2 results about "Abnormal distribution" patented technology

The application discloses a kind of equipment failure early warning detection methods based on digital radar holography scanning, it is related to the technical field of failure early warning, including, the abnormal propagation direction and parameter relationship transmission characteristics between the analysis secondary abnormal distribution set and primary abnormal distribution set, form abnormal evolution chain, extract abnormal structure mode of abnormal evolution chain by structure analysis, and execute fault fitting processing, generate multidimensional fault fitting set;Estimate the abnormal evolution trend of multidimensional fault fitting set, generate operation risk index set, execute abnormal evolution consistency determination to operation risk index set, generate failure early warning result set.The application deduces and constructs abnormal evolution chain by counterfactual state, realizes the explicit modeling to equipment "normal operation relationship mode", makes abnormal change from "discrete identification" to "structured evolution analysis", improves failure early warning foresight and reliability.

The present application relates to the technical field of leprosy nerve injury grading evaluation, in particular to a leprosy nerve injury intelligent grading evaluation method based on high-frequency ultrasound multi-parameter fusion, which adopts high-frequency ultrasound to obtain multiple frames of nerve images, analyzes gray scale trends to construct a closed path, screens out abnormal distribution frames to generate a consistent sequence, extracts regional coverage, brightness morphology and texture arrangement features, generates change descriptions by comparing feature differences, matches preset grading rules according to description types, determines the injury level, and obtains the leprosy nerve injury intelligent grading evaluation result. The present application adaptively defines the nerve region by using the gray scale change of the image, reduces the experience dependence, ensures the spatial homology and stability of the feature comparison by screening the consistent image sequence, weakens the single index interference based on the overall trend of the change description, guarantees the coherence and distinguishability of the evaluation result under the complex background, and enhances the applicability of the grading conclusion in the dynamic observation scene.