3 results about "Robust analysis" patented technology

The process comprises the steps of: - providing (E1) algorithms configured to determine a theoretical motion sickness intensity; - processing (E3) data with each algorithm to deduce a theoretical motion sickness intensity and an associated statistical robustness; - analyzing (E5) said theoretical motion sickness intensities and statistical robustness to deduce a most probable motion sickness intensity and an associated probability; - deducing (E6) from said most probable intensity a measure to be taken against motion sickness; and - monitoring (E7, E8) the implementation of said measure as a function of said associated probability. Figure for the abstract: Fig 2

This invention discloses a method and system for analyzing the state of small industrial models using dual transfer learning, belonging to the field of industrial equipment state analysis technology. The method includes: constructing a set of state segments arranged in time window order by uniformly aligning and segmenting multi-channel time-series data generated during industrial equipment operation; mapping each state segment to a set of equipment operating state feature vectors; generating a target state representation vector set based on the set of equipment operating state feature vectors; performing dual transfer alignment calculations on the source and target state representation sets, and constraining the state representations with numerical alignment results; performing a confidence-based adaptive update calculation on the target state representation vector set, and outputting the final state representation result. This invention achieves robust analysis and cross-device adaptation of equipment operating states, significantly improving the stability, transferability, and engineering applicability of state representations.