80 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 discloses a method for establishing and diagnosing a full-life-cycle fault library of a fuel cell stack, and belongs to the technical field of hydrogen fuel cells. The method comprises the following steps: collecting stack data in an initial state of the stack to define an initial fault-free state of the stack; carrying out a pile fault sensitivity test, and collecting pile data in the test process to construct a pile initial state comprehensive fault library; carrying out an endurance test on the electric pile, and collecting electric pile data at fixed time intervals in the process to construct an electric pile process state comprehensive fault library; and when the pile endurance test is performed until the pile life is ended, collecting pile data at the moment so as to construct a pile life end state comprehensive fault library. According to the invention, the full life cycle state of the electric pile is collected, the corresponding fault database is established, convenience is provided for work such as electric pile working condition adjustment, recovery and repair according to the diagnosis result in the later period, and the service life of the electric pile is further prolonged.

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 provides an air conditioner control method and device and an air conditioner. The control method of the air conditioner comprises the steps that it is determined that the air conditioner is started, and fault detection is conducted on an electronic expansion valve of the air conditioner; under the condition that the electronic expansion valve is free of faults, the low pressure of the air conditioner and the temperature of an air suction port of a compressor in the air conditioner are obtained; and according to the low pressure and the temperature of the air suction port, working parameters of the air conditioner are controlled and adjusted so as to prevent liquid impact of the compressor. According to the control method and device of the air conditioner and the air conditioner, the liquid impact phenomenon of the compressor can be effectively prevented by monitoring the state of the electronic expansion valve in real time and calculating the air suction superheat degree, and therefore the reliability of a multi-split system is remarkably improved.

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.

This invention discloses a method for monitoring the integrity of an inertial / radar system for shipboard landing. Based on the presence or absence of a fault, the total integrity risk is divided into fault-free integrity risk and integrity risk based on a fault detection mode. According to integrity index requirements, the probability of misleading information under each risk type is set. A filtered state equation model is established, and a measurement equation model is further set. Based on the measurements output from the measurement equation model and combined with the probability of misleading information under each risk type, the integrity level protection threshold (HPL) under fault-free conditions is calculated. FF Based on the measurements output from the measurement equation model, and combined with the probability of misleading information under each risk type, the integrity level protection threshold (HPL) under fault detection mode is calculated. FD According to HPL FF HPL FD The integrity protection level of the inertial / satellite combined output parameters is calculated. In the precision ship landing phase, where the accident rate is highest, the system can output the horizontal protection threshold under this scheme based on the confidence index required for the scenario.

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.

The invention discloses a ship equipment fault detection method and device, a medium and a product, and relates to the field of electric digital data processing, and the method comprises the steps: introducing a bidirectional gating circulation unit and a variational auto-encoder into a teacher-student network model, and obtaining an initial detection model; respectively inputting a fault-free signal in the first sample data set and a corresponding signal in the second sample data set into a student network and a teacher network, training an initial detection model to obtain a ship equipment detection model, and inputting a to-be-detected ship equipment signal to obtain an actual detection result; in the training process, a BM method and an extreme value theory are adopted to obtain GEV distribution so as to determine a fault detection threshold value, and then ship equipment fault detection is achieved in combination with an actual detection result. According to the method, the accuracy, the robustness and the practicability of detection are remarkably improved, the technical bottlenecks in the aspects of data dependence, priori knowledge utilization, detection precision and the like in the prior art are broken through, and the detection requirements of complex and changeable statistical characteristics in a real environment are met.

The invention relates to the technical field of network fault diagnosis methods, in particular to a fault diagnosis method based on a hypercube network, which comprises the following steps: determining a symptom set sigma generated by mutual testing among all nodes of the hypercube network Qn; obtaining a preliminary fault node set F and a counter value C (v) of any node v according to the symptom set sigma of the Qn; performing descending sorting on the counter values of all the nodes through a bubble sorting algorithm to obtain an ordered sequence C; a part of nodes, which are ranked in the foremost position, of the ordered sequence C of the counter values are diagnosed as fault nodes, the fault nodes are added into a fault point set F, and the remaining undiagnosed nodes of the Qn are added into a fault-free point set FF; according to the fault diagnosis method, the network topology structure property of the hypercube network Qn and the test property of the diagnosis strategy are utilized, the fault diagnosis capability of the hypercube network Qn is greatly enhanced under the condition that fault nodes are rarely misdiagnosed, and the fault diagnosis method is high in efficiency.

The application provides a fault-tolerant scheduling method and device for an OODAflow operating system, which comprises the following steps: receiving an intelligent computing task and splitting the intelligent computing task into single tasks, encapsulating the single tasks and an environment health degree monitoring process into self-contained containers, and waiting for a computing device to schedule; deploying the single tasks encapsulated into the self-contained containers to corresponding computing nodes; in the process of executing the tasks on the computing nodes, the environment health degree monitoring process monitors the health condition of a computing device to which the computing node belongs in real time, if the health condition has a fault, the computing node exits the task and saves a checkpoint file; if there is no fault, the execution result of the task is written back to a shared storage area. The fault-tolerant scheduling system provided by the application realizes a fault-tolerant mechanism and efficient fault-tolerant scheduling for the OODAflow operating system task, and guarantees the real-time performance and reliability of the OODAflow operating system in processing the computing task.

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 discloses an abnormal monitoring data identification and restoration method based on an improved box type method, and the method comprises the steps: S1, collecting a monitoring data segment with a fixed length, building a data label through a box type graph in combination with the analysis features of a scatter diagram, and obtaining the features of the box type graph; step S2, calculating four statistical parameters of each segment of data according to the box diagram characteristics and the maximum value, the minimum value, the median, the lower quartile and the upper quartile of the display data; s3, calculating a relative difference rate by taking a statistical index of fault-free data in the same structure monitoring time sequence as a standard; s4, identifying fault data segments according to the relative difference rate of the data segments, and classifying the fault data segments; s5, adopting different repair strategies according to different fault data segments; and S6, finally, verifying the repair effect of repairing the fault data segment by adopting the repair strategy. According to the invention, accurate identification and classification of various types of abnormal data are realized.

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.

The application provides a kind of based on convolutional autoencoder's grinding process fault diagnosis method and device, it is related to fault diagnosis technical field, can diagnose the fault in grinding process in real time. Including offline modeling and online fault diagnosis. Offline modeling uses fault-free data: the frequency of slurry pump, pump pool liquid level, cyclone feed concentration, cyclone feed pressure, cyclone feed flow data establish based on convolutional autoencoder fault diagnosis model. In online fault diagnosis, the above data are collected on line and the model is used to obtain data residual value and monitoring quantity;Judge whether monitoring quantity is greater than or equal to fault detection threshold. If yes, there is a fault, analyze and output the fault type, and the fault type is divided into: sensor fault, equipment fault (the fault is divided into unstable fine ore bin feed, slurry pump feed port blockage, cyclone sand trap blockage). If not, there is no fault, and the next moment fault diagnosis is carried out.

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.

This invention provides a traction system fault detection method based on PPDM and expert prompting learning, including the following steps: S1) Obtaining the fault-free dataset U from the simulation platform. N and noisy fault dataset U F S2) Construct a reconstruction model based on PPDM, including PDM and ICM; S3) Construct a domain generalization target network clustering model to obtain P meta ;S4) Change U N Input into PDM, based on P meta Get P i The extracted features are compared with P i Reconstructed into U f1 Input into ICM, and calculate J. th ;S5) P i As "K" and "V", U F The feature is designated as "Q"; S6) will use U F Input into PDM and cross-attention network to generate P m Feature extraction and P m Reconstructed into U f2 The input is fed into ICM, j is calculated, and compared with Jth. If j > Jth, then... th There is a fault, if j <J th No faults.

The invention discloses a manual brake cotter failure fault detection method and system, relates to the technical field of rail wagon fault detection, and aims to solve the problem of low detection accuracy of an existing cotter fault detection method. According to the technical scheme, in order to accurately distinguish the failed cotter image and the fault-free cotter image, the improved Faster-Rcnn network is adopted for fault detection, the improved Faster-Rcnn network introduces a fault-free image branch in the RPN and the classification head part, and then the accuracy of fault classification is improved.

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 proton exchange membrane fuel cell fault tolerance control methods, comprising: the system model is established to proton exchange membrane fuel cell system, and state equation is established based on system model;With fault value as extended state variable, make state equation extended to augmented state equation;Based on augmented state equation, high-order sliding mode observer for observing the internal state quantity of proton exchange membrane fuel cell in real time is established, and based on the state quantity estimation value of high-order sliding mode observer and sensor measurement value, fault state judgment model is established;Determine fault state based on fault state judgment model, and carry out fault tolerance control to proton exchange membrane fuel cell system in fault state or no fault state by fault tolerance controller.The method of the present application can make the system can quickly detect and implement control when sensor failure or reactant shortage occurs, so that the system can still maintain stable output performance, with fast convergence speed, small overshoot and other characteristics.

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.