88 results about "Fault list" patented technology

An HVAC system includes a central controller which communicates with a multiple of HVAC components over a digital communication bus. The central controller maintains an ordered fault list that includes the source of a fault, a description of the fault, the last occurrence of the fault, and the number of sequential occurrences, or repetitions across the entire HVAC system.

An HVAC system includes a central controller which communicates with a multiple of HVAC components over a digital communication bus. The central controller maintains an ordered fault list that includes the source of a fault, a description of the fault, the last occurrence of the fault, and the number of sequential occurrences, or repetitions across the entire HVAC system.

A calculation system of fault coverage includes a data acquiring module acquiring layout information and gate net data, a layout analysis and fault link module extracting a layout element information and generating a undetected fault list, a fault detecting module generating a detected and undetected fault list, and a weight calculating module adding layout element information as weight, based on a link file between faults and layout element information to be generated based on the layout information, the gate net data, and the detected and undetected fault list.

The invention relates to a universal routing method and a universal routing system for a data center network. The method comprises the following steps of performing link and neighbor detection, namely detecting a connected link and a neighbor router adjacent to a router and storing detection results into an adjacent equipment list; performing equipment training, namely broadcasting the router per se, learning other routers in the network and storing results into a full-network equipment list; performing link failure deduction, namely deducing the neighbor router and associated link failure according to the learnt routers and storing results into the adjacent equipment list and a full-network link fault list; performing link failure training, broadcasting the link failure of the router per se, learning other link failures in the network and storing results into the full-network link fault list; constructing a base routing list and an elusion routing list; and inquiring the routing lists. Compared with the prior art, the universal routing method and the universal routing system provided by the invention are simpler and more efficient and have better fault handling capability.

A system and associated method for automatically correcting an application based on runtime behavior of the application. An incident indicates a performance of the application in which a problem object produces an outcome that had not been expected by a user or by a ticketing tool. An incident flow for the problem object is automatically analyzed. Actual run of the application renders a forward data flow and at least one backward data flow is simulated from an expected outcome of the problem object. The forward data flow and the backward data flow(s) are compared to create a candidate fault list for the problem object. A technical specification to correct the candidate fault list and a solution to replace the application are subsequently devised.

A method is defined which reduces the number of applied test patterns while maintaining identical fault coverage for a given set of weighted random patterns. Reduction is accomplished by simulating the weight sets in reverse order against a full (untested) fault list but allowing fault mark-off for initially effective patterns only (patterns which detected faults). This results in some patterns which initially detected only a few faults (due to their exposure to a small untested fault list) to detect a greater number of faults (due to their exposure to a full fault list), while other patterns which were initially effective become ineffective (detected no faults). Since the same faults are still detected there is no loss of coverage. Only those patterns which remain effective after exercising the reverse simulation are ultimately applied on the tester.

The invention discloses an automobile fault diagnosis method. The method comprises the following steps of acquiring a first fault code generated by an automobile fault diagnosis apparatus, and according to the first fault code, generating a fault list which can be selected by a user, wherein the fault list includes a plurality of reference fault identifications related to the first fault code; detecting a trigger operation of a user in the fault list, acquiring a second fault code corresponding to the reference fault identification triggered by the user in the fault list and determining whether the second fault code matches with the first fault code; and if the second fault code matches with the first fault code, determining a reference fault corresponding to the reference fault identification to be a fault generated by an automobile which is diagnosed currently. The invention also discloses an automobile fault diagnosis apparatus. In the prior art, the user can not rapidly find an automobile fault generation reason according to the fault code generated by the automobile fault diagnosis apparatus. By using the method and the apparatus of the invention, the above technical problem is solved and work efficiency for the user to repair the automobile is increased.

The invention provides a service aid for an SCR (Selective Catalytic Reduction) post-processing system. The service aid comprises a DCU (Dosing Control Unit) linking module, a data monitoring module, a fault code information module, a diagnosis testing module, a characteristic parameter setting module and a calibration module, wherein the DCU linking module is used for linking the service aid and a DCU of the SCR post-processing system; the data monitoring module is used for reading and monitoring operating data of an engine and operating data of the SCR post-processing system and playing a role in troubleshooting fundamental faults through monitoring feedback of the operating data of the engine and the operating data of the SCR post-processing system; a fault list is created in the fault code information module and contains various codes and corresponding fault meanings; the fault code information module is used for reading fault codes from the DCU of the SCR post-processing system and finding out fault meanings corresponding to the fault codes from the fault list according to the fault codes and the fault list; the diagnosis testing module is used for carrying out engine stall diagnosis testing and engine starting diagnosis testing. The service aid can be used for solving most of post-processing system faults on the market.

The present invention provides a fault detecting method and a layout method for a semiconductor integrated circuit. The fault detecting method performs detection for faults in a semiconductor integrated circuit using a fault list corresponding to information on sites in the semiconductor integrated circuit where a fault is likely to occur or information required to reduce such faults. In addition, the fault detecting method and the layout method perform ordering of faults with their likelihood and weighting of the faults, taking into consideration physical information on a mask pattern within a chip or records of actual use of cells or functional blocks.

A method and associated system for automatically correcting an application based on runtime behavior of the application. An incident indicates a performance of the application in which a problem object produces an outcome that had not been expected by a user or by a ticketing tool. An incident flow for the problem object is automatically analyzed. Actual run of the application renders a forward data flow and at least one backward data flow is simulated from an expected outcome of the problem object. The forward data flow and the backward data flow(s) are compared to create a candidate fault list for the problem object. A technical specification to correct the candidate fault list and a solution to replace the application are subsequently devised.

The invention relates to a metering device fault diagnosis method based on RF-GBDT. The specific method comprises the following steps: based on related data such as metering device attribute data, historical electric quantity data, meteorological data, metering abnormality record data and the like, extracting related indexes such as electric quantity characteristics, weather characteristics and the like from data 15 days before abnormality discovery time, constructing an RF-GBDT model, and identifying and diagnosing whether the metering device has a fault or not. The RF-GBDT model can be applied to fault diagnosis of the metering device. According to the method, the suspected fault list of the metering device is output, fault feature analysis of the metering device is carried out accordingto the suspected list, the feature rule of the suspected fault metering device is comprehensively understood, accurate first-aid repair service of the metering device is implemented in a targeted mode, the fault management level of the metering device is improved, and the user service satisfaction is improved.

The invention relates to a high-speed train fault handling method. The method comprises the steps of 1) querying faults and fault codes in a fault list, which occur during a user set time, to compose a fault set; 2) scanning the fault set to obtain a frequent item set meeting the minimum support level and then obtain a legal fault association rule set; 3) expresses the legal fault association rule set in a rule diagram, and matching the faults in the fault list in the step 1) with the nodes of the rule diagram; 4) traversing the routes to be matched of all the nodes in the matched rule diagram, computing the importance of the faults represented by the nodes on the routes to be matched and performing sequence sorting; 2) according to the importance sequence of the faults to perform treatment. The high-speed train fault handling method can support fault reason analysis under the condition of lack of expert knowledge and meanwhile find out cause and effect in massive faults through rule matching, so that maintenance can be performed preferentially on high-importance source faults, and further the fault maintaining cost of high-speed trains can be greatly reduced.

A test pattern sequence which is used to test a delay fault or an open fault which accompanies a delay occurring in an IC is easily and rapidly generated. A list of locations such as logic gates and signal lines within the circuit where a fault is likely to occur is prepared (101). One of the faults is selected, and an initialization test pattern v1 which establishes an initial value for activating the fault at the location of a fault is determined by the implication operation (103), and a propagation test pattern v2 which causes a stuck-at fault to be propagated to a following gate is determined by the implication operation (105). A sequence formed by v1 and v2 is registered with a test pattern list (107), and the described operations are repeated until there remains no unprocessed fault in the fault list.

The invention provides a radar antenna power failure detection circuit. The invention relates to a failure detection circuit, in particular to the radar antenna power failure detection circuit which is capable of monitoring a power supply in real time and finding the failure in time. The radar antenna power failure detection circuit comprises a signal conditioning circuit, a multiplexing circuit, an analog-to-digital conversion circuit, a singlechip microcomputer and a peripheral circuit thereof as well as a complex programmable logic device (CPLD) logic circuit, and has the structural key points that the signal conditioning circuit is used for carrying out filtering, voltage distribution and impedance matching on 35 ways of power detection signals which are input into the signal conditioning circuit; then, the power detection signals are selected by multiplexers and enter into the analog-to-digital conversion circuit so as to be converted into digital quantity; the digital quantity is read in by the singlechip microcomputer; then compared with the specified upper and lower bound, whether the voltage is correct or not can be judged; and finally, a cell-level fault list is generated and transmitted to the higher authority through a remote sensing (RS)-485 interface to be processed.

A minisatellite and its constellation availability evaluation method based on Monte Carlo simulation. The method includes following steps: 1, acquiring a fault list of faults of classes I and II in severity of classes I and II through FMEA analysis; dividing the faults in the list according to whether the faults are repairable or not; 2, for the repairable faults, utilizing the Poisson process tomodel fault laws, utilizing on-orbit data to calculate repairable fault failure rate, determining parameters of the Poisson process; for unrepairable faults, utilizing the Wiener process to model thefault laws, and utilizing ground test data or on-orbit failure data to determine parameters of the Wiener process; 3, determining minisatellite fault criteria and constellation fault criteria, and performing availability simulation on a minisatellite and its constellation; 4, through a simulation result, calculating a ratio of on-orbit normal working duration to service life of the minisatellite,and calculating on-orbit availability of the minisatellite and its constellation. By the method, complexity of availability evaluation can be effectively reduced while minisatellite availability evaluation result accuracy is ensured.

Provided is a fault diagnosis method of transformer thunder impacts based on big data. The method comprises steps of collecting historical data of a transformer thunder impact voltage withstanding test and carrying out rapid Fourier transform on head end voltage data and neutral point current data measured in the test; establishing a fault standard database, and carrying out standardization processing so as to obtain transfer function data; carrying out standardization processing on the new thunder impact voltage withstanding test data to obtain transfer function data, and by comparing the transfer function data under 50% thunder impact voltage and under full voltage, judging whether a failure occurs; selecting related data of the same type of transformers in a fault database, and solving a correlation index rho between the transfer function data of the new test and the transfer function data in the fault database; and selecting the proximal fault information according to sequenced fault lists, setting a deviation value eta% and by taking a fault corresponding position as a center, selecting a winding segment of the eta% of the total turn number to be a test range for carrying out fault positioning diagnosis. According to the invention, feature classification is performed on massive data with fault waveforms, so the rough range of the faults can be determined; fault positioning time can be greatly reduced; and fault diagnosis is allowed to be quite quick and effective.

The invention relates to a transient stability serious fault screening method combining deep learning and simulation calculation, and belongs to the technical field of power system stability analysis.The method comprises the following steps: firstly, acquiring the data of a power system before and after fault removal to obtain a training set and a verification set; training the data through utilizing a deep belief network training algorithm before the fault occurs and after the fault is removed to obtain two transient stability evaluation models; calculating the judgment accuracy of the modelunder different thresholds by utilizing the verification set to obtain trustworthy thresholds of output results of the two models; and in combination with the two deep belief network models and simulation calculation, performing the layer-by-layer screening of transient stability serious faults to obtain a final serious fault list. According to the method, the deep learning model and the simulation calculation are combined, a part of transient stability serious faults are screened out by utilizing the deep learning model, and the simulation calculation is adopted to ensure the accuracy of results except a trusted threshold, so that the rapidity and the accuracy of transient stability serious fault screening are both considered.

The invention provides a vehicle-mounted expert diagnosis method and system. The method includes the following steps that: fault monitoring is performed on a vehicle in real time; when a fault is monitored, fault data are obtained, and a timer is started, and the fault data and a fault occurrence time point are stored in a fault list in the form of a list; and fault diagnosis is performed on failure equipment to be diagnosed according to the fault list. According to the method, fault monitoring is performed on the vehicle in real time, and when the fault is monitored, the fault data are stored the form of a list, so that an engineer can directly perform diagnosis remotely, and therefore, the root of the problem can be located quickly, and manpower cost and time cost can be greatly decreased, and requirements of users for intellectualization can be satisfied.

A calculation system of fault coverage includes a data acquiring module acquiring layout information and gate net data, a layout analysis and fault link module extracting a layout element information and generating a undetected fault list, a fault detecting module generating a detected and undetected fault list, and a weight calculating module adding layout element information as weight, based on a link file between faults and layout element information to be generated based on the layout information, the gate net data, and the detected and undetected fault list.

The invention discloses an aircraft reliability evaluation method based on an assembly outline and a fault list. The aircraft reliability evaluation method includes the steps: calculating the actual reliability index observation values of four items, including the average fault interval time MTBF, the average fault interval flight time MFHBF, the success probability MCSP of task completion and thetask time MTBCF between the fatal faults according to the actual condition of the aircraft from entering the test flight station to the delivery period and the assembly outline of the process compilation; and comparing with the designed and shaped minimum acceptable value to obtain a reliability evaluation result, thus conducting reliability evaluation of the aircraft.

The invention provides a method and a device for reporting and repairing the fault of a shared single car based on the internet of things, The method can automatically judge the fault type of the shared bicycle only according to the operation of the user, thus avoiding the tedious operation of the user to search the fault list, and improving the user's use experience; Further, In order to ensure the accuracy of trouble shooting, according to the operation of the first user, Then, the second user is prompted for the fault category to confirm the fault type, and finally, the final confirmation is made according to the use operation of the second user. The accuracy of identifying the fault type of the shared bicycle is greatly improved through the three judging operations, and the complexityof the operation of the user client is not increased.

The invention provides a fault diagnosis and processing method under a blast furnace trough, which is realized by a fault diagnosis and processing program set up on a fault response PC machine, wherein the fault diagnosis and processing program comprises an optical proximity correction (OPC) client, a background database, a fault processing program and an operation interface. An OPC client exchanges data with an OPC server to synchronize and update programmable logic controller (PLC) real-time data; the background database keeps in communication with the fault processing program and provides fault cases and processing methods thereof for the fault processing program; the fault processing program analyzes collected data so as to determine fault contents and is combined with the background database to provide a processing method; and the operation interface provides a fault list, working mode selection and a dialog box. In the invention, only one fault response PC machine is additionally arranged on the basis of the original control system of a blast furnace, and therefore, the equipment investment is small, the occupation area is small and the use effect is good.

A method and associated system for automatically correcting an application based on runtime behavior of the application. An incident indicates a performance of the application in which a problem object produces an outcome that had not been expected by a user or by a ticketing tool. An incident flow for the problem object is automatically analyzed. Actual run of the application renders a forward data flow and at least one backward data flow is simulated from an expected outcome of the problem object. The forward data flow and the backward data flow(s) are compared to create a candidate fault list for the problem object. A technical specification to correct the candidate fault list and a solution to replace the application are subsequently devised.

The invention discloses a wind power intelligent fault diagnosis method based on big data. The wind power intelligent fault diagnosis method comprises the steps of: subjecting a fault list and data files corresponding to the fault list to collection and data arrangement; establishing a main fault sorting model based on a Bayesian network; establishing a main fault positioning model based on a deeplearning algorithm; and performing real-time fault diagnosis and positioning based on the main fault sorting model and the main fault positioning model. According to the wind power intelligent faultdiagnosis method, the Bayesian network algorithm and the deep learning algorithm are combined, the problem of manual feature screening is avoided, the fault diagnosis result can be quickly obtained based on a fault sorting result and a fault positioning result, and the wind power intelligent fault diagnosis method has high anti-interference capability.

The invention relates to an intelligent monitoring and judging method for an electric power system fault, and belongs to the field of the electric power system control automation and intelligence. Themethod comprises the following steps: establishing a fault judging list; receiving a new alarm through background service, calling an accident fault judging interface to judge whether to meet a faultmodel triggering necessary condition; clicking an alarm lamp, and displaying a real-time fault monitoring and analyzing interface; checking alarm dictionary Ids of a data source one by one; filteringthe data source through the fault list; and sending a structural body of the current fault alarm to a man-machine real-time alarm window. The method aims to deeply research modeled extraction and a modeling technology of model monitoring information, and uses a model as an important basis of real-time alarm identifying and capturing. At the same time, on the basis of monitoring information modeling, scattered alarm signals are packed and eventalized as a piecemeal characteristic event. Workload of a monitor can be reduced by monitoring from an angle of the event, and the auxiliary analysis effect can be achieved for pre-judgement of the event.

The invention discloses an automatic reliability evaluation system and evaluation method based on a Zynq FPGA. The system comprises a test system, a Zynq FPGA control unit and a PC terminal fault reading module. The test system comprises an on-chip debugger based on a JTAG interface. The on-chip debugger is connected with a JTAG controller in the Zynq FPGA control unit through a JTAG interface; the Zynq FPGA control unit comprises a fault list module, a standard result module, a JTAG controller, a fault injection controller and a debugging instruction module. And the PC end fault reading module is connected with the fault injection controller through the PS end of the Zynq FPGA control unit and is used for reading and counting fault classification results stored in the fault controller. According to the invention, the communication between the test system and the software debugging tool is not necessary, so that the fault injection process is faster; a test system does not need to be modified in the fault injection method, so that the method is non-invasive; and the JTAG is one of the most common on-chip debugging interfaces, so that the JTAG can be applied to various different processors.

The invention relates to a configurable system for realizing automobile fault information display. The configurable system comprises a fault message receiving module used for receiving an automobile fault message from an automobile CAN bus according to a configurable file and transmitting fault data to a fault list query module through message analysis, a fault list query module which is used forprocessing the fault data according to the configurable file and outputting the fault content needing to be displayed to the fault information display module, a fault information display module whichis used for displaying vehicle fault information according to the configurable file, and a configurable file which is used for performing corresponding configuration. By adopting the configurable system for realizing automobile fault information display, the specific requirements of more different finished automobile customers can be met, function modularization is carried out on fault message receiving, fault list query and fault information display respectively, the defect that a traditional fault information display module is high in coupling performance is overcome, and development work capable of rapidly meeting the requirements of different clients is achieved through configurability.

The invention relates to a method for sorting transient severe faults of a power system. The method includes a first step of trend data and stable calculating data; a second step of generating a power grid model, a third step of analyzing ground state trend, a fourth step of initially forming predefined faults, a fifth step of determining and sorting at a post-fault balance point, a sixth step of determining and sorting inertia transient, a seventh step of determining and sorting post-inertia transient, an eighth step of determining and sorting an exit point, a ninth step of determining and sorting inertia transient of a minimal gradient point, a tenth step of determining and sorting post-inertia transient of the minimal gradient point, an eleventh step of determining and sorting the minimal gradient point, a twelfth step of determining and sorting faults under an unstable equilibrium point, and a thirteenth step of obtaining a related severe fault list. Content determination standards of different important nodes during a fault trajectory process are fully considered from aspects of the post-fault balance point, the exit point, the minimal gradient point and the related unstable equilibrium point through calculation, and reliability and accuracy of fault scanning are ensured.

The invention discloses a server failure processing method and a device. The method comprises the following steps: when detecting that the hard disk of the server is out of order, determining the fault type of the hard disk; Judging whether the fault type is in a locally pre-stored recoverable fault list; If the fault type is in the recoverable fault list, a resolution strategy corresponding to the fault type being obtained, and a resolution strategy of the fault type being executed.

The invention relates to a method for judging abnormalities in a hardware monitoring system, which is characterized by comprising the following steps of: firstly, filling shutdown time and corresponding host name in an application list for notes starting-up / shutting-down by a user, and sending the shutdown time and corresponding host name to an Openview server through a system in an intrinsic format, and preparing to filter special warnings in a set time; defining and reading the special warnings in a forwarding script, and judging whether the current time is within the filtered warning time; meantime, defining a special time name on MOM, and setting warnings that special CI is required for filtering; adding a column in the forwarding script, and judging the column; and finally, forwarding collected warnings by an external fault list to a special person in charge. Therefore, warning types of each system are divided, and are matched with CI at a specific side to combine with an external fault list system; warning shielding can also be carried out on specific nodes in a special time, therefore, the invention is worth popularizing for use.