This paper presents a new online statistical monitoring based on dynamic independent component analysis (DICA) to detect the Tennessee Eastman challenge process faults. The proposed method employs dynamic feature extraction approach to capture most of the inherent dynamic fault information. This leads to an efficient fault detection with superior performance compared to independent component an...

For using process operational data to realize process monitoring, kinds of improved Principal Components Analysis (PCA) have been applied to cope with complex industrial processes. In this paper, a novel nonlinear wavelet packet PCA (NLWPPCA) method, which combines input training network with wavelet packet PCA, is proposed. Wavelet packet PCA integrates ability of PCA to de-correlate the varia...

In this paper, a modified independent component analysis (ICA) and its application to process monitoring are proposed. The basic idea of this approach is to use the modified ICA to extract some dominant independent components from normal operating process data and to combine them with statistical process monitoring techniques. The proposed monitoring method is applied to fault detection and ide...

This paper elucidates the methodology of employing agent-based technique for detecting and diagnosing faults in chemical processes. The proposed agent methodology has been shown to be able to effectively combine various fault diagnosis methodology and exploit the capability of parallel computing technology in the process plants. We also show that the integration and collaboration among heteroge...

The purpose of this article is to present a new procedure for industrial process diagnosis. This method is based on bayesian classifiers. A feature selection is done before the classification between the different faults of a process. The feature selection is based on a new result about mutual information that we demonstrate. The performances of this method are evaluated on the data of a benchm...

In this work we investigate the matter of “secure control” – a novel research direction capturing security objectives specific to Industrial Control Systems (ICS). We provide an empirical analysis of the well known Tennessee Eastman process control challenge problem to gain insights into the behavior of a physical process when confronted with cyber-physical attacks. In particular, we investigat...

A new fault-relevant KPCA algorithm is proposed. Then the fault detection approach is proposed based on the fault-relevant KPCA algorithm. The proposed method further decomposes both the KPCA principal space and residual space into two subspaces. Comparedwith traditional statistical techniques, the fault subspace is separated based on the fault-relevant influence. This method can find fault-rel...

In this work, we apply the systematic approach to plant-wide control design presented in [1], based on the fundamentals of process networks, thermodynamics and systems theory, to the Tennessee Eastman (TE) Challenge Process, deriving robust decentralized controllers that will ensure the stability of the complete plant. We take one step further in the control design procedure by completing it wi...

When a fault occurs in process, it slowly propagates within the system and affects measurements triggering sequence of alarms control room. The operators are required to diagnose cause take necessary corrective measures. idea representing alarm as propagation path using is explored. A diagnoser based on hidden Markov model built identify signals. proposed approach applied an industrial case stu...