49 results about "Fault free" patented technology

The invention provides an intelligent management method and system for global environmental control heat dissipation of a wind power plant, and is applied to the technical field of data processing. According to the application, wind power plant equipment operation and environment parameters are obtained, a global environment control sensing module is used, a core equipment state is monitored by means of multi-sensor fusion, and an equipment-environment association model is constructed to obtain a preliminary heat dissipation demand; an intelligent heat dissipation regulation and control module optimizes a strategy to generate a precise control instruction; the frequency converter fault-free management module dynamically adjusts parameters to form fault-free management information; coordinating equipment linkage through a joint optimization strategy to generate a global environment control scheme; and finally, the operation efficiency evaluation module outputs evaluation information containing efficiency and a safety coefficient, so that intelligent management of heat dissipation of the wind power plant is realized.

The invention belongs to the technical field of fault-tolerant control of an electronic system, and particularly relates to a dual-microcontroller system and a control method thereof, and the dual-microcontroller system comprises a hardware architecture and a software architecture; the hardware architecture specifically comprises a main MCU module, a standby MCU module, a dual-power module, a dual-measurement acquisition module, a hardware arbiter and an output switching value module; the software architecture comprises the steps of initializing a data synchronization communication interface of the main MCU module and the standby MCU module, starting the main MCU module and the standby MCU module, reading data of the measurement acquisition module in a working program state machine by the main MCU module, interacting with external equipment through the communication interface and driving switching value output; and when the main MCU module has no fault, the hardware arbiter selects the switching value output of the main MCU module to drive the external equipment, and when the main MCU module has a fault, the hardware arbiter selects the switching value output of the standby MCU to drive the external equipment.

The invention provides an application recovery method, device and equipment, and is applied to the technical field of electronics. The method comprises the steps that context information of an application is stored under the condition that the application is abnormally closed, whether the reason for the abnormal closing of the application is bit errors of a plurality of memory pages occupied by the application or not is determined, if yes, a fault memory page with the bit errors in the memory pages is replaced with a fault-free free memory page, and if not, the application is abnormally closed. And recovering the application according to the plurality of replaced memory pages and the context information. According to the method provided by the invention, by utilizing the characteristic that the memory page distributed for the application is replaceable, when the application is abnormally closed due to the bit error of the memory, the fault memory page with the bit error is replaced by the free memory page without the fault, so that the bit error in the memory page is shielded; according to the method, the time for recovering the application to the state before abnormal closing can be shortened, so that the interruption time of related functions after the application is abnormally closed can be shortened, and the influence possibly caused by the abnormal closing of the application on a user is reduced.

The invention belongs to the technical field of air conditioners, and discloses air conditioning equipment, a fault diagnosis method and device of the air conditioning equipment and a computer readable storage medium. The fault diagnosis method for the air conditioning equipment comprises the steps that a fault-free time sequence prediction model of the air conditioning equipment, operation parameters of the air conditioning equipment at all moments within a first preset duration, corresponding actual state parameters of the air conditioning equipment under the operation parameters and the change trend of the actual state parameters are obtained, and all the moments comprise the current moment; inputting the operation parameters into a fault-free time sequence prediction model to obtain prediction state parameter distribution information of the air conditioning equipment; determining a fault diagnosis threshold range of the air conditioning equipment according to the predicted state parameter distribution information; and performing fault diagnosis on the air conditioning equipment according to the actual state parameter at the current moment, the fault diagnosis threshold range and the change trend. According to the method, dynamic self-adaptive generation of the diagnosis threshold can be realized, the diagnosis accuracy and the working condition robustness are improved, and the early warning capability for early-stage slowly-changing faults is remarkably enhanced.

The invention relates to a transformer fault monitoring method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: receiving monochromatic light processed by an infrared spectrum monitoring device every preset period, and converting the monochromatic light into an electric signal; based on the electric signals, concentration data of methane, ethane, ethylene, acetylene, carbon monoxide and hydrogen are determined respectively; determining that the transformer has no fault under the condition that the spectrum of the monochromatic light has no change; and inputting the concentration data into the trained fault diagnosis model for processing, and determining the fault type and early warning information of the transformer. By adopting the method, the accuracy of transformer fault monitoring can be improved.

The invention discloses a micro-service architecture-oriented fault identification method and system without fault marking, and the method comprises the following steps: constructing a micro-service topological potential energy field based on full-link call data collected in real time, and obtaining the potential well depth of each node depended by a whole network; based on a business semantic type extracted from the call chain; calculating an index vector health consistency coefficient of each node and a direct upstream node under the same service semantic type; performing joint calculation according to the overall dynamic semantic entropy break variable, the potential well depth and the health consistency coefficient to obtain a fault score; when the overall dynamic semantic entropy break variable, the health consistency coefficient and the fault score meet preset triggering conditions at the same time, it is judged that a corresponding node breaks down, and an alarm is output; according to the method, the micro-service calling topological graph with the weight is constructed in the sliding time window, so that the utilization degree of structural information during node state judgment is improved.

The invention relates to a fault positioning method, device and equipment and a computer readable storage medium, and the method comprises the steps: carrying out the health detection of a target computing power node in at least two computing power nodes under the condition of receiving a model training request, the health detection comprises at least one of arithmetic unit detection, communication link detection and model training detection; under the condition that the detection result of the health detection represents that the target computing power node has no fault, responding to the model training request, and executing a model training task through the target computing power node; under the condition that the model training task is interrupted, the fault computing power node in the target computing power node is positioned according to a training log, and the training log is a log output in the process of executing the model training task. According to the invention, faults occurring before and in the process of executing the model training task by the target computing power node can be positioned, and the accuracy of fault positioning is improved.

The invention relates to the technical field of automobile electronic system detection, in particular to a CAN signal fault injection function safety test device based on vehicle integration. Comprising an operation table and a test control board, and the operation table comprises a fault configuration module and an operation display module; the fault configuration module is used for configuring a CAN model fault type to be injected into the tested ECU and a fault injection object; the operation display module is used for sending a fault triggering instruction to the test control panel and receiving and displaying a test result; the test control panel comprises a two-way CAN interface module, a fault injection module, a safety monitoring module and a timing processing module. The two-way CAN interface module comprises a first CAN interface and a second CAN interface, the first CAN interface is used for being connected with a whole vehicle CAN network, and the second CAN interface is used for being connected with a tested ECU; and the fault injection module is used for forwarding a CAN message received by the whole vehicle CAN network through the first CAN interface to the tested ECU through the second CAN interface when the fault-free trigger instruction is yes, and executing corresponding fault injection operation on the CAN message in the forwarding process according to the configured fault type and the fault injection object when the fault trigger instruction is received.

This invention relates to a method for analyzing railway locomotive signal faults. The purpose of this invention is to solve the problem that when a locomotive signal fault occurs while the locomotive is running on the line, the cause of the fault cannot be clearly identified, affecting the normal operation of subsequent locomotives. The process is as follows: 1. Obtain fault data at the location corresponding to the current fault and fault-free data of the same locomotive at the same location in the previous instance; 2. Obtain the current fault location data and the data prior to the current fault location; obtain the previous fault-free location data and the data prior to the previous fault-free location; 3. Calculate the abrupt changes in the current fault location data, the abrupt changes in the data prior to the current fault location, the abrupt changes in the previous fault-free location data, and the abrupt changes in the data prior to the previous fault-free location; 4. Determine the cause of the fault. This invention is applicable to the field of railway locomotive signal fault analysis.

The present application provides a fault localization method and device, applied to a receiving end device. The receiving end device can determine a first reconfigured link to be detected, wherein the first reconfigured link is a link obtained by reconfiguring a first sublink in a faulty first link and some of links in a fault-free second link. The first link, the second link, and the first reconfigured link are all links from a transmitting end device to the receiving end device, and the transmitting end device and the receiving end device communicate through an optical fiber link. Specifically, the first reconfigured link is a link formed by replacing a corresponding link in the second link with the first sublink. After determining the first reconfigured link, the receiving end device can perform fault detection on the first reconfigured link, and on the basis of a fault detection result of the first reconfigured link, the receiving end device localizes whether a fault location of the first link comprises the first sublink. Thus, by means of the present solution, a fault location of a first link can be localized when a fault occurs in the first link.

The invention belongs to the technical field of transmission casing bearing fault diagnosis, and particularly relates to a typical small bearing weak fault comprehensive diagnosis standard construction method, which comprises the following steps: respectively carrying out inner ring, outer ring and rolling body bearing fault simulation tests; a filtering frequency band is selected based on a weighted kurtosis value improved Protugram algorithm, an envelope spectrum is extracted after filtering and noise reduction, and a bearing fault diagnosis standard threshold value is established based on an envelope spectrum characteristic value method; based on a preset fault test, comprehensively analyzing envelope spectrum characteristic values of different faults and different measuring points, and establishing a comprehensive early warning diagnosis standard; based on a failure fault test, envelope spectrum characteristic values of different faults and different measuring points are comprehensively analyzed, and a comprehensive failure diagnosis standard is established. And after judging that the bearing has no fault, respectively carrying out a preset fault test and a failure fault test, and establishing an early warning diagnosis threshold value and a failure standard threshold value for the fault characteristic sensitive measuring points on the basis of measuring point optimization analysis, thereby realizing early warning and failure judgment of the bearing fault.

Electric vehicles, methods for operating electric vehicles, and methods for manufacturing electric vehicles are disclosed. A system includes a module configured to control an aspect of an electric vehicle and a main controller including a variant manager. The variant manager is configured to retrieve redundant sets of runtime variants from their respective memory locations. One set of runtime variants influences how the module controls the aspect of the electric vehicle. Based on a comparison of the redundant sets of runtime variants, the module determines a fault-free set of runtime variants and applies the fault-free set of runtime variants to the module. The electric vehicle may include a battery, and the module may be a battery management system configured to control the battery.Comparing the redundant sets of runtime variants may include performing a cyclic redundancy check.

The invention provides a fault diagnosis and fault-tolerant control method and system for a duplex-winding permanent magnet synchronous motor, and the method comprises the steps: designing a diagnosis method for an open-circuit fault, a grounding fault and a turn-to-turn short circuit fault for a target motor of which the type is the duplex-winding permanent magnet synchronous motor, carrying out the fault diagnosis of the target motor, and outputting a motor fault state mark; distinguishing corresponding motor fault states according to the obtained motor fault state marks; if the target motor has no fault, corner tracking control is carried out on the target motor; if the target motor is in the fault state, triggering corresponding fault-tolerant control schemes according to different fault states and applying corresponding constraint conditions; if the state is the healthy state, the control current is only determined by the motor model of the target motor and the rotation angle tracking controller, and if the state is the fault state, additional constraint is applied to the control current according to the fault type on the basis of the healthy state, so that the double-winding permanent magnet synchronous motor can stably operate in both the healthy state and the fault state.

The embodiment of the invention discloses an availability improving method and device of a video monitoring system and electronic equipment. The method comprises the following steps: constructing a main cluster and a standby cluster corresponding to service equipment, carrying out pairing hot standby on the main cluster and the standby cluster based on video monitoring service nodes, and determining fault report information corresponding to each video monitoring service node in the main cluster, and finally, migrating the video monitoring service request from the main cluster to the standby cluster according to the fault report information, and allocating a new video monitoring service request to a target video monitoring service node based on a dynamic load balancing algorithm. Through the cluster hot standby step, fault waiting, deployment and service starting are not needed, the average repair time of the video monitoring system is shortened, the fault detection accuracy is improved by combining video monitoring service related fault information, the fault occurrence probability is reduced by adopting the dynamic load balancing technology, the average fault-free time is prolonged, and the fault detection efficiency is improved. Therefore, the purpose of improving the availability of the video monitoring system is integrally achieved.

The invention provides a fault diagnosis and start-stop threshold optimization method and system for a water chilling unit and a terminal, and particularly relates to the technical field of intelligent control of an air conditioning system.The scheme includes the steps that on the basis of a preset fault diagnosis rule base, a plurality of key index characteristics of the water chilling unit in a historical operation period are diagnosed, and fault indexes are determined; the accuracy of fault index detection can be obviously improved; and obtaining a fault diagnosis result based on all the fault indexes and the current start-stop threshold. The scheme is an event-driven and model-free control scheme, a water chilling unit switching decision does not need to be corrected based on high-quality fault-free data and a complex data driving model, the scheme is simple and has very high universality, and the control robustness and the operation energy efficiency of the system can be improved.

The invention relates to the technical field of instrument fault detection, in particular to an instrument fault detection method and device, and the method comprises the steps: selecting a comparison instrument based on a detected instrument; historical data of the two instruments in the fault-free interval are collected and preprocessed; reconstructing the preprocessed historical data of the two instruments to obtain an input matrix and an output matrix, and then training respective GRU prediction models by using respective input matrixes and output matrixes of the two instruments; the historical data sequence is predicted by adopting the GRU prediction models trained by the two instruments respectively, predicted value sequences of the two instruments are obtained respectively, and absolute values of relative errors of predicted values at all points are obtained based on the predicted value sequences and actual data sequences respectively; and whether an instrument fault occurs is determined based on whether the absolute value of the relative error of the two instruments at each point satisfies normal distribution. By applying the method, the process fluctuation and the instrument fault can be correctly distinguished on the premise of not increasing the redundancy cost of the instrument.

The application discloses a kind of service process troubleshooting method, electronic equipment and computer readable medium, it is related to computer technical field, method includes: receiving initial fault query request of natural language;Initial fault request is written into initial prompt word template, obtain final prompt word;Final prompt word is sent to big model;Obtain the final fault query request returned by the big model;The final fault query request is handled, and the application to be checked is determined;In the case where the application to be checked is determined to have no fault in initial troubleshooting, the business process corresponding to the application to be checked is determined;In the case where the execution order of all applications involved in the business process is correct, each application in the business process is troubleshooting according to execution order.The present application has the advantages and characteristics of automatic matching business process, executing fault troubleshooting according to execution order, high troubleshooting accuracy and high troubleshooting efficiency.

The invention belongs to the technical field of integrated circuit design and information security, and particularly relates to a fault detection method and system for a cryptographic chip. The fault detection method for the cryptographic chip comprises the following steps: when the cryptographic chip runs a cryptographic algorithm, injecting a preset test vector into input data of algorithm logic; obtaining an actual output result of the algorithm logic corresponding to the test vector; comparing the actual output result with a pre-calculated expected output result under a fault-free condition; and judging whether the password chip has a fault or not according to a comparison result. The invention also correspondingly provides a system for realizing the method. According to the method, the test vector is actively injected and the output result is compared, so that the calculation error of the cryptographic chip caused by hardware faults, side channel attacks or natural aging and the like can be effectively detected, and the method has the advantages of high detection real-time performance, low hardware overhead, high universality and the like.

The embodiment of the application provides a database cluster switching method, an electronic device, a storage medium and a program product. The method comprises the following steps: determining a fault identifier to determine the fault state of a master database cluster (a first database cluster); obtaining a first service running parameter; and using a preset switching state evaluation model to distinguish and evaluate the running state of a core service and a non-core service to obtain a switching state score. The switching request is generated and the switching to a standby database cluster (a second database cluster) is performed only when the fault identifier indicates a fault and the switching state score is greater than a first threshold. The beneficial effect is that the fault identifier is used to accurately determine the fault state of the master cluster, and the invalid switching in the fault-free scenario is avoided. The switching state evaluation model is used to evaluate the core service and the non-core service, the key state of the service running is accurately captured, and the accuracy of the database cluster switching decision is effectively improved.

The application relates to the technical field of digital information transmission, and provides a fault-tolerant 2-DPC construction method and system based on a PEF model, which comprises the following steps: determining a BCube logical graph and a fault edge set; verifying whether the fault edge set satisfies a fault partition edge fault condition, and dividing a subgraph according to the most fault edge number dimension; selecting a start point pair and an end point pair; constructing an initial 2-DPC path and a Hamilton path according to the distribution of the start point and the end point in the subgraph, and splicing the initial 2-DPC path and the Hamilton path to obtain a final 2-DPC path. The application utilizes the recursive characteristics of BCube, divides the BCube into multiple different subgraphs, connects the Hamilton path and the fault-free edges between the subgraphs, and finally constructs two non-intersecting paths from the start point to the end point, covering all the points in the graph. The application realizes exponential edge fault tolerance, improves the fault tolerance of the BCube data center network, and has important research significance and application value.

The invention relates to the technical field of computers, in particular to an AI fault self-diagnosis method and device for air conditioning equipment, and the method comprises the steps: collecting the multi-modal data of the operation of the air conditioning equipment through a multi-point Internet of Things sensor network, and carrying out the synchronization and filtering processing of the multi-modal data; extracting time sequence features and depth features from the processed multi-modal data, and splicing the time sequence features and the depth features into a unified multi-modal feature vector through a feature splicing algorithm; generating a fault-free baseline through unsupervised self-training, judging whether the multi-modal feature vector deviates from fault-free distribution in combination with Bayesian reasoning, and triggering anomaly detection; obtaining an abnormal feature vector, and recognizing a fault type through a hybrid fault diagnosis model according to the abnormal feature vector; and according to the fault type, the abnormal feature vector and a preset knowledge graph, tracing the fault root cause, and generating a standardized inspection step. According to the method, the comprehensiveness and the accuracy of fault diagnosis of the air conditioning equipment can be improved.

The application discloses a fault identification method of full-electric kitchen utensils, and relates to the technical field of fault identification. The method comprises the following steps. By introducing a non-uniform sub-grid division mechanism, the monitoring accuracy of the heating area can be focused on the key position, and the waste of resources in the fault-free area can be avoided, so that the detection efficiency is improved. At the same time, by using the power spectrum and harmonic distortion characteristics of electromagnetic radiation, early identification of abnormal signals is realized, and multi-dimensional cross verification is combined with temperature data, so that the accuracy and reliability of discrimination are further improved. By dynamically adjusting the sub-grid density, the application ensures that sufficient resolution is still available for accurate positioning in the case of initial fault or weak anomaly. By applying an excitation signal of a combination frequency and extracting the response change, the application can effectively identify the fault position, realize the whole-process closed-loop diagnosis from macroscopic screening to microscopic identification.

The invention particularly relates to a method for realizing fault diagnosis based on MaxSAT, which is characterized in that a candidate component set is reduced by iteratively applying a fault positioning model and a MaxSAT algorithm, accurate identification of fault components is realized, an enhanced model diagnosis method is provided, and fault diagnosis is realized by gradually reducing the fault positioning model by using the MaxSAT algorithm. According to the method, the maximum number of the components with output logic changes in different observation values can be identified, the fault-free components are effectively deleted from the candidate diagnosis, the method is superior to the existing advanced technology on the standard test basis, and a reliable scheme is provided for reliable diagnosis of a complex system.

The invention relates to a control system (2) for a motor vehicle, comprising a first control unit (4) for controlling a function of the motor vehicle and a second control unit (6) for controlling the same function, wherein the first and the second control units (4, 6) are each connected to at least one sensor (12, 14, 20, 22, 40, 42) and at least one actuator (8, 10, 16, 18) for performing this function by means of signal transmission, wherein the control system (2) is designed such that the aforementioned function can be performed jointly by the first and the second control units (4, 6) in a fault-free normal operation of the control system (2) and, depending on an input of a fault signal from a faulty control unit (4), the fault-free control unit (6) can be automatically configured such that the sensor (12, 14, 40, 42) corresponding to the faulty control unit (4) and the sensor corresponding to the faulty control unit (4) are corresponding actor (8,10) for the purpose of carrying out the function is controllable solely by means of this fault-free control unit (6).

This invention discloses a fault-tolerant control method for a T-type three-level inverter based on model predictive control, comprising the following steps: S1, classifying open-circuit fault conditions; S2, if no fault occurs, execute S6; S3, when a fault occurs, obtain the location signal of the faulty device; S4, determine whether the current fault condition belongs to the fault condition requiring fault-tolerant topology transformation. If it does, continue to execute S5; otherwise, execute S8; S5, perform circuit topology switching; S6, perform model predictive fixed-frequency control on the current circuit topology; S7, determine whether a fault occurs again. If a fault occurs, return to S3; otherwise, continue to execute S6; S8, disconnect all switching devices and stop the inverter from operating. This invention effectively solves the problem of performance degradation or even shutdown of permanent magnet synchronous motors after an open-circuit fault occurs in the inverter, improving the reliability and safety of the propulsion system of electric propulsion aircraft.

The invention relates to a pick-up and / or set-down disc for moving a container from a first position to a second position, in particular for a container cleaning machine. In order to provide a pick-up and / or set-down disc (1) which, even at a high container throughput, permits fault-free pick-up and set-down of containers and long uninterrupted operation, wherein the wear occurring on the driver elements (3) is minimised and significantly reduced noise development is achieved, the invention proposes that the pick-up and / or set-down disc (1) has a disc main body (2) for arranging the pick-up and / or set-down disc (1) on a disc shaft axis and at least one driver element (3) arranged on the disc main body (2) for guiding the container during moving, wherein a protective cap (4) is fixed to the driver element (3).

The application provides a fault injection simulation processing method, device and equipment for a vehicle chip. The method comprises the following steps: determining a target fault point on a chip; injecting a fault signal at the target fault point in a fault injection simulation process for the chip; and obtaining simulation data of each observation point on the chip in the fault injection simulation process. The simulation data and simulation reference data of fault-free simulation are compared, the target fault point on the target chip is classified, the simulation is monitored, the fault classification of the fault point is completed, a large amount of simulation time is saved in large-scale random fault injection simulation, and the development of the chip and the convergence speed of safety indicators are accelerated.

The application discloses an industrial fault detection method based on structured augmented dictionary learning, which firstly processes the fault-free component through a basic dictionary, and simultaneously introduces an additional low-dimensional sparse dictionary for accurately reconstructing the fault-related part, thereby avoiding the dispersion of fault information. Secondly, in order to ensure that the fault-free part is in a statistical control state, the steady-state statistical characteristics and manifold structure constraints are embedded in the basic dictionary coefficients, and the feature variables related to faults are accurately selected through a hard sparse constraint, thereby effectively ensuring that the fault-free signal in the industrial process is not disturbed, so that the accurate separation of the fault and normal components of the signal is realized in sparse decoding, and the fault mode is accurately revealed. In addition, the application adopts an aggregation method based on a moving window, which significantly improves the sensitivity and detection efficiency of the initial fault of the industrial process, and provides an efficient and reliable fault diagnosis solution for industrial applications.

The disclosure provides a breakpoint setting method based on program running process, an electronic device and a storage medium, wherein the breakpoint setting method comprises: scanning a disassembly file of a program to be run, identifying all branch node types, setting related branch node instruction information according to an instruction set architecture, and obtaining an initial jump table recording all branch node information; analyzing the initial jump table and executing a preset instruction to set a breakpoint table; when the program is scheduled to a running state, sequentially setting breakpoint addresses of the preset instruction according to a fixed breakpoint interval granularity based on the breakpoint table, and / or when a certain branch node is detected to be fault-free, modifying the breakpoint interval granularity through an instruction, adjusting the breakpoint address of the branch node and updating the breakpoint table. Thus, full-automatic analysis in a software verification process can be realized, and only one configuration for the instruction set architecture is needed, which can effectively improve the operation efficiency of the program.

The invention discloses a fault tracing method and device in a sylvite production process and electronic equipment. The method comprises the following steps: collecting production data corresponding to a plurality of pieces of production equipment in a preset time period in a sylvite production process; according to the production data, target hidden representations corresponding to the multiple pieces of production equipment in a preset time period are determined, and then a fault track and a fault-free track in the sylvite production process are determined; based on the fault track and the fault-free track, potassium salt deviation values corresponding to the multiple pieces of production equipment in the preset time period are determined; based on the potassium salt deviation values corresponding to the multiple pieces of production equipment respectively, an instantaneous elasticity information set in the preset time period is determined; and based on the instantaneous elastic information sets corresponding to the plurality of predetermined time periods of the target batch, performing fault tracing on the potassium salt production process of the target batch, and determining fault production equipment. The technical problem that the traceability result of the fault production equipment in the potassium salt production process is not accurate in the prior art is solved.