53 results about "Focal element" patented technology

An imaging system is provided that includes a optical pulse generator for providing an optical pulse having a spectral bandwidth and includes monochromatic waves having different wavelengths. A dispersive element receives a second optical pulse associated with the optical pulse and disperses the second optical pulse at different angles on the surface of the dispersive element depending on wavelength. One or more focal elements receives the dispersed second optical pulse produced on the dispersive element. The one or more focal element recombine the dispersed second optical pulse at a focal plane on a specimen where the width of the optical pulse is restored at the focal plane.

The invention discloses a power transformer fault diagnosis method which comprises the following steps: S1, constructing a deep belief network model, and carrying out feature extraction and classification to obtain a trained deep belief network model; S2, processing the to-be-diagnosed data to obtain a corresponding output result; S3, calculating a basic probability value of the output result, andobtaining basic probability values of other evidences at the same time; S4, fusing all evidences by using the D-S evidence theory is fused, and calculating the likelihood, the trust degree and the conflict factor K of each focal element; S5, obtaining a confidence interval (Bel, pl) and a diagnosis conclusion according to the data obtained in the step S4; and S6, reconstructing a deep belief network model according to the fault part in the obtained diagnosis conclusion, and repeating the steps S1 to S5 to further analyze the fault cause until a final conclusion is obtained. According to the diagnosis method, a large amount of multi-source heterogeneous data can be well processed, and the diagnosis method is good in multi-evidence fusion and feature extraction, low in uncertainty and highin reliability.

The invention discloses a mechanical fault diagnosis method based on probability box model correction. According to the method, fault data in an industrial process is collected, and an original probability box is acquired; an appropriate probability box model is selected; an original DSS is acquired; a comprehensive additional information quantity of industrial test data is defined; an optimized DSS is extracted; and a new probability box is obtained. The mechanical fault diagnosis method based on probability box model correction is proposed to solve the overlapping phenomenon among probability boxes in the industrial mechanical fault diagnosis process and improve the compactness of the probability boxes. Through the method, the probability box model of the industrial test data is obtainedthrough a probability box modeling method, a mean value of focal element intervals and a data fluctuation quantity between adjacent focal elements are used as the additional information quantity, a Bayesian method based on maximum entropy is utilized to correct the probability box model, the compactness of the corrected model is improved, the overlapping phenomenon among models is relieved, and more accurate information is provided for further increasing the correct recognition rate of mechanical fault diagnosis through the probability box model.

An image processing method forming realistic stratum detritus detail in a camouflage pattern comprises the steps of: Identifying the desired camouflage genre; Forming a base image layer with a shallow depth of field which includes a foreground focal element extending substantially across the width of the pattern; Forming a lattice work image layer including a lattice work of appropriate natural elements; Overlaying the lattice work image layer onto the base image layer; and Blending detritus images into the natural elements of the lattice work. Camouflage patterns formed according to the disclosed process are also disclosed which form a more effective hunter camouflage pattern.