time is effectively saved, and the fault maintenance efficiency is effectively improved.

A computer video monitoring device with a terminal fault early warning function comprises a management platform server, a hand-held terminal and monitoring units arranged at all monitoring sites, wherein each monitoring unit comprises an infrared lamp, a camera and an encryption chip, the camera is connected with the management platform server by the encryption chip, and an analysis module is connected to the management platform server; the infrared lamp is connected with a light sensor; the management platform server is further in remote signal connection with the hand-held terminal with a 3G communication function by a 3G communication module. According to the computer video monitoring device with the terminal fault early warning function, the plurality of cameras connected with the management platform server are used for monitoring all monitoring sites in real time and are in centralized management on the management platform server uniformly, whether a fault occurs to the terminal can be judged timely and accurately, and the automation degree of the whole system and the working efficiency of the security management center are improved.

The invention relates to a transformer fault diagnosis method and device based on vibration stripes. The transformer fault diagnosis method based on vibration stripes comprises the steps of acquiringhealthy vibration stripes and inspection vibration stripes of a transformer; calculating the confidence coefficient between the inspection vibration lines and the health vibration lines; and judging whether a transformer fails or not according to the confidence. Misjudgment caused by magnitude change due to load change can be effectively avoided, so that accurate, stable and reliable monitoring ofthe transformer is realized.

The invention discloses an anemograph fault diagnosis method and system for wind generating sets. The method comprises the steps that firstly, full-performance power generation data of each wind generating set in a period of time are acquired; according to the full-performance power generation data, the average wind speed V, the environment temperature mean value Tout, the power curve evaluation value K and the optimal tip speed ratio TSR_opt of each wind generating set in a period of time and the minimum wind speed value Vmin corresponding to the optimal tip speed ratio TSR_opt of each wind generating set in a period of time are obtained; and one or more of the average wind speed V, the environment temperature mean value Tout, the power curve evaluation value K, the optimal tip speed ratio TSR_opt and the minimum wind speed value Vmin serve as sensitive characteristics of an anemograph and are input into a pre-constructed anemograph fault diagnosis model, and an anemograph fault diagnosis result is obtained. The method and system have the advantages of quickly and accurately identifying anemograph faults and the like.

The invention discloses a power transmission and transformation equipment fault diagnosis system, which comprises a power transmission equipment data module, a power transformation equipment data module, a data processing module, a data analysis module and a display module, wherein the power transmission equipment data module is used for acquiring power transmission equipment data; the power transformation equipment data module is used for acquiring power transformation equipment; the data processing module is used for managing a data processing unit which is used for processing data acquired by the power transmission equipment data module and the power transformation equipment data module; the data analysis module is used for selecting electric power equipment corresponding to processed data for analysis according to the data processed by the data processing module; and the display module is used for displaying an analysis result of the data analysis module. Through the data link among the modules, the power transmission and transformation equipment fault diagnosis system completes comprehensive analysis and evaluation on electric power equipment fault data, thereby being capable of diagnosing faults of electricity utilization equipment precisely.

The invention discloses a ring network cable early fault early warning and positioning system and method based on transient disturbance. The system comprises a central processing unit. According to the looped network cable early fault early warning and positioning system and method based on transient disturbance, through arrangement of the monitoring unit, it is ensured that the fault of the looped network cable is accurately monitored, the working connectivity of the cable is ensured, and bad influences on a user due to power failure are avoided; by arranging the fault positioning unit, multiple types of fault points can be quickly found and positioned, so that related maintenance personnel can be informed to go to repair, the positioning is accurate, the automation degree is high, and the daily monitoring and maintenance of power cables by workers are facilitated; by arranging the maintainer login unit and the management operation unit to evaluate the ability of maintainers, the working enthusiasm among the maintainers is improved, the fault removal speed is increased, and the effect of removing faults at the highest speed is achieved.

The embodiments of the invention relate to the technical field of fault detection, in particular to a methodand devicefor determining a fault of a liquid level meter,and an electronic device. According to the method for determining the fault of the liquid level meter,the obtained value of the flow rate of cooling water is used for calculatinga first liquid level change value of a gas cooler withina set time period, by the first liquid level value and a second liquid level value collected by the liquid level meter is used forcalculating and obtaining a second liquid level change value, and whether the liquid level meter is faulty or not is determined according to the first liquid level change value and the second liquid level change value; if the liquid level meter is faulty, then an alarmprompt is outputted, this way, the malfunction of the liquid level meter can be quickly and accurately determined.

The invention discloses a ventilation cooling ring main unit fault diagnosis method, and particularly relates to the technical field of ring main unit monitoring. A modeling disconnection fault method database is built, the temperature and humidity of the environment in a ring main unit, the temperature and humidity of a wire box, the temperature and humidity of a switch room, and the temperature and humidity of a cable trough are detected through a temperature sensor and a humidity sensor, current and voltage values of each output / input cable port are detected through a current detector and a voltage detector, when a monitoring signal is transmitted to a computer terminal, signal amplification is carried out on the received tail end in a signal coupling mode, and an infrared thermal image of a heat source of an internal component of the ring main unit in operation is obtained, so the thermal information of each cable port is visualized, the fault is effectively positioned and is convenient to analyze and guide, the fault does not need to be detected in a power-off mode, the purpose of judging the fault information through real-time online monitoring data can be achieved, the fault can be accurately detected, and fault diagnosis of the ring main unit is facilitated.

The invention discloses an online fault diagnosis method for the non-stationary fault characteristics of a million-kilowatt ultra-supercritical unit. The invention aims at the non-stationary, complex and changeable characteristics of the failure process of the million-kilowatt supercritical unit, and combines cointegration analysis and dual models based on variable selection for fault diagnosis. This method overcomes the non-stationary characteristics of the fault process of large coal-fired units, fully excavates the potential information contained in the faults, and establishes a dual diagnosis model, which complements each other and complements each other, effectively solving the problem of difficult online diagnosis of complex non-stationary fault processes. problem, which greatly improves the performance of online diagnosis of non-stationary fault process, and helps field engineers to accurately repair the fault, thus ensuring the safe and reliable operation of million-kilowatt ultra-supercritical generating units and improving production efficiency.

The invention discloses a method for calculating temperature rise in a double-frequency quenching machining transition process. The method comprises three steps of data collection and storage, data processing and analysis and data diagnosis and alarm. According to the design, a multivariate data analysis method is adopted to accurately reflect fault information in the system, coupling of multiplevariables in the system is analyzed, a new comprehensive index is formed, and the new index can comprehensively reflect faults occurring in an original system. The design not only can accurately reflect the fault type of the immersed pump and effectively improve the reliability of an immersed pump system, but also is wide in application range and low in manufacturing and operating cost.

The invention provides an exhaust sensor fault detection method and device, an air conditioner and a storage medium. According to the temperature interval where the temperatureTh of an outdoor evaporator before starting up is located, when the temperature of an outdoor heat exchanger before starting up is lower than a second preset threshold value, air conditioner control is executed with the default exhaust temperature in the starting up process; when the temperature of the outdoor heat exchanger before starting is not lower than the second preset threshold value and is lower than a first preset threshold value, sensor faults are detected after normal heating is met; and when the temperature of the outdoor heat exchanger before starting is not lower than the first preset threshold value, conventional sensor fault detection is executed. According to the exhaust sensor fault detection method disclosed by the invention, the problem that the exhaust sensor fault is misreported at the extreme low temperature is solved, so that the air conditioner operates normally at the default exhaust temperature, the phenomenon that the exhaust sensor misreports the open-circuit fault during the starting is avoided, and the reliability of system operation is improved.

The embodiment of the invention discloses a data acquisition monitoring method and device. The heartbeat data reported by a first type of slave server are acquired, wherein the heartbeat data include data volume information of files required to be acquired by the first type of slave server and the completely acquired data volume information of the files; and whether the first type of slave server fails to work for the acquisition process of the files is judged according to the data volume information of the files required to be acquired by the first type of slave server and the completely acquired data volume information of the files, and the data after the position of the failure in the files is the last completely acquired data of the files are located when the first type of slave server fails to work for the acquisition process of the files. The failure occurred in the distributed acquisition process of the business log data can be rapidly discovered and accurately located based on the heartbeat data.