4 results about "Deviation function" patented technology

The invention relates to a method for operating a power device (3) using a controller (5). A nominal model, which is made of supply data and which comprises a first mapping between at least one input variable and at least one output variable, and a detail model, which is generated during the operation of the controller (5) using measurement values and which comprises a second mapping between the at least one input variable and the at least one output variable, are used to ascertain at least one deviation variable, which relates to a deviation of the operating behavior of at least one component (6) of the power device (3) from a standard operating behavior, wherein a deviation function is ascertained as the development of the at least one deviation variable over time, and the future development of the at least one component (6) is inferred using the deviation function.

A method for characterizing and correcting the conditional distribution deviation between two sets of data. In view of the situation where there is a complex conditional distribution deviation between the two sets of data, the difficult-to-solve problem of complex distribution deviation in the original feature space is converted into the solution of simple distribution deviation measurement indicators in multiple subspaces. The method first divides the feature space where the two sets of data are located into multiple subspaces, and then uses the membership function of the data points in the feature space to each subspace, as well as the conditional distribution deviation measurement indicator of each subspace, to calculate the conditional distribution deviation function between the two sets of data. The main purpose of the present invention is to characterize the distribution deviation between two sets of data, and the characterization results can be used to correct distribution deviations, guide data sampling, guide transfer learning, etc.

The present application belongs to the technical field of highway engineering, and discloses a slope reliability prediction method coupled with extreme warm and wet and non-stationary random field of soil body, steps comprising: S1 obtaining soil body parameters of subgrade slope and relevant climate data of subgrade slope engineering; S2 calculating extreme warm and wet index based on relevant climate data of subgrade slope; S3 respectively constructing warm and wet driving mean function and standard deviation function of each soil body parameter; S4 constructing non-stationary correlation function driven by extreme warm and wet; S5 discretizing random field of soil body parameters of subgrade slope, and generating extreme warm and wet driving discrete random field of subgrade slope; S6 performing seepage-intensity coupling response analysis of subgrade slope under the action of extreme warm and wet environment, constructing limit state function, and calculating failure probability and reliability index at each time; S7 determining a dangerous time window, constructing a proxy model based on the dangerous time window, and correcting the failure probability and reliability index of the slope.

The application discloses a normalized W transform method based on local frequency constraint and used for gas reservoir identification. The method firstly inputs a seismic signal, adopts total variation regularization combined with Bregman iteration to solve local frequency, and improves stability and noise resistance of frequency estimation; on the basis, a standard deviation function fusing local frequency constraint, frequency deviation suppression and amplitude adaptive adjustment is constructed, adaptive regulation and control of a W transform analysis window are realized, a time-varying main frequency normalization mechanism is introduced, and a high-resolution time-frequency spectrum is obtained; finally, at least two characteristic frequency points are selected based on energy accumulation distribution of the time-frequency spectrum, linear fitting is performed on the characteristic frequency points, a frequency attenuation gradient attribute is calculated, and the frequency attenuation gradient attribute is used for representing distribution characteristics of the gas reservoir.