32results about How to "Reflect uncertainty" patented technology

The invention relates to the field of electric power system and automation thereof, in particular to a method for calculating the failure rate of transformer insulation oil deterioration. Aiming at how to deal with the big data problems involving many types, large quantities, and complex interrelationships involved in the assessment of transformer insulation oil degradation fault status, the data clustering principle is used to process and analyze big data on the basis of establishing a large database; for transformer insulation oil degradation The random and fuzzy uncertain parameters involved in fault state evaluation are processed and analyzed by using the theory of probabilistic fuzzy sets. A method for calculating the failure rate of transformer insulation oil degradation proposed by the present invention can evaluate the failure state of transformer insulation oil degradation, which reflects the uncertainty of the characteristic value of the transformer insulation oil degradation fault state, and provides a basis for the evaluation of the transformer insulation oil degradation fault state. Provide theoretical guidance and provide necessary technical support for distribution network operation and maintenance.

The invention relates to the field of electric power system and its automation, in particular to a method for calculating the failure rate of a transformer considering temperature. Based on the establishment of a large database, the principle of data clustering is used to process and analyze the big data; for the parameters of randomness and fuzzy uncertainty involved in the evaluation of the transformer fault state, the theory of probabilistic fuzzy sets is used for processing and analysis. A transformer fault rate calculation method considering temperature proposed by the present invention can evaluate the fault state of the transformer, which reflects the uncertainty of the characteristic value of the fault state of the transformer, provides theoretical guidance for the evaluation of the fault state of the transformer, and contributes to the operation of the distribution network. Provide necessary technical support.

The invention provides a soil heavy metal risk prediction method. Based on a sequential condition simulation method, the contents of various heavy metals in the soil in a target area can be estimated,and a visualized risk map of heavy metals in the soil is generated by integrating various heavy metal contents based on a Hakanson potential ecological risk index method. Compared with a traditionalKriging interpolation method, the sequential condition simulation method can better reflect the uncertainty of heavy metal distribution, overcomes the smoothing effect of the traditional Kriging interpolation method, and has better predictability; the Hakanson potential ecological risk index method can scientifically synthesize various soil heavy metal contents and obtains the more accurate assessment risk; the method is relatively intuitive to observe high-risk areas from the visible soil heavy metal risk map, makes preventive measures in time, and has good practicability.

The invention relates to the field of electric power systems and automation thereof, in particular to a method for calculating the failure rate of a parallel transformer power supply system. Big dataare processed and analyzed with a data clustering principle on the basis of establishment of a big database; as for random and fuzzy uncertainty parameters related to estimation of fault state of a transformer, processing and analysis are performed with a theory of a probabilistic fuzzy set. By means of the method for calculating the failure rate of the parallel transformer power supply system, the fault state of the transformer can be evaluated, the uncertainty of feature values of the fault state of the transformer is reflected, theoretic guidance is provided for estimation of the fault state of the transformer, and necessary technical support is provided for operation and maintenance of a power distribution network.

The invention provides a determination index based low resistivity oil zone recognition method and device. The determination index based low resistivity oil zone recognition method comprises the steps that a low resistivity oil zone of a target exploration region is defined; data information of the target exploration region is obtained to find out the confirmed low resistivity oil zone; the causes of the low resistivity oil zone are analyzed to determine a low resistivity oil zone recognition method suitable for the target exploration region, the experience judging indexes corresponding to the low resistivity oil zone recognition method are calculated, and the distribution range of the experience judging indexes is obtained; a suspended low resistivity oil zone of the target exploration region is looked up, and the target judging indexes of the suspended low resistivity oil zone are calculated; and a recognition result of the suspended low resistivity oil zone is determined according to the distribution situation of the target judging indexes in the distribution range. By utilizing the embodiments of the method, multiple oil zone recognition methods can be comprehensively considered, the uncertainty and correct judgement probability in the judging process can be embodied in a quantitative mode, the subjective influence of artificial recognition can be reduced, and the recognition correction rate can be improved.

The invention relates to the field of power systems and automation thereof, in particular to a method for calculating the failure rate of transformer insulation paper degradation. Aiming at how to deal with the big data problems involving many types, large quantities, and complex interrelationships involved in the evaluation of transformer insulation paper degradation fault status, on the basis of establishing a large database, the principle of data clustering is used to process and analyze the big data; for transformer insulation paper degradation The random and fuzzy uncertain parameters involved in fault state evaluation are processed and analyzed by using the theory of probabilistic fuzzy sets. A method for calculating the failure rate of transformer insulation paper degradation proposed by the present invention can evaluate the failure state of transformer insulation paper degradation, which reflects the uncertainty of the characteristic value of the degradation fault state of transformer insulation paper, and provides a basis for the evaluation of the degradation fault state of transformer insulation paper Provide theoretical guidance and provide necessary technical support for distribution network operation and maintenance.

The invention relates to a neuron action potential feature extraction method based on singular spectrum entropy. The conventional method has incomplete extraction of information and low calculation efficiency. The method comprises the following steps of: firstly sampling an action potential signal and forming a time sequence X in the set time window width; setting values of embedding dimension K and delay time T and carrying out multi-dimensional phase space reconstruction on the time sequence X to obtain a phase space matrix Y; carrying out singular value decomposition on the phase space matrix Y to obtain a singular value of the phase space matrix Y, respectively calculating the ratio between each nonzero singular value and the sum of all singular values to obtain a probability, and calculating a singular spectrum entropy value of the time sequence X by utilizing an information entropy calculation method; and finally moving a time window and calculating all singular entropy values according to the information entropy calculation method to obtain the neuron action potential feature. The invention has complete information amount and fast calculation speed in the calculation process.

The invention relates to a method for evaluating the deterioration state of transformer insulating oil, the steps are as follows: firstly, construct the data sets of transformer insulating oil feature class, insulating paper feature class, gas feature class, temperature feature class, capacitance feature class, partial discharge feature class and Calculate the corresponding probability value; then, calculate the average value of the characteristic values ​​of oil, paper, gas, temperature, capacitance, and partial discharge that reflect the deterioration state of the transformer insulating oil; then, construct the evaluation function of the deterioration state of the transformer insulating oil; finally, carry out the transformer Evaluation of the deterioration state of the insulating oil; the present invention can evaluate the deterioration state of the transformer insulating oil, reflecting the uncertainty of the characteristic value of the deterioration state of the transformer insulating oil, providing theoretical guidance for the evaluation of the deterioration state of the transformer insulating oil, and providing necessary information for the operation and maintenance of the distribution network. technical support.

The invention provides a wireless sensor network (WSN) trust evaluation method based on subjective belief, and belongs to the technical field of WSN security. The trust evaluation method comprises the following steps of: 1. implementing formal definition of trust values among nodes; 2. establishing and updating a trust evaluation sheet for an evaluation object by an evaluation subject; 3. calculating an observed value of the direct trust value during the current time period; 4. calculating the direct trust value during the current time period; 5. establishing a trust recommendation structure between the evaluation subject and the evaluation object; 6. calculating the recommendation trust value of the evaluation object by the evaluation subject; and 7. obtaining the overall trust value of the evaluation object and judging whether the evaluation object is trusted. The WSN trust evaluation method has the advantages that a universal WSN distributed trust evaluation method is established; the trust relationship among the nodes is defined; formal definition, calculation, update and transmission for node trust are realized based on the subjective belief; and subjectivity, fuzziness, uncertainty, dynamic nature and transitivity of the trust values are better reflected.