In this work we describe a conceptual approach which has been recently developed to design efficient decentralized control structures for flexible chemical plant operation. The approach combines concepts from thermodynamics, inventory networks and process control to construct a set of stable and robust decentralized control candidate structures. Such candidates consist of inventory control loop...

Abstract Data-driven fault detection techniques have attracted extensive attention in engineering, industry and many other areas recent years. In real applications, the following situation often occurs: data for certain types of faults (unseen faults) are not available to train models that used detection. Such a scenario can occur when collection becomes highly time-consuming or destructive. To...

In this article we propose a combined signed directed graph (SDG) and qualitative trend analysis (QTA) framework for incipient fault diagnosis. The SDG is the rst level in our framework and provides a possible candidate set of faults based on the incipient response of the process. The search for the actual fault is performed based on a QTA, which uses the temporal evolution of the sensors for f...

Ž . Principal component analysis PCA is the most commonly used dimensionality reduction technique for detecting and diagnosing faults in chemical processes. Although PCA contains certain optimality properties in terms of fault detection, and Ž . has been widely applied for fault diagnosis, it is not best suited for fault diagnosis. Discriminant partial least squares DPLS has been shown to impro...

Industrial control systems are a vital part of the critical infrastructure. The potentially large impact of a failure makes them attractive targets for adversaries. Unfortunately, simplistic approaches to intrusion detection using protocol analysis or näıve statistical estimation techniques are inadequate in the face of skilled adversaries who can hide their presence with the appearance of legi...

Matthias Kettler,† Ivo Nezbeda,*,‡ Ariel A. Chialvo,§,‡ and Peter T. Cummings§,| Institute of Thermodynamics and Thermal Process Engineering, UniVersity of Stuttgart, 70550 Stuttgart, Germany, Department of Chemical Engineering, UniVersity of Tennessee, KnoxVille, Tennessee 37996-2200, Chemical Sciences DiVision, High-Temperature Aqueous Chemistry Group, Oak Ridge National Laboratory, Oak Ridge...

In critical infrastructure applications, timely and consistent fault detection diagnosis is an increasingly important operational process, especially in the energy sector where safety of utmost importance. To realise this, engineers have to manually analyse data acquired from several assets using predefined diagnostic processes, but this a time-consuming process requiring significant amounts sp...