Manufacturing Abnormality Analysis Using Overall and Element Scores

The patent segments the analysis process into two distinct phases: first analyzing individual sequence candidates independently to generate initial abnormality indicators, then analyzing the combination of multiple sequence candidates together to determine the final unauthorized access detection result. This segmentation allows each phase to focus on specific aspects, improving overall detection accuracy while managing complexity.

The patent introduces an intermediary analysis step that evaluates the combined effect of multiple sequence candidates before making the final unauthorized access determination. This intermediary layer acts as a mediator between individual sequence analysis and final detection, resolving conflicts between multiple candidates and improving accuracy by considering their collective behavior rather than treating them in isolation.

The patent performs preliminary analysis on individual sequence candidates first, generating initial abnormality indicators before combining them for comprehensive analysis. This preliminary action filters out obviously normal sequences early in the process, reducing the computational burden of subsequent comprehensive analysis while maintaining detection precision for suspicious sequences.

The patent applies partial analysis to individual sequence candidates initially, focusing computational resources on analyzing each candidate's basic characteristics without performing full comprehensive analysis on all candidates simultaneously. This partial action approach maintains detection precision for abnormal sequences while significantly reducing overall calculation overhead by avoiding redundant computations on normal sequences.