17 results about "Signal-flow graph" patented technology

The invention discloses an on-chip calibration device parasitic parameter determination and traceability method based on an inversion algorithm, and the method comprises the steps: determining eight error terms through TRL calibration which employs three calibration standard components: a straight-through calibration standard component, a reflection calibration standard component and a transmission line calibration standard component; the method comprises the following steps of: acquiring a relation between error terms in TRL calibration and SOLT calibration according to a signal flow graph, acquiring an expression for extracting a true value of a reflection coefficient of a calibration sheet through inversion according to a 12-item error correction model algorithm, substituting scattering parameters acquired by testing into an error term analytical solution of TRL calibration, solving a TRL calibration error term, and calculating the true value of the reflection coefficient of the calibration sheet according to the error term analytical solution of the TRL calibration. The reflection coefficient truth values of the open circuit and short circuit of the calibration piece and the load piece are extracted; according to the method, the extraction process of the parasitic parameters of the calibration piece is simplified, error sources introduced in the extraction process of the parasitic parameters of the calibration piece are reduced, and the extracted parasitic parameters of the calibration piece have a good effect.

The application discloses a kind of based on the automatic construction method of fault tree of multi-signal flow graph.The fault tree automatic construction method is aimed at solving the problems such as low construction efficiency, many logic blind areas, dynamic optimization difficulty in complex system in existing method.The fault tree automatic construction method is divided into three steps: multi-signal flow graph entity extraction based on ontology constraint, entity structure regularization based on flow graph connectivity and fault tree data automatic layout based on depth-first.The fault tree automatic construction method uses the node and attribute information in multi-signal flow graph, establishes dynamic corresponding relationship with fault tree node, realizes accurate mapping from entity to fault tree node;By skipping irrelevant node, completing associated relationship and automatically inserting "or" node, the integrity of fault tree logical link is ensured;By depth-first branch statistics and breadth-first automatic layout, global information is obtained and top-down layered layout and inter-node connection are realized, and finally the automatic drawing of fault tree is completed.This method supports complex system fault analysis requirements across components, across levels, significantly improves the efficiency and accuracy of fault tree construction, and provides a new technical means for modern reliability management.

The invention provides a microwave photon module performance management method based on a knowledge graph. The method comprises the following steps: establishing a performance index knowledge graph of groups / devices forming a microwave photon module; establishing a knowledge graph of the microwave photon module signal flow graph; establishing a performance index mathematical simulation model of the microwave photon module; when the performance index of any group / device is changed, calling the performance index mathematical simulation model to respectively calculate model outputs before and after the change of the performance index, and if the model output corresponding to the changed performance index is not inferior to the model output corresponding to the performance index before the change; and if not, updating the performance index knowledge graph of the corresponding group / device and updating the knowledge graph of the signal flow graph. According to the method, the consulting efficiency of the signal flow and performance index range of the microwave photon module and the performance index range of the internal group / device is effectively improved, the evaluation difficulty of the change influence range and degree in the full life cycle of the performance index range of the module and the internal group / device is reduced, and the evaluation accuracy and efficiency are improved.

This invention discloses an automated FMECA construction method based on multi-signal flow graphs. The method constructs an ontology knowledge structure based on multi-signal flow graphs to automate the generation of FMECA analysis tables from complex signal flow graphs. The method comprises three main steps: basic fault mode screening based on propagation relationships, structured knowledge extraction from multi-signal flow graphs based on ontology constraints, and automatic FMECA generation based on structured knowledge. The method analyzes the signal interaction relationships of multi-signal flow graphs using fault propagation logic, filters valid fault modes, and generates standardized FMECA entries by combining structured ontology knowledge, thereby achieving efficient automated construction of FMECA files in complex systems. This method can dynamically update FMECA files and supports collaborative improvement throughout the entire lifecycle, significantly improving construction efficiency and accuracy.

The present disclosure relates to a method for use with an electronic design. Embodiments may include receiving, using a processor, an electronic design and applying one or more predefined rules to the electronic design. Embodiments may further include automatically generating a connectivity aware system signal flow diagram and causing a display of the connectivity aware system signal flow diagram at a graphical user interface.

This invention discloses a method for identifying the admittance of a three-phase grid-connected inverter based on a complex-valued neural network, relating to the field of power electronics technology. The method includes: constructing a small-signal flow graph of the three-phase grid-connected inverter in a synchronous coordinate system; constructing a port admittance matrix at the steady-state operating point; determining the corresponding characteristic polynomial and factoring it to obtain a unified pole set; constructing the pole-residual expansion of the port admittance matrix based on the unified pole set; determining the transfer function of each element in the port admittance matrix; constructing a complex-valued neural network and its loss function; training the complex-valued neural network using the loss function; and inputting the operating condition information and frequency point of the grid connection point into the complex-valued neural network to obtain the port admittance under the current operating condition. This method has the technical advantages of low computational complexity, high identification efficiency, support for rapid identification under multiple operating conditions, and high physical interpretability of the fitting results.

This invention discloses a general health management platform for typical equipment based on a multi-model environment. As a fully digital platform, it adopts a B / S architecture and consists of a multi-signal flow graph and the AMEsim multi-model environment, a model database, and functional modules for fault injection, fault diagnosis, fault discovery, and status assessment. The two model environments provide typical equipment with different modeling paradigms. The model database stores comprehensive test information and provides data interaction interfaces. The functional modules provide multiple types of health management function nodes. This invention is the core of the health management platform software, achieving the integration of two model environments, the standardization of model paradigms, and the unification of data interfaces. It provides multiple types of health management services, fully utilizes model test information, and is applicable to health management tasks for various types of typical equipment. Furthermore, the platform has advantages such as strong portability and multi-user parallel operation, and can meet a wide range of health management needs.

The invention discloses a digital twinning-based complex product testability scheme heuristic generation method, which comprises the following steps: constructing a digital twinning model of a complex product sensing system, the digital twinning model integrating component fault data and a multi-level signal flow graph; analyzing a fault propagation path based on the multi-level signal flow graph, and determining a candidate test point set; and using an improved genetic algorithm to optimize the candidate test point set according to the component fault data and the fault propagation path, and generating an optimal testability scheme. According to the method, in the testability scheme generation process, the digital twin technology and the heuristic algorithm are combined, and collaborative improvement of the test efficiency, the fault coverage degree and the resource utilization rate is achieved.

The application discloses a power distribution network high-resistance fault positioning method and positioning system based on multi-stage joint filtering, which comprises collecting power data of a power distribution network in real time, including a zero sequence voltage signal and a zero sequence current signal; using a multi-stage joint filtering technology, a signal flow graph strategy is constructed to process the power data, and output data is generated; signal disturbance is removed while fault feature extraction is completed; a dynamic threshold is established, and comparison and analysis are carried out based on the output data and the dynamic threshold to determine the fault occurrence time; based on the fault occurrence time, a trial method and characteristic polarity accumulation are used to generate a fault measure; based on the amplitude and polarity of the fault measure two-dimensional characteristics, and according to the distribution characteristics of the fault measure of each measuring point relative to the fault point, a recursive positioning algorithm with an adaptive threshold is used to position the fault section, the fault feeder is quickly positioned, and the adaptive threshold is used for recursive positioning to eliminate abnormal values caused by interference, so that accurate positioning under complex working conditions is realized.

The application discloses a kind of based on FPGA cloud platform's hardware simulation verification process implementation method, client obtains the source code file of user design, compiles integrated source code file, generates instance tree and resource occupation situation;Global instance is specified, and the instance of user design is split into small instance module;According to the instance module of splitting, the signal flow graph between different modules is generated;User is divided into different FPGA under the operation of client by following certain principle and split instance module;The attribute of signal between different FPGA is specified by client, and connection port is configured, and probe is inserted;FPGA sub-project top file is generated, and sub-project bit stream is generated by compiling, and after encryption, it is sent to cloud platform server;Trigger condition is configured in client, and cloud platform deploys running simulation program, debugs and looks waveform data and sends to client display.Satisfy the verification demand of large-scale chip design hardware simulation, and protect the intellectual property right of user.

The application discloses a kind of complex system FMECA-oriented multi-signal flow chart automatic construction technology.The FMECA-oriented multi-signal flow chart automatic construction technology is automatically constructed into multi-signal flow chart for FMECA file with non-standard and different expression, provides system intuitive fault propagation logic for maintenance troubleshooting personnel, improves fault diagnosis efficiency.The FMECA-oriented multi-signal flow chart automatic construction technology constrains the input of FMECA file by standardizing table header and designing ontology, and is divided into three steps: firstly, the fault event entity is analyzed by dictionary word segmentation and the TF-IDF value of each word segmentation is calculated to obtain the vector expression of the fault event entity;then, the fault event entity vectors are analyzed by the cosine of the weighted similarity of dynamic time warping, and the fault event entity pairs greater than a certain threshold are merged;finally, the corresponding nodes and their relationships of the multi-signal flow chart are obtained according to the standardized and simplified FMECA file under the constraint of ontology, and a complete multi-signal flow chart is constructed.

The invention discloses a method for automatically generating a T2 test case of a safety level instrument control system. The method comprises the following steps: judging whether a T2 test needs to be carried out on a nuclear power station site or not; if not, deleting the site or the graph page of the nuclear power station; if yes, screening out preconditions required for starting the test from the nuclear power station sites needing to be tested; variables required by the test are screened out; constructing a signal flow from an input variable to an output variable according to the data flow diagram, and taking all algorithm blocks encountered in the middle corresponding to the signal flow as segmentation nodes; judging whether the algorithm on the segment node needs logic verification or not; if not, deleting the segment node; if yes, logic verification is carried out, and T2 test cases are generated according to the segment nodes. According to the method, instrument control function diagrams of all sites are traversed, corresponding signal flow diagrams are sorted out, T2 test cases of importable versions are automatically generated, manual signal screening omission and logic time sequence verification careless mistakes are remarkably reduced, the design waiting link is reduced, and the design time is effectively shortened.

The present application belongs to the field of signal flow graph visualization technology for nuclear power plants, and aims to solve problems such as difficulty in looking up drawings, multiple drawing jumps, and difficulty in system analysis and troubleshooting diagnosis. The present application discloses a method and system for visualizing signal flow graphs for nuclear power plants. The method selects a corresponding parsing method to parse the file, recognizes text through OCR technology, recognizes different devices through K-means clustering, and recognizes details in the device through fuzzy matching. The system includes an access layer, an infrastructure layer, a data storage layer, a business layer, a gateway layer, and an application layer. The business layer is used to manage and parse configuration files, label, list and display signals, access time series data, trace signals, and analyze safety and non-safety level configuration logic. The present application integrates different drawings into one by completing document recognition, making it convenient for operation and maintenance personnel to integrate DCS configuration data and logical relationships. It can be used for accident investigation, configuration changes, and training.

The invention discloses a physical object modeling method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining a to-be-modeled physical object in response to a modeling request submitted by a user; determining the working principle of the physical object; based on the working principle, a bonding graph is generated for the physical object; generating a signal flow graph of the physical object based on the bonding graph; and constructing a simulation model of the physical object by using the bonding graph and the signal flow graph. Therefore, by determining the working principle of the physical object, a unified physical rule support can be provided for subsequent modeling, it is ensured that the model conforms to objective physical essence, and the modeling accuracy is improved without guarantee. In this way, the bonding graph and the signal flow graph are generated subsequently based on the working principle, and then the simulation model of the physical object is generated, manual building by a user is not needed, the operation complexity of the user is reduced, and the simulation modeling efficiency is improved.

The application provides a signal flow chart single disc positioning method, device, equipment and readable storage medium, the method comprises the following steps: generating a single disc list set according to a plurality of service routes; determining the column number of each single disc; if there is no repetition in each single disc list, the column number of each single disc is greater than or equal to the maximum value of the sequence number of the single disc in each single disc list; if any two single discs appear in the same single disc list, the size relationship of the column numbers of the two single discs is consistent with the size relationship of the sequence numbers of the two single discs in the single disc list; determining the row number of each single disc; the row number of each single disc is in the row number range corresponding to one single disc list containing the single disc; the row number ranges corresponding to different single disc lists do not overlap; according to the column number and the row number of all single discs, the relative coordinates of different single discs in the signal flow chart are determined. Through the application, the service signal flow can be correctly and clearly displayed.

The invention discloses a fault diagnosis method based on fusion of a multi-signal flow graph and a gradient boosting tree, and belongs to the technical field of complex system intelligent operation and maintenance. The method comprises four stages: a first stage, performing anomaly detection on system operation parameters through a period template, and generating parameter anomaly vectors and anomaly time periods; in the second stage, a system multi-signal flow graph is constructed according to an FMECA table, and fault group and suspicious group diagnosis is carried out on abnormal parameters in combination with an improved PTEAMS-RT method to obtain a fuzzy group; in the third stage, feature extraction and screening are carried out on the parameters, a gradient boosting tree classifier is input, and the prediction probability of each fault type is output; and a fourth stage, fusing, normalizing and sorting the fuzzy group and the probability output by the gradient boosting tree to obtain a final fault judgment result. According to the method, by fusing the advantages of causal reasoning and data-driven classification, high-precision, high-robustness and interpretable fault diagnosis is realized, and the method is suitable for fault detection and positioning of spacecrafts, aircrafts, ships and other complex electromechanical systems.

The invention provides a signal flow graph single-disk positioning method and device, equipment and a readable storage medium. The method comprises the steps of generating a single-disk list set according to multiple service routes; determining the column number of each single disk; if the single disks in each single disk list are not repeated, determining that the column number of each single disk is greater than or equal to the maximum value of the serial number of the single disk in each single disk list; if any two single disks appear in the same single disk list, the size relation of the column numbers of the two single disks is consistent with the size relation of the serial numbers of the two single disks in the single disk list; determining the line number of each single disk, wherein the line number of each single disk is within the line number range corresponding to one single disk list containing the single disk; the line number ranges corresponding to different single-disk lists are not overlapped; and determining relative coordinates of different single disks in the signal flow diagram according to the column numbers and the row numbers of all the single disks. According to the application, the service signal flow can be ensured to be correctly and clearly displayed.