43 results about "Extension theory" patented technology

The invention relates to a power transformer fault diagnosis method which combines the extension theory and the rough set theory, belonging to the electric power main equipment fault diagnosis technical field. The invention completes primary reduction classification of the attribute condition needed by various fault types according to a rough set attribute reduction method and then establishes a matter element model of transformer fault diagnosis; DGA testing data is taken as a transformer fault diagnosis attribute set; a transformer standard fault mode is taken as a transformer fault diagnosis decision-making set; various fault degrees are calculated by means of an extension correlation function; moreover, fault inclusion-exclusion rule is defined to determine a transformer fault. The power transformer fault diagnosis method carries out analysis through taking a certain transformer as an example with the diagnosis result according with the practical situation; seventy six pieces of transformer DGA information are collected and fault diagnosis is carried out by means of the method, thereby obtaining higher diagnosis correct rate as compared with IEC three-ratio method.

The invention discloses a control method for differential-motion power-assisted steering stability of an electric car driven by a wheel hub motor. The method comprises the following steps that (1) the characteristic states formed by yaw velocity deviation and actual side slip angles are extracted; (2) based on the extension theory, extension coordination control correlation functions under different set states are calculated; (3) according to the correlation functions, the corresponding differential-motion power-assisted moment weight coefficient and yawing moment weight coefficient of the correlation functions under the different set states are determined; (4) a differential-motion power-assisted steering controller is built and combined the differential-motion power-assisted moment weight coefficient to obtain the differential-motion power-assisted moment; (5) a yawing moment controller is built and combined with the yawing moment weight coefficient to obtain the yawing moment; (6) according to the actual car speed information, through PID controlling, the total driving turning moment needed by the target car speed is obtained; and (7) the differential-motion power-assisted moment, the yawing moment and the total driving turning moment are distributed, and constraint conditions are built so as to meet the different requirements of a car under different states for turning moment adjustment.

The invention provides an antimony floatation working condition recognition method and system. The antimony floatation working condition recognition method includes the steps of preprocessing recorded antimony floatation foam image characteristic data, extracting key foam characteristics which are highly sensitive to working condition changes and have no relations or have weak relations with one another from the processed foam image characteristic data, fusing various key foam characteristics based on the matter-element extension theory, setting up the relational degree matrix between the key foam characteristics of working conditions to be recognized and types of preset working conditions through a correlation function, combining the subjective weighting method with the objective weighting method through the game theory method and by means of the optimization theory to obtain the comprehensive weight of the key foam characteristics, calculating the comprehensive relational degree between the working conditions to be recognized and the types of the preset working conditions based on the relational degree matrix and the comprehensive weight, determining the types of the working conditions to be recognized according to the maximum relational degree principle, and forecasting the level change tendency of the working conditions.

The invention discloses a vehicle traveling stability controlling method and system based on extension sliding mode wire controlling. The method comprises the following steps that S1, the vehicle reference heading angle speed information and the actual heading angle speed information in the actual traveling process of a vehicle are obtained; S2, the actual heading angle speed deviation and the derivative of the actual heading angle speed deviation are extracted and form a characteristic state; S3, sliding mode controllers are established, expanding design of the sliding mode controllers in different value ranges is conducted based on the extension set of the extension theory, so that extension sliding mode controllers are established in a universal range; S4, according to the characteristics state, the extension set is divided, the correlation functions controlled by extension in different set states are calculated, and controlling strategies are distributed to different measurement modes according to the correlation function dividing a measurement mode; and S5, according to the extension sliding mode controller, an ideal front wheel intersection angle in different measurement modes is output, and the actual vehicle front wheel intersection angle tracks the vehicle ideal front wheel intersection.

The invention relates to a fault line selection fusion method of a power distribution network cable-line mixing line which utilizes an extensive theory, and belongs to the electric power system relaying protection technology field. The application of a distribution network cable-line mixing line is increased in cities, a cable in a unit length has larger capacitance for the earth than a trolly wire, frequency dependent character of a cable parameter is serious, and a voltage current fault transient state component is more distinct when the cable-line mixing line is connected with the ground in a single phase way. Perceptual decay direct current component characteristic of each feeding outgoing line fault zero-sequence current is fused with a disintegrating and integrating relative coefficient of a transient component small waving bag through utilizing the extensive theory. Possible fault line assembly, fault characteristic assembly and an amount domain which is set by the characteristic are used as three factors for the extendable merging matter, and the decay direct current component and the small waving bag disintegrating and integrating relative coefficient are used as the characteristic assembly. A weight function can be objectively confirmed according to the size of a fault close angle, a fault confident degree of each line can be calculated through utilizing the extensive correlation function, and the fault outgoing line is judged according to the confident degree. A great number of artificial results indicate that the line chosen by the method is accurate and reliable.

The invention relates to a distribution network fault line selection method based on extensional fusion of pattern spectrum analysis and morphological peak and valley detection, and belongs to the technical field of electrical power system relay protection. When a single-phase ground fault happens to a resonant grounded power distribution network, the fault line selection method with the pattern spectrum analysis has the good line selection effect on a fault with a small initial phase angel, and the fault line selection method with peak and valley detection of each feeder zero-sequence current in the feature frequency band has the good line selection effect on a fault with a large initial phase angel. The initial phase angles are calculated, the extension theory is combined, extensional fusion is carried out on the two line selection methods with the fault initial phase angles as weight distribution factors, and symbols relevant to confidence coefficients are used as criterions to achieve fault line selection. Specific examples and a large number of simulation experiments show that the method has applicability and reliability on different fault lines, fault distances, transitional resistances and fault initial phase angles.

The invention provides a fault diagnosis method of capacitive equipment. The fault diagnosis method comprises the following steps of: utilizing a grey correlation analysis method to obtain a grey correlation degree between a dielectric loss factor tandelta of the capacitive equipment and an environmental factor and taking the obtained grey correlation degree as characteristic quantity to establish a matter-element model of the capacitive equipment to be diagnosed; and then, gaining the grey correlation degree between the matter-element model of the capacitive equipment to be diagnosed and each pre-established typical fault matter-element model by applying an extension theory; and finally, comparing the grey correlation degrees to judge that the equipment has the type of fault if the grey correlation degree between the matter-element model of the capacitive equipment to be diagnosed and the type of fault matter-element model is the highest. According to the invention, influences on diagnosed results by the environmental factor are effectively eliminated, not only various probable faults can be accurately diagnosed, but also the condition that a plurality of the faults simultaneously happen can be diagnosed. The method provided by the invention has the advantages of definite physical meaning and easiness of realizing programming.

The invention discloses a method for repairing missing of underground water level monitoring values, which is based on an underground water level space-time sequence characteristic analysis result, carries out research around a space-time missing value hybrid repairing algorithm principle, and abstracts a missing repairing hybrid model considering space-time correlation. By analyzing the characteristics of a geostatistics method and a machine learning algorithm, a ubiquitous kriging spatial interpolation method and a time missing repair algorithm suitable for underground water level monitoringdata are selected, and according to a space-time element extension theory, the single space and time missing repairing algorithm is fused to construct the space-time missing data repairing hybrid model.

The invention provides a path selection method for a multi-hop cellular network of a fixed relay. The method comprises the following steps of judging whether a mobile station satisfies a local forwarding strategy or not; if so, selecting a local shortcut transmission path; otherwise, establishing a mapping relation between quality of experience (QoE) and a Quality of Service (QoS) parameter by using a matter element analysis model of an extension theory under the consideration of the QoE; constructing a QoE evaluation level target function of a candidate path P; meanwhile, establishing a network channel capacity target function on the basis of the optimization of network performance; and resolving by using a Nash bargain axiom by taking the QoE evaluation level target function and the network channel capacity target function as players in a cooperative game model to obtain an optimal transmission path. A multi-target path selection method in which the network performance can be optimized and the QoE of a user is fully considered is adopted, so that the average data packet delay is reduced while higher QoE of the user is ensured, and the system throughput rate is increased.

The invention relates to a project management system suitable for constructional engineering, which establishes a construction safety evaluation index system for common accidents on a construction site, determines index weights by using an analytic hierarchy process, and establishes an early warning mechanism for constructing cloud safety management based on distributed calculation and an extension theory for a safety index evaluation task. According to the method, the overall calculation time is saved, the safety condition of the construction site is quantitatively evaluated, a concise and intuitive view of a text theme is provided by deleting redundant and non-key information, meaningful project management information is extracted and clearly described from a report, and a powerful basis is provided for expressing project state information.

The invention discloses a multi-mode switching control method and system of an electric power steering system. The method comprises the following steps that (S1), a vehicle steering wheel torque and rotary angle and vehicle speed information are obtained, and a control mode is selected; (S2), a fuzzy switching controller is designed, and the output current is worked out according to the target current and the weight coefficient; (S3), the differential and the second-order differential of the output current are calculated, an extension set relevant to the feature state is built, and regional division is conducted; and (S4), the fuzzy switching controller is subjected to functional improvement on the basis of an extension theory, different control methods are set in different regions of the extension set, the correlation function is built, the condition that the output current locates in which region of the extension set is judged, and the optimized electricity quantity is input into a motor. According to the multi-mode switching control method and system of the electric power steering system, the target current is optimized according to different adopted control strategies at different current set states, so that the better control property is obtained, and EPS multi-mode smooth switching is achieved.

The invention discloses a multi-level metro operation safety risk measurement method, which comprises the following steps: selecting metro operation risk evaluation indexes by using factor analysis method, determining calculation and assignment methods of each index, and establishing station hierarchy-line level- line network level-multi-level risk evaluation index system of, measuring and evaluating the risk of metro station by LEC evaluation method, and then using the risk assessment model based on extension theory to analyze the risk of the station level, line level, at the network level, judging the security state of the whole object and the single index. The method can provide guidance for risk management and control, overcome the problems of scattered evaluation content, unclear service objects and one-sided evaluation results in the current safety risk assessment process, realize the micro-, meso-and macro-safety risk assessment of subway operation, and improve the accuracy, effectiveness and operability of risk assessment methods.

The invention discloses a low current fusion line selection method based on an extension theory. The low current fusion line selection method fuses inductive attenuation direct current component characteristics of each feeder fault zero sequence current and transient component wavelet packet decomposition comprehensive correlation coefficients of a characteristic frequency band by employing the extension theory, fully utilizes obvious fault transient characteristics when a single-phase grounding fault occurs in a cable-wire hybrid line, set a quantity domain corresponding to each characteristic adaptively according to each characteristic value, determines a weight coefficient corresponding to each characteristic objectively according to the size of a single-phase grounding fault angle, andfurther improves the accuracy of the line selection method.

The invention discloses an enterprise information technology application degree evaluation method. The method comprises the following steps of S1, establishing a three-stage evaluation index system of enterprise information technology application evaluation; S2, performing analysis from the perspective of an enterprise development strategy, and extracting a disruptive information technology with a most important influence on current enterprise development as an evaluation object; S3, based on the step S2, designing 1 to N stages of indexes for enterprise information technology application level evaluation, and determining the last stage as a leaf index, thereby constructing an enterprise disruptive information technology application level index system; S4, endowing various three-stage evaluation indexes with scores according to enterprise software and hardware device input, enterprise information manpower resources, information technology application conditions and actual data of enterprise information application performance; and S5, building an evaluation model based on an order relation method and a matter-element extension theory.

The invention relates to an extension theory-based hydraulic power plant security evaluating method and belongs to the field of application hydraulic power plant safety evaluating technologies. According to the method, a comprehensive index system for hydraulic power plant security evaluation is built and mainly comprises four criterion layers of production equipment, power plant buildings, metalstructures and safety measures and management; an extenics matter element model for hydraulic power plant safety evaluation is built; security performance of a hydraulic power plant is classified intofour grades of excellent, good, alert and severe so as to build classical domain and joint field model models for an evaluation system, a analytical hierarchy method is adopted for determining weightcoefficients of all factors, a weighted summation mode is adopted, degrees of relevance between a material element to be evaluated to different grades are calculated, and a grade to which the safetyperformance of the hydraulic power plant belongs can be determined according to a maximum value of the relevance; via the method disclosed in the invention, the safety performance of the hydraulic power plant can be evaluated in a scientific and objective way, basis can be provided for reasonable arrangement of overhauls for the hydraulic power plant, and reliable operation of the hydraulic powerplant can be ensured.

The invention discloses a multiple forecast method of line loss rates based on an interval extension theory. The multiple forecast method comprises the following steps: an interval extension forecasting model is established according to clustered data, and classical domains, joint domains and material elements to be forecast are established; weight coefficients of influencing factors are determined through calculation of correlation degrees, and types corresponding to the line loss rates of years to be forecast are determined; the corresponding classical domains and joint domains are constructed according to a plurality of subsets of a set P divided by cluster analysis, then the material elements to be forecast are determined, subsets to which samples to be forecast belong are determined according to correlation function values, and a cluster forecast result is obtained. The problem that influence factor values of forecast objects cannot be accurately determined is solved through the interval extension theory, the method is scientific and reasonable, has stronger adaptability, is suitable for calculating line loss rates of years or months in different regions, and the multiple forecast can be achieved, so that the result is more accurate.

The invention belongs to the field of dam seepage safety evaluation in water conservancy engineering, provides a solution to both multiple attributes and the incompatible problem, can also solve the problems of different time intervals, missing data, mass data, etc. and realizes the real-time, dynamic and continuous dam seepage safety comprehensive evaluation method. The seepage safety comprehensive evaluation method based on the FDA and the extension theory of the invention comprises the following steps: (1) establishing a seepage safety comprehensive evaluation index system; (2) obtaining and normalizing the index data; (3) index data functionalization; (4) data acquisition and normalization of derivative indicators (5) establishment of FEE Matter Element Model for Comprehensive Evaluation of Seepage Safety; (6) calculating the correlation function of FEE single index; (7) determining the weight of each index; (8) calculating the score of single index; (9) establishing the comprehensive evaluation index of seepage safety. The invention is mainly applied to the safety evaluation of dam seepage.

The invention discloses an aircraft damage rush repair effectiveness evaluation method: A, determining an aircraft damage rush repair effectiveness evaluation index; B, constructing an efficiency evaluation index system; C, establishing an extension evaluation matrix of the index; D, calculating the comprehensive extension judgment matrix of the index; E, calculating that weight value of the extension relative entropy of the index; F, obtaining that comprehensive weight value of the index; G, establishing that effectiveness evaluation model. This method synthesizes the information contained inthe index data and the fuzziness of expert judgment, which provides an objective way to calculate the index weight, Based on the extension theory and entropy weight method, the method of determiningthe index weight is given, which makes the determination of index weight more reasonable, objective and scientific. According to the evaluation index, the evaluation model of aircraft damage rush repair effectiveness is established, and the aircraft damage rush repair effectiveness is evaluated reasonably, scientifically and effectively, which provides an important basis for its auxiliary decision-making.

The invention provides a food cold chain transportation service network robust optimization method comprising the following steps that S1, a food cold chain transportation service network model basedon the solitary wave is constructed; S2, the food chain transportation resources are dynamically configured according to the food cold chain transportation service network model based on the solitarywave; and S3, robust optimization of the food cold chain transportation service network is performed based on the extension theory. Compared with the methods in the prior art, implementation of the food cold chain transportation service network robust optimization method has the following beneficial effects: the food safety can be effectively guaranteed and the deterioration loss of the food because of transportation can be reduced.

A contrast similar expansion method of product function is characterized by provided with a known product knowledge base storing a function tree and bounded relation information of known product and building an original function tree and bounded relation information of novel product; on the base of combining a similar theory and an extension theory and according to the specific needs of product designers, any function node of the original function tree of novel product is compared with the product functions in the known knowledge base; according to a certain rule, the novel functions are appended to the product function tree to generate a novel product function tree. Compared with the original product function tree, the novel product function tree is richer; therefore, the possibility of obtaining an innovation function is greatly increased. The invention gives full play to the guiding function of designers in the process of product design and makes designers release from the complicated and mechanical work of data comparison, thereby providing a design method which has high freedom, strong deduction capacity and aims at innovation of product function.

The invention discloses a power outage influence comprehensive evaluation method based on improved extension theory. The method comprises three loops: a power outage influence evaluation matter element setting, association matrix computation and power outage influence comprehensive evaluation; a fuzzy set in an extension set theory is combined with an analytic hierarchy process to form a judgmentmatrix for representing the index relative importance by utilizing multiple experts, and the weight value of each index is computed according to the judgment matrix, thereby forming the comprehensivejudgment on the influence condition of the power outage event; and then, the comprehensive judgment matrix in the method is obtained by performing equal-weight summation through the judgment matrixesof various experts, if the cognitive level of individual expert is much different from other expert or the consistency problem is existent between the judgment matrixes, the consistency of the comprehensive judgment matrix can be influenced, and the reasonable weight value is hard to obtain.

The invention discloses an association rule mining method based on the concept lattice extension theory. The method includes: extracting objects, attributes and attribute values in a data set according to concerned relations, building the formal context of a target data set, and using the basic concept lattice building theory to perform analysis so as to obtain concept nodes; judging elements on concept lattices, and calculating to obtain an irreducible element set on the concept lattice L (FC); reducing association rules according to set support degree and credibility to further increase algorithm calculation efficiency; calculating method complexity to indicate calculation quantity. The method has the advantages that the narrow-sense concept lattice theory is extended on the basis of traditional-form conceptual analysis for extracting association rules, and data set object differences are paid attention to while object similarity is explored; meanwhile, the corresponding attribute and rule reduction algorithm is used to guarantee the calculation efficiency of the method, and the method is fast, stable and efficient.

The invention belongs to the technical field of material mechanics, and discloses a method for obtaining material macroscopic three-dimensional equivalent attribute. The method for obtaining material macroscopic three-dimensional equivalent attribute comprises the following steps of (1) establishing a double-scale coordinate system used for describing the material and the microstructure, and constructing a material macroscopic equivalent attribute model based on a progressive extension theory; (2) constructing a periodic boundary model of a three dimensional microstructure; (3) establishing a periodic constraint relation of the three dimensional microstructure through finite element analysis; (4) establishing a linear elasticity equilibrium equation of the three dimensional microstructure based on the periodic constraint relation, and obtaining a displacement field of the microstructure according to the linear elasticity equilibrium equation; and (5) solving unit strain energy based on finite element analysis and the displacement field of the microstructure, and obtaining the material macroscopic three-dimensional equivalent attribute. According to the invention, unit interactive energy is introduced in finite element analysis, a equivalence relation between the total strain energy of the microstructure under the unit test strain and the material attribute is established, and the material attribute is efficiently obtained.

The invention relates to a power grid operation efficiency index assessment and safe production KPI continuous optimization method, and belongs to the field of power grids. The method comprises the following steps: S1, constructing a power grid operation KPI index system; S2, analyzing the KPI index correlation of the operation of the power system; And S3, analyzing a power grid system operation efficiency assessment method. The invention provides a scheduling operation KPI analysis method using an extension theory and correlation analysis. An extension model of the KPI indexes is established,divergence analysis, correlation analysis, inclusion analysis and other means provided by the extension theory are used for forming an extension method of the KPI indexes, then redundant indexes arescreened and removed through correlation analysis, and power grid safe production KPI is optimized.

The invention discloses a water-rich evaluation method of coal seam roof sandstone based on an improved gray extension correlation method, which comprises the following steps: selection of evaluationfactors and classification of water-rich grade; establishment of the evaluation model based on the improved grey extension correlation method; result evaluation and verification. The water-rich evaluation method of coal seam roof sandstone based on an improved gray extension correlation method has the advantages that the factors affecting the water-rich property of roof sandstone are selected bygrey relational analysis, and based on the extension theory, the shortcomings of the evaluation factors subjectively selected are overcome; a model is established for evaluation through a quantitativeand qualitative method, the prediction result is reliable and reasonable; the method has certain novelty, and the method is easy to understand and convenient to operate, and provides a new method andidea for evaluating the rich water content of the roof sandstone.