Coupling analysis-based false monitoring information identification of production system in process industry
发布时间：2025-04-30
点击次数：
- 发布时间：
- 2025-04-30
- 论文名称：
- Coupling analysis-based false monitoring information identification of production system in process industry
- 发表刊物：
- SCIENCE CHINA Technological Sciences
- 摘要：
- False monitoring information is a major problem in process production system and several ineffective methods have been proposed to identify false monitoring information in the production system. In this paper, a new method is proposed to identify false monitoring information based on system coupling analysis and collision detection from the perspective of data analysis. Coupling multifractal features are extracted to reflect the changes in coupling relationship by utilizing the multifractal detrended cross-correlation analysis (MF-DXA). Each monitoring variable in process production system has more than one coupled variable, which can be regarded as multi-source. To achieve low redundancy in features and uniform description of coupling relationship, the feature level information fusion is studied based on modified Mahalanobis Taguchi system (MTS). False alarms are identified when the coupling relationships among the coupled monitoring variables collide. Analysis results of coupled Rössler and Henon datasets indicate the feasibility of this method for selecting the effective coupling feature and uniform description of coupling relationship. The compressor system case of Coal Chemical Ltd. Group is studied and false monitoring information is identified.
- 合写作者：
- Gao Zhiyong, <b>Wang Rongxi</b>, Jiang Hongquan, Gao Jianmin, Dong Rongguang
- 卷号：
- 60(6)
- 页面范围：
- 807-817
- 是否译文：
- 否
- 发表时间：
- 2017-06-01