Special vehicle engine digital maintenance system based on big data analysis

By using an improved SegmenTier algorithm and directed transition similarity calculation, combined with adaptive segmentation cost generation and evidence interval resegmentation, the temporal analysis problem of the engine maintenance system under extreme environments was solved, and the accuracy and reliability of operating condition identification and maintenance triggering were improved.

CN122415064APending Publication Date: 2026-07-17CHINA NORTH ENGINE INST TIANJIN
View PDF 0 Cites 0 Cited by

Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Applications(China)
Current Assignee / Owner
CHINA NORTH ENGINE INST TIANJIN
Filing Date
2026-04-27
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing engine maintenance systems struggle to establish a stable and reliable time-series analysis foundation under extreme environments, failing to accurately characterize directional changes and state continuity during operating condition transitions. This results in delayed early warning identification, impacting the accuracy and practicality of maintenance results.

Method used

An improved SegmenTier algorithm is adopted, which combines directed transition similarity calculation, adaptive segmentation cost generation and evidence interval resegmentation processing to recursively divide the engine operating condition state segment and determine maintenance triggers, forming continuous and comparable engine time series characterization results. The maintenance feedback records are used to locate the precursor evidence interval for resegmentation processing.

Benefits of technology

It improves the accuracy of operating condition segment division and the reliability of maintenance triggering, enhances the stability of operating condition identification results and the pertinence of maintenance results under complex engine operating conditions, and reduces the risk of misjudgment.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN122415064A_ABST
    Figure CN122415064A_ABST
Patent Text Reader

Abstract

The application discloses a special vehicle engine digital maintenance system based on big data analysis, comprising: a data set generation module for forming an engine time series data set; a feature generation module for forming a window feature sequence; a prototype construction module for forming a working condition prototype set and an ordered working condition label sequence; a similarity generation module for forming a directed transition similarity matrix; a cost generation module for forming an adaptive segmentation cost sequence; an initial segmentation module for forming an initial working condition state segment set and an initial state segment boundary by using an improved SegmenTier algorithm; an evidence interval generation module for forming a precursor evidence interval; and a re-segmentation output module for outputting a working condition recognition result, a precursor segment positioning result and a maintenance triggering result. The application improves the working condition segmentation accuracy and the maintenance triggering reliability.
Need to check novelty before this filing date? Find Prior Art