119 results about "Fault free" patented technology

The invention discloses a welding seam monitoring system based on an electric welding machine, and relates to the technical field of electric welding, an initial setting module is used for setting a normal fluctuation threshold range of each working parameter by collecting working information of the electric welding machine in a fault-free state, and the working information at least comprises welding current, voltage and welding speed; when it is determined that one or more pieces of working parameter information collected in real time exceed the preset normal fluctuation threshold range, whether short-term fluctuation or fault fluctuation exists is judged by judging the change of the parameters, and therefore parameter adjustment caused by misjudgment of the electric welding machine in the short-term fluctuation process can be prevented; and the quality defect of the welding seam is caused.

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 discloses an industrial fault detection method based on structured augmented dictionary learning, and the method comprises the steps: firstly processing a fault-free component through a basic dictionary, and introducing an additional low-dimensional sparse dictionary for precisely reconstructing a fault related part, thereby avoiding the decentralization of fault information. Secondly, in order to ensure that a fault-free part is in a statistical control state, a steady-state statistical characteristic and a manifold structure constraint are embedded into a basic dictionary coefficient, and meanwhile, a fault-related characteristic variable is accurately selected through a hard sparse constraint, so that a fault-free signal in an industrial process is effectively prevented from being interfered; therefore, accurate separation of the fault and the normal component of the signal is realized in sparse decoding, so that the fault mode is accurately revealed; in addition, an aggregation method based on a moving window is adopted, the sensitivity and detection efficiency of initial faults in the industrial process are remarkably improved, and an efficient and reliable fault diagnosis solution is provided for industrial application.

The invention discloses a gain balance fault-tolerant control method for a redundant drive multi-degree-of-freedom motion platform, and the method comprises the steps: designing a corresponding output decoupling matrix # imgabs0 # for the condition that any actuator of the redundant drive multi-degree-of-freedom motion platform is completely invalid, and enabling the output decoupling matrix # imgabs0 # to be switched through a gain balance module when the actuator is invalid; and a logic axis control signal ucor after a single actuator is completely invalid is redistributed to the rest actuators to generate uact which is the same as uact before a fault, so that the motion platform system P can still track a reference position signal r, and the reliability and fault tolerance of the redundant drive multi-degree-of-freedom motion platform system are remarkably improved. According to the method, a good motion control effect is achieved under the condition that the actuators are free of faults, high tracking precision is achieved, a good fault-tolerant control effect can be achieved under the condition that the single actuator of the redundant drive multi-degree-of-freedom motion platform is completely invalid, and closed-loop stability and tracking precision of a motion platform system can be guaranteed.

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 provides a fault isolation and restart method and system for a multi-terminal flexible DC power transmission system, and relates to the technical field of flexible DC power transmission. The fault isolation and restart method comprises the steps of determining a station grounding current first effective value of each converter in the multi-terminal direct current power transmission system under the condition that a single-phase grounding fault exists on a valve side or a bridge arm side of the multi-terminal direct current power transmission system; according to the first effective value of the station grounding current and the second effective value of the station grounding current of each current converter, determining a faulty current converter; the current converter with the fault is isolated; and unlocking a fault-free converter in the multi-terminal direct current power transmission system, and increasing the power of the fault-free converter to a set value. According to the method and the system, the problem of simultaneous locking of the whole multi-end flexible direct current power transmission system caused by single-phase grounding fault of a single converter valve side or a bridge arm side of the multi-end flexible direct current power transmission system can be solved, and the operation reliability of the multi-end flexible direct current power transmission system is improved.

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 discloses a heating ventilation air-conditioning system fault detection and diagnosis method based on depth double-layer self-coding, and relates to the technical field of heating ventilation air-conditioning system fault monitoring. According to the method, the deep auto-encoder is used for carrying out data dimension reduction, learning the rule of fault-free data, designing a DAE-C fault detection model, diagnosing the fault state of the monitoring data, and then designing a DAE-BIGRU fault diagnosis model to determine the fault type, so that the acquisition of the fault data and a label thereof is not needed, and the fault detection efficiency is improved. And calculation loss caused by analysis of a large amount of fault-free data in the fault diagnosis process is reduced, and the problem that label data of the HVAC system is lacked is solved, so that faults of the HVAC system can be detected and diagnosed even under the condition that no clear fault label exists.

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 distributed fault diagnosis method and device for a large-scale industrial closed-loop control process, and the method comprises the steps: obtaining historical fault-free data in the large-scale industrial closed-loop process, and dividing the historical fault-free data based on a preset division rule, so as to obtain a plurality of variable blocks; performing variable type division on the plurality of variable blocks based on the action mechanism corresponding to each variable block to obtain a classification result of the variable blocks, and constructing a corresponding distributed variable topological structure based on the classification result; constructing a corresponding dynamic hidden variable model in combination with a distributed variable topological structure and a correlation structure existing in large closed-loop process data; and constructing a corresponding distributed fault diagnosis model based on the dynamic hidden variable model, and outputting a fault diagnosis result of the to-be-detected large system by using the distributed fault diagnosis model. Therefore, the technical problems that in the related technology, the constraint of closed-loop control is not considered, the local state of the system is difficult to effectively analyze, and the distributed dynamic characteristics in the data of the large industrial system are ignored, so that accurate fault diagnosis and fault positioning results are difficult to obtain are solved.

A method and device for grouping packages into specified package groups in an interference-free and fault-free manner with a conveyor having multiple individually actuatable conveyors arranged one behind the other with an inlet-side and a discharge-side end. The packages are supplied to the conveyor device at the inlet-side end one after the other, and a control algorithm is carried out to interpolate and / or detect the position and / or the speed of each individual package. A target speed is determined for each individual package based on the detected and / or interpolated position and / or speed of the package. A target speed is determined for the individual conveyors to achieve the target speed for each package to set a specified distance to the leading and / or following package at the discharge-side end. The speed of the individual conveyors is controlled to the respective determined target speed for the conveyor.

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.

A fault detection device (100) is provided with: a first actuator (10) and a second actuator (20) each driven by electric energy, the second actuator (20) comprising a brush DC motor; a current detection circuit (50) including a first current detection circuit (51) provided to detect a current flowing through the first actuator (10) and a second current detection circuit (52) provided to detect a current generated by arc discharge of the second actuator (20); and a failure determination unit (47) that determines whether there is a failure in each of the first actuator (10) and the second actuator (20) on the basis of the current detected by the current detection circuit (50). The current detection circuit (50) has a current detector (46) that is provided in a common section (53) of the first current detection circuit (51) and the second current detection circuit (52) and that detects a current flowing through the common section (53).

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 discloses a quality evaluation method, device and equipment of an engineering vehicle and a medium. The method comprises the following steps: according to fault information uploaded by an engineering vehicle and fault grade coefficients preset for various types of faults, calculating daily average fault-free working hours in a target time period; determining the stability of the fault-free working hours in the target time period according to the daily average fault-free working hours in the target time period; and determining a quality evaluation result of the engineering vehicle according to the daily average fault-free working hours in the target time period and the stability of the fault-free working hours. By adopting the technical scheme, the calculated average fault-free working hours can accurately reflect the actual fault condition of the vehicle, so that the problem of inaccurate vehicle quality evaluation in the prior art can be solved, and the working safety of the engineering vehicle is effectively ensured.

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 provides a traction system fault detection method based on PPDM and expert prompt learning. The method comprises the following steps: S1) obtaining a fault-free data set UN and a noisy fault data set UF from a simulation platform; s2) building a PPDM-based reconstruction model, wherein the model comprises a PDM and an ICM; s3) establishing a domain generalization target network # imgabs0 #, and performing clustering to obtain Pmeta; s4) inputting UN into PDM, obtaining Pi based on Pmeta by # imgabs1 #, reconstructing extracted features and Pi into Uf1, inputting Uf1 into ICM, and calculating to obtain Jth; s5) taking Pi as' K 'and' V ', and taking the UF feature as' Q '; s6) inputting the UF into the PDM and the cross attention network to generate Pm, extracting features and reconstructing the features and the Pm into Uf2, inputting the Uf2 into the ICM, calculating to obtain j, comparing j with Jth, if jgt; if Jth, a fault exists, if jlt; and Jth, no fault exists.

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 invention provides a fault detection method, device and system, when a source computing node detects that a message transmission link corresponding to any physical layer port is abnormal, the source computing node sends fault information containing link abnormal port information to a machine top switch, and the machine top switch responds to the fault information and sends a link diagnosis instruction to the source computing node. When it is determined that a first link between the source computing node and the target switch has no fault, the machine top switch continues to determine a second link from the target switch to the target computing node step by step from the first link based on a preset inter-node pin connection relationship and a mapping relationship of switching ports in the nodes, and the link diagnosis instruction for the second pin is sent to the target computing node, so that the cable link fault between the second pin and the target switch is determined, the cable link with the fault is automatically positioned, the fault positioning in a mode of completely dismounting each cable link and then detecting each cable link one by one is not needed, and the fault positioning efficiency is improved. And the fault detection efficiency is effectively improved.

The embodiment of the invention relates to the technical field of machining, in particular to a machining fault detection method and device, and the method comprises the steps: obtaining a target signal of a machine tool under a target working condition; through a preset sliding window, the target signal is sampled multiple times, multiple detection signals are determined, and the total length of the multiple detection signals is larger than the length of the target signal; the characteristic value of each detection signal is compared with a preset threshold value boundary to determine whether a machine tool machining fault exists or not, and the threshold value boundary is determined according to a fault-free signal of the machine tool under the target working condition. Based on the method, after the target signal needing to be detected is determined, multiple times of sampling are carried out through the sliding window, so that a plurality of detection signals used for characteristic value comparison are extracted from limited data duration, and the effect of utilizing the data duration to the maximum extent is achieved; the influence on the detection result due to insufficient effective data in the prior art is effectively avoided.

The present invention discloses a method and system for multi-fault location of distribution network cable lines, belonging to the field of distribution network cable fault location; the method includes: S1 calculating a global differential scattering matrix; S2 calculating a differential time reversal operator, performing eigenvector decomposition on the differential time reversal operator, and selecting the eigenvector x with the largest eigenvalue; S3 reconstructing the time-domain inversion waveform by using the eigenvector x and the Fourier spectrum of the pulse waveform; S4 simulating to obtain the time-domain response voltage waveforms at each detection point; S5 calculating the energy values at each location of the line, drawing an energy map, and finding the strongest fault point fx; S6 adding a fault at the fault point fx in the fault-free simulation model, and measuring its differential scattering matrix #imgabs0#S7 calculating the differential scattering matrix coefficient α i and the differential scattering matrix S corresponding to the real fault i ; S8 updating the global differential scattering matrix; S9 repeating S2-S8 until no new fault locations can be located in the updated global differential scattering matrix.

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.