6results about How to "Realize Reliability Assessment" patented technology

The invention discloses a new energy power system reliability evaluation method and system under multi-class short-circuit ratio constraint. The method comprises the following steps: determining a short-circuit ratio model of each grid-connected bus and a short-circuit ratio model of each sending-end bus; power flow optimization models are established for different random faults, the power flow optimization models take the minimum system comprehensive cost under the different random faults as an objective function, and the power flow optimization models further comprise combined constraint conditions after the random faults and short-circuit ratio constraint conditions meeting the combined constraint conditions after the random faults; solving the power flow optimization model to obtain power flow control schemes under different random faults; the weighted sum of the occurrence probability of each random fault and the system comprehensive cost corresponding to the power flow control scheme under each random fault is used as a reliability evaluation index of the new energy power system, the direct current bearing strength and the new energy bearing strength are considered in the system reliability evaluation process, and the optimal power flow and the system stability are considered.

The invention provides a reliability evaluation method for conversion from a success-failure test to a metering test, and the method comprises the steps: 1, building a reliability series model of a common spaceflight product according to the characteristic that the spaceflight product is composed of a plurality of mutually independent key subsystems which are connected in series; 2, realizing reliability evaluation of each subsystem by adopting a normal distribution tolerance limit method according to the measured small sample measurement data of the subsystems; 3, based on a confidence limit theory of a sum-difference-product quotient, according to reliability evaluation results of completely different subsystems, realizing aerospace product complete machine reliability evaluation under high confidence; and 4, establishing a reliability evaluation method for the whole spaceflight product under the condition that the subsystems are completely the same. According to the invention, by measuring the performance parameter test data of each key subsystem, the traditional success and failure test of the spaceflight product is converted into the small sample metering test, so that a large amount of test cost and time are saved, and the small sample reliability evaluation of the whole spaceflight product can be realized under the high reliability index requirement.

The application discloses a multi-state system multi-source inaccurate information correction method, comprising the following steps: step 1, constructing a reliability function of the system, building an evidence network model and a conditional belief quality table; step 2, collecting multi-source inaccurate information provided by experts on the reliability evaluation of the multi-state system at different moments in the whole life cycle of the multi-state system; step 3, constructing a reliability consensus reaching model according to the multi-source inaccurate information provided by the experts to correct the multi-source inaccurate information; by solving the model, the multi-source inaccurate information reaching a specified consensus threshold is obtained under the premise of fully respecting the original opinions of the experts; and step 4, calculating the reliability function of the system and outputting the reliability evaluation result reaching the consensus. The application can identify and effectively correct the multi-source inaccurate information collected from the multi-state system, and maximally resolves the conflicts, so that the reliability information at different levels is effectively fused.

The invention provides an accelerated degradation test design and reliability evaluation method and system of an operational amplifier, and relates to the technical field of reliability test and reliability evaluation of the operational amplifier, and the method comprises the steps: carrying out the failure mechanism analysis of the operational amplifier, researching the influence of a stress factor on the performance index of the operational amplifier, and determining the degradation trend of the operational amplifier; testing the degradation behavior of each performance parameter, and determining the most sensitive degradation parameter; setting different temperature stress levels and test intervals, and recording degradation data; an accelerated degradation test scheme is optimized, and a progressive variance is minimized according to a set objective function; performing degradation modeling on the plurality of sensitive parameters by using multiple regression analysis and a Copula function; and an optimal Copula function is selected through an AIC criterion, reliability evaluation of the operational amplifier is completed, and a reliability curve of the operational amplifier is generated based on test data. According to the invention, the problem that the accuracy of test effectiveness and reliability evaluation is difficult to improve is solved.

The invention belongs to the technical field of electric shovel evaluation, and discloses an electric shovel low-voltage electric appliance reliability evaluation method, which comprises the steps of collecting environment data of a severe environment where a target electric shovel is located, selecting performance degradation characteristics of an electric shovel low-voltage electric appliance, and synchronously monitoring electric appliance data with the performance degradation characteristics changing along with time in real time; establishing a unary linear Wiener degradation model of the electric shovel low-voltage electric appliance according to the performance degradation characteristics, inputting electric appliance data, obtaining model parameters, and calibrating a mapping relation between the environment data and the model parameters; presetting a failure threshold value of the performance degradation characteristic, and calculating a probability density function and a reliability function of the life of the low-voltage electric appliance of the electric shovel in combination with the model parameters and the mapping relation; generating a probability density curve and a reliability curve of the service life of the electric shovel low-voltage apparatus according to the probability density function and the reliability function, and performing reliability evaluation on the electric shovel low-voltage apparatus; according to the method, the degradation model is established by selecting the performance degradation characteristics, so that reliability evaluation of the low-voltage electric appliance of the electric shovel is effectively realized.

The invention provides a method and equipment for evaluating the service life of a satellite-borne SIP device. The method comprises the following steps: determining each key structure for evaluating the service life in the satellite-borne SIP device; based on the use environment stress and failure mechanism of each key structure, establishing a failure physical model corresponding to each key structure; based on a Monte Carlo method, sampling the geometric dimension parameters of the key structures to obtain parameter samples of the key structures; substituting each parameter sample into a corresponding failure physical model to obtain life data corresponding to each key structure; based on each piece of life data, fitting to obtain a life probability density function of each key structure; obtaining the service life of each key structure based on each service life probability density function; and evaluating the service life of the satellite-borne SIP device based on the service life of each key structure, thereby realizing the reliability evaluation of the satellite-borne SIP device based on the competition failure theory.