Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
August 15, 2025Journal of Quality Technology

An adaptive CUSUM chart for robust monitoring of multivariate processes

View Full Paper
Ask AI
Bookmark
Share

Authors

XXXiulin Xie

Discussion

Loading...

Member takes

Overview

Innovative method detects distributional shifts in multivariate processes, simplifying online monitoring and adjustment.

Key Points

  • The proposed method allows for real-time detection of shifts in multivariate processes, enhancing monitoring effectiveness.
  • The new adaptive control chart performs well even with correlated observations, proving its robustness.
  • Observations are transformed into a univariate space, simplifying the monitoring process without needing predefined parameters.
  • This approach quickly estimates the location of shifts, improving responsiveness to changes in multivariate systems.

Cite This Study

Xiulin Xie (2025) studied this question.

synapsesocial.com/papers/68af59e3ad7bf08b1eadee13https://doi.org/10.1080/00224065.2025.2527125
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1On Designing CUSUM and Adaptive CUSUM Charts for Monitoring Scale Parameter of Birnbaum–Saunders Distribution2025 · 1 citations
  2. 2A distribution-free adaptive CUSUM-sign chart for monitoring shifts in the location of unknown industrial process2024 · 3 citations
  3. 3Adaptive CUSUM Chart for Simultaneous Monitoring of Mean and Variance2026
  4. 4Design of a Self-Starting Combined Shewhart-CUSUM Chart for Short Run Scenarios2024
  5. 5A Two-Sided CUSUM Control Chart with Repetitive Sampling with Industrial Application2026