33 results about "Fuzzy operators" patented technology

The invention discloses a diagnostic method of electrical life of a high-voltage circuit breaker based on a fuzzy theory, belonging to the field of online monitoring and failure diagnosis technologies of power equipment. The method comprises the steps of (1), listing factors comprising switch abrasion, time parameter, average opening and closing speed and contact resistance into a factor set as diagnosis factors to determine a diagnosis language set; (2), determining a weight set, namely determining weight of the factors by using an analytic hierarchy process; (3), determining a membership function and a relational matrix; and (4), processing a fuzzy operator and an evaluation index. According to the method, the fuzzy theory is applied to the electric life diagnosis of the high-voltage circuit breaker; the factors such as the switch abrasion, the time parameter, the average opening and closing speed and the contact resistance and the like which reflect the electric life of the circuit breaker are taken into account; a diagnosis index system of the electric life of the circuit breaker is built; a plurality of failure diagnosis sample libraries are not required in the diagnosis method of the electric life of the circuit breaker; the method is easy to program and capable of quickly and accurately diagnosing the electric life of the circuit breaker.

The invention discloses a digital image fuzzy intensification method for inosculating a plurality of fuzzy operators. The method is divided into four steps: step one, brightness-darkness grades are defined as four grades; step two, for a first grade image and a second grade image , a linear transit function is adopted to make conversion, for a third grade image and a fourth grade image, a nonlinear transit function is adopted to make conversion; step 3, on a fuzzy field, different brightness-darkness grades choose different fuzzy operators to make fuzzy image intensification: for the first grade image, a multinomial intensification operator is adopted to make fuzzy field intensification; for the second grade image, a logarithm type intensification operator is adopted to make fuzzy field intensification; for the third grade image and the fourth grade image, a sectional transit type intensification operator is adopted to make fuzzy field intensification; step 4, inverting back to null-field, fuzzy intensified null-field images are obtained and sent out. The invention can get a better visual efficiency whether the image is of insufficient exposure or over exposure.

The invention relates to a high resolution optical remote sensing image post-disaster water body information extracting method and system. The method comprises the steps that a post-disaster water body region is selected as a target post-disaster water body research region; the high-resolution optical remote sensing image is acquired; radiation calibration, atmospheric correction, geometric correction and noise removing are carried out on the acquired remote sensing image to acquire a preprocessed image; the preprocessed image is enhanced based on a generalized fuzzy operator method to acquire the enhanced image of the target post-disaster water body research region; an object-oriented method is used to segment the enhanced image; a method based on spectral information is used to carry out coarse extracting on water body information in the segmented image to acquire coarse-extracted post-disaster water body information; according to a water body information extraction feature knowledge judgment method, refined extracting is carried out on the coarse-extracted post-disaster water body information to acquire refined-extracted post-disaster water body information; and a regional mark method is used to carry out hole filling on the water body region to acquire final post-disaster water body information.

The invention relates to the technical field of digital image processing, and discloses an image enhancement method based on an intuitional fuzzy set so as to effectively improve the quality of a weak-edge noise image. Based on the intuitional fuzzy set theory, a new intuitional fuzzy operator is provided; then, through self-adaptation operation on a membership plane, the membership of pixel points in a foreground area is increased, and the membership of pixel points in a background area is decreased; finally, through inverse transformation, a high-quality image is acquired. Specific information of the image is selectively highlighted or restrained, so that the image is more suitable for visual characteristics of humans or recognition functions of other systems.

The invention discloses an evaluation method for a transformer electromagnetic design scheme and relates to the technical field of transformers. The evaluation method comprises the following steps: (1) establishing a transformer electromagnetic design scheme evaluation index system, and selecting corresponding transformer electromagnetic design scheme evaluation indexes; (2) constructing an Analytic Hierarchy Process (AHP)-gray fuzzy comprehensive judgment model of the transformer electromagnetic design scheme; (3) determining each evaluation index weight of the transformer electromagnetic design scheme through an AHP; (4) calculating the membership of each evaluation index through a gray correlation coefficient, and performing single-factor evaluation; (5) performing fuzzy composite conversion on each evaluation index weight and a single-factor evaluation structure through a weighted average fuzzy operator to obtain an evaluation result. According to the evaluation method for the transformer electromagnetic design scheme, the transformer electromagnetic design scheme is evaluated correctly, scientifically and objectively by constructing the AHP-gray fuzzy comprehensive judgment model and adopting the AHP and a gray correlation calculation membership.

The invention discloses an operation-maintenance risk evaluation method for a distributed new energy accessing power distribution network. The method includes building a hierarchical risk evaluation system; establishing a factor set and a remark set of an evaluation object; calculating the occurrence probability and severity of subdivision risk of each aspect obtained by resolving each project; performing integration evaluation to obtain an evaluation index; building a fuzzy evaluation matrix at all levels based on fuzzy integration evaluation to evaluate the real-time risk level of a power distribution network; determining each subdivision risk weight through methods like objective entropy weight; and obtaining a final evaluation result through fuzzy operators and evaluation index processing. The method can calculate a risk evaluation model of a distributed new energy scale accessing distribution network, so that good adaptation on novel active power distribution network characteristics can be achieved, and detailed information of all risks can be reflected.

The invention relates to a fuzzy comprehensive diagnosis method for a high-voltage shunt reactor based on dissolved gas in oil. The method comprises the following steps that step 1 delta=max(b1, b2 to b9) is computed according to b=(b1, b2 to B9), wherein b=coR, b is a diagnosis result set, c is a weight vector, o is a generalized fuzzy operator and R is a fuzzy relation matrix between encoding and fault types; step 2 if bj is not less than delta/2, the fault type fj corresponding to the bj belongs to A(suspicious fault set), j=1, 2 to 9, and bj is credibility of the jth fault; step 3 if the degree of membership corresponding to any Ri in a set of Ri corresponding to all nonzero rij in the jth row of elements in a matrix R is not equal to 0, the fault fj probably exists, and the possible fault type fj belongs to B(suspicious fault set); and step 4 an intersection of A and B is a true fault reason set. The method adopted by the invention does not need a large amount of fault diagnosis sample database and is easy to realize programming, and the fault diagnosis of the high-voltage shunt reactor can be quickly and accurately carried out according to the dissolved gas in oil.

The invention discloses a high-resolution image reconstruction method based on a directivity gradient. The high-resolution image reconstruction method comprises the following steps: 1) obtaining a main texture direction [Theta] for inputting a low-resolution image I belongs to R<m*n>; 2) utilizing a bicubic interpolation method to interpolate the low-resolution image I into a high-dimensionality interpolation image IL; 3) carrying out variable initialization and parameter selection; 4) obtaining a fuzzy operator matrix Fh and a conjugate fuzzy operator matrix FHh; 5) updating the value of xij; 6) updating the value of IH; 7 updating the value of Xij; and 8) judging whether convergence is carried out. A regular item of the directivity gradient is introduced to better show and dig direction texture information implied in the image so as to introduce prior information with better value into an ill-posed high-resolution reconstruction problem, and the high-resolution image with a better effect is obtained.

The invention discloses an augmented reality image reproduction method based on fuzzy logic, which relates to the technical field of augmented reality. The augmented reality image reproduction method comprises the steps of carrying out dual-tree complex wavelet decomposition on a reproduced image after denoising treatment firstly, so as to obtain a low-high-frequency coefficient matrix, performing fuzzy processing on low-frequency and low-frequency and high-frequency coefficients, namely, processing the coefficient matrix by utilizing a generalized fuzzy operator (GFO), mapping the coefficients into an ordinary fuzzy set, wherein some parameters therein are obtained through self-adaption, and performing inverse transformation on the processed coefficient matrix to obtain an augmented image. By adopting the augmented reality image reproduction method based on fuzzy logic, the objective image definition of the reproduced image can be increased, the noise can be reduced, and the edge details are expressed more obviously.

The invention discloses a supplier selection method based on intuitionistic fuzzy number and credit transfer. In the supplier selection method, the intuitionistic fuzzy number is used to represent the original reputation score of the procurement link in the supply chain, and the intuitionistic fuzzy average IFA operator is used to The original reputation score is preprocessed to generate a reputation score matrix, and the hyperlink-induced topic search HITS algorithm based on intuitionistic fuzzy numbers is used to calculate the value of the supplier's reputation attribute after delivery, and finally according to the supplier's reputation attribute value and the preset supply other attribute values ​​of the supplier, and select the optimal supplier. The device of the present invention includes a preprocessing module, a reputation attribute transfer module and a supplier selection module. The method and device of the present invention fully consider the transitivity and dynamic properties of the reputation attribute value of the supplier, so that the selected supplier is optimal.

The invention relates to a parallel mechanism configuration optimization method of a round steel end surface labeling serial-parallel robot, and belongs to the technical field of labeling in the metallurgical industry. According to the technical scheme, a fuzzy comprehensive evaluation decision set is built; a fuzzy comprehensive evaluation factor set is built; an index weight set is determined; acomprehensive evaluation matrix is determined; the index weight set and the comprehensive evaluation matrix are multiplied by a fuzzy operator to obtain a sequencing result, and parallel mechanism configuration optimization of the labeling serial-parallel robot is carried out. The weights of all evaluation indexes and the comprehensive evaluation matrix are calculated through the AHP, sequencingof parallel mechanism configuration is achieved through a fuzzy algorithm, and parallel mechanism configuration optimization is completed. According to the method, the parallel mechanism configurationof the round steel end surface labeling serial-parallel robot is effectively optimized, the labeling adaptability of the round steel end surface labeling serial-parallel robot is optimized, and the practicability of a round steel end surface labeling mechanism is improved.

The invention discloses a wind power prediction method based on a time interval fuzzy operator and approximate weight integration, so as to solve the defects that certain time delay exists when a generator blade is pushed by wind to rotate and output power change is finally reflected currently, data collected from a wind farm are possibly disturbed by noise factors, fluctuation in a short time thus appears and good prediction is hard to realize. The method comprises steps: 1, the power change trend at a precursor time point of each time point is calculated; 2, all data are divided to G groups, and each group of data is corresponding to a center point; 3, G regression forecasting models from model (1) to model (G) are acquired; 4, the approximate weight of each center point is built based on a description vector V and the distance between center points of groups of data; and 5, a wind power prediction result is acquired. The method is applied to the technical field of wind power.

The invention provides an efficiency evaluation scheme based on an environmental fuzzy factor in a satellite communication system efficiency evaluation technology based on cognitive radio. In performance evaluation of a cognitive satellite communication system, an environmental fuzzy factor is innovatively added to construct an environmental parameter system on the basis of combination of an analytic hierarchy process and a fuzzy comprehensive evaluation method. Firstly, an index parameter system is constructed according to an analytic hierarchy process, and then an environment parameter system is constructed according to the surrounding environment and environment fuzzy factors. A fuzzy operator of the fuzzy comprehensive evaluation method can make up the weight subjectivity problem of ananalytic hierarchy process, and the analytic hierarchy process can simplify the tedious steps of data preprocessing of the fuzzy comprehensive evaluation method. Besides, the newly added environmental parameter system not only can evaluate the efficiency of the satellite communication system more truly, but also can dynamically adjust the input parameters of the system, thereby achieving the effect of feeding back the system and improving the overall efficiency of the system.

The invention discloses a reliability analysis method for a high-voltage electrical system of a pure electric commercial vehicle. The method comprises the following steps: dividing the high-voltage electrical system of the pure electric commercial vehicle into three subsystems, and building a fuzzy fault tree for each subsystem; dividing each fuzzy fault tree into a function failure mode sub-fault tree and a state degradation mode sub-fault tree; solving the failure probability of the function failure mode sub-fault tree and the importance degree of bottom events according to a fuzzy probability of each bottom event by utilizing a fuzzy mathematical theory and a triangular fuzzy operator; obtaining the fuzzy probability through linguistic variables, and processing the fuzzy probability to obtain a probability when a polymorphic bottom event is in a failure state; solving a failure probability of the state degradation mode sub-fault tree, and combining the failure probability of the function failure mode sub-fault tree and the failure probability of the state degradation mode sub-fault tree to obtain the reliability of each subsystem. According to the invention, the fault diagnosis time is saved, and theoretical guidance is provided for reliability design of a high-voltage electrical system of a pure electric commercial vehicle.

The invention discloses a measuring cabinet state detection method, device, equipment and medium, and the method comprises the steps: dividing feature information into different fuzzy factor sets, and obtaining a fuzzy factor set weight matrix and a comprehensive score value of each fuzzy factor set; calculating the fuzzy factor set weight matrix and the comprehensive score value of each fuzzy factor set through a fuzzy normal distribution membership function to obtain a state score of each fuzzy factor set; selecting a feature identifier corresponding to the minimum score value as a target identifier through a minimum fuzzy operator; inputting the minimum score value into a normal distribution membership function model for calculation to obtain a membership value corresponding to each feature identifier, and determining the state level corresponding to the maximum membership value as the state level of the to-be-detected metering cabinet; and determining the detection result based on the state level and the target identifier, so that more information with relatively low membership and evaluation value is shielded, and the credibility of the evaluation result is improved.

The invention belongs to the field of satellite navigation, and particularly relates to an INS/USBL integrated navigation system performance evaluation method based on nonlinear FCE, which comprises the following steps of: establishing an INS/USBL integrated navigation system index system and a comment level; calculating an evaluation matrix based on a membership function; calculating a combined navigation system weight vector C; comprehensive evaluation and normalization are carried out; an evaluation level interval quantization value is calculated. According to the invention, performance evaluation is carried out on an INS/USBL integrated navigation system by using nonlinear FCE. According to the method, an INS/USBL integrated navigation system is designed, a three-level index system ofthe INS/USBL integrated navigation system is designed, the performance of the integrated navigation system is evaluated from device-level errors, a nonlinear FCE based on a nonlinear fuzzy operator isdesigned, and the method can scientifically and quantitatively evaluate the INS/USBL integrated navigation system.

The invention provides a fan regulation and control method and device for conducting fuzzy control on multiple temperature sensors, and belongs to the technical field of fan regulation and control. Obtaining the reading of each temperature sensor, and calculating the membership degree of each temperature to the front temperature condition of the rule; obtaining a fuzzy operator of each fuzzy rule, and carrying out operation on each membership degree of the front temperature condition of the fuzzy rule to obtain a weight of the front temperature condition of the fuzzy rule; the weights of the front temperature conditions of all the fuzzy rules are applied to the rear rotating speed conclusion of the same fuzzy rule, curves of the rear rotating speed conclusion are obtained, all the curves are combined, and a fuzzy set of all the fuzzy rules is obtained; and performing defuzzification on the curves of all the fuzzy rules to obtain the rotating speed of the fan, and adjusting the rotating speed of the fan. The fan rotating speed is directly calculated according to the temperature by using the fuzzy control algorithm, so that the problem of CPU downtime caused by untimely temperature control is avoided.

The invention provides a ship transmission device belt seawater cooling system evaluation method, which comprises the following steps: (1) analyzing a fault of a ship seawater cooling hydraulic system, and selecting a top event; (2) subjectively judging the fuzzy occurrence probability of the basic event through an expert; (3) constructing a T-S fuzzy fault tree; and (4) calculating the occurrence probability of the top event by using and/or a fuzzy operator. According to the method, the reliability of the ship seawater cooling hydraulic system can be effectively evaluated, the problem that a traditional dynamic fault tree cannot be effectively evaluated due to imperfect unit probability measurement and unclear system failure mechanism is solved, and the efficiency and accuracy of the risk evaluation method for the ship seawater cooling hydraulic system are improved.

The invention belongs to the technical field of navigation information processing. The invention relates to a performance evaluation method of a composite navigation fusion algorithm. The method comprises steps: firstly, constructing a composite navigation system performance multi-level index system; determining a composite algorithm performance sub-target weight distribution set of the compositenavigation system and a weight distribution set of an evaluation index; constructing a membership matrix and then carrying out comprehensive evaluation. According to the method, an FAHP method and anFCE method based on logarithm least square are combined; the method solves the problems that the fusion algorithm of the ballistic missile-carried inertial/land-based/satellite composite navigation system has many performance influence factors and is difficult to quantitatively evaluate, can determine the weight vector of the fusion algorithm performance evaluation index, utilizes the fuzzy operator to carry out weighted synthesis, and has the advantages of quantifiable index weight, strong comprehensive evaluation capability and the like.