4 results about "Matter element model" patented technology

The invention discloses a power station condenser operation state evaluation method and system based on extension evaluation. The method comprises the steps that S1, a condenser operation state evaluation index system is established; s2, building a matter-element model: based on an extension matter-element theory, combining the six evaluation indexes with the four operation state grades, and building a multi-dimensional matter-element model; s3, determining a weight coefficient: calculating the weight coefficient of each evaluation index based on historical data by adopting an entropy method; S4, calculating a correlation degree: calculating the correlation degree between the monitoring data of the condenser to be evaluated and each evaluation grade based on a correlation function in an extension set theory; and S5, comprehensively judging the operating state grade: calculating the relative value of the comprehensive correlation degree of each evaluation grade by combining the weight coefficient and the correlation degree, and determining the final operating state grade of the condenser according to a maximum value principle. The method has the advantages of high evaluation precision and the like.

The application discloses a kind of product concept design reliability prediction methods, comprising: S1 is carried out to target product structure classification, obtains the key components of target product and the design life value of target product;S2 according to the key components in S1 is for the target product Virtual test matter element model R is built, and the virtual test matter element model R includes the key components of the target product theoretical design parameter;S3 is based on the virtual test matter element model R in S2, carries out iterative analysis and obtains multiple groups about target product Accumulative damage value and corresponding virtual life value;S4 according to the virtual life value corresponding when the first occurrence cumulative damage value is greater than or equal to 1 in S3 as comparison value, compared with the design life of target product, to judge the reliability of target product.The application also provides a kind of system suitable for the prediction method.The system is simple to operate, and it is convenient for user to carry out quick judgment to the reliability of product concept design scheme.

The application discloses a kind of transformer state evaluation methods based on fuzzy matter-element and principal component analysis, belong to transformer operating state evaluation technical field, this method first utilizes matter-element method to establish the matter-element model of transformer, the index information of multiple elements of transformer is fused, and the model is fuzzy and normalized processing;Entropy weight method is introduced into the weight calculation of transformer state index, and the weight of transformer state index is obtained using the operation data of transformer state index;Principal component analysis is used to extract the main component, and the main component is used to replace all components to reduce the transformer online monitoring state quantity.Finally, a transformer state evaluation model based on fuzzy matter-element and principal component analysis is designed, and the operating state of the transformer is finally obtained;The application uses entropy weight fuzzy matter-element and principal component analysis to safely and effectively evaluate the transformer state, which can assist the dispatching department of power grid to make decisions and improve the stability of power grid operation.

The invention provides an intelligent power equipment state evaluation method. The method comprises the following steps: S1, collecting and classifying historical operation parameters of intelligent power equipment; s2, dynamically screening out the key indexes according to the influence degrees of the key indexes; s3, determining the weight of each key index according to the correlation between the key indexes and the equipment fault, and carrying out adaptive adjustment; s4, forming a new dynamic cloud matter element model based on the combination of the cloud model and the dynamic matter element, and formulating an evaluation index system; s5, outputting the initial membership degree at the moment t1; s6, obtaining a real-time membership degree at the moment t2; and S7, comparing the initial membership degree with the real-time membership degree, outputting the state of the intelligent power equipment at the moment, and predicting the index development trend based on the evaluation index system. According to the invention, the real-time operation parameters of the intelligent power equipment at multiple moments can be efficiently compared through the constructed dynamic matter-element model; the current state of the intelligent power equipment can be clearly presented, and the development trend of the equipment state can be accurately predicted.