Traditional onefold data-driven methods for fault detection in complex process industrial systems with high-dimensional, linear, nonlinear, Gaussian, and non-Gaussian coexistence often have less than satisfactory monitoring performance because only a single distribution of variables is considered. To address this problem, hybrid model based on PCA-KPCA-ICA-KICA-BI (Bayesian inference) proposed,...

economic recession is considered as a repeatable and constant phenomenon in capitalist economy. countries which experienced rapid economic growth have inevitably applied a balancing program after that. generally, whenever industrial, financial and commercial developments occurred in a rapid growth, the reverse and changing processes would appear. consequently, they will affect the financial and...

background: contamination of the environment due to heavy metals is a major concern to human life and the environment. this study was conducted to investigate and quantify the copper and zinc concentrations in industrial estates soil in arak, iran. methods: four industrial estates were considered for the experimental design, including arak 1, arak 2, arak 3, and ghotbe sanaati. for preliminary ...

A novel data-driven soft sensor is designed for online product quality prediction and control performance modification in industrial units. A combined approach of time variable parameter (TVP) model, dynamic auto regressive exogenous variable (DARX) algorithm, nonlinear correlation analysis and criterion-based elimination method is introduced in this work. The soft sensor performance validation...