41 results about "Matter element model" 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 probability whole life cycle cost-based power transformer performance evaluation method, which mainly comprises the steps: establishing a whole life cycle cost model of a power transformer; estimating a probability distribution function of the whole life cycle cost of the power transformer; quantitatively processing qualitative indicators; processing data in a standardized way; processing the data in a dimensionless way; evaluating an alternative scheme by using a matter-element model; determine an optimal scheme. According to the probability whole life cycle cost-based power transformer performance comprehensive evaluation method, the probability whole life cycle cost model is constructed by introducing the statistical theory, the cost parameter uncertainty is improved, the theory of matter-element is adopted to assess the alternative scheme, and thus the optimal scheme is more reasonable. The invention also discloses a probability whole life cycle cost-based power transformer performance comprehensive evaluation method, the reliability, technology advancement, serviceability and environmental impact indicators are increased, the efficient combination of reliability of the power transformer and reliability is realized, the utilization rate of the transformer is enhanced, and the power grid assets management level is improved.

The invention relates to a new method for evaluating coal seam bottom water bursting. The method comprises the following steps: 1. collecting, extracting, processing and quantizing the data of the many factors of coal seam bottom water bursting; 2. using the ring theory and technical method and the extension method to determine the matter element model of coal seam bottom water bursting 3. determining the classical domain model of the bottom water bursting matter element; 4. determining the joint domain of the bottom water bursting matter element; 5. combining geological data and hydrogeological data information according to the mass observation data of the mine shaft to obtain the matter element to be evaluated, namely the various datasets of a sampling point; 6. calculating the association degree of the matter element to be evaluated in different categories; 7. determining the weighting coefficient of each main control factor of coal seam bottom water bursting; 8. calculating the association degree of the matter element to be evaluated in different safety levels; and 9. determining the bottom water bursting danger level of each matter element to be evaluated, and finally performing scientific regionalization, prediction and evaluation to the danger of coal seam bottom water bursting.

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 relates to a river section degradation evaluation method, which effectively solves the problems that the evaluation excessively depends on data, the compatibility is complicated and the accuracy and efficiency of the evaluation are affected. The method comprises the following steps: establishing river section degradation evaluation elements and indexes, performing in-situ monitoring, carrying out water quality chemical index analysis and biological authentication for a collected sample, determining a weight of criterion layer evaluation elements for the river degradation by utilizing the level analysis characteristic value method, determining a sub-weight for each representative evaluation index of the criterion layer evaluation elements by utilizing a variance method, and obtaining an absolute weight of each index by considering the weight of the criterion layer evaluation elements; evaluating the river section degradation situation according to each evaluation index absolute weight and a matter-element model, calculating a correlation function and correlation degree, and obtaining the degradation degree of the river section according to the evaluation standard. The method is novel and unique, easy to operate and use, good in effect and capable of accurately evaluating the river section degradation and instructing the river governing and ecological restoration.

The invention discloses a method for predicting workpiece machining energy consumption based on geometrical characteristics. The method comprises the steps that a workpiece CAD model is split to establish a characteristic tree according to geometrical characteristic information integrated in the CAD model and geometrical characteristic categories and a hierarchical relation of the geometrical characteristic categories are expressed through the characteristic tree; a workpiece geometrical characteristic matter-element model is established according to a matter-element method, the geometrical characteristics and a machining mode of a workpiece are extracted from the matter-element model, a mapping relation is established, a workpiece machining energy consumption model based on the geometrical characteristics is established with the combination of the energy consumption characteristics of energy consumption components of a machine tool in the machining process, and operation parameters corresponding to the energy consumption components of the numerical control machine are obtained by analyzing an NC code of the geometrical characteristics; parameter information is substituted into the energy consumption model, an energy consumption value for machining of the geometrical characteristics is calculated, and the overall energy consumption in the workpiece machining process is obtained by summation of energy consumption of the geometrical characteristics. The method is conducted according to the energy consumption property of the geometrical characteristics of the workpiece, and energy consumption prediction in the workpiece machining process can be conducted according to the split geometrical characteristics.

The invention discloses a method for monitoring the running state of a high-speed train gear box and belongs to the field of state monitoring of gear boxes. The method includes the following steps that vibration acceleration sensors are arranged in the X direction, the Y direction and the Z direction of the gear box and used for acquiring vibration acceleration signals in all direction of the gearbox; wavelet energy of the vibration acceleration signals on each frequency band serves as characteristic parameters of the running state of the gear box; according to historical data generated when the gear box runs normally, a characteristic parameter sample training database is generated; classical field matter-element models and joint field matter-element models in all the vibration directions are built when the gearbox runs normally; classical fields of characteristic parameters of the matter-element models in all the vibration directions are optimized and determined, a matter-element model of the current running state of the gearbox is built, the comprehensive correlation degree between the current running state and a normal running state is calculated, and whether the current gearbox normally runs or not is judged. The method for quantitatively and qualitatively judging the running state of the gear box is provided, and a basis is provided for monitoring the state of the gearbox.

The present invention discloses a method for evaluating the gas environment of the open coal mine, and belongs to the technical field of coal mining engineering. The method comprises: establishing an extension matter-element model of the green degree for the to-be-evaluated gas environment of the open coal mine; carrying out normalization on a definition domain of each evaluation index; calculating the comprehensive weight of each evaluation index by using the analytic hierarchy process and the entropy weight method; and according to the comprehensive weight and correlation degree of each evaluation index, determining the green degree evaluation grade and the fluctuation trend of the gas environment, and formulating a follow-up mining and treatment scheme for the to-be-evaluated gas environment of the open coal mine. According to the method disclosed by the present invention, the extension matter-element model is free from the restrictions of the kinds and the amount of the index, so that coexisting qualitative and quantitative problems are solved; the analytic hierarchy process and the entropy weight method are combined by using the game theory to carry out weight assignment, so that not only differences of the mines are taken into account to carry out reasonable regulation, but also objectivity and rationality of the weight are ensured; and the method can evaluate the design level of the open mines, and guides the mine design units and mine enterprises to implement green mining from the beginning of development of the mine field.

The invention relates to a seawall safety evaluation method and belongs to the technical field of seawall safety evaluation. The method comprises the following steps that a seawall engineering safety evaluation index system and an evaluation order are established; a composite fuzzy matter element of the seawall evaluation system is determined; a membership degree variable fuzzy set-matter element model is established; an entropy combination weight method is used for determining seawall engineering safety evaluation index weight, namely an entropy combination weight value is determined; a hamming close degree is used for determining a close degree composite fuzzy matter element of seawall safety evaluation; comprehensive evaluation is carried out on seawall engineering safety. The seawall safety evaluation method is explored from a new aspect, case study is carried out, and the feasibility is determined.

The invention relates to a power distribution network three-dimensional simulation training credibility evaluation method based on a cloud matter-element model. A correlation function of a matter-element model is expressed with a normal cloud model with randomness and fuzziness considered, the relation between various simulation training reliability evaluation indexes and the evaluation intervals of various evaluation result levels is quantified with the correlation function, conversion between quantitative calculation and the qualitative concept is achieved, and finally a power distribution network three-dimensional simulation training credibility evaluation result is worked out according to the maximum membership degree principle. Finally, with a power outage cable replacement subsystem as the embodiment, the credibility of the power outage cable replacement subsystem is evaluated, which shows the superiority and feasibility of the cloud matter-element algorithm. The cloud matter-element algorithm with the cloud model and the matter-element model combined is adopted to evaluate the credibility of power distribution network training simulation, wherein the correlation function of the matter-element model is expressed with the normal cloud model, expert scoring uncertainty is considered, and qualitative index quantification is achieved.

The invention discloses a method for evaluating the economic performance of a power plant. The method includes the first step of collecting scoring data of economic performance indexes, the second step of using the economic performance of the power plant as a matter-element to be evaluated, converting the indexes to characteristics of the matter-element to be evaluated and using a matter-element model to describe the economic performance of the power plant, the third step of establishing a classic domain model of the economic performance matter-element to describe demand intervals of the economic performance indexes with respect to quantity value ranges of various category levels, the fourth step of establishing a section domain model of the economic performance matter-element to describe scoring ranges of the economic performance indexes, the fifth step of calculating the correlation degrees between the economic performance indexes and the various category levels according to a primary correlation function, the sixth step of determining weighting coefficients of the economic performance indexes, and the seventh step of calculating the correlation degrees between the economic performance and the various category levels through a weighting summation mode, and judging the level that the economic performance of the power plant belongs to according to the maximum value of the correlation degrees. Through the method, the economic performance of the power plant can be scientifically evaluated.

The present invention discloses a multi-level matter-element entropy weight-based congestion hotspot airspace sector recognition method and belongs to the air traffic management field. The method includes the following steps that: a three-level airspace sector congestion degree evaluation index system including a target level, a dimension level and an index level is established, the calculation or sampling method of indexes is established, evaluation indexes are calculated on the basis of evaluation sector sample selection, and index level threshold judgment is performed according to index numerical value distribution; a multi-level matter-element model is established, association degrees and index weights are calculated, a sector congestion dimension level is judged; and the calculation of a sector congestion dimension weight is determined on the basis of an entropy weight method, and a congestion hotspot airspace sector is recognized. According to the method of the invention, a sector congestion degree is comprehensively judged from a plurality of dimensions, technical support is provided for the research and development of control auxiliary decision-making system tools, and references are also provided for airspace planning, sector adjustment and the like.

The invention belongs to the technical field of energy-saving building design, and discloses a system and method for processing energy-saving building design information by adopting digital simulation, and the system comprises an environment data collection module, a power supply module, a central control module, an energy consumption calculation module, a parameter simulation module, an energy-saving report generation module, an energy-saving assessment module, and a display module. According to the invention, the energy consumption calculation module carries out energy consumption identification based on the grouped buildings, so that the buildings with excessive energy consumption and the energy-saving buildings can be identified more accurately, the energy consumption of urban buildings can be reduced, and the targeting property of energy-saving work can be improved; meanwhile, the system is feasible and convenient to calculate through an energy-saving evaluation module, evaluationindexes and standards can be flexibly adjusted, computerization is convenient to achieve, and the energy-saving level of a building can be visually and accurately reflected by establishing a matter element model of the evaluation indexes, describing the characteristics of observable objects and expressing an evaluation result through quantitative numerical values.

The invention provides an operation quality evaluation method for a power optical transmission network. The method comprises the steps of S1, determining operation quality evaluation indicators of the power optical transmission network; S2, establishing a matter element model for quality evaluation; and S3, calculating the operation quality of the optical transmission network. According to the evaluation method designed by the invention, the operation states of various indicators of an evaluation object and the integrated operation level of the network can be visually reflected.

The invention discloses a method for assessment of the operating state of a turbonator and relates to the technical field of electric generator state assessment. The method comprises the steps of acquiring operating state index data, taking operating state as a matter element to be assessed, converting each index into the characteristic of the matter element to be assessed, describing the operating state of the turbonator with a matter element model, establishing a matter element classical field model so as to describe the demand section of each operating state index about the magnitude range of each operating state grade, building a matter element joint domain model so as to describe the maximum value range of each index, calculating the correlation degree between each index of the matter element to be assessed and the operating state grades, determining the weight coefficient of each index of the matter element to be assessed, calculating the correlation degree between the matter element to be assessed and different operating state grades, and judging the grade of the operating state of the turbonator. By the adoption of the method, assessment and horizontal comparison of the operating state of the turbonator are achieved, a basis can be provided for reasonable arrangement of maintenance of power generation enterprises, and reliable operation of electric generators is guaranteed.

The invention discloses an ore rock blasting classification method based on the fractal theory. The method includes the steps that the fractal dimension of rock mass joints is obtained through the fractal theory; specific factors influencing ore rock blastability are analyzed through the theory of blasting and mechanism, the wave impedance, tensile strength, compressive strength, (rock mass joint) fractal dimensions are selected to serve as criterion indexes of blasting classification on this basis, the rock blastability is divided into seven classes, and the weight coefficients of all the indexes are determined; and at last, the extension theory is combined with rock mass blasting evaluation, the diversity and complexity of rock mass blastability influence factors are considered, the parameters capable of reflecting the rock mass integration engineering characteristic are selected from the aspect of practical engineering for evaluation, and a rock mass blasting classification matter-element model is established on the basis of the matter-element theory, extension set theory and correlation function calculation. The joint fissure fractal dimension is used as the rock mass blasting classification index, the geologic features of rock mass are known from the macroscopic scale, and the rock mass integrity can achieve quantitative description. Practical application results show that using the rock mass joint quantitative description as the blasting evaluation index is reliable and effective. The method is of important practical significance to improving the blasting effect and reducing the blasting cost.

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 relates to evaluation of a fish growth speed by a fuzzy matter-element model method according to computer programming and aims to overcome the defects of inconsistent standard, poor quantitative feature, low efficiency and the like of the conventional fish growth speed evaluation method. Technology and device for automatic storage and processing of classification data are provided. The technology has the characteristics of quantitative evaluation, uniform standard and wide application range and plays an important practical role in fishing management on lakes and rivers.

The invention discloses a dry type transformer thermal fault diagnosis method and system. The method comprises the following steps: acquiring infrared images of a dry type transformer; acquiring a surface three-dimensional temperature spectrum of the dry type transformer; establishing a surface three-dimensional temperature field distribution database of the dry type transformer under a normal operation condition and a typical fault condition; calculating by using a grey correlation analysis method so as to obtain a weight function of extendable gray correlation analysis of the dry type transformer; establishing a fault meta-model of the dry type transformer and a present article meta-model of the dry type transformer; judging whether the dry type transformer has a typical fault or not according to the weight function of extendable gray correlation analysis of the dry type transformer, and if the dry type transformer has the typical fault, judging the type of the fault; and displayingthe type of the fault and fault alarming information. By adopting the dry type transformer thermal fault diagnosis method and the system, dry type transformer thermal fault diagnosis is carried out onthe basis of infrared three-dimensional temperature spectrums and extendable gray correlation analysis methods, and the fault diagnosis efficiency and accuracy can be improved.

The invention discloses an industrial mechanism evaluation method and system. The method comprises the following steps that the score data of industrial indicators are acquired; industrial economic performance acts as a matter-element to be evaluated, all the indicators are converted into the features of the matter-element to be evaluated, and industrial economic performance is described by a matter-element model; a classical domain model of the matter-element of economic performance is established so as to describe the demand interval of each economic performance indicator about the value range of each class level; a joint domain model of the matter-element of economic performance is established so as to describe the score range of each economic performance indicator; degree of correlation of each economic performance indicator corresponding to each class level is calculated according to an elementary correlation function; the weight coefficient of each economic performance indicator is determined; and degree of correlation of economic performance for different class levels is calculated by adopting a weighted summation mode, and the level to which the industry belongs is judged according to the maximum value of degree of correlation. With application of the method, the industrial structure can be scientifically evaluated, and a reliable reference basis can be provided for urban economic decisions.

The invention discloses an electric power energy saving integrated assessment method of a charge source combined peak regulating plan, which comprises the steps of establishing an electric power energy saving grade standard of the charge source combined peak regulating plan, and the standard comprises a grading standard value and a qualified real value; determining an electric power energy saving effect matter-element model that comprises an electric power energy saving classic domain matter-element, a segment field matter-element, and a matter-element matrix to be assessed; determining an integrated benefit index weight based on cooperate gaming, which refers to the weights of the order relation analysis method, the entropy method and the statistics average method; and determining an electric power energy saving association value matrix of electric power energy saving of the charge source combined peak regulating plan, giving the peak regulating plan basis and providing guidance for running the power grid.

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.

A comprehensive evaluation method for whole-process fire control of prefabricated substations. It includes establishing the whole process fire control index system of the prefabricated substation; determining the entropy weight of each evaluation index subsystem; constructing the extension matter-element model of the prefabricated substation whole process fire control system; Evaluation index correlation degree; calculate the comprehensive evaluation index correlation degree of each secondary evaluation index subsystem; evaluate the fire control system level of the whole process of the prefabricated substation and other steps. Advantages of the present invention: 1) The complex process is assembled into a controllable whole, which is convenient for evaluating the whole life cycle of the prefabricated substation. 2) The qualitative indicators are quantified by scientific measurement methods to make the evaluation methods more real and effective. 3) At this stage, there is no mature and applicable evaluation method related to fire protection. The present invention provides a way of thinking, which is convenient for the benchmark evaluation of each prefabricated substation in the future.

The invention discloses an early warming method for warning condition diagnosis and includes the following steps: (1) a standard model comprises warning condition level, warning omen index and range early warming accident diagnosis of the index; (2) according to the standard model, three essential matter elements (i.e. a possible warning level aggregate, a warning omen aggregate corresponding to warning condition and corresponding warning omen range) are determined; (3) according to the standard model, a standard warning condition matter element model is set up with classical domain and joint domain determined; (4) a current warning condition matter element model which describes the status of warning condition is set up; (5) the correlation functional value of the warning condition to be diagnosed is calculated; (6) weighing coefficient is determined; (7) correlation degree of the warning omen to be diagnosed and the warning omen of each warning level is analyzed; (8) the diagnosis result is determined and output from an outlet. According to complex warning omen index and through the calculation of correlation degree, the invention judges warning condition and determines warning degree; moreover, the method analyzes the controllable degree through the correlation functional value, thereby providing an effective research method for early warming management from a quantitative angle.

The invention discloses a waste machine tool remanufacturing innovative design method based on TRIZ and an expandable diverging tree. The waste machine tool remanufacturing innovative design method includes the steps that firstly, a formal matter-element model of a waste machine tool remanufacturing design target structure is built, by determining types of elements impeding waste machine tool innovative design, a matter-field model or a contradiction matrix is adopted to obtain innovation principles, structure innovation design is conducted on the formal matter-element model of the target structure according to the innovation principles, and then the expandable diverging tree comprising a number of candidate matter elements is formed; then, an expandable correlation function based on lateral distances and place values is introduced to represent correlation degrees between the candidate matter elements and expected matter elements, then, priority-degree values of the candidate matter elements are obtained through an expandable priority-degree evaluating method, and finally, an optimal candidate matter element is decided. By the adoption of the waste machine tool remanufacturing innovative design method based on the TRIZ and the expandable diverging tree, limits on design freedom in the structure, functions, materials and the like of an original waste machine tool can be effectively eliminated, and therefore a manufactured machine tool has higher market competitiveness and customer satisfaction.

The invention relates to a new method for evaluating coal seam bottom water bursting. The method comprises the following steps: 1. collecting, extracting, processing and quantizing the data of the many factors of coal seam bottom water bursting; 2. using the ring theory and technical method and the extension method to determine the matter element model of coal seam bottom water bursting 3. determining the classical domain model of the bottom water bursting matter element; 4. determining the joint domain of the bottom water bursting matter element; 5. combining geological data and hydrogeological data information according to the mass observation data of the mine shaft to obtain the matter element to be evaluated, namely the various datasets of a sampling point; 6. calculating the association degree of the matter element to be evaluated in different categories; 7. determining the weighting coefficient of each main control factor of coal seam bottom water bursting; 8. calculating the association degree of the matter element to be evaluated in different safety levels; and 9. determining the bottom water bursting danger level of each matter element to be evaluated, and finally performing scientific regionalization, prediction and evaluation to the danger of coal seam bottom water bursting.

The invention relates to a truck intersection running safety evaluation method based on a matter element model. The truck intersection running safety evaluation method comprises the steps of: firstlyanalyzing influence on safety of an intersection, and determining influencing factors for sustainable development levels of intersection truck traffic management; secondly, establishing a relevant evaluation system; establishing a matter element model for intersection truck safety evaluation by utilizing the matter element model, an extension set and a correlation function theory in extenics on the basis of considering truck traffic characteristics; and making comprehensive evaluation of truck running safety of urban road intersections through comprehensive correlation calculation. By analyzing relevant cases, the truck intersection running safety evaluation method can reflect the safety levels of trucks running at intersections exactly, and is an intersection safety evaluation method in line with China's road conditions.

The invention discloses a matter-element model evaluation method for reinforcing steel corrosion in reinforced concrete based on an ideal point method, comprising the following steps: constructing anevaluation system for reinforcing steel corrosion; performing Classical domain, section domain and matter-element to be evaluated of steel corrosion evaluation are determined. Determineing the magnitude range of each factor, find out the ideal critical point of each factor, determining the ideal control region of each factor; Obtaining the actual detection value of the influencing factor; performing Standardized treatment of influencing factors; Determining the weight coefficient; Ideal point method is used to evaluate the corrosion of reinforcing steel bar in reinforced concrete as a whole. When determining the weight coefficient, the invention reduces the human factor, and determines the weight according to the contribution rate of each influence factor to the steel corrosion.

The invention discloses a power transformer comprehensive state evaluation method based on an evidence cloud matter-element model, and the method comprises the steps: determining the evaluation index and state grade division of a transformer, and constructing an evaluation index system; constructing a state evaluation basic framework by using the cloud matter-element model, calculating all level cloud feature parameters of each index, and establishing a level normal cloud model; acquiring test data of each index of the transformer, and calculating the correlation degree between each index in a test item and the level normal cloud model; determining the comprehensive weight of the index by using a subjective and objective combination weight method, and calculating the comprehensive correlation degree between the test item and each level of normal cloud model; fusing the comprehensive correlation degrees of the test items to obtain the overall grade correlation degree of the transformer; and calculating an asymmetric close degree and performing decision judgment to obtain a final evaluation result. The method is applied to the technical field of power transformer state evaluation, the accuracy of power transformer state evaluation can be improved, and the applicability can be further expanded.

The invention relates to an oil paper insulation state diagnosis method for a return voltage and the depolarization current mixed characteristic quantity, and the method comprises the steps of building a transformer matter element model according to the time domain dielectric spectrum data obtained through the on-site testing of a plurality of oil paper insulation transformers and different characteristic quantities capable of reflecting an insulation state; determining a weight coefficient of each layer of index of the transformer by adopting an extension analytic hierarchy process; then, onthe basis of a large amount of actual measurement data and a result obtained through calculation and analysis, determining a classic domain and a node domain of four insulation states of the transformer; and finally, determining the correlation function values of the to-be-diagnosed transformer about the four insulation states through the correlation function, thereby determining the insulation level of the to-be-diagnosed transformer. According to the present invention, the quantitative diagnosis of the oil paper insulation state can be more effectively achieved, and the insulation aging andthe like can be deeply studied.