30results about How to "Improve failure analysis efficiency" patented technology

The invention discloses a fault diagnosis method and fault diagnosis equipment. The method comprises the following steps of: acquiring network data; acquiring the network element data of network element equipment according to a pre-stored case script program when the network data determines that the network element equipment has a fault; and determining fault information according to the network element data and the pre-stored case script program. In an embodiment of the invention, a key performance indicator (KPI) intelligent diagnosis tool determines the fault information according to the pre-stored case script program and the network element data acquired from the network element equipment, can realize the real-time monitoring of the KPI of a radio access network (RAN) system, and can improve the efficiency of the equipment fault analysis of the RAN system.

The invention discloses a data analysis method and apparatus of urban rail signal equipment. The method includes: receiving a to-be-inquired system identifier and a fault keyword corresponding to the system identifier input by a user; obtaining log data of all the urban rail signal equipment in the system in a preset period according to the system identifier; matching the data format of each piece of log data with the data format of a data format dynamic database, and determining the data types of the log data; selecting a network protocol corresponding to the data type according to each data type, and sending the log data of the data type to an analysis module of a simulation MSS server; and analyzing all the log data by the analysis module, and screening fault information corresponding to the fault keyword from the analyzed log data for display. According to the method, the search of problems is facilitated, the fault analysis efficiency is improved, and the cost is reduced.

The embodiment of the invention discloses a power grid image recognition system based on a neural network. The system comprises a data set generation module for artificial neural network training, anartificial neural network training module, an artificial neural network reasoning prediction module and a man-machine interaction module, the data set generation module for artificial neural network training preprocesses example image data used for training an artificial neural network and creates an image data set. The artificial neural network training module takes an image data set as input; outputting an artificial neural network classifier; the artificial neural network reasoning prediction module takes an original data image as an input; and the artificial neural network classifier carries out batch automatic reasoning prediction on the category represented by each image, a category identifier corresponding to each image is output, a to-be-analyzed original data image is input intothe human-computer interaction interface, and a power grid fault is processed according to an analysis output result. The method solves the problems that an existing power system is low in fault analysis efficiency and long in processing period.

The invention discloses a refrigerator fault detection method and device, a storage medium, a control panel and a refrigerator. The detection method comprises the following steps that operation powerof the refrigerator is recorded in real time in the operation process of the refrigerator; when the refrigerator breaks down, a fault signal is obtained, and the fault type of the refrigerator is recognized according to the fault signal; according to the recognized fault type, corresponding shutdown duration is obtained, and the refrigerator is controlled to stop operating for the shutdown duration; and when a checking instruction of a user is received, an operation power curve of the refrigerator is obtained, and the fault type of the refrigerator is determined according to the operation power curve. According to the fault detection method, the fault type of the refrigerator can be accurately detected and recorded, the fault analysis efficiency is improved, and the working efficiency of maintenance personnel is further improved.

The invention discloses a photon radiation microscope sample holder, which comprises a substrate, metal electrodes, and bonding wires, wherein the substrate is provided with a sample bearing area forbearing a sample; the sample bearing area penetrates through the substrate along the vertical direction; a bearing plate made of a light-transmitting material is arranged in the sample bearing area; the metal electrode is arranged in the substrate and penetrates through the substrate in the vertical direction; and the bonding wire is used for electrically connecting the pricking area of the to-be-tested sample with the metal electrode. According to the invention, the original front / back detection type EMMI / OBIRCH application analysis equipment has the capability of carrying out analysis and application from two sides. The defect position can be more conveniently, quickly and accurately positioned.

The invention discloses a power distribution communication network fault analysis method, system and device and a storage medium. The fault analysis method comprises the following steps: acquiring alarm information of power distribution communication network equipment; determining fault identification information of the power distribution communication network equipment according to the alarm information; combining the alarm information meeting the preset condition, wherein the alarm information meeting the preset condition comprises alarm information with correlation; and determining a faultreason and fault positioning according to the combined alarm information and fault identification information. According to the technical scheme, the method can be applied to power distribution communication networks with different network structures or communication modes; the expandability of fault management of the power distribution communication network is improved; the equipment fault reasons and accuracy and timeliness of positioning analysis are further improved, massive redundant alarm information in the system is reduced, workload of management personnel is reduced, fault analysis efficiency is improved, service abnormity processing capability of the power distribution communication network is improved, and construction of the power distribution communication network is facilitated.

The embodiment of the invention provides a display method and device for monitoring information. The monitoring information is used for analyzing a fault occurring in the production process. The method comprises the steps that first input on a first page of a first display region by a user is received, wherein the first page is used for displaying operating conditions of at least one sub-process relevant to the fault in the production process; an object selected on the first page through the first input is determined; the prestored monitoring information corresponding to the object is acquired, wherein the monitoring information is used for instructing the operating conditions of the object in the production process; and the monitoring information is displayed to the user in a second display region. Obviously, by determining the selected object input by the user on the page relevant to the fault, the monitoring information relevant to the object is displayed to the user, the user doesnot need to check a large quantity of pages according to his / her own experience to acquire such information, therefore, fault analysis time can be saved, and fault analysis efficiency is improved.

The invention discloses a restoration method, device and apparatus for write-in operation process of storage equipment. The restoration method comprises the steps that in response to an instruction ofwriting data into a plurality of specified target pages, adding counting marks to each target page, writing data into the target pages, and sequentially increasing the numerical values of the counting marks according to the sequence of the written data of the target pages corresponding to the counting marks; in response to a data reading instruction, arranging the target pages corresponding to the counting marks according to an ascending sequence of the counting marks; and sequentially reading the data corresponding to each arranged target page and finding out abnormal data and the position of the abnormal data. According to the invention, the fault analysis difficulty is reduced, and the fault analysis efficiency is improved.

The invention discloses a fault analysis method and device, computing equipment and a computer storage medium. The fault analysis method comprises the steps of obtaining fault information of an information system; processing the fault information by using a word frequency dictionary and an N-Gram algorithm to obtain a fault feature word set; based on the fault feature words in the fault feature word set, establishing a fuzzy fault Petri network model of an information system operation process containing the fault feature words; and performing fault analysis processing on the information systemby using the fuzzy fault Petri network model to obtain a fault analysis result. Based on the scheme, feature words are extracted from fault information, the extracted feature words are used for faultanalysis, the fault analysis efficiency is improved, the manual screening time of information system faults is greatly shortened, the established fuzzy fault Petri network model is used for fault analysis, and the effectiveness and accuracy of fault recognition are improved. In addition, fault redundancy alarm is reduced, and the fault recognition rate is increased.

The invention provides a sample preparation method and sample preparation equipment for chip failure analysis. The method comprises the following steps of: removing the back surface of a chip to be processed until a processed chip exposing the back surface of a bare chip in the chip to be processed and the cross section of a chip lead is obtained, and fixing the front surface of the processed chip on a fixing plate; and electrically connecting the cross section of the chip lead with the analysis circuit board through the target wire by adopting a preset wire welding machine based on the configured wire welding debugging parameters. According to the method, the defect that failure analysis of multi-welding-spot power-up cannot be carried out on the failure chip in the prior art is overcome, and meanwhile, the failure analysis efficiency is improved.

The invention provides a vehicle data processing method and device, an electronic device, a computer readable storage medium and a vehicle, and relates to the technical field of automobiles. The vehicle data processing method comprises the steps of determining to-be-uploaded vehicle data conforming to a vehicle bus protocol, extracting specified data content corresponding to the data type from thevehicle data according to the data type of the vehicle data, and packaging and generating a data packet according to the specified data content and an internet communication protocol, and sending thedata packet to a server. According to the invention, the vehicle data can be transmitted to the server without barriers and accurately.

The invention discloses a terminal, a log control method thereof and a computer readable storage medium. A system starting log is generated in the system starting process of the terminal; after a permanent memory of the terminal is started, the system starting log is written into the permanent memory; and when a system starting log calling instruction is received, the system starting log stored inthe permanent memory is called according to the system starting log calling instruction. Namely, the log control method provided by the invention can generate the system starting log in real time inthe starting process of the terminal system, and can store the system starting log in the permanent memory of the terminal. The invention further discloses a terminal and a computer readable storage medium. Compared with the mode that codes operated in the system starting process can only be exported from a serial port through hardware wiring for analysis at present, the invention is more convenient and faster, and the efficiency is higher, and the improvement of the fault analysis efficiency and the problem positioning accuracy is facilitated.

The invention provides a test method on failure analysis of a storage cell, which comprises the steps of defining an internal storage region, in which the number and the position of internal storage cells correspond to storage cells on a chip; pressurizing the storage cells in the adjustable value range and measuring the storage cells to obtain threshold voltages of the storage cells, storing step value information related to the threshold voltage into an internal storage position which corresponds to the internal storage region until threshold voltages of all storage cells can be tested; reading out the step value information related to the threshold voltages in the internal storage region to generate a data file; and analyzing the data file to obtain information of the threshold voltages corresponding to the storage cell position, and calculating the information of threshold voltage distribution of a whole storage chip at the same time. The method can be used for accurately positioning the failure point of the threshold voltage, so as to improve the test efficiency.

The invention discloses an algebraic persistence fault analysis method and device for a block cipher, and the method comprises the steps: carrying out the fault injection of the block cipher, and obtaining a target cipher with a fault; inputting a random plaintext into the target password to obtain a fault ciphertext; obtaining a fault value by using the fault ciphertext, constructing an encryption algebraic equation of a reciprocal r round for each fault ciphertext according to the fault value, and adding a corresponding key constraint algebraic equation for the encryption algebraic equation; and solving the encryption algebraic equation to obtain an encryption master key. According to the method, persistent fault analysis and algebraic analysis are combined, the advantages of the persistent fault analysis and algebraic analysis are exerted, and the number of fault ciphertexts needed for key recovery is reduced to the maximum extent.

The invention discloses a fault detection method and device for an unmanned aerial vehicle. The method comprises the following steps of judging whether the flight mode of the unmanned aerial vehicle is a fixed-height mode or not, if the judgment result indicates to be yes and the numerical value of the GPS height lower than the first target height is greater than a first threshold value, determining the cause of the fault of the unmanned aerial vehicle based on the GPS vertical speed, and if the judgment result indicates to be no, determining change information of the simulated terrain height in a first preset time period, and determining the cause of the fault of the unmanned aerial vehicle based on the change information. The technical problems of long time consumption and low efficiency caused by manually analyzing the fault cause of the unmanned aerial vehicle according to the flight log in the prior art are solved.

The invention relates to an HBase fault prediction method, system and device based on a decision function model and a medium, and belongs to the technical field of distributed storage, and the method comprises the steps: collecting monitoring item data of HBase in various fault scenes, classifying the monitoring item data according to each fault scene, and determining a plurality of monitoring items corresponding to each fault scene; based on the plurality of monitoring items corresponding to each fault scene, a decision function model corresponding to each fault scene is established, and a prediction conclusion of each decision function model is associated with a threshold range of the plurality of monitoring items corresponding to each fault scene; and obtaining the value of each monitoring item in the HBase environment, correspondingly inputting the values of the plurality of monitoring items corresponding to each fault scene into the decision function model corresponding to each fault scene, and obtaining a prediction conclusion corresponding to each fault scene. According to the method, automatic analysis of fault conclusions is realized, fault analysis efficiency is improved, faults can be classified and processed, and accuracy of prediction results is improved at the same time.

The invention discloses a motor state acquisition device, and the device comprises a probe and a controller; the probe is arranged corresponding to a gear of a motor; the probe is connected with the controller, and the controller is used for determining position change parameters of an identification part of the gear according to at least two detection parameters and determining running state information of the motor according to the position change parameters; at least two detection parameters are obtained by detecting the state of the gear at different moments by the probe. The invention also discloses a motor state acquisition method, projection equipment and a computer readable storage medium. According to the invention, the operation state of the packaging motor is effectively obtained, and the fault analysis efficiency of equipment is improved.

The invention relates to a portable telemetry data monitoring platform and a monitoring method. The monitoring platform includes two parts: a sending end and a ground receiving end. The sending end includes sensors, converters, encoders, transmitters and other equipment to complete data collection, encoding and transmission; The receiving end includes a receiver, a data processing module, a recording module and a display module, and completes the receiving, recording, parsing, smoothing processing and interface display of telemetry data. The monitoring method of the present invention is implemented by the software of the data monitoring platform, which simplifies the hardware structure and improves the portability and flexibility of the system; the improved Garrote threshold wavelet method is used for data smoothing, which greatly reduces the impact of errors and makes The data measurement value is closer to the real value, and is displayed through a combination of text interface and curve interface, so that ground monitoring personnel can grasp the operating status of the aircraft more intuitively and accurately, and improve the efficiency of system maintenance and failure analysis.

The invention discloses a fault judgment system with an auxiliary analysis function, and the system comprises: a collection subsystem which collects the operation data of equipment; a fault diagnosis subsystem which is used for judging whether the equipment has a fault or not based on the operation data acquired by the acquisition subsystem, and generating a corresponding fault name based on a generated fault type; and a fault analysis subsystem which outputs a fault maintenance scheme corresponding to the fault name based on the fault name generated by the fault diagnosis subsystem. The fault judgment system provided by the invention not only can diagnose the fault reason of the equipment on line, but also can provide a corresponding maintenance processing scheme and related data according to the fault reason, so that the fault analysis efficiency of equipment operation and maintenance personnel is effectively improved.

The present invention discloses a bearing installation monitoring system for a pump valve. The system comprises an adjusting base, a sleeve base and clamping bases, the sleeve base is arranged on oneside of the adjusting base, a first sleeve groove is formed in the inner side of the adjusting base and the inner side of the sleeve base, and the two clamping bases are arranged in one end of the first sleeve groove in a sleeved mode; according to the invention, the positions of the pump valve bearings in three directions are sensed by the phase sensors which are arranged at an angle of 120 degrees, when measurement data is the same or is within an allowable error range, the installation positions of the pump valve bearings are accurate, when the measurement data exceeds the allowable error range, the pump valve bearings are required to be reinstalled to rapidly and conveniently monitor the installation positions of the pump valve bearings, timely obtain monitoring information and avoid the problems occurring in the installation of the pump valve bearings, the bearing installation monitoring device can monitor installation, temperature and vibration of the pump valve bearings, guarantees mutual noninterference through the structural design of the device when monitoring the installation, temperature and vibration of the pump valve bearings, and can quickly, normally and conveniently complete monitoring of the pump valve bearing.

The invention relates to a message middleware fault positioning method, device and equipment and a computer medium, and the method comprises the steps: creating a detector packaging class according to a preset detection method of each node in an asynchronous link; analyzing the preset configuration file to obtain a path of a physical configuration file of the message producer; according to the path of the physical configuration file, the physical configuration file is read, the physical configuration file is analyzed to obtain the service name of a message producer and the IP information of the message production equipment, and the message producer is deployed in the message production equipment; obtaining a log and a message file of the message producer according to the service name of the message producer and the IP information of the message production equipment, and instantiating a detector packaging class according to the log and the message file of the message producer; and executing the instantiation object of the detector packaging class, detecting each node in the asynchronous link in sequence according to the preset detection method, and determining a fault node and a fault reason corresponding to the fault node. The fault positioning efficiency of the message-oriented middleware is improved.

The invention discloses a fault attribution system and method based on knowledge reasoning. The system comprises a semantic extraction module, a map matching module, a knowledge reasoning module and a root cause positioning module which are connected in sequence. The semantic extraction module obtains key information under an entity type or a relation type defined in a knowledge graph mode in the fault phenomenon description text through a semantic extraction model trained in advance; the graph matching module is used for matching the extracted entities and the relationships among the entities with the corresponding entities and relationships in the knowledge graph; the knowledge reasoning module obtains more fault attribution information through graph exploration and extension; and the root cause positioning module supplements information to circularly position the causal relationship chain layer by layer until a root cause and a fault position are positioned. According to the invention, the accuracy of fault reason analysis can be improved, and the fault analysis efficiency is greatly improved.

The invention belongs to the technical field of electric actuator torque testing, and discloses an electric actuator torque testing system which comprises a workbench, a fixing device is arranged on the workbench, an electric actuator is fixed to the fixing device, and an output shaft of the electric actuator is connected with one end of a dynamic torque sensor. One end of the dynamic torque sensor is connected with the fixing device, the other end of the dynamic torque sensor is connected with a load loader for providing a torque load, the dynamic torque sensor is connected with a control center of a test system, and the fixing device is characterized in that the fixing device is also provided with a plurality of piezoelectric surface acoustic wave sensors wirelessly connected with the control center; and the piezoelectric surface acoustic wave sensor is fixed on a transmission part in the electric actuator. The method has the advantages that the torque value of the installed transmission part is measured through the piezoelectric surface acoustic wave sensor, the reason for insufficient output torque of the electric actuator is analyzed and judged, the fault point is found, and guarantee is provided for stable work of the electric actuator.

The invention provides a chip failure analysis method and device, electronic equipment and a medium. The method comprises the steps that after hot melt wax in a first state is obtained, the first state is a softened state, a sample to be ground is embedded into one side of the hot melt wax in the first state in a preset embedding mode, the other side of the hot melt wax in the first state is molded, and a grinding body in the first state is obtained; the to-be-ground sample in the grinding body is kept horizontal; based on the grinding body in the first state, a grinding body in a second state is obtained, and the second state is a solidification state; after the hot melt wax molded on the grinding body in the second state is fixed, grinding the to-be-ground sample in the grinding body to obtain a to-be-analyzed chip; and performing failure analysis on the to-be-analyzed chip to obtain an analysis result. According to the method, the grinding stability and safety are improved, and the failure analysis efficiency is also improved.