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36 results about "Theory of evidence" patented technology
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A theory is a formal explanation of the relationship among a set of observations. The observations provide evidence for the theory. Pieces of evidence support a theory in the way that legs support a table or columns support the roof of a building. Scientists develop theories to explain natural phenomena.
Uncertain software credibility assessment method based on evidence theory
InactiveCN101763304AGuaranteed accuracyGuaranteed uncertaintySoftware testing/debuggingUtility theoryIndex system
The invention discloses an uncertain software credibility assessment method based on an evidence theory. The method comprises the following steps that: (1) on the basis of a utility theory and the evidence theory, a software credibility assessment process requesting driving is defined and critical scientific problems and study difficulties to be solved are demonstrated clearly in credibility assessment reasoning process; (2) the standard formal definition of a multiscale quantitative index system TEIS based on multidimensional credible attribute is given; (3) ignorance space in an original cautious connection rule is differentiated and is led into an association coefficient based on discount and relative weight and a novel evidence composite rule-ECCR under relative belief background is defined in order to blend uncertain information; and (4) in accordance with complex hierarchy characteristic among credible indexes, a software credibility assessment reasoning module relative to a consideration information source is established, the uncertain software credibility assessment reasoning module is structured and solved according to the evidence theory and ECCR is used to solve the information fusion problem under the relative background of assessment information source.
Owner:HEFEI UNIV OF TECH
Method for mechanical fault diagnosis based on information entropies and evidence theory
ActiveCN105373700AImprove integrityImprove accuracySpecial data processing applicationsInformaticsFeature extractionAlgorithm
The invention relates to a method for mechanical fault diagnosis based on information entropies and an evidence theory. The method comprises the following steps of step 1 adopting four typical mechanical fault types to construct a recognition framework; step 2 taking four information entropies of a vibration signal as fault characteristics; step 3 computing to obtain fault characteristic reference values of the four typical mechanical fault types through analogue simulation; step 4 obtaining a fault vibration signal received by a sensor, and computing to obtain fault characteristic values thereof through the information entropies; step 5 utilizing a fault characteristic extraction method based on weighted information entropies to obtain sensor vibration signals to be distributed to basic probability assignment functions of the four typical mechanical fault types; step 6 utilizing an improved evidence synthesizing method based on a conflict between revised evidences to carry out evidence synthesizing on the obtained basic probability assignment functions in order to obtain a synthesized result; and step 7 obtaining a final result for fault diagnosis according to a decision rule.
Owner:HARBIN ENG UNIV
Network security situation evaluation method and system
InactiveCN101951329AAddress limitations that do not applyAbility to Accurately Delineate HazardsData switching networksApplicability domainNetworked system
The invention discloses a network security situation evaluation method and a network security situation evaluation system for improving the application range and accuracy of network security situation evaluation. The method comprises: classifying all security events in a preset time period according to attack type to form at least one event collection; accumulating the attack risk grades of the security events in each event collection respectively, and determining the accumulated values as the rise degree values of the event collections; substituting the risk degree values of the event collections as independent variables into empirical functions fi() corresponding to the event collections to obtain the values of the credibility of the fact that the event collections render a network in an unsecure state; and using the values of the credibility of the event collections as weights of evidences, combining the weights of evidences by using a synthesis rule of the theory of evidence, and obtaining the credibility of the fact that the network is in an unsecure state in the preset time period. Thus, the technical scheme realizes the quantitative evaluation of the security situation of the whole network and improves the application range and accuracy of the network security situation evaluation.
Owner:北京系统工程研究所
Method for comprehensively evaluating insulation status of gas insulated switchgear (GIS)
ActiveCN105512962AImprove accuracyIncrease credibilityData processing applicationsComputer aided designMathematical modelEngineering
The invention belongs to the technical field of online monitoring and evaluation of insulation statuses of a gas insulated switchgear (GIS), and particularly relates to a method for comprehensively evaluating the insulation status of the gas insulated switchgear (GIS). The method mainly comprises the steps of GIS insulation status evaluation index system framework construction, GIS insulation evaluation index weight calculation, GIS insulation status partition based on a fuzzy theory, and multi-source status evaluation mathematical model fusion based on an evidence theory. The method involves evaluation indexes, is comprehensive and reliable in evaluation model, has simple and clear evaluation results, and can be popularized and applied to actual engineering fields. In consideration of limited running condition of the GIS, a comprehensive index system reflecting the insulation status of equipment can be constructed by using complementary information under different monitoring conditions, and the fuzzy theory and a data fusing theory are introduced in conjunction with expert experience, so that comprehensive evaluation of the insulation status of the GIS equipment is realized, and a comprehensive and reliable scheme is provided for multi-source information evaluation of the same type of equipment.
Owner:WUHAN UNIV +1
High-voltage circuit breaker mechanical fault diagnosis method based on multi-data fusion technology
ActiveCN105956290AAccurate Mechanical Fault DiagnosisImprove securityGeometric CADSpecial data processing applicationsFeature vectorDiagnosis methods
The invention discloses a high-voltage circuit breaker mechanical fault diagnosis method based on a multi-data fusion technology. A plurality of sensors are mounted on a high-voltage circuit breaker, fault information is acquired by utilizing a data processing algorithm, and by combining typical fault signal feature vectors stored in a fault database, membership degrees that a circuit breaker state belongs to various different typical faults are determined; by introducing a generalized information entropy concept, evidence reliability of each sensor is obtained so as to obtain weighted evidences; and finally, a D-S evidence theory combination rule is adopted to complete fault fusion so as to obtain a decision diagnosis result. According to the high-voltage circuit breaker mechanical fault diagnosis method disclosed by the invention, a weighted evidence theory and the multi-data fusion technology are adopted, not only a result of obtaining each fault membership degree is considered, but also reliability of each evidence is considered, and accuracy of system diagnosis is effectively improved.
Owner:STATE GRID JIANGSU ELECTRIC POWER CO LTD MAINTENANCE BRANCH +2
Evidence theory based Chinese microblog credibility evaluation method
The invention belongs to the field of information retrieval and evaluation and particularly relates to an evidence theory based Chinese microblog credibility evaluation method. Started with intrinsic characteristics of Chinese microblogs, a multidimensional evidence based microblog credibility evaluation method used for integrating three heterogeneous dimensions is provided after measurability and practical tasks of the intrinsic characteristics are taken into account, credibility measuring indexes of Chinese microblog information are systematically ordered and are classified into three high-level dimensions including text information, information sources and information dissemination. Compared with an evaluation method for a single characteristic of web texts or interconnection relation in the prior art, the evidence theory based Chinese microblog credibility evaluation method is more comprehensive and reasonable, is capable of preferring to reliable sources and spreading information widely under the same query condition.
Owner:长沙柳腾科技有限公司
Fault diagnosis method based on principal component analysis and D-S evidence theory
InactiveCN104537220AOvercoming non-uniquenessAvoiding Combinatorial Explosion ProblemsSpecial data processing applicationsKernel principal component analysisFeature vector
The invention relates to a fault diagnosis method based on principal component analysis and a D-S evidence theory. According to the method, practical operation data obtained from a sensor network are subjected to fault detecting through a principal component analysis method at a first step, faults may happen, then under each principal component model, measured data are subjected to principal component analysis, corresponding low-dimension feature vectors tki (i = 0, 1, ..., n) are obtained, the low-dimension feature vectors are subjected to recognition of a recognizer, the recognition results of the recognizer are used as an evidence of fault information in the evidence theory, an evidence combination rule is used for carrying out fusion computing on the evidence information, the credit assignment section of each fault is obtained, and the fact that corresponding faults happen can be judged according to the maximum credibility principle.
Owner:NORTH CHINA ELECTRIC POWER UNIV (BAODING)
PQDS positioning method based on evidence theory
The invention relates to a PQDS (Power Quality Disturbance Source) positioning method based on an evidence fusion theory. The method comprises the following steps of: determining a system covering matrix A<L*N> and a direction judging matrix B<v, N*1> realized according to two kinds of judging evidences including disturbance power and disturbance energy; building a reliability function of each influence factor of a characterization disturbance direction judging result; carrying out fusion processing on uncertainty disturbance direction judging information obtained by two kinds of judging evidences on the basis of D-S evidences; carrying out PQDS positioning decision making on the basis of the fused disturbance direction judging matrix and a matrix algorithm; and carrying out PQDS positioning result credibility evaluation on the basis of coincidence indexes among a plurality of evidence sources.
Owner:STATE GRID ZHEJIANG HANGZHOU XIAOSHAN POWER SUPPLY CO +1
Airport runway allocation decision method based on fuzzy analytic hierarchy process and evidence theory
The invention discloses an airport runway allocation decision method based on a fuzzy analytic hierarchy process and an evidence theory, belonging to the technical field of runway distribution. The method includes analyzing factors influencing the distribution of the approach and departure runways, and establishing an analytic hierarchy model; according to the specific situation of the current runway distribution problem, defining a triangular fuzzy pairwise comparison matrix of the hierarchical model; constructing the evidences given by different controllers and uncertainty by means of the triangular fuzzy pairwise comparison matrix and the consistency information; comprehensively considering the conflict between evidences and the prior reliability of the controllers, and fusing differentevidences by using an evidence theory; calculating a trust interval of the fusion result and making a decision; finally, comparing the decision result of each decision maker with an execution result,and updating the prior reliability of the controllers for the next runway allocation decision. According to the method, the subjective factors in the runway distribution process are fully considered,and the subjective factors are converted into the uncertainty of the evidence for decision, so that the runway distribution result is more consistent with reality.
Owner:NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
DS evidence theory-based weighted fusion fault diagnosis method
ActiveCN108446458AImplement fault diagnosisSolve the representation problemDesign optimisation/simulationSpecial data processing applicationsProbitFault model
The invention provides a fault diagnosis method on the basis of an evidence theory, and relates to the field of fault diagnosis. The method comprises the following steps of: establishing a triangularfuzzy model for each fault; establishing triangular fuzzy models for to-be-tested data; generating basic probability distribution functions according to overlapping degrees between a to-be-tested models and fault models; generating feature weights according to similarities between the fault models; and carrying out weighted fusion on the basic probability distribution functions under various features by using an evidence theory combination rule and the feature weights so as to realize fault diagnosis. According to a basic probability distribution function generation method, processing for fuzzy information is well realized; according a weighted fusion method for feature weights, relatively good fusion effect is obtained; and according to the fault diagnosis method, fault diagnosis of motorrotors can be realized.
Owner:NORTHWESTERN POLYTECHNICAL UNIV
Process for controlling a mobile device
InactiveUS20160370774A1Reduce fatiguePreventing undesirable motionComputer controlWheelchairs/patient conveyanceCommand and controlVision based
A method of commanding and controlling a mobile apparatus (wheelchair) based on the assimilation of visual parameter and brain activity data includes validating a desired position of gaze (the iris) in the environment using the physiological brain characteristics of the potentials mentioned in P300 and SSVEP. These supply a control unit and are used to assess the user's state of mental fatigue using an algorithm based on the theory of evidence. A unit detecting the user's emotional state is also implemented using the alpha and beta waves from the parietal, central and frontal region of the cerebral cortex and the user's heart rhythm. The assimilation between these two units makes it possible to define a mode of operation in real time: manual, semi-autonomous or autonomous, which corresponds to the user's emotional or fatigue states as well as the characterization of the environment (safe path, detection of obstacles, locked situation).
Owner:UNIV DE TOULON
Emitter recognition algorithm based on interval number and evidence theory
InactiveCN103778342AAvoid subjectivitySolving highly subjective problemsSpecial data processing applicationsGoal recognitionRecognition algorithm
The invention discloses an emitter recognition algorithm based on interval number and the evidence theory, and aims at the multi-sensor target recognition problem. According to the algorithm, the interval theory is used for describing uncertainty of parameters of a radiation source, basic probability assignment (BPA) of interval evidence is constructed through weighted similarity, then fusion calculation is performed according to the evidence combination rule, BPA of characteristic parameters of each recognized sensor target and BPA of target characteristic parameters of all recognized sensor targets are obtained sequentially, and finally, target recognition is finished by using self-adaption evidence decision criterion. The emitter recognition algorithm solves the problems that sensor detection uncertain data is difficult to process and subjectivity of BPA forming is high; meanwhile, a recognition method of self-adaption evidence decision is used, a double-threshold structure is based on the BPA, the subjectivity is avoided, and the recognition rate is increased.
Owner:关欣
Evidence theory fault state identification method based on correlation coefficient distance and iterative improvement
ActiveCN112101161ALevel of Conflict EliminationOvercome limitationsMachine bearings testingCharacter and pattern recognitionCorrelation coefficientDistance matrix
The invention discloses an evidence theory fault state identification method based on correlation coefficient distance and iterative improvement, and the method comprises the steps: 1, collecting a data signal of equipment in an operation process through a plurality of sensors, and obtaining a plurality of basic probability assignments of the current operation state of the equipment; 2, calculating the distance between BPAs according to a Correlation coefficient distance and a Spearman correlation coefficient distance, and generating a distance matrix; 3, allocating corresponding weights to evidence bodies based on the distance matrix; 4, performing weighted correction on an original evidence body BPA by utilizing the generated double weights to obtain weighted average evidence; 5, combining the weighted average evidences for n-1 times according to the proposed iterative improved new fusion rule, and obtaining a fusion result. According to the method, the evidence theory combination rule is improved by introducing the idea of iterative improvement while the evidence theory is optimized by utilizing the double-distance function, so that the problem of information conflict is solved,the reliability of fault state recognition is effectively improved, and the fusion convergence speed is increased.
Owner:XI AN JIAOTONG UNIV
Fault diagnosis system based on evidence theory
InactiveCN108761263AAccurate diagnosisComprehensive diagnosisTransformers testingNeural architecturesLED displayTransformer
The invention discloses a fault diagnosis system based on the evidence theory, and the system comprises a sensor acquisition module, a data preprocessing module, a primary diagnosis module, a comprehensive diagnosis module and a result display module. The sensor acquisition module collects data of transformer parameters through a plurality of sensors. The data preprocessing module is used for carrying out the preprocessing of the data, and the primary diagnosis module is used for carrying out the primary diagnosis of a device according to the preprocessed sensor data. The comprehensive diagnosis module uses the evidence theory to carry out the comprehensive diagnosis of the device according to the primary diagnosis result. The result display module uses an LED display to display the faultdiagnosis result in real time, and performs early warning when the device is diagnosed to have a fault. The beneficial effects of the invention are that the system employs the neural network for processing the sensor data after fuzzification to obtain a primary diagnosis result of transformer fault; the system employs the evidence theory for further diagnosing the transformer fault according to the primary diagnosis result, thereby improving the accuracy of the diagnosis result.
Owner:中电华创(苏州)电力技术研究有限公司
Blue-party model credibility evaluation method and system based on evidence theory
PendingCN111368456AOvercoming problems with result output validationAchieve synthesisDesign optimisation/simulationResourcesData transformationEngineering
The invention provides a blue-party model credibility evaluation method and system based on an evidence theory, and the method comprises the steps: M1, converting blue-party model output data Ysi intoevidence theory representation, and recording the evidence theory representation as simulation output; m2, evaluating an estimated value output by an actual system of the blue-party model according to expert experience, and recording the estimated value as reference output; m3, performing evidence synthesis on the simulation outputs and the reference outputs of all the blue-party models; M4, performing consistency measurement on the simulation outputs and the reference outputs by adopting an evidence distance; and M5, performing consistency measurement on the simulation output and the reference output according to the evidence distance, and calculating the final credibility. The blue-party model credibility evaluation method based on the evidence theory provided by the invention comprisesan evidence synthesis method considering the index weight, so that the existing credibility evaluation framework can be utilized to the greatest extent, and the integration of multiple credibility indexes of a complex model is realized.
Owner:SHANGHAI INST OF ELECTROMECHANICAL ENG
Software architecture security evaluation method based on theory of evidence combination
ActiveCN106650945AEasy to calculate objectivelySafety complianceFuzzy logic based systemsLogic circuitsSoftware systemSoftware engineering
The invention discloses a software architecture security evaluation method based on the theory of evidence combination and belongs to the technical field of software security evaluation. The method comprises: firstly constructing the architecture model of a certain software system, performing fuzzy mathematic expression on security elements relating to components; obtaining the transition probability of the components and the transition probability of a running path in the whole system by using a software architecture analysis method; performing security combination on the components by using the Dempster-Shafer (D-S) theory of evidence combination and in combination with the using weight of the software running path to obtain the security level evaluation result of each component, thereby calculating the security level evaluation result of the running path and the security level evaluation result of the system. The method realizes dynamic security analysis and evaluation of the software system by using the bottom-up software engineering analysis method.
Owner:BEIHANG UNIV
Multi-modal identification method for annealing heating process based on D-S evidence theory
ActiveCN111625934AOvercome limitationsImprove generalization abilityDesign optimisation/simulationSpecial data processing applicationsProcess engineeringStrip steel
The invention provides a multi-modal identification method for an annealing heating process based on a D-S evidence theory. The multi-modal identification method comprises the following steps: determining a production operation modal and a key variable when strip steel is heated in a continuous annealing furnace according to a cold-rolled strip steel continuous annealing production process; determining data distribution characteristics of the key variables, and establishing a state detection model of the key variables; based on the D-S evidence theory, adopting a state detection model to carryout state detection on the key variables; and according to the state and a multi-modal identification strategy, identifying the modal of the cold-rolled strip steel in the continuous annealing and heating process. According to the technical scheme provided by the invention, a computer is used for replacing central control personnel to identify the production state of the strip steel during annealing and heating, so that manpower is reduced, and errors caused by subjectivity of manual identification are reduced; the D-S evidence theory is adopted to solve the limitation caused by a confidenceinterval method threshold, and the generalization ability of model application and the detection accuracy of the actual state of a key variable are improved.
Owner:CHINA UNIV OF GEOSCIENCES (WUHAN)
Evidence theory-based electromechanical product simulation model precision improvement method
InactiveCN111753427AReduce test costsReduce uncertaintyDesign optimisation/simulationComplex mathematical operationsAlgorithmStatistical analysis
The invention discloses an evidence theory-based electromechanical product simulation model precision improvement method. The method comprises the following steps: 1, carrying out a small amount of test measurement on an electromechanical product, carrying out statistical analysis on measured response data, and analyzing the measured response data by utilizing an evidence theory; 2, establishing amechanical and electrical product simulation model, obtaining a calculation response, and establishing an objective function for identifying an electromechanical product modeling parameter interval range; 3, further dividing the identified modeling parameter interval into a plurality of sub-intervals, and preliminarily allocating a certain modeling parameter probability to each sub-interval; and4, establishing an objective function for identifying a modeling parameter quantum interval probability value by utilizing the electromechanical product simulation model and the allocated sub-intervalprobability, and identifying accurate probability allocation on the modeling parameter quantum interval through an optimization process. According to the method, the value interval and probability distribution of the modeling parameters can be accurately obtained under the small amount of measurement response, and the precision level of the electromechanical product simulation model is effectively improved.
Owner:HUNAN UNIV +1
Cone crusher fault pre-judgment method
ActiveCN112317109AImprove anti-interference abilityAvoid unreasonable divisionGrain treatmentsFuzzy inferenceAlgorithm
The invention belongs to the field of technical detection, and particularly relates to a cone crusher fault pre-judgment method. The method is characterized in that a fuzzy reasoning method is adopted, so that the anti-interference capability of a fault pre-judgment system is improved, and the false alarm probability and the omission ratio are effectively reduced; in the fuzzification process, a triangular membership function and trapezoidal membership function combination mode is selected as a membership function, so that the phenomenon of unreasonable discourse domain division due to pure using of the triangular membership function is avoided; inference results are fused by adopting an evidence theory, so that crusher information is fully utilized by a diagnosis result, and a fault pre-judgment result is more reliable; classification with the membership degree of 1 or 0 does not participate in evidence theory fusion, evidence conflicts of evidence theories are avoided, and thereforethe feasibility of algorithms is guaranteed; and trend information of historical data is introduced as auxiliary diagnosis, the omission ratio of fault pre-judgment is further reduced, and the overalllevel of fault pre-judgment is improved.
Owner:ANSTEEL GRP MINING CO LTD
A D-S Evidence Theory Method for Fusion of Microblog Containing Traffic Information
InactiveCN102855272BOvercome the shortcomings that are difficult to fully integrate and utilizeRich Semantic Understanding ProcessSpecial data processing applicationsData setConfidence interval
The invention discloses a Dempster-shafer (D-S) evidence theory method capable of achieving micro-blog inclusion traffic information fusion. The D-S evidence theory method includes determining an evidence theory identification framework and proposition space according to traffic congestion degrees; capturing micro-blog contents relevant to traffic information themes according to time windows and road sections to form a micro-blog data collection which is required to be fused; pre-processing the micro-blog data collection; calculating word meaning similarity degrees of description vocabularies of micro-blog data collection traffic states, introducing Chinese language corpus resources and improving calculation accuracy of the word meaning similarity degrees; calculating weighting evaluation of the micro-blog word meaning similarity degrees and constructing a basic probability assignment function of an evidence theory; and subjecting a plurality of micro-blog evidence sources to evidence synthesis according to a Dempster combination rule, determining confidence intervals of propositions in the identification space, and selecting a proposition of the maximum confidence function in the confidence intervals to be a fusion result. By means of the D-S evidence theory method capable of achieving micro-blog inclusion traffic information fusion, the fusion of micro-blog inclusion traffic information can be achieved, and an important data source is provided for the city traffic information collection.
Owner:INST OF GEOGRAPHICAL SCI & NATURAL RESOURCE RES CAS
Geothermal anomaly detection method based on evidence theory fused with multi-view remote sensing information
PendingCN114419422AHigh precisionReduce the effects of temperature changesCharacter and pattern recognitionAnomaly detectionGeophysics
Owner:CHINA UNIV OF MINING & TECH
Emergency treatment technology identification method for sudden watershed water pollution accident and emergency decision making system
InactiveCN110097295AImprove decision qualityConflict resolutionResourcesOptimal decisionDrainage basin
The invention discloses an emergency treatment technology identification method for sudden watershed water pollution accidents and an emergency decision-making system. According to the method, firstly, a decision weight calculation method for identifying indexes is provided, an evidence theory synthesis rule is applied to introduce similarity coefficients among index evidences, n groups of weightscores given by n experts for different identifying indexes are fused into one group of decision weight scores, and the technical problem of weight conflicts among different expert scores is solved. According to the emergency treatment technology identification method for the sudden drainage basin water pollution accident, the decision weight calculation method is introduced, and the optimal decision quality is improved. According to the two-stage identification method optimized by the method, the calculation amount can be reduced, and the emergency decision making time can be saved. Accordingto the emergency decision-making system for the sudden drainage basin water pollution accident, the emergency response is divided into the daily work part and the optimal decision-making part, the emergency response time can be shortened on the premise that subjective opinion conflicts of experts are reduced, and real emergency decision-making is achieved.
Owner:SOUTHWEST JIAOTONG UNIV
Situation estimation method based on improved D-S evidence theory
PendingCN112733915AEasy to handleGood for high conflict situationsCharacter and pattern recognitionComplex mathematical operationsAlgorithmEstimation methods
The invention provides a situation estimation method based on an improved D-S evidence theory. The situation estimation method comprises the following steps: setting an identification framework; constructing a basic probability distribution function; setting a reliability function; and setting a likelihood function, and finally outputting a result through fusion. The invention aims at solving the problem that Dempster fusion rules in the D-S evidence theory cannot effectively process fusion between high-conflict evidences. A fusion rule is improved, and the conflict between evidences is mainly generated due to the fact that the basic probability distribution of the same focal element in the evidences has a large difference. Considering that the variance is just used for describing the fluctuation degree of a group of data, the larger the basic probability distribution variance of the same focal element of different evidences is, the larger the conflict of the evidences with the focal element is; otherwise, the smaller the variance is, the different evidences basically keep the same attitude relative to the focal element, that is, the smaller the conflict is.
Owner:DALIAN UNIVERSITY
Evaluation Method of Chinese Microblog Credibility Based on Evidence Theory
The invention belongs to the field of information retrieval and evaluation and particularly relates to an evidence theory based Chinese microblog credibility evaluation method. Started with intrinsic characteristics of Chinese microblogs, a multidimensional evidence based microblog credibility evaluation method used for integrating three heterogeneous dimensions is provided after measurability and practical tasks of the intrinsic characteristics are taken into account, credibility measuring indexes of Chinese microblog information are systematically ordered and are classified into three high-level dimensions including text information, information sources and information dissemination. Compared with an evaluation method for a single characteristic of web texts or interconnection relation in the prior art, the evidence theory based Chinese microblog credibility evaluation method is more comprehensive and reasonable, is capable of preferring to reliable sources and spreading information widely under the same query condition.
Owner:长沙柳腾科技有限公司
A mechanical fault diagnosis method for high-voltage circuit breakers based on multi-data fusion technology
ActiveCN105956290BAccurate Mechanical Fault DiagnosisImprove securityGeometric CADSpecial data processing applicationsFeature vectorDiagnosis methods
The invention discloses a high-voltage circuit breaker mechanical fault diagnosis method based on a multi-data fusion technology. A plurality of sensors are mounted on a high-voltage circuit breaker, fault information is acquired by utilizing a data processing algorithm, and by combining typical fault signal feature vectors stored in a fault database, membership degrees that a circuit breaker state belongs to various different typical faults are determined; by introducing a generalized information entropy concept, evidence reliability of each sensor is obtained so as to obtain weighted evidences; and finally, a D-S evidence theory combination rule is adopted to complete fault fusion so as to obtain a decision diagnosis result. According to the high-voltage circuit breaker mechanical fault diagnosis method disclosed by the invention, a weighted evidence theory and the multi-data fusion technology are adopted, not only a result of obtaining each fault membership degree is considered, but also reliability of each evidence is considered, and accuracy of system diagnosis is effectively improved.
Owner:STATE GRID JIANGSU ELECTRIC POWER CO LTD MAINTENANCE BRANCH +2
Evidence Theory Fault State Identification Method Based on Correlation Coefficient Distance and Iterative Improvement
ActiveCN112101161BLevel of Conflict EliminationOvercome limitationsMachine bearings testingCharacter and pattern recognitionCorrelation coefficientDistance matrix
The present invention is based on the correlation coefficient distance and iterative improved evidence theory fault state identification method, including the steps: first, using multi-sensors to collect data signals during the operation of the equipment, so as to obtain multiple basic probability assignments of the current operation state of the equipment; second Second, calculate the distance between each BPA through the distance of the Correlation correlation coefficient and the distance of the Spearman correlation coefficient to generate a distance matrix; third, assign the corresponding weight to the evidence body based on the distance matrix; fourth, use the generated double weight The weighted average evidence is obtained by performing weighted correction on the original evidence body BPA; fifthly, the weighted average evidence is combined n-1 times according to the proposed iteratively improved new fusion rule to obtain the fusion result. The present invention utilizes the double distance function to optimize the evidence theory and at the same time introduces the idea of iterative improvement to improve the combination rules of the evidence theory, thus solving the problem of information conflict, effectively improving the reliability of fault state identification, and accelerating the fusion convergence speed.
Owner:XI AN JIAOTONG UNIV
A security assessment method for software architecture based on evidence synthesis theory
ActiveCN106650945BEasy to calculate objectivelySafety complianceFuzzy logic based systemsLogic circuitsSoftware systemSoftware engineering
The invention discloses a software system structure safety evaluation method based on evidence synthesis theory, which belongs to the technical field of software safety evaluation; firstly, the system structure model of the certain software system is constructed, and the safety elements involved in the components are fuzzy-mathematicalized Then use the software architecture analysis method to obtain the transition probability of the component and the transition probability of the operation path in the whole system, and then use the Dempster-Shafer (D-S) evidence synthesis theory, combined with the use weight of the software operation path, to calculate the components Perform safety synthesis to obtain the safety level evaluation results of each component, thereby calculating the safety level evaluation results of the running path and the system safety level evaluation results; the present invention uses a bottom-up software engineering analysis method to realize the software system Dynamic security analysis and evaluation.
Owner:BEIHANG UNIV
Network security situation evaluation method and system
InactiveCN101951329BAddress limitations that do not applyAbility to Accurately Delineate HazardsData switching networksApplicability domainNetworked system
The invention discloses a network security situation evaluation method and a network security situation evaluation system for improving the application range and accuracy of network security situation evaluation. The method comprises: classifying all security events in a preset time period according to attack type to form at least one event collection; accumulating the attack risk grades of the security events in each event collection respectively, and determining the accumulated values as the rise degree values of the event collections; substituting the risk degree values of the event collections as independent variables into empirical functions fi() corresponding to the event collections to obtain the values of the credibility of the fact that the event collections render a network in an unsecure state; and using the values of the credibility of the event collections as weights of evidences, combining the weights of evidences by using a synthesis rule of the theory of evidence, and obtaining the credibility of the fact that the network is in an unsecure state in the preset time period. Thus, the technical scheme realizes the quantitative evaluation of the security situation of the whole network and improves the application range and accuracy of the network security situation evaluation.
Owner:北京系统工程研究所
Cone Crusher Fault Prediction Method
ActiveCN112317109BImprove anti-interference abilityAvoid unreasonable divisionGrain treatmentsAlgorithmFalse alarm
The invention belongs to the field of technical detection, and in particular relates to a method for predicting the failure of a cone crusher. It is characterized in that the method of fuzzy reasoning is used to increase the anti-interference ability of the fault prediction system, effectively reducing the probability of false alarm and the rate of missed detection; in the fuzzification process, the membership function chooses the combination of triangular membership function and trapezoidal membership function It avoids the unreasonable division of the domain of discourse caused by the simple use of the triangular membership function; the evidence theory is used to fuse the reasoning results so that the diagnosis results can make full use of the information of the crusher and the fault prediction results are more reliable; the classification of the membership degree is 1 or 0 It does not participate in the fusion of evidence theory, avoiding the evidence conflict of evidence theory, thus ensuring the feasibility of the algorithm; introducing the trend information of historical data as auxiliary diagnosis, further reducing the missed detection rate of fault prediction and improving the accuracy of fault prediction The overall level.
Owner:ANSTEEL GRP MINING CO LTD
Electric power heterogeneous knowledge fusion method based on D-S evidence theory
PendingCN114117078AImprove efficiencyGood effectData processing applicationsKnowledge representationEngineeringData mining
The invention discloses an electric power heterogeneous knowledge fusion method based on a D-S evidence theory, and the method comprises the steps: obtaining various types of knowledge, including ontology knowledge, triple knowledge and event knowledge, of an electric power intelligent knowledge center; for a single input knowledge K, using BM25 to retrieve M optimal knowledge candidate sets from ontology knowledge, triple knowledge and event knowledge; respectively calculating the confidence of each knowledge in the knowledge candidate set; on the basis of the confidence coefficient, the fusion confidence coefficient of each piece of knowledge in the candidate set is calculated through fusion according to the D-S evidence theory; and sorting the fusion confidence, and screening to obtain knowledge most relevant to the query statement K. According to the method, on the basis of retrieval and text representation, the D-S evidence theory is utilized, the heterogeneous knowledge confidence degree results are subjected to fusion sorting, fusion of the heterogeneous knowledge is achieved, and the efficiency and effect of knowledge fusion are improved.
Owner:STATE GRID JIANGSU ELECTRIC POWER CO LTD MARKETING SERVICE CENT
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