15 results about "Fault avoidance" patented technology

The application discloses a vehicle fault processing method, a battery cooperative controller and a vehicle. The vehicle fault processing method is applied to the battery cooperative controller which is connected with a high-voltage battery and a low-voltage battery. The vehicle fault processing method comprises the following steps: obtaining fault diagnosis data of a plurality of function management units in the battery cooperative controller, wherein the plurality of function management units comprise a low-voltage battery management unit, a high-voltage battery management unit, a voltage conversion unit and a charging communication unit; performing fault cooperative decision on the fault diagnosis data to obtain a global fault processing scheme; and controlling the plurality of function management units to perform corresponding fault processing operations according to the global fault processing scheme. The application realizes fault information sharing and cooperative processing across subsystems, can avoid problems such as fault island and decision conflict, and improves the consistency and real-time performance of fault response.

The utility model relates to IGBT module technical field, specifically, it is the fault detection alarm circuit of IGBT module, including IGBT module, detection module, detection chip and alarm module, and detection module includes voltage acquisition unit, current acquisition unit and temperature acquisition unit, voltage acquisition unit is used for detecting the collector voltage value of IGBT module, and current acquisition unit is used for detecting the on current value of IGBT module, and temperature acquisition unit is used for detecting the working temperature of IGBT module, in the utility model, the collector voltage value, on current value and working temperature of IGBT module can be detected in real time, realize the comprehensive monitoring of module working condition, compared with the detection mode of only monitoring single parameter, can more timely, accurately discover the abnormal situation of module, provides the basis for taking measures in advance to avoid the expansion of fault.

This application discloses a server management system, method, electronic device, and storage medium, relating to the field of server management technology. The system includes: transmitting weights and server hardware information to a management information generation module; generating server management information based on the weights and server hardware information; generating hardware control information based on the server management information and adjusting the server hardware using the hardware control information; and a network control module, further used to generate alarm information based on the server management information and hardware control information. This system can solve the problems of difficulty in identifying hardware faults caused by complex factors and the inability to adjust server hardware in a timely manner for hardware faults. By introducing a dedicated neural network to create the management information generation module, the system enhances the BMC (Browser Control Center) function, enabling the identification of subtle fault characteristics and avoiding missed fault reports; it eliminates the need for manual analysis of data or faults, improving the efficiency of fault handling and saving manpower.

This invention provides an intelligent CNC hydraulic system and control method, including a sensing and monitoring unit comprising a multi-source heterogeneous sensor network deployed at key nodes throughout the system. The invention is rationally designed, using a multi-source heterogeneous sensor network deployed throughout the system to simultaneously collect multi-dimensional operating parameters such as pressure, flow rate, temperature, and vibration. Edge computing is used to complete data preprocessing and fault-sensitive feature extraction. Relying on an SVM-LSTM dual-model fusion fault intelligent diagnosis module and integrating a fault tree FTA analysis submodule, it achieves accurate classification of fault types, rapid location of fault points, and root cause tracing. It also provides early warning of early system faults, significantly improving fault diagnosis accuracy compared to traditional threshold alarm methods. Furthermore, it can identify fault types that traditional methods cannot detect, such as directional valve sticking, predicting fault development trends in advance and effectively preventing equipment damage caused by fault escalation.

The application provides a chip fault control method, a display driving circuit, a display panel and a medium, which are applied to the display driving circuit, the display driving circuit further comprises a plurality of other chips connected with a timing control chip, and the control method comprises the following steps: the timing control chip sends a fault detection signal to the plurality of other chips every interval of a preset frame number; if the fault detection pin level of at least one chip in the plurality of other chips is a preset level, the plurality of other chips are controlled to stop working. Since the timing control chip and each other chip are in real-time interaction through the fault detection signal and the fault recognition signal, the faulty chip can be located immediately. After the faulty chip is located, the timing control chip controls the plurality of other chips to stop working, so that the faulty chip, the other chips and peripheral devices can be prevented from being burned out, the detection efficiency of the faulty chip is improved, the repair rate of the driving board is improved, and the production cost of the driving board is reduced.

The application discloses a data access isolation method and system in a bare core running environment, wherein each module is compiled into an independent ELF file, a management program allocates a unique ID, a special memory area and a shared memory area for each module, and access permission is configured through an MMU to realize address space isolation between modules; periodic scheduling and cross-module calling are completed through TLB switching; when a module abnormally accesses beyond the range, the operation is blocked by the MMU hardware and an exception is triggered, the management program isolates the fault module, stops task scheduling and intercepts invalid calling to avoid fault diffusion. The application can realize safe isolation and normal interaction of multiple modules in a bare core environment, and improve system stability and reliability.

This invention belongs to the field of elevator safety technology and discloses an intelligent system for elevator fault early warning and handling with artificial intelligence. It constructs a seven-dimensional data system through a data acquisition and preprocessing module, and combines a blockchain consensus and federated transfer learning dual-drive architecture with a chain-connected learning module to extract multi-dimensional fault features and generate early warning models adapted to different operating conditions. The dynamic early warning module adopts a three-drive mechanism of reinforcement learning decision-making, multi-dimensional threshold dynamic evolution, and fault trend prediction, which can predict fault evolution trends, dynamically optimize early warning thresholds, improve early warning accuracy, and reduce false alarm and missed alarm rates. Through a hierarchical response mechanism, major risks can be directly linked to emergency measures to avoid safety accidents such as people entrapment and elevator falls caused by the escalation of faults. The visual positioning module is based on an optimized YOLOv8 architecture, integrating a small target enhanced detection unit and a low-light adaptive enhancement module, which can accurately identify minor faults such as broken wire ropes and slight guide rail misalignments.

The application provides a control method and device of a valve, an engine and a vehicle, and belongs to the technical field of vehicles. After it is monitored that the intake bypass valve is stuck, instead of immediately giving an alarm, the intake bypass valve is controlled to perform self-cleaning, oil stains and foreign matters attached in the intake bypass valve are cleaned through self-cleaning, and faults caused by occasional foreign matters, oil gas coking after compression, etc. are avoided. If self-cleaning fails, a fault code is reported, but an alarm prompt is not directly given according to the fault code, but the continuous period number of the stuck intake bypass valve is determined to avoid the contingency of fault judgment and improve the accuracy of fault judgment. Only when the continuous period number is greater than or equal to a preset safety number, it can be determined that the intake bypass valve has a fault, and an alarm prompt is given. The contingency of single judgment is avoided through continuous fault judgment, the alarm prompt is avoided when the intake bypass valve is intact, the use cost is saved, and the use experience is improved.

The application discloses an intelligent home camera and a quick adjustment and maintenance method thereof, relates to the technical field of camera maintenance, and inputs the state of key components into a fault diagnosis and grading model; when the fault diagnosis and grading model judges that the performance of any key component state detection reaches a set threshold or a fault, a maintenance suggestion action is triggered; a grading maintenance suggestion is pushed to a user through a mobile phone APP; the grading maintenance suggestion comprises problem description, confidence and predicted repair time; the application realizes the automation, intelligence and high efficiency of intelligent home camera maintenance, and effectively solves the defects of the existing maintenance mode. Through a dynamically adjusted self-checking period, different use frequency scenes can be adapted, the state of key components can be detected in time, potential faults can be found in advance, and the expansion of faults is avoided to affect use.

The application discloses a method, device and equipment for preventing distance protection misoperation and a storage medium. The method comprises the following steps: setting an overload identification criterion as a first criterion when overload blocking protection is started; judging whether a line fault trip occurs outside a to-be-protected line according to a preset discrimination rule; modifying the overload identification criterion as a second criterion when the line fault trip occurs; the stability of the first criterion is greater than the stability of the second criterion; performing overload identification according to the overload identification criterion and phase-to-phase residual voltage to obtain an overload identification result; and adjusting a distance protection III section according to the overload identification result. According to the embodiment of the application, whether a line fault trip occurs outside the to-be-protected line can be identified, different criteria are adaptively used to perform overload identification, and the distance protection III section is adjusted according to the identification result, so that the distance protection misoperation is avoided when a fault occurs outside the line, the fault scale is prevented from being increased, and the system stability is improved.

The present application relates to the technical field of motor drive, in particular to a kind of fault detection circuit and fault identification system of motor driver, receive the analog signal of front-stage circuit transmission, this fault detection circuit includes: logic unit, latching unit, action and detection unit, driving chip;Also disclose a kind of fault detection of motor driver's fault identification system, including MCU and multiple load as before the fault detection circuit of motor driver, each fault detection circuit is connected to MCU after receiving the analog of front-stage circuit, and the fault type is identified according to the feedback signal kind of each fault detection circuit output, in fault detection circuit, when fault occurs, the first level signal of logic unit is converted into second level signal, to control the output of latching unit is latched to the logic unit, to avoid the damage of each element in circuit by fault.

This invention relates to the field of ring main unit (RMU) testing technology, specifically to a live-line testing system and control method for RMUs integrating infrared sensing and PHM (Prognostics and Health Management) diagnostics. It includes: a RMU topology modeling unit; a multi-source synchronous acquisition unit; a dynamic attention PHM diagnostic unit with a built-in dynamic attention mechanism adapted to the RMU's power operation scenarios; and a fault location output unit. This invention integrates a Fourier steady-state heat conduction model into the dynamic attention mechanism, quantifying the heat conduction attenuation coefficient between nodes. This effectively distinguishes between temperature changes caused by internal heat conduction effects within the RMU and abnormal temperature rises caused by the fault source itself, avoiding misdiagnosis. Simultaneously, it dynamically adjusts the weight allocation of infrared temperature features and electrical features based on the real-time operating conditions of the RMU, adapting to the fault feature analysis needs under different operating scenarios such as high load and low load, thus improving the accuracy and scenario adaptability of fault diagnosis in live-line testing scenarios of distribution network RMUs.

The application relates to a small-current grounding system fault detection method and device. The method comprises the following steps: acquiring an electric signal of a small-current grounding system, and performing feature extraction on the electric signal to obtain an effective signal containing transient characteristics; respectively adopting a transient zero sequence current direction method and a phase asymmetry method to perform single-phase grounding fault detection on the effective signal to obtain a first detection result; simultaneously, according to the line load current state, performing a broken line fault detection in different scenes to obtain a second detection result; finally, comprehensively determining a final fault detection result by combining the first detection result and the second detection result, so as to realize parallel detection and comprehensive discrimination of single-phase grounding faults and broken line faults. By adopting the method, single-phase grounding faults, broken line faults and complex faults coexisting with grounding and disconnection can be effectively identified, the identification ability of weak faults and composite faults is strengthened, and fault omission and misjudgment are avoided.

The application discloses a charging pile monitoring method based on real-time temperature and historical fault data, relates to the technical field of charging pile monitoring, and comprises the following steps: collecting real-time data, and performing data cleaning and integration; extracting temperature change trends and fluctuation characteristics for representing fault modes; performing dynamic similarity matching on the current temperature change mode and the historical fault mode, and calculating a comprehensive fault risk index according to the chain propagation relationship among fault types; adaptively limiting the output power of the charging pile, and automatically triggering port electrical testing to assist in diagnosis when necessary; and generating a report and pushing the report to operation and maintenance personnel and users. Through matching of the real-time collected multi-point temperature data and the historical temperature change characteristics before faults, and combined with the propagation relationship among fault types for comprehensive risk assessment, the application can identify potential fault types in the initial stage of temperature abnormalities of the charging pile, and dynamically adjusts the charging power to avoid faults.

The application discloses a power conversion device and a fault detection method thereof. The power conversion device comprises a power conversion unit, a filter capacitor and a voltage sampling module. The filter capacitor is used for filtering the voltage of the power conversion unit, and the voltage sampling module is used for sampling the voltage of the filter capacitor. The power conversion device further comprises a controller configured to acquire the voltage of the filter capacitor and determine whether the power conversion unit is abnormal based on the voltage of the filter capacitor and a preset threshold. The application multiplexes the voltage sampling at the filter capacitor without adding any hardware circuit, realizes the fault detection of the power conversion unit, and effectively avoids the further expansion of the fault. Compared with the prior art, the application has lower cost, higher reliability, simpler detection logic and is easier to implement.