19 results about "Transient failure" patented technology

The present storage solution provides an order of operations of a computer-implemented method for performing transient failure handling with an improved application I / O resumption time for a symmetric distributed storage system; an order of operations of a computer-implemented method for performing persistent failure handling with an improved application I / O resumption time for a symmetric distributed storage system; an order of operations of a computer-implemented method for performing transient failure handling with an improved application I / O resumption time to maintain dependent write order consistency for a symmetric distributed storage system; an order of operations of a computer-implemented method for performing secondary side write Op handling to maintain dependent write order consistency for a symmetric distributed storage system; and an order of operations of a computer-implemented method for performing secondary side read Op handling to maintain dependent write order consistency for a symmetric distributed storage system in accordance with some embodiments.

The invention discloses a high-temperature superconducting cable equivalent analysis method, a high-temperature superconducting cable equivalent analysis system, a medium and electronic equipment, and relates to the technical field of power devices and superconducting power transmission. Constructing a first equivalent circuit model based on the structural characteristic parameter set, and performing cross generality screening on the material parameters by adopting a multi-factor influence separation method to obtain a first equivalent parameter set; constructing a first coupling model based on the first equivalent parameter set, and applying disturbance signals of different frequencies to perform fault simulation to obtain a working condition equivalent model; extracting transient response data based on the working condition equivalent model, and identifying transient quenching response characteristics of the high-temperature superconducting cable based on the transient response data; according to the method, a multi-objective optimization function is constructed based on transient quench response characteristics, control parameters are optimized by adopting an NSGA-III algorithm, an optimal control strategy is obtained, and the problems of high quench expansion risk and difficulty in timely regulation and control of the high-temperature superconducting cable under a transient fault are solved.

The present application belongs to the field of rail transit signal technology, and specifically relates to a rail circuit interference test analysis method, system and device, aiming to solve the problems of difficult accurate positioning of mixed interference sources, inability to capture occasional faults and subjective diagnosis. The present application comprises: multi-channel synchronous acquisition and real-time storage of voltage signals and current signals of the rail circuit; real-time processing of the original signals, analysis of different frequency components through high-resolution spectrum analysis, comparison with a preset threshold to trigger an alarm and generate a real-time analysis report in combination with time domain analysis; intelligent analysis of historical data, verification and feature recognition of fault period data through establishment of a probability model of normal working conditions to generate a diagnostic analysis report. The present application can realize accurate separation and positioning of interference sources, automatically capture transient faults, and provide objective and intelligent fault diagnosis, significantly improving the efficiency and reliability of rail circuit fault troubleshooting.

The application relates to a method for reconstructing and fusing an angle-of-attack signal, which comprises the following steps: reconstructing an inertial angle-of-attack estimation value according to first inertial data; performing transient fault judgment and steady-state fault judgment by using an effective measured angle-of-attack signal and the inertial angle-of-attack estimation value, screening a non-fault measured angle-of-attack signal according to the transient fault judgment result and the steady-state fault judgment result, and performing primary monitoring voting by using the non-fault measured angle-of-attack signal to obtain a primary voting state and a primary voting value; if the primary voting state is a non-singular state, the primary voting value is taken as a first angle-of-attack voting output value; if the primary voting state is a singular state, secondary monitoring voting is performed by using the inertial angle-of-attack estimation value and the non-fault measured angle-of-attack signal to obtain a secondary voting state and a second angle-of-attack voting output value; and a precise angle-of-attack fusion signal is reconstructed according to any one of the first angle-of-attack voting output value and the second angle-of-attack voting output value and an inertial angle-of-attack rate signal, so as to be used by an aircraft.

An energy storage power generation system and a control method thereof. When a transient fault occurs in the power grid, the plurality of power conversion systems may enter a transient-state operating mode from a steady-state operating mode, and a parallel expansion multiple of the energy storage power generation system is less than a transient overload multiple. In embodiments, a physical characteristic of transient overloading and a short-time overload capability of the power conversion system are fully used, and the power grid is supported when a power grid fault is detected. This solution simplifies an architecture of the system and increases efficiency of the system. It is easy to understand that because a quantity of power conversion systems is reduced and costs of the system are also reduced.

A method includes detecting a functional safety fault and determining whether the functional safety fault is a transient fault or a permanent fault. The method further includes identifying a scalable block of a processing unit from which the functional safety fault occurred in response to the functional safety fault being determined to be a permanent fault. The method optionally includes power collapsing the scalable block. The method also includes notifying a scheduler to prevent the scheduler from scheduling future workloads to the scalable block.

The present application relates to the technical field of power equipment state monitoring and fault diagnosis, in particular to a vacuum circuit breaker fault detection method and system based on deep fusion perception, which responds to a preset operation instruction, synchronously acquires an electrical control loop transient current signal, a main loop transient voltage drop signal and an envelope signal of a high-frequency electromagnetic field of a near-field space of an arc extinguishing chamber, and constructs a multi-dimensional state matrix; based on an electromechanical coupling energy admittance operator containing an energy conversion coefficient and an admittance matrix, phase space reconstruction is carried out, transient energy flow rate is calculated, and a transient energy trajectory in a three-dimensional energy phase space is generated; the transient energy trajectory is compared with a health state energy manifold, an orthogonal projection residual vector is calculated, and a specific fault type is determined, a quantitative diagnosis report is generated or the health state energy manifold is updated, and the present application realizes interpretable identification of vacuum circuit breaker opening and closing transient faults and improves anti-interference capability.

The present application relates to the technical field of intelligent maintenance of refrigeration equipment, in particular to a kind of intelligent maintenance system of refrigeration equipment based on digital twinning;Contain working condition perception, twin model management, stress fault decoupling, transient fault diagnosis, maintenance risk decision and closed-loop control execution unit;System determines transient disturbance index through working condition perception, and dynamically constructs twin model;Its core is to decouple out fault deviation index using dynamic stress baseline model, and diagnose fault occurrence likelihood under specific working condition, and then weighted fusion into comprehensive maintenance risk index;System executes performance optimization, life extension with disease or safety protection strategy according to risk level;The present application realizes the effective distinction of severe working condition disturbance and early fault by dynamic stress baseline model, reduces false alarm and false negative under high load.

Disclosed herein is a self-timed memory circuit with a bypass mode for testing output shadow logic. The circuit is applicable to various memory types, including ROM, HistoRAM, and TCAM. In normal operation, the memory array outputs data through sense amplifiers and latches, controlled by self-timing circuitry. The output then passes through shadow logic for additional processing. The bypass mode allows direct testing of the shadow logic by inputting test patterns (address bits or search keys) that bypass the memory array. These test signals use the same self-timing mechanisms as normal operations, providing for accurate timing representation. This approach enhances fault coverage for shadow logic, enabling detection of transient faults and at-speed errors that might be missed by conventional static testing.

The invention belongs to the field of fault early warning, particularly relates to a real-time fault early warning method and system for a labyrinth piston compressor, and aims to solve the technical problems that an existing deep learning model is insufficient in sensitivity to transient faults, and hyper-parameter optimization is prone to falling into local optimum. The early warning method comprises the following steps: S1, acquiring multi-source time sequence monitoring data, and performing normalization processing to form an input feature vector sequence; s2, constructing a time sequence feature extraction network; s3, optimizing the parameters of the network by using a partition collaborative zebra optimization algorithm; and S4, using the optimized time sequence feature extraction network to process the monitoring data in real time, outputting a fault probability sequence, and generating an early warning signal when a continuous value in the sequence is higher than an early warning threshold within a specified time length. The balance between global search and local search is realized, local optimum can be jumped out, and full optimization of parameters is ensured.

The application provides a controller redundancy bus health degree evaluation method and device, equipment and a storage medium. The method comprises the following steps: obtaining a link error rate and a signal-to-noise ratio from a physical layer chip; capturing a transient signal of a physical layer chip state pin by a field programmable gate array logic in a controller to generate a transient fault event; counting the number of transient fault events in a set sliding time window to determine a transient disturbance deduction value; determining an error code degradation deduction value and a physical signal deduction value according to the error rate and the signal-to-noise ratio; and finally determining a link performance integrity score based on a preset reference score minus the three deduction values. The method overcomes the deficiency of binary logic that cannot prewarn performance gradual change, can identify and grade the prewarning link performance degradation state in advance, and overcomes the long software polling sampling period by using the field programmable gate array logic to capture the microsecond-level transient signal, so that the transient fault can be accurately perceived and quantitatively counted.

The application relates to the technical field of chip security, and discloses a safety analysis method, device and equipment for a vehicle-grade chip and a storage medium. The method comprises the following steps: acquiring safety attribute data and circuit netlist data of the vehicle-grade chip, wherein the safety attribute data comprises a safety target; determining a first fault event and a second fault event for the vehicle-grade chip from the circuit netlist data, wherein the first fault event is an event deviating from the safety target, and the second fault event is an event triggering a transient fault of the chip; generating a circuit failure fault tree based on a logical relationship between the first fault event and the second fault event; and determining safety measurement data of the vehicle-grade chip based on the circuit failure fault tree. Through implementation of the technical scheme, the logical structure of the chip circuit can be comprehensively considered, the safety measurement data of the safety target affected by the transient fault can be accurately calculated, and effective safety analysis for the vehicle-grade chip can be realized.

The application discloses a transaction processing method and system, comprising: in response to a fund operation request from a business system, creating a flow record and marking the state of the flow record as processing; based on the fund operation request, initiating a fund operation instruction to a database; obtaining execution feedback of the fund operation instruction, if the execution feedback indicates that the operation is not successful, determining that the fund operation execution fails; determining the failure cause according to the execution feedback, and determining that the failure cause is retryable or non-retryable failure; if the failure cause is retryable transient failure, initiating a retry operation to the database; if the retry operation is still failed after N times of execution, the next step is executed; if the failure cause is non-retryable permanent failure, or the retry operation is still failed after N times of execution, a compensation transaction operation corresponding to the execution feedback of the fund operation is executed to realize rollback. Through the method, meaningless waiting and waste of retry resources can be avoided.

The invention relates to the technical field of power equipment state monitoring and fault diagnosis, in particular to a power equipment transient fault probability estimation method, which comprises the following steps: S1, constructing a pin-plate electrode discharge platform for power equipment defect simulation, collecting current-time waveforms, labeling a label 1 and a label 0, normalizing the waveforms and performing sliding window segmentation to obtain a power equipment transient fault probability model; generating a standardized training set; s2, constructing a recursive Bayesian neural network containing a GRU-attention module and a Bayesian reasoning module, extracting time sequence features, and obtaining parameter posterior distribution through Hamiltonian Monte Carlo sampling; and S3, performing Bayesian updating by taking the current posteriori as the prior in combination with the new waveform, performing online estimation according to the updated distribution, and outputting a fault probability and an uncertainty index. According to the method, the GRU-attention mechanism and the recursive Bayesian reasoning are fused, so that the dynamic estimation and uncertainty quantification of the transient fault probability of the power equipment are realized.

The invention discloses a distributed real-time fault monitoring method and system, belongs to the technical field of optical communication network fault monitoring, and realizes high-sampling-rate continuous monitoring of optical power waveforms through distributed deployment of monitoring units. A millisecond transient fault is captured in real time by adopting an intelligent triggering algorithm based on the instantaneous change rate, the power reduction amplitude and dynamic threshold self-adaption; identifying and stripping a plurality of fault events which occur at the same time or in an overlapping manner by using a multi-event intelligent decoupling algorithm; and based on the relative time difference of the fault event on different monitoring units, the fault occurrence position is accurately calculated by combining optical signal propagation delay. According to the invention, real-time high-precision detection of millisecond transient faults is realized, real-time continuous monitoring can be carried out without interrupting services, the faults are accurately positioned to specific physical positions (such as 30km), multi-fault scenes are effectively processed, troubleshooting time is greatly reduced, and reliability and operation and maintenance efficiency of an optical network are remarkably improved.

This invention relates to the field of power equipment condition monitoring and fault diagnosis technology, specifically to a method and system for detecting faults in vacuum circuit breakers based on deep fusion sensing. This method responds to preset operation commands, simultaneously acquiring transient current signals from the electrical control circuit, transient voltage drop signals from the main circuit, and the near-field high-frequency electromagnetic field envelope signal from the arc-extinguishing chamber, constructing a multi-dimensional state matrix. Based on an electromechanical coupling energy admittance operator containing energy conversion coefficients and admittance matrices, it reconstructs the phase space, calculates the transient energy flow rate, and generates the transient energy trajectory in the three-dimensional energy phase space. This trajectory is compared with the healthy state energy manifold, and the orthogonal projection residual vector is calculated. Based on this, a specific fault type is determined, a quantitative diagnostic report is generated, or the healthy state energy manifold is updated. This invention enables interpretable identification of transient faults during opening and closing of vacuum circuit breakers and improves their anti-interference capability.

The invention relates to the technical field of intelligent maintenance of refrigeration equipment, in particular to an intelligent maintenance system of refrigeration equipment based on digital twinning. The system comprises a working condition sensing unit, a twin model management unit, a stress fault decoupling unit, a transient fault diagnosis unit, a maintenance risk decision unit and a closed-loop control execution unit. The system determines a transient disturbance index through working condition sensing, and dynamically constructs a twinborn model; the core of the method is that a fault deviation index is decoupled by using a dynamic stress baseline model, fault occurrence likelihood is diagnosed under a specific working condition, and then a comprehensive maintenance risk index is obtained through weighted fusion; the system executes a performance optimization strategy, a service life extension strategy or a safety protection strategy according to the risk level; according to the method, through the dynamic stress baseline model, effective distinguishing between violent working condition disturbance and early faults is achieved, and misinformation and missing report under high loads are reduced.

The invention relates to the technical field of industrial EtherCAT communication diagnosis, in particular to an FPGA (Field Programmable Gate Array)-based Ethercat hardware diagnosis tool, which comprises an FPGA chip, a DDR3 (Double Data Rate 3) memory module, a dual-channel communication interface module, an interaction control module, an FPGA chip integrated hardware-level jitter analysis engine, a programmable error simulation module and a data frame processing unit, etherCAT data capture, jitter quantitative analysis, error injection and data packet processing can be realized; the DDR3 memory module constructs a high-speed cache pool and configures an intelligent trigger storage mechanism to realize high-speed lossless storage and transient fault data locking; the dual-channel communication interface module adopts a control interface and a data interface which are physically isolated to independently transmit a control signal and an original EtherCAT data stream respectively; and the interaction control module realizes man-machine interaction, transmits a control instruction and feeds back diagnosis data. A data frame processing unit embeds a Switch Link field in a data packet, a diagnostic tool is compatible with a Wireshark analysis tool, and active deep diagnosis, high-speed lossless storage and rapid fault positioning can be achieved.

The application relates to a distributed real-time fault monitoring method and system, belonging to the technical field of optical communication network fault monitoring, which realizes high-sampling-rate continuous monitoring of optical power waveforms through distributed deployment of monitoring units; adopts an intelligent triggering algorithm based on instantaneous change rate, power drop amplitude and self-adaption with a dynamic threshold to capture millisecond-level transient faults in real time; utilizes a multi-event intelligent decoupling algorithm to identify and strip multiple fault events occurring simultaneously or overlapping; and based on the relative time difference of fault events on different monitoring units and in combination with optical signal propagation delay, accurately calculates the fault occurrence position. The application realizes real-time high-precision detection of millisecond-level transient faults, can perform real-time continuous monitoring without interrupting services, accurately locates faults to specific physical positions (such as 30 km), effectively handles multiple fault scenarios, greatly reduces fault troubleshooting time and significantly improves the reliability and operation efficiency of optical networks.