20 results about "Fault list" patented technology

The invention provides a test vector construction method, which is used for constructing a test vector set required by a to-be-tested digital circuit, and comprises the following steps: S1, obtaining the to-be-tested digital circuit and a to-be-tested fault list corresponding to the to-be-tested digital circuit, the to-be-tested fault list comprising a plurality of circuit faults; s2, multiple rounds of simplification operation are executed until the number of circuit faults which can be detected by all the obtained test vectors is larger than or equal to a preset threshold value, all the test vectors obtained by each round of simplification operation are stored in a variable-capacity vector pool, the capacity of the vector pool corresponding to each round is a preset multiple of the capacity of the vector pool corresponding to the previous round, and the test vectors are stored in the variable-capacity vector pool; wherein each round of simplification operation comprises a static simplification stage and a dynamic simplification stage, the static simplification stage repeatedly fills a vector pool and reduces the number of test vectors in the vector pool, and the dynamic simplification stage fills a part of the uncertain items in the test vectors with the uncertain items obtained in the static simplification stage as 0 or 1.

A test pattern generation method includes: obtaining design data about a circuit under test (CUT); generating, based on the design data, a first test pattern for detecting transition delay (TD) faults and a pre-detection fault list (PDFL) including fixed type (SA) faults respectively corresponding to detectable TD faults included in the detectable TD fault list and detectable by simulation; and generating a second test pattern for detecting the SA fault based on the design data and the PDFL.

The application provides a fault processing method and device, relates to the technical field of communication, and can guarantee the continuity of user service. The method comprises the following steps: after receiving an internet protocol multimedia subsystem (IMS) registration request sent by a user equipment, determining a target user plane function (UPF), acquiring a fault P-CSCF identifier corresponding to the target UPF in a P-CSCF fault list, then determining a normal P-CSCF identifier from the P-CSCF list according to the fault P-CSCF identifier, and finally sending the normal P-CSCF identifier to the user equipment, so that the user equipment determines a target P-CSCF identifier from the normal P-CSCF identifier and completes the IMS registration by using the target P-CSCF identifier. The embodiment of the application is used in the IMS registration request process.

1. The name of the design product: graphical user interface of intelligent purification system control software for electronic equipment. 2. The use of the design product: for an electronic device. 3. The design points of the design product: in the graphical user interface. 4. The picture or photo that best indicates the design points: front view. 5. The use of the graphical user interface: for managing and displaying purification system parameter control. 6. The human-computer interaction mode of the graphical user interface: the front view is the main interface for the user to enter the system, and the user can view the equipment running state, filter core life condition, etc.; when a fault occurs, the main interface will pop up a fault prompt, and the interface is interface change state diagram 1; clicking "view all" in the fault prompt pop-up window of interface change state diagram 1 enters the fault list interface, and the user can view the type, time and information content of the fault, and the interface is interface change state diagram 2.

The invention discloses a nuclear power plant inspection method and system. The method comprises the following steps: S1, based on the security level of an item to be inspected, generating a structured inspection plan according to an inspection program file, and setting inspection personnel; s2, pushing the inspection plan to inspection personnel according to preset time; s3, collecting and uploading state data of the to-be-inspected object item by an inspector according to the inspection plan; verifying the state data of the to-be-inspected item in real time according to a preset verification rule and prompting; s4, analyzing the state data of the to-be-inspected item, and generating an inspection report; and S5, if the state data of the to-be-inspected item is abnormal, generating a fault list and performing progress tracking management. By implementing the technical scheme of the invention, the accuracy of the inspection plan and the timeliness of pushing can be improved, the accuracy of the collected data is ensured, the data analysis efficiency is improved, the fault management is perfected, the closed-loop management of the whole inspection process is realized, and the inspection efficiency is improved.

The application discloses a TFDS-based freight car fault identification method and device, equipment and a storage medium, and belongs to the technical field of railway freight car fault detection. The method comprises the following steps: acquiring component identification results of a freight car output by TFDS intelligent identification, and storing the component identification results in a database and a cache respectively; performing fault matching on the component identification results based on a preset accident car fault list to obtain target fault information; calculating a fault weight score of the freight car based on the target fault information through fault weight accumulation, and when the fault weight score reaches a preset weight threshold and there is no accident car identifier corresponding to the freight car in the cache, marking the freight car as an accident car and adding the accident car identifier to the cache; and pushing the accident car identifier of the freight car to a maintenance platform to generate a maintenance work order. The fault weight score can be calculated based on fault list matching and fault weight weighting to accurately identify the accident car, mark the accident car identifier, and improve the identification accuracy and efficiency.

A test pattern generating method includes obtaining design data with respect to a circuit under test (CUT); generating, based on the design data, a first test pattern for detecting a transition delay (TD) fault and a pre-detected fault list (PDFL), wherein the PDFL comprises stuck-at (SA) faults, which respectively correspond to detectable TD faults that are included in a detectable TD fault list and are detectable through a simulation; and generating a second test pattern for detecting SA faults based on the design data and the PDFL.

The application discloses a vehicle fault information processing method, device and equipment and a storage medium, the method obtains whole vehicle information and ECU characteristic data of an electronic control unit (ECU) of a current vehicle, generates a characteristic list according to the whole vehicle information and the ECU characteristic data, generates a structure of the current vehicle according to the characteristic list, generates a fault list according to the structure, processes faults of the current vehicle according to the fault list, can more intuitively reflect a fault state of a current product, reduces processing difficulty of the vehicle fault information processing method, can better process fault information according to a design object, solves the problems of poor software reusability and expandability, the method code is relatively simple to maintain, and the speed and efficiency of the vehicle fault information processing are improved.

The application discloses a kind of fault online diagnosis method and device, wherein the method includes: obtaining the fault state data of multiple faults defined to vehicle parts;Fault state data characterizes whether the corresponding fault occurs currently;Mapping is carried out based on multiple fault state data, and obtain fault list signal;Fault list signal includes multiple data segments, and a data segment at least corresponds to the fault state of a fault, and fault state indicates whether the corresponding fault occurs;Based on fault list signal, output target fault list signal in multiple fault list signals.The application can completely show any defined fault of vehicle parts currently occurred through fault list signal, and finally output according to needs, so as to provide on-site engineer real-time positioning fault, with good timeliness, improve fault troubleshooting efficiency.

Techniques are disclosed for eliminating redundancy in fault simulations to improve efficiency and to reduce the time and computing power required to generate a robust fault list, which results in adequate diagnostic coverage of a particular post-silicon electronic device for functional safety applications. The techniques described herein implement an automated methodology to identify identical sub-circuits in a design after the design is synthesized to gates, and utilize isomorphism to define a manner in which identical blocks may be reliably identified to ensure adequate coverage and accurate, consistent fault injection results. The netlist may advantageously implement a “flat” as opposed to a hierarchal design. Moreover, multiple levels of granularity may be identified for the various sub-circuits associated with the reference graphs used to identify isomorphic sub-graphs.

1. Name of the product in this design: Graphical User Interface for Fault Order Management of Electronic Equipment. 2. Intended use of this design: for use in an electronic device. 3. The key design features of this product are its graphical user interface. 4. The image or photograph that best illustrates the design's key features: the front view. 5. Purpose of the graphical user interface: for fault work order management in power distribution systems. 6. Description of the changing states of the graphical user interface: Click "Work Order Details" on the right side of the fault list in the main view to switch to the changing state diagram 1; click "Processing Flow" on the right side of the interface in the changing state diagram 1 to switch to the changing state diagram 2. 7. Other situations requiring explanation: X indicates replaceable text content; the shading area is the content screen area.

The invention discloses a train fault diagnosis method, system and device, and relates to the technical field of rail transit, and the method comprises the steps: obtaining first fault data according to a fault list; acquiring first data through preset train network transmission; searching the same byte value in the first data according to the first fault data to obtain a first fault byte value; calculating and judging the first fault byte value and the first fault data through the mask value to obtain first fault information; and storing and displaying the fault information, and circularly executing the steps. By adopting a mask calculation mode, the method can adapt to different fault protocol systems and meet fault transmission diagnosis of different systems of networks, thereby being compatible with fault diagnosis and display of different network-mounted vehicle equipment, and achieving the beneficial effects of wide application range, rapid and accurate diagnosis mode and high benefit.

The application relates to a fault processing method and device, computer equipment, a readable storage medium and a program product, and belongs to the field of information technology. The method is applied to an access layer of a distributed storage system; the method comprises the following steps: acquiring error information, and determining an error type and an error source of the error information; determining a fault level of the error information according to the error type; determining a fault object related to the error information according to the fault level and the error source; the fault object comprises at least one of a fault disk and a fault data set, and the fault data set is a data set related to the error information in a cache of a proxy service, and the proxy service is used for completing the functions of the access layer; the fault object is added into a fault list, and a survival time length of the fault object in the fault list is determined, so that the proxy service performs fault shielding on the fault object when performing data processing within the survival time length. The method can improve the availability of the distributed storage system.

The embodiment of the application discloses a kind of development method and system of aircraft fault isolation strategy, method includes: by the processing of failure mode and effect analysis data, the associated relationship of each fault reason is formed with fault phenomenon, troubleshooting scheme and test scheme;According to fault phenomenon, merge failure mode;According to maintenance level, merge troubleshooting scheme;For each failure mode group, determine the troubleshooting step group corresponding to each fault reason in it, and each troubleshooting step group is described to form troubleshooting step group file;In each failure mode group, according to fault code and maintenance level, each troubleshooting step group corresponding to each fault reason is merged;Each troubleshooting step group file is sorted, and fault isolation program file is generated;According to failure mode group, generate fault information list;According to maintenance level and user demand, select the data module of required fault list and fault isolation program, to generate fault isolation strategy.

The invention relates to the technical field of electric power system automation and artificial intelligence crossing, and particularly discloses an AI-based electric power fault diagnosis and processing method and system. The system comprises a local rapid diagnosis module which is used for matching real-time fault features with a historical case library and realizing second-level response of common faults; the deep analysis and diagnosis module is used for carrying out deep reasoning by fusing physical characteristics obtained by power grid load flow calculation with an AI model when rapid matching fails, and generating a candidate fault list; the simulation verification and decision module is used for sequentially verifying the candidate list through digital twin simulation, determining final diagnosis and generating a personalized treatment scheme; and the closed-loop optimization module is used for synchronous updating and self-learning according to the field treatment feedback. According to the method, a whole-process closed loop from fault perception, intelligent analysis, physical verification, decision generation to knowledge evolution is realized, the accuracy of power fault diagnosis and the safety and efficiency of disposal are improved, and the method has a continuous self-optimization capability.

The invention provides a simulation method and device for spaceflight measurement and control faults. The method comprises the steps that a fault loading command is received; according to a fault mode number in the fault loading command, obtaining a fault association relationship of the spaceflight measurement and control fault from a fault mode database, and determining whether the spaceflight measurement and control fault is about to occur, a fault mode number of an associated fault, whether the associated fault is about to occur and fault loading time according to the fault association relationship; if the associated fault is about to occur, adding a fault mode number and fault loading time of the associated fault to a preset to-be-loaded fault list; if the spaceflight measurement and control fault is about to occur, adding a fault mode number and fault loading time in the fault loading command to a to-be-loaded fault list; and completing fault simulation based on the to-be-loaded fault list. According to the invention, composite fault and multi-point fault simulation of spaceflight measurement and control can be realized, and the reliability of spaceflight measurement and control fault simulation is improved.

This application provides a method, apparatus, and equipment for reproducing faults in construction machinery. This application relates to the field of construction machinery fault reproduction. The method includes: responding to a fault reproduction request from a user terminal; obtaining a fault list of the construction machinery based on the fault reproduction request; obtaining a reproduction plan for a target fault based on the fault list of the construction machinery; and reproducing the target fault according to the reproduction plan until the target fault is successfully reproduced. This method aims to improve the technical effect of reproducing faults in construction machinery.

The application discloses a kind of power grid operation situation analysis system combined with knowledge graph, it is related to intelligent power grid technical field, including power grid data acquisition module, power grid feature extraction module, monitoring information event analysis module, power grid graph construction module and power grid event intelligent research module;Power grid data acquisition module acquires power grid data, and power grid feature extraction module extracts its feature, and monitoring information event analysis module outputs maintenance label, fault label, associated equipment list and fault list, and power grid graph construction module generates power grid knowledge graph, outputs fault propagation path and threshold value, and power grid event intelligent research module pushes abnormal data and fault information.The application realizes mass monitoring signal automation cleaning, fault intelligent research and cross-station propagation path analysis by natural language processing and machine learning technology, reduces manual intervention, improves fault identification accuracy, and pushes real-time hierarchical alarm, significantly improves power grid situation awareness and emergency disposal efficiency.

The invention discloses a photovoltaic power station digital intelligent IV diagnosis method and system, and relates to the technical field of intelligent diagnosis. The method comprises the following steps of collecting IV curve, voltage, current, environment temperature and illumination data, adopting a wavelet denoising algorithm for preprocessing, extracting key features and inflection point data, calculating Euclidean distance and radial distance set threshold values, identifying abnormal group strings and detecting environment deviation, determining fault group strings and calculating curve matching degree division grades, and generating a fault list. And outputting diagnosis results according to the fault grade sequence. According to the method, the operation data of the photovoltaic module is deeply analyzed by constructing the multi-dimensional feature data set, denoising and inflection point extraction are carried out, abnormal group strings are discriminated by dynamic thresholds, fault levels are subdivided by curve matching analysis, the diagnosis precision and automation are improved, the manual dependence is reduced, the complex environment is matched, the early recognition and operation and maintenance efficiency is enhanced, and continuous and accurate monitoring is ensured; and scientific maintenance decision making and risk early warning are facilitated.

A test pattern generating method includes obtaining design data with respect to a circuit under test (CUT); generating, based on the design data, a first test pattern for detecting a transition delay (TD) fault and a pre-detected fault list (PDFL), wherein the PDFL comprises stuck-at (SA) faults, which respectively correspond to detectable TD faults that are included in a detectable TD fault list and are detectable through a simulation; and generating a second test pattern for detecting SA faults based on the design data and the PDFL.