33 results about "Fuzzy correlation" patented technology

The invention discloses a fuzzy set based intelligent evidence theory inspection information fusion method. The method includes the steps of 1), collecting sensor information acquired from a robot in intelligent inspection; 2), calculating mutual support degrees of multiple sensors by the aid of fuzzy correlation function; 3), calculating fuzzy membership degrees of the sensors according to measurement data of the sensors and representing credibility of information provided by the sensors with the membership degrees; 4), converting support degrees and credibility of the sensors into basic probability assignments namely mass functions; 5), performing fusion on the information of the sensors by the aid of a D-S theoretical synthesis rule. With the method, technical problems that data sources in fusion of the information of the sensors of the intelligent inspection system in the prior are subjective, credibility of the sensors and mutual relation among the sensors are not objectively reflected resulting in large error in information fusion, low accuracy and the like are solved.

The invention discloses a fuzzy logic and evidence reasoning-based transformer insulation stress calculation and evaluation method. The method comprises the following steps of firstly normalizing field data, namely, converting input data for describing a normal value, a limit value and the like of a transformer into dimensionless variables of a [0,1] region; secondly fuzzifying the input data, namely, mapping the input data to a fuzzy membership function, wherein a trapezoidal membership function, a generalized bell-like membership function or a Gaussian membership function can be used; thirdly building a transformer stress evaluation tree model, namely, establishing nodes from the input data of the transformer to an insulation stress of the transformer, and a connection mode of the nodes, and correlating the nodes of upper and lower layers by using a fuzzy correlation matrix; fourthly determining a weight value between the nodes, namely, obtaining a synthesized weight value by using a subjective weight value of an analytic hierarchy process and an objective weight value of eigenvector analysis; and finally obtaining the insulation stress of the transformer, namely, determining a total stress level of the transformer by using a reasoning mechanism and an evidence synthesis rule. The method has the advantages in accuracy, flexibility and capability of processing measurement uncertainty.

The invention relates to a method for positioning a temporary voltage drop source on line by adopting fuzzy similarity match. The method is characterized by comprising the following steps: establishing a node positive sequence voltage match index calculation model by taking the positive sequence voltage of existing nodes of the whole network as a characteristic quantity, and positioning the temporary voltage drop source by utilizing the fuzzy similarity of voltage match indexes and the match index similarity of monitored voltage vectors. The method disclosed by the invention can be used for accurately positioning the temporary voltage drop source by utilizing existing limited monitoring point information. The method disclosed by the invention can be used for calculating the voltage match index of the positive sequence voltage of a node during temporary voltage drop and matching and identifying by utilizing fuzzy correlation degree and a line fault characteristic set established off line, thereby being insensitive to data accuracy. Besides, the method disclosed by the invention can be used for integrally judging and identifying the temporary voltage drop source by simultaneously adopting the information of all monitoring nodes and the information of a network topology, is rich in data source and has certain fault tolerance, and thus high accuracy and universality are achieved in positioning the temporary voltage drop source by utilizing the method.

The invention relates to the color image matching analyzing method based on the color contents and its distribution. The invention proceeds the matching analyzing to the input image and the referent image stored in the data base, which is a set of images with a certain special feature, based on the combination of the color histogram fuzzy correlation and the shape matrix analysis, to determine whether there is an image matching the input one in the referent image data base. It is composed of the following steps. Extract the color histogram of the input image and the referent image to determine whether the two images are matched according to the matching degree of the two histograms. Then extract the given area morphological feature of the input image to get its shape matrix, and determine the matching degree according to the comparative result between the shape matrix of the input image and the referent one. The invention is more effective than the existing relevant technique, with lower erroneous judgement rate and higher accuracy when applied to identify and analyze the imperfect image.

The invention discloses a rolling bearing intelligent fault diagnosis method based on a multi-classification fuzzy correlation vector machine. The acceleration sensor is used for collecting vibrationsignals of the rolling bearing; wavelet packet energy feature vectors of all operation states are obtained under different noise intensities; a new class center-based membership degree calculation method is introduced; based on this, a multi-classification fuzzy correlation vector machine is constructed to realize intelligent fault diagnosis of the rolling bearing; the fault feature vector sampleset is trained and tested by using the multi-classification fuzzy correlation vector machine, and the test result is compared with the actual fault type, so that the effectiveness of the diagnosis method is verified, and the intelligent fault diagnosis of the rolling bearing is realized. The diagnosis method overcomes the defect that a traditional intelligent fault diagnosis method is not high indiagnosis accuracy in a strong noise environment, is high in fault diagnosis efficiency and good in anti-noise performance, is suitable for rolling bearing fault diagnosis in a complex noise environment, and has good engineering value and application prospect.

The invention discloses an instance retrieval method based on fusion of an association function and a D-HS index. The method comprises the following steps: proposing a concept and a corresponding calculation formula of a fuzzy correlation function in combination with a fuzzy number, and proposing a single-dimensional correlation function combination similarity measurement method in combination with an analytic hierarchy process. Compared with a full-dimensional correlation function calculation method, the method not only ensures index precision, but also improves index speed when facing high-dimensional retrieval. A Sigmoid function is used for carrying out nonlinear transformation on data, so that the problem of low index accuracy caused by non-uniform data distribution in a traditional D-HS index method is effectively solved. The improved method is fused, so that the preciseness and accuracy of the traditional D-HS index are improved. The complexity that an association function needsto perform similarity calculation on all instance library instances is avoided. The retrieval effectiveness problem is solved to a certain extent.