49results about How to "Implement failure analysis" patented technology

The invention discloses a method for the fault diagnosis of wind turbines on the basis of a genetic neural network, in particular to a method for modeling the fault diagnosis of wind turbines on the basis of the genetic neural network capable of learning the operating data of the wind turbines in the history, more particularly a method for judging the probability that faults occur to a gearbox, a generator and a yaw system by reading the real-time operating data of the wind turbines online and calling the diagnosis model of the genetic neural network to carry out the analysis on the real-time data, thus judging the fault state of the wind turbines. Based on the method combining the genetic algorithm with the neural network, the invention can achieve the algorithm complementation, improve the model convergence and diagnostic capacity and ensure higher robustness; and the method capable of carrying out the online monitoring and fault diagnosis on the operating state of the wind turbines on a real-time basis to take maintenance measures as soon as possible can improve the reliability of the wind turbines and reduce the maintenance cost.

The invention discloses a transformer station intelligent expert system based on editable formula scripts. The transformer station intelligent expert system comprises a real-time analysis display main module, an expert knowledge base offline configuration tool module, a knowledge database module, a processing unit in which an editable formula script preprocessing layer is combined with a rule mode matching layer, a discrete event dynamic comparison unit capable of configuring effective time domains, a rule condition delay effectiveness and delay return trigger mechanism unit and a configurable 'before happening' and 'after happening' correlation site information automatic collection unit. By the adoption of the scheme, information of a transformer station monitoring system, such as the electric quantity, signals, warning and events, can be processed in a unified and comprehensive mode, an expert knowledge base can be flexibly modified and extended, the expert system can accurately and timely assists transformer station operators on duty and maintenance staff in correctly judging and processing accidents and exceptions through intelligent warning and real-time online analysis, and therefore the new requirements oriented to digital and intelligent transformer stations are better met.

The system comprises wireless communication dedicated network and computer software management system. The dedicated network is composed of dedicated frequency channel, base station equipment, link transmission equipment and bus carried terminals. Computer software management system consists of subsystem of electric arranging buses and subsystem of dynamic monitoring. The system provides advantages of very low running expenses, large user capacity at single frequency point, fast information response speed, powerful linking ability of base station including individual call, group call and cluster call, automatic statistics for passenger flow of getting on and getting off as well as updating and down loading bus carried data wirelessly. Running condition of wireless network and fault analysis are monitored remotely. Computer software management system includes multifunctional subsystems assemble by user. The invention is suitable to areas of materials circulation, special vehicle etc.

The invention discloses fault analyzing and diagnosing device and method of a converter valve cooling system. The device and method are characterized in that the high-precision processing function of various special sampling information of the converter valve cooling system is realized, the real-time monitoring and remote storing function of the device fault working condition information of the converter valve cooling system, the comprehensive diagnosing function of the automatic fault analyzing and fault positioning of the converter valve cooling system is realized, and the emergency handling capacity of the converter valve cooling system is improved. With the adoption of the instrument, the reliability of safe running of the converter valve cooling system can be effectively improved, the emergency handling efficiency of the field technical person to the converter valve cooling system can be raised, and the abnormal stopping time of the device can be effectively reduced, and therefore, more economic benefit can be created, and a good market popularization and application prospect is brought.

The embodiment of the invention provides a distributed photovoltaic power station monitoring system based on virtual and real data fusion. The distributed photovoltaic power station monitoring system comprises a plurality of data sensors, a virtual-real fusion data subsystem, a digital domain, a communication interface and protocol conversion unit, the communication interface and protocol conversion unit is used for data communication among a physical domain, the virtual-real fusion data subsystem and the digital domain, and a data uplink information channel and a data downlink instruction channel are communicated; physical data and information data of each physical device of the distributed photovoltaic power station are collected through the virtual-real fusion data subsystem, so that the operation state synchronization of the physical model of the digital domain and each physical device of the distributed photovoltaic power station is realized. And fault analysis and control are realized through other models of the digital domain. Comprehensive real-time monitoring of the distributed photovoltaic power station and real-time identification and control of a fault state are realized; the physical model records the operation state of the physical equipment, so that virtual reproduction can be carried out for fault tracing after the fault occurs.

The invention discloses a hydropower station intelligent inspection system. The system comprises a data layer which is used for the collection, convergence, analysis, calculation and storage of the operation parameters and the environment data of the hydroelectric equipment, the real-time recognition, analysis and diagnosis of the images and audio data, and the transmission of the data to an application layer; an application layer which interacts with a user and is used for service agency, engine scheduling, integrated management, identity authentication and authority control; and a client which performs visual display, alarming, linked playback and event recording of the historical data according to the data of the data layer and the application layer. According to the present invention,the state of the hydroelectric equipment is monitored through image acquisition, audio data acquisition, data linkage, data recording and playback, and the machine identification of equipment defectsand faults is realized; the data acquisition and analysis are carried out through the inspection robot, the visible light camera, the infrared thermal imaging device and the audio acquisition device,and the manual inspection work of the hydropower station is replaced.

The embodiment of the invention provides a remote fault analysis method, a vehicle-mounted terminal, a server, equipment and a medium. The method comprises the steps of determining the vehicle-mountedterminal to be monitored; receiving a configured log uploading request sent by a server, wherein the log uploading request at least comprises a unique identity identifier of the vehicle-mounted terminal and a preset time period; in response to the log uploading request, capturing log data of a mounting point of peripheral equipment on the vehicle-mounted terminal in the preset time period according to the unique identity identifier; and sending the log data to the server so as to facilitate the server to perform fault analysis on the log data. The log data of the vehicle-mounted terminal is obtained remotely, the overall logs of abnormal points in front of and behind the whole vehicle-mounted terminal are obtained at the vehicle-mounted terminal and transmitted to the server, the server side directly analyzes the logs of the abnormal points, fault analysis of the vehicle-mounted terminal is achieved more conveniently, and the tracking time cost and economic cost are reduced.

The invention discloses a simulation platform for a rod control system of a pressurized water reactor nuclear power station. The simulation platform comprises a simulation and data acquisition cabinet, wherein the simulation and data acquisition cabinet comprises a simulation unit and a data acquisition unit, and the simulation unit outputs a simulation signal; the data acquisition unit acquires a process signal; a manual control console simulates a master control room and outputs a control signal; a logic cabinet produces a rod position movement command; a power cabinet comprises a circulatory monitoring logic unit and a silicon controlled rectifier circuit, and the circulatory monitoring logic unit controls the silicon controlled rectifier circuit to output a coil running signal; a load simulation cabinet simulates lifting and thrusting actions of a control rod according to the coil running signal; and a distribution box is used for power distribution of all the other cabinets. As the simulation platform for the rod control system of the nuclear power station comprises all typical equipment of the rod control system, on-site equipment failure analysis and maintenance of the rod control system, functional verification and burning of key equipment, and technical training and software and hardware operation training of on-site maintenance personnel of the rod control system are realized.

The invention discloses an elevator control circuit. The elevator control circuit comprises an elevator safety circuit, a lift car accidental movement protection relay, a releveling operation relay and a releveling state relay. According to the elevator control circuit, it is guaranteed that accidental movement of a lift car can be prevented, and the state of a door lock of a car door and the state of a door lock of a layer door can be precisely detected and distinguished. Furthermore, during detection, front and rear doors of an elevator are distinguished.

The invention discloses an electric energy meter metering data fault analysis method based on an improved AdaBoost algorithm, relates to the technical field of electric energy metering detection, andsolves the technical problems of low data processing speed, lagged data management mode and low application efficiency in the prior art. According to the invention, the method comprises the steps: constructing a four-layer architecture comprising a metering detection layer, a data transmission layer, a data fusion calculation layer and a data application layer; combining the Internet of Things technology, the big data analysis technology and the data communication technology, and achieving the sensing, transmission, analysis and calculation of metering detection fault data of the electric energy meter and monitoring of upper-layer data, so that an electric energy management user can remotely monitor metering fault information of the electric energy meter in an online and real-time mode. According to the invention, the intelligent level is greatly improved, the data processing capacity is greatly enhanced, a large amount of multi-dimensional data can be processed within 10s, and a usercan rapidly obtain electric energy meter detection information from intricate multi-latitude data information.

The embodiment of the invention discloses a wafer failure analysis method, which comprises the steps of determining a target test area in a cutting channel of a wafer, the wafer comprising a driving wafer layer and an array wafer layer which are stacked, wherein the array wafer layer comprises a stacking layer located on the driving wafer layer and a substrate located on the side, deviating from the driving wafer layer, of the stacking layer, and the target test area comprises a through contact penetrating through the array wafer layer and a test structure formed in the driving wafer layer andlocated below the through contact; performing protection processing on the surface of the through contact to obtain a wafer after protection processing; etching the substrate, located in the array wafer layer, in the wafer after the protection processing to obtain a wafer after the etching processing; and performing failure analysis on the wafer after the etching processing.

The invention belongs to the technical field of avionics system maintenance and guarantee. The invention discloses an avionics system fault analysis method based on a graph database And the method comprises the steps of utilizing an avionics system design document and fault case data; creating a graph database according to the modeling method; according to the method, modeling definition is performed on an architecture entity, a fault mode, a fault case and a relationship respectively, and setting related attribute information to store system design knowledge and fault data, so that a retrieval function for query, statistics and interpretation can be conveniently created by subsequent applications, and the method is applied to interactive query of graph data to assist fault maintenance guarantee work of an avionic system.

The invention provides a fault wave recording networking system. The fault wave recording networking system comprises an IDM fault wave recording device, a wave recording server and a dispatching automation system, wherein the IDM fault wave recording device comprises a data acquisition system and a local storage unit, the data acquisition system transmits acquired fault wave recording data to the local storage unit to be stored, when the local storage unit receives a dispatching request sent by the wave recording server, the local storage unit sends the stored fault wave recording data to the wave recording server, the wave recording server receives the fault wave recording data and conducts fault analysis on the fault wave recording data, and then the fault analysis report is sent to the dispatching automation system. It can be seen that according to the fault wave recording networking system, accessing of the IDM fault wave recording device is achieved, meanwhile, fault analysis is conducted on the fault wave recording data, and therefore the difficult problems in the prior art are solved.

The invention discloses a three-dimensional imaging method for realizing dendritic crystals in a lithium metal battery by using photoacoustic imaging. Sample preparation comprises: cutting out a portion having a flat cross section on a symmetric battery sample, wherein the side surface of the portion is a photoacoustic imaging observation surface; cutting off one corner of a cathode lithium sheetfor marking a relative position of the sample; placing the portion into a stainless steel button battery shell for electrochemical test, and performing charging test by using set current intensity; and after charging is completed, disassembling a button battery, and taking out the battery sample to complete the sample preparation. Image acquisition comprises: putting the sample on a sample platform, and fixing the sample; ensuring that the sample is located on a focal plane of laser by adjusting the height of the sample and observing the intensity of an ultrasonic signal; and performing two-dimensional scanning on the sample. The three-dimensional imaging method disclosed by the invention realizes three-dimensional imaging of the dendritic crystals in the lithium metal battery by using thephotoacoustic imaging, so that the method has an extremely large penetrating depth; metal features can also be directly observed even in a membrane; and the three-dimensional imaging method has the advantages of relatively low cost and easy operation.

The invention relates to an ultrahigh-frequency testing device for transponders that are two-dimensionally disposed behind and/or next to each other on or in an area of a joint support. Said testing device is used for checking ultrahigh-frequency functions and other transponder (2) data by means of at least one ultrahigh-frequency antenna element (3). Said antenna element (3) is located within a shielding housing (4) which acts in an isolating manner on ultrahigh-frequency waves and is provided with an opening (5) that faces a selected transponder (2) which is to be checked. Said opening (5) has an area that is adapted to the basal surface of the transponder (2).

The invention discloses a mechanical fault simulation analysis system and a mechanical fault simulation analysis method, which can simulate various different mechanical faults and remotely output fault results in real time through a network, can observe an experimental process outside a laboratory in real time, timely discover problems of each stage in the experimental process, and can also store experimental records at the same time. According to the invention, the software arranged on the server or the client is adopted to carry out frequency spectrum and time domain analysis on the fault signal, so that the whole process of mechanical fault simulation can be more intuitively and directly known, that is, fault simulation and fault analysis are realized, and the system is a set of relatively perfect analysis system.