Work

Recurrent Neural Network‐Driven Interpretation of Anomalous Signals in Compositional Data Using MEWMA Control Charts

Year: 2026

Type: article

Source: Quality and Reliability Engineering International

DOI: 10.1002/qre.70261

Authors: Muhammad Imran, Zhen He, Fatima Sehar Zaidi, Kim Phuc Tran, XueLong Hu

Institutions: Tianjin University, ILMA University, Université de Lille, GEnie des Matériaux TEXtiles, Dong A University, École Nationale Supérieure des Arts et Industries Textiles, Nanjing University of Posts and Telecommunications

Language: English

Topic: Advanced Statistical Process Monitoring

Subfield: Statistics, Probability and Uncertainty

Field: Decision Sciences

Domain: Social Sciences

Open Access status: closed

OpenAlex ID: W7162186443

FWCI:

Cites: 32

Cited by:

Related to: