14 results about "Fault correction" patented technology

The invention discloses an intelligent fault diagnosis method, device and equipment and a storage medium, and relates to the technical field of new energy automobile thermal management, and the method comprises the steps: obtaining a sensor collection parameter, vibration feature information and a heat source coupling parameter; inputting the sensor acquisition parameters, the vibration characteristic information and the heat source coupling parameters into a reinforcement learning model to predict a potential fault, and determining a fault type, a fault confidence coefficient and fault evolution trend information; performing fault identification based on the fault type and the fault confidence, and determining fault type information; and generating a corresponding fault correction report based on the fault category information and the fault evolution trend information. According to the method, the potential fault is predicted in advance through the reinforcement learning model, the type, confidence and evolution trend of the potential fault are accurately deduced, a dynamic fault correction report is generated, the fault is intervened in advance, the diagnosis accuracy is improved, and fault diagnosis from passive response to active prevention and considering reliability and energy efficiency is realized.

The present disclosure relates to a BMS that includes processor(s) that execute instructions to obtain a fault rule related to a building parameter and determine that a fault has occurred based on the fault rule and initial BMS data indicating an initial value of the building parameter. The instructions cause the processors to perform an automatic fault correction process including increasing or decreasing an operational value of building equipment that operate to affect the building parameter by a preset interval, operating the building equipment using the increased or decreased operational value to affect the building parameter, and determining whether the fault was resolved. Responsive determining that the fault was not resolved, the instructions cause the processor(s) to repeat the automatic fault correction process until either the fault is resolved, or the operational value of the building equipment reaches a minimum or maximum value threshold.

The invention relates to the field of power grid data scheduling, and discloses a power grid business data intelligent scheduling method based on multi-source data fusion, which comprises the following steps: fusing different business data of a power grid for risk assessment and fault probability assessment of the power grid and user loads, and combining a fault probability assessment result to obtain a power grid business data intelligent scheduling result; and carrying out load intelligent scheduling strategy construction and fault correction strategy construction on the user load and the power grid in the high-risk state. The system can accurately and actively identify the operation risk of the power grid, achieves the intelligent load transfer of main and distribution cooperation, can prevent faults in advance, achieves the quick response when the faults occur, effectively reduces the power-off time and range, guarantees the normal power demands of all walks of life and residents, and improves the power utilization efficiency. And meanwhile, unnecessary equipment overload and redundant operation can be avoided, the operation cost of the power grid is reduced, the service life of equipment is prolonged, and the operation economic benefit of the power grid is improved on the whole.

A method (50) of applying a Crifford circuit to a correction fault in a qubit register (12) of a quantum computer (10) includes receiving (52) circuit data defining the Crifford circuit; receiving (56) additional data identifying one or more measurements for each of a plurality of faces (48) belonging to the lattice (44); issuing (58) a result code based on the circuit data, the result code comprising a series of result checks, each result check corresponding to an expected error syndrome for application of the Crifford circuit to the qubit register; and issuing (60) a topology result code based on the circuit data, the additional data and the result code, the topology result code comprising a series of check operators that support quantum error correction via a topology decoder, thereby enabling fault correction in the application of the Crifford circuit to the quantum bit register.

The invention discloses a telecontrol communication machine fault detection method and system, and the method comprises the steps: synchronously collecting a communication signal distortion parameter, a power fluctuation parameter, an environment electromagnetic interference parameter and a module temperature parameter in the operation process of a telecontrol communication machine; establishing a dynamic coupling fault model based on the coupling characteristics of the parameters to calculate fault deviation; dynamically adjusting a compensation coefficient according to the fault deviation and historical data; combining the fault deviation, the compensation coefficient and the electromagnetic interference change rate to generate a fault correction amount and performing adjustment; and feeding back an adjustment result to the dynamic coupling fault model to form a closed loop. The system correspondingly realizes the method. According to the method, the problem of fault misjudgment caused by influence of various factors is solved, and the fault detection accuracy and the response speed are improved.

Commutation control method and system for a brushless motor and a readable medium. The method includes: if the commutation control fails upon detection of the zero crossing of the back EMF, acquiring a bus current value and / or a commutation time; performing processing based on the acquired bus current value and / or commutation time to acquire processed information; determining whether the processed information satisfies a preset condition; and, if the preset condition is met, controlling the motor to perform a forced commutation.If commutation faults occur in a brushless motor without a position sensor under certain operating conditions, a specific fault correction mechanism is used to correct the failed detection and control in order to ensure normal operating control of the motor, allowing the system to continue operating and increasing the stability of the system.

An electrical generator system comprising a control device (2) configured to detect a fault (OL) in an electrical distribution unit (EDU), to issue a priority parameter setpoint value (PpCONS 2), for regulating the voltage (RegU), in the event of detecting a fault (OL), to an assisting converter (C2) having an assisting power (Pass), and, once the fault (OL) has been corrected, to issue a priority parameter setpoint value (PpCONS 2), for auxiliary regulation (RegA), to the assisting converter (C2) on the basis of the latest assisting power (Pass).

This disclosure provides systems, methods, and devices for memory systems that support SRAM fault correction. In a first aspect, a method includes receiving, by a memory controller coupled to a memory module through a first channel and configured to store data in and access data stored in the memory module through the first channel from a host device, data to be stored in a memory of the memory module, determining, by the memory controller, a row in the memory at which the data will be stored, determining, by the memory controller based on the row, an address associated with the row, wherein the address indicates one bit location in the row at which data will not be stored, and storing, by the memory controller, the data at the row in accordance with the address, wherein the data is not stored at the one bit location.

The embodiment of the invention provides a temperature drift self-healing control method and device for a high-temperature aging table of an integrated circuit. The temperature drift self-healing control method for the high-temperature aging table of the integrated circuit comprises the following steps: acquiring first output results of at least two temperature sensors of a high-temperature test box of the aging table at the current moment and second output results of a plurality of historical moments; determining the distance between the temperature sensors at the current moment based on the first output result and the second output result; determining a weight corresponding to each temperature sensor according to the distance; determining the fault type of the target temperature sensor based on the first output result and the second output result under the condition that the target temperature sensor is determined to have a fault according to the weight; and performing fault correction on the target temperature sensor based on the fault type.

The present disclosure relates to a system (100) for fault analysis and / or fault correction in a vehicle (10), comprising: - an input module (110) configured to receive input data (FM, KD1, KD2, KD3), wherein the input data (FM, KD1, KD2, KD3) comprise an error message (FM) relating to a vehicle fault and context data (KD1, KD2, KD3) relating to the vehicle (10); and - an interaction and analysis module (120) that is set up for user interaction (NI) using a Large Language Model (LLM), wherein the Large Language Model (LLM) is set up to perform the user interaction (NI) based on the input data (FM, KD1, KD2, KD3), and wherein the interaction and analysis module (120) is set up to perform error analysis and / or error correction based on the input data (FM, KD1, KD2, KD3) and the user interaction (NI).

The embodiment of the present application discloses a method, device, equipment and medium for determining the volume correction coefficient of a faulted anticline trap. The method comprises the following steps: determining the target parameter information of a to-be-measured faulted anticline trap on a standard cross section; the standard cross section is used to represent the plane where the bottom surface of the to-be-measured faulted anticline trap is located; determining the reference correction coefficient of the to-be-measured faulted anticline trap according to the target parameter information; the reference correction coefficient refers to the amplitude correction coefficient, the fault correction coefficient and the reservoir correction coefficient; and determining the volume correction coefficient of the to-be-measured faulted anticline trap according to the reference correction coefficient. According to the technical scheme, the volume correction coefficient of the faulted anticline trap approximating to the real underground situation can be quickly and accurately obtained based on the standard cross section of the faulted anticline trap, and the prediction speed and the prediction accuracy of the resource quantity of the faulted anticline trap can be improved.

A diagnostic system for a high power laser system, which detects and responds to malfunctions in interlocks of the laser safety system. A fault detected in any interlock circuit mandates a limitation in the operating conditions of the laser, or even a shutdown. In order to distinguish between transient faults, arising typically from ambient conditions, and more permanent faults, arising from faulty components or circuits, and which require external intervention to rectify, the system uses a database of possible fault classifications to determine the likely type of fault. If the fault is likely transient, the laser is maintained in a reduced power state, until one or more temporary interlocks are applied as backup for the failed interlocks, so that the system can be repeatedly tested for fault correction at full power output. Once the fault recovers, the backup interlocks may be disabled and the system returned to full operation.

This application relates to a data acquisition method, apparatus, computer equipment, and storage medium. The method includes: acquiring the topology, operating status, and standard fault parameters of a target power grid; determining reference electrical characteristics of the target power grid based on the topology, operating status, and standard fault parameters; acquiring historical fault data and corresponding historical operating status; obtaining historical fault correction data using the historical fault data and reference electrical characteristics; wherein the fault correction data is used to characterize the difference between the fault data and the reference electrical characteristics; training a target model based on the historical fault correction data and historical operating status; wherein the target model is used to determine the fault correction data based on the operating status, and to determine the electrical characteristics of the target power grid based on the fault correction data. This method can improve the efficiency and accuracy of acquiring power grid electrical characteristics.