44results about How to "Realize Reliability Assessment" patented technology

The invention discloses a method for evaluating the reliability of a stepping stress quickened degradation experiment based on a time sequence. The method utilizes a correlation coefficient stationary sequence analytical method to describe non-equidistant stochastic information in stepping stress quickened degradation experiment data, establishes a regressive-non-equidistant autoregression degradation model on the basis of obtaining the respective advantages of a deterministic regression model and a stochastic correlation coefficient stationary sequence autoregression model, combines a grey theory to predict a product degradation trend and forms a function and a curve for predicting the life and evaluating the reliability of the stepping stress quickened degradation experiment based on the time sequence. The method obviously decreases the sample quantity of a product and shortens the time of the degradation experiment, thereby saving a large amount of expenses and resources, enhancing the fitting accuracy of the degradation model and enhancing the reliability of a reliability evaluating result.

The invention provides a reliability analyzing method for DAML-S (Darpa Agent Markup Language for Services) composite services, belonging to the crossing technical field facing service computing architecture and software reliability. The method comprises the following steps of firstly adopting Service Model and Service Grounding descriptions of a random Petri net to DAML-S to perform abstraction and modeling, obtaining an NMSPN (Non-Markovian Stochastic Petri Net) flow model marked by time and probability, and then extracting a dependency relationship between the system reliability and various activity input parameters based on the NMSPN flow model, and solving the flow normal ending probability, so as to realize the reliability analysis to the DAML-S composite services. The method provided by the invention can be used for filling the blank of the reliability analysis of semantic network service composition based on DAML-S, and providing model support and analysis means for the credibility research of semantic WEB service.

The invention belongs to the field of wind machine reliability assessment and discloses a wind machine state reliability assessment method and repair decision optimization. The method comprises the following steps of (a) collecting performance indexes of a to-be-assessed wind machine at different moments, and deleting abnormal data to obtain to-be-analyzed data of a degradation stage; (b) dividinga healthy state of the to-be-assessed wind machine into four levels of normal, abnormality, degradation and fault, and selecting a Markov model as an assessment model for the reliability of the to-be-assessed wind machine; (c) performing dimensionless processing on degradation data of the wind machine, and improving a state transition probability matrix in the Markov model by adopting a dimensionless performance degradation function; and (d) determining a state probability distribution vector at an initial moment, and calculating a state probability vector and reliability at each moment, thereby realizing the assessment of the state reliability of the to-be-assessed wind machine. The method reduces the cost and is economic and efficient; and a reliability assessment result is accurate.

The invention relates to a method for reliability evaluation of full voltage classes. The method for reliability evaluation of full voltage classes comprises the steps that a power grid topology is analyzed, a power grid is divided into a power generation system, a power transmission system, a transformer substation main connecting wire and a power distribution system, reliability evaluation is conducted on the power generation system and the power transmission system when the power generation system and the power transmission system are in full load condition, the node reliability indexes of the power generation system and the power transmission system are taken as equivalent source parameters of the power distribution system, a transformer substation main connecting wire equivalent model is established and added to the power distribution system, the reliability index of the power distribution system is determined according to the minimum cutest method, and the reliability index of the full voltage classes is determined finally. By the adoption of the method for reliability evaluation of full voltage classes, reliability evaluation of the full voltage classes can be achieved, and the level of reliability evaluation of a power system is increased.

The invention provides a thermal power generating unit short period reliability assessment method and device based on the fault early warning technology, thus evaluating the thermal power generating unit reliability on the basis of equipment early stage fault early warning, and providing the maximum processing curve in a future period.

The invention discloses a multi-voltage-grade electric network reliability evaluation method based on a transmission node capacity model. The method comprises the following steps: confirming a boundary transmission node of an electric network with different voltage grades; confirming a capacity model of the electric network and the boundary transmission node, namely a maximum load capacity model of the electric network and the boundary transmission node or probability and frequency distribution characteristics of the maximum load capacity of the electric network and the boundary transmission node; combining the maximum load capacity model of the electric network and the boundary transmission node with a corresponding load model of the electric network and the boundary transmission node, and realizing reliability evaluation of the electric network and the boundary transmission node; calculating a capacity model of a superior power transmission network and a boundary transmission node of the superior power transmission network in reliability analysis of a power distribution network, and realizing reliability analysis calculation of the multi-voltage-grade electric network. The method not only realizes reliability analysis calculation of a multi-voltage-grade system but also can intuitively reflect effective (available) transmission capacity (load capacity) and related characteristics of the corresponding electric network (system), and improves the level of a power system reliability analysis technology.

The invention discloses an accelerated test method of an LED (light-emitting diode) lighting lamp based on subsystem decomposition. The method comprises the steps that: firstly, an LED lamp system is decomposed into a plurality of functionally independent subsystems; next, under precondition that the whole system is maintained to be able to work in a closed state, a target subsystem is placed in an accelerated test environment and is subjected to accelerated reliability test; by utilizing data measurement result obtained in the accelerated test progress, a reliability function of the target subsystem is obtained through extrapolation; and finally, the relevance in performance change of each subsystem and performance change of the whole lamp system is combined, the reliability function of each subsystem is synthesized through application of a system reliability statistical analysis method, then, the reliability function of the whole LED lamp system is obtained through derivation, and reliability evaluation of the whole lamp system is realized. According to the method disclosed by the invention, the complexity, even the infeasibility of an accelerated reliability test directly aiming at the whole lamp system can be avoided; the method not only can be applied to evaluation of accelerated reliability test of the LED lighting lamp, but also can be used as reference for evaluation of the accelerated test of other complicated systems.

The invention relates to a method for assessing reliability of an aircraft landing gear control system under small samples and poor information. The method comprises the steps of establishing an aircraft landing gear control system failure tree according to the system principles and the failure mechanism, converting the form of a failure probability interval of each bottom event of the aircraft landing gear control system failure tree into the pangrey number expression form based on the interval and pangrey conversion rules, establishing aircraft landing gear buffer system failure transfer functions from the bottom events to top events according to the logic relation among layers of the failure tree, and calculating the aircraft landing gear buffer system failure transfer functions through pangrey four operation rules, so that the top event failure probability pangrey form is obtained; converting the top event failure probability pangrey form into the interval form based on the interval and pangrey conversion rules, so that an aircraft landing gear buffer system failure probability range based on the pangrey algorithm is obtained; according to the aircraft landing gear buffer system failure probability range, conducting reliability assessment on failure.

The invention discloses a part and system test based reliability evaluation method for an automobile automatic gearbox, and belongs to the technical field of automobile automatic gearbox research. The method comprises: performing part reliability evaluation according to test data of parts such as a hydraulic torque converter, an electro-hydraulic operation apparatus, a gear speed change mechanism, a gear shifting clutch and the like in the automobile automatic gearbox, and obtaining reliability prior information of a system according to a serial model; performing reliability evaluation according to system-level test data to obtain reliability field information of the system; and further, performing Bayesian data fusion on the prior information and the field information to realize part and system test based reliability comprehensive evaluation of the automobile automatic gearbox. According to the method, the reliability evaluation of the automobile automatic gearbox can be performed by utilizing test information of the parts and the system, and the characteristics of reliability problems of mechanical parts can be reflected, so that an evaluation result is relatively high in credibility and the information utilization rate is high.

The invention discloses a data processing method and device, a storage medium and an electronic device, which relate to the computer technical field. The data processing method comprises the followingsteps: obtaining a comprehensive confidence level of the same field in each data source according to the confidence level of the data source of each target object and the confidence level of the samefield in each data source; according to the comprehensive confidence level of the same field in each data source and the similarity of the same field between each data source, obtaining the fusion confidence level of the same field in each data source. The invention can obtain the fusion confidence degree of the fields in different data sources through the comprehensive confidence degree of the fields in the multiple data sources and the similarity degree of the fields between the different data sources, thereby realizing the reliability evaluation of the same field in the different data sources.

The invention discloses a power system reliability evaluation method, device and system considering an LR attack. The method comprises the following steps: initializing parameters; calculating the utilization rate of the power transmission line, and identifying a fragile line in the system; obtaining a load reduction model considering LR attack and fragile line defense, wherein the fragile line power flow constraint in the load reduction model is related to the identified fragile line; calculating the success probability of the LR attack based on a preset random process model of the LR attack; and based on the load reduction model and the LR attack success probability, evaluating the reliability of the power system considering the LR attack by using a non-sequential Monte Carlo method. According to the method, power system reliability evaluation considering LR attacks and defensive measures thereof is realized.

The invention relates to a full-voltage grade reliability valuation method in an electric system. According to the method, power grid topology is analyzed, a power grid is divided into an electric generation system, a power transmission system and a transformer substation main wiring and power distribution system, reliability evaluation is carried out on the electric generation system and the power transmission system under the full load condition, a specific topological structure of the power distribution system is taken into consideration to search for a common-mode related device of a separation device, a common mode failure table of the separation device is formed, reliability indexes of the common-mode related device of the separation device are evaluated, reliability indexes of nodes of the electric generation system and the power transmission system are used as equivalent source parameters of the power distribution system, the reliability indexes of the common-mode related device of the separation device in the step 3 are taken into consideration to determine the reliability indexes of the power distribution system, and finally the reliability indexes of full-voltage grade are determined. The full-voltage grade reliability evaluation method can achieve reliability evaluation of full-voltage grade, and the reliability evaluation level of the electric system can be improved.

The invention discloses a transformer substation secondary equipment reliability management system and method based on event recording. The method comprises the steps of: firstly, collecting history data of transformer substation secondary equipment event recordings, and setting a starting time and an ending time of a statistics period; secondly, retrieving the event recordings in the statistics period of transformer substation secondary equipment and forming a directory; then respectively calculating the shutdown time of the transformer substation secondary equipment according to the number of the event recordings in the statistics period; calculating an equipment available rate of the transformer substation secondary equipment in the statistics period; then calculating the percentage of non-planned shutdown time of the transformer substation secondary equipment in the statistics period; and finally forming an electronic document of the equipment available rate of the transformer substation secondary equipment in the statistics period and shutdown classification statistics. According to the invention, by reading the event recordings of the transformer substation secondary equipment in the statistics period and carrying out classified statistics, the equipment available rate of the transformer substation secondary equipment in the statistics period is calculated, and the electronic document is formed, so that reliability assessment of the electric power system secondary equipment is realized; in addition, the system and the method are used for guiding the construction and maintenance of an electric power system, so that the purpose of fine management is achieved.

The invention provides a multi-state system reliability assessment method based on Markov and a universal generation function. A multi-state system is used as a research object, the method comprises:firstly, using the Markov process of a component for obtaining the probability of each state, using Lz transformation for obtaining a universal generation function model of the component, then usinguniversal generation operator for conducting operation to obtain a universal generation function of the system, and using a K-means clustering algorithm to process, so that the workload is greatly reduced, and the calculation efficiency is improved; and determining the transfer density of the Markov process of the system by using a genetic algorithm, so that the Markov process of the system is solved, and the reliability of the multi-state system is effectively evaluated in real time. Compared with a traditional Monte Carlo reliability analysis method, the calculation time is greatly shortened, the state explosion is avoided, the transfer density matrix is optimized on the basis of ensuring the calculation precision by adopting a genetic algorithm, the calculation efficiency is remarkablyimproved, and the calculation time is shortened.

The invention discloses a method for evaluating the reliability of an offshore wind plant and a flexible DC grid-connected system under the influence of weather, and the method is characterized in that the method comprises the following steps: S1, decomposing the offshore wind plant and the flexible DC grid-connected system into a plurality of subsystems; S2, establishing an equivalent failure rate model, an equivalent repair time model and a reliability evaluation model of each subsystem based on the reliability parameters of the elements in each subsystem, wherein the reliability parametersof the elements comprise the failure rate of the fan, the failure rate of the fan is positively related to the wind speed and the lightning stroke evaluation rate, the reliability parameters of the elements further comprise the repair time of each element, and the repair time of the elements is positively related to the wind speed; S3, establishing an autocorrelation MCMC model and a cross-correlation Copula model of the wind speed, and performing reliability evaluation on the offshore wind plant and the flexible DC grid-connected system by adopting a time sequence Monte Carlo method to obtaina reliability index. According to the invention, the reliability evaluation of the offshore wind plant and the flexible DC grid-connected system considering the influence of severe weather is realized.

The invention provides a GPSR routing security improvement method based on linear regression movement position prediction, and the method comprises the following steps that S10, a vehicle periodically broadcasts a self HELLO message, receives a HELLO message broadcasted by a neighbor node and updates a self routing neighbor list; S20, the vehicle sends a position prediction request to predict the geographic position of the node in the neighbor list; S30, the vehicle calls a neighbor node verification algorithm, corrects old position data in the list, and eliminates malicious nodes; S40, the vehicle selects an optimal routing node by using a GPSR greedy algorithm or a peripheral forwarding algorithm to realize safe routing. According to the GPSR routing safety improvement method based on linear regression moving position prediction, a moving position prediction model based on linear regression is designed, the driving distance of a vehicle at the next moment is predicted, the longitude and latitude of the vehicle in the next second are calculated after the moving direction of the vehicle is predicted, reliability evaluation of the actual position of the vehicle is achieved, and correctness and effectiveness of GPSR route generation are guaranteed.

The invention belongs to the technical field of network entity positioning, and particularly relates to a network entity landmark evaluation method and device with an error upper limit, and the methodcomprises the steps: obtaining candidate landmark data, carrying out the clustering according to the landmark declaration position distribution condition of a last hop router in the landmark data, and determining the possible position range of the router; and screening out reliable landmarks according to the possible position ranges, determining an error upper limit of the landmarks, and carryingout reliability evaluation on the landmark data. According to the method and the device, clustering is carried out according to the declaration position distribution condition of the landmark, the possible position range and accuracy of the router are calculated, reliable landmarks is screened out according to the position ranges of the landmarks and an error upper limit of the landmarks is determined, so as to acquire the reliable landmarks to support accurate positioning. Batch street-level landmark reliability assessment is realized, a problem that a landmark error range cannot be quantized in a current street-level landmark assessment process is solved, and the method has important guiding significance for a network entity landmark assessment technology based on network measurement.

The invention discloses a blood oxygen saturation measurement confidence degree calculating method and system and a storage medium. The method comprises the following steps of: recording light intensity information through a photoelectric volume pulse wave mapping method, wherein the light intensity information comprises red light, infrared light transmission light intensity and infrared light reflection light intensity; establishing a linear regression model of a pulse blood oxygen signal characteristic value according to the light intensity information; calculating a confidence degree of a linear regression straight line in the linear regression model; and obtaining the confidence degree of the blood oxygen saturation measurement result according to the confidence degree of the linear regression straight line. By the adoption of the blood oxygen saturation measurement confidence degree calculating method and system and the storage medium, the linear regression model is constructed through the light intensity information obtained by the photoelectric volume pulse wave mapping method; and finally the confidence degree of the blood oxygen saturation measurement result is obtained through the linear regression model, and a reliable evaluation of a measurement value is achieved, thereby avoiding situations of missed detection and false detection caused by influences of interference factors such as motion artifacts, noise and the like, and improving the reliability and scientificity of the blood oxygen saturation measurement result. The blood oxygen saturation measurement confidence degree calculating method and system and the storage medium can be widely applied to the technical field of signal processing.

The invention discloses a steel box girder fatigue reliability analysis method based on a two-stage convergence criterion, and belongs to the technical field of bridge fatigue reliability analysis. The method comprises the steps of 1, initializing an internal Kriging agent model, continuously adding sample points near a failure surface for training by adopting a U function in an active learning mode, and obtaining an estimation error of a failure probability; step 2, by defining an intermediate failure event, constructing a subset to simulate an external framework, converting a minimum failureprobability into a series of relatively high conditional failure probabilities, and training a Kriging agent model in the subsets of different levels until convergence; and 3, repeating the steps, continuously defining a new subset, and training the Kriging agent model until a two-stage convergence criterion is met. According to the method, the estimation precision of the failure probability canbe ensured, the efficiency can be improved, and the method is insensitive to the numerical value of the failure probability, so that the accuracy and high efficiency of the method are verified.

The invention discloses a reliability assessment method of a DCS system. The method comprises the steps of conducting a computing process according to an equipment reliability score corresponding to asub-system, obtained sub-system assessment data and recorded sub-system objective data to obtain a sub-system reliability score, wherein the equipment reliability score is obtained through a computing process according to obtained equipment assessment data and recorded equipment objective data; conducting a DCS assessment computing process according to all the sub-system reliability score and weight coefficients to obtain a DCS system reliability score. According to the reliability assessment method of the DCS system, the reliability assessment score of the DCS system is computed by dividingthe DCS system into three levels of equipment, the sub-system and a total system, and reliability assessment of the DCS system is achieved. The invention further discloses a reliability assessment device, a server and a computer readable storage medium, wherein the reliability assessment device, the server and the computer readable storage medium have the advantages.

The invention discloses an aerospace support scale model lightweight design and micro-deformation measurement method based on a similarity theory, and relates to the related technical field of structure optimization and measurement, and the method comprises the following steps: determining an optimization design domain and a load constraint according to a structure assembly relation; pre-processing the design domain by using a finite element thought, and setting an optimization objective function and structure size process parameters; obtaining a main force transmission path of the structure through topology, and carrying out linear fitting on a configuration boundary; by means of mechanical simulation analysis, determining an optimized size variable of the configuration and performing iteration; when it is judged that the performance requirements are met, establishing a scaling model by using a similarity theory and carrying out redundancy processing; furthermore, a physical experiment platform is built to measure the micro-deformation of the model so as to finally guide the design of a structure meeting engineering requirements. The invention provides a design thought of completing a structure lightweight design and building a scale model experiment platform by using an optimization algorithm in the field of aerospace high standards, and the requirement of high reliability of a design result is met.

The invention relates to test equipment for a natural storage life test of a sealing diaphragm. The test equipment comprises a spring pressure accumulator module, a one-way valve filling module and a sealing device body module, the spring pressure accumulator module and the one-way valve filling module are connected to the two ends of the sealing device body module respectively; the one-way valve filling module is used for conducting fluid one-way filling and sealing on the sealing device body module; the spring pressure accumulator module is used for compressing and pressurizing a fluid medium in the sealing device body module to ensure that the fluid medium in the sealing device body module is within a controllable pressure range; and the sealing device body module is provided with a tested inlet diaphragm assembly and a tested outlet diaphragm assembly. According to the test equipment, the problem of sealing pressure-resistant reliability of the inlet and outlet sealing membranes matched with the turbine pump under the natural storage condition is solved.

The invention relates to a post-buckling reliability analysis method for a composite material stiffened wall plate based on self-adaptive important sampling. The ultimate buckling load of the stiffened wall plate is calculated by using a semi-empirical formula; the uncertainty variable of the reinforced wallboard structure is studied, the reliability analysis is performed on the post-buckling of the composite reinforced wallboard by adopting a self-adaptive important sampling method, the failure probability of the post-buckling is efficiently and quickly obtained, and the reliability evaluation of the composite reinforced wallboard structure is realized.