Industrial Process Fault Detection Based on IGA‐Combinatorial Model Decision Mechanism
Shujuan Wei,
Yongsheng Qi,
Liqiang Liu
et al.
Abstract:To address the challenges of extracting features from complex industrial process data, the reliance of numerous fault detection methodologies on presupposed data distribution types, and the limited generalization capacity of fault detection, this manuscript introduces a sophisticated algorithm for industrial process fault detection. This algorithm harnesses the information gain adaptive (IGA) technique for feature selection and a synergistic model decision mechanism. Initially, the process involves the computa… Show more
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