In this final part, we discuss fault diagnosis methods that are based on historic process
knowledge. We also compare and evaluate the various methodologies reviewed in this …

Recently, Maurya et al.(Ind. Eng. Chem. Res. 42 (2003b, c) 4789, 4811) have presented a
comprehensive framework for signed directed graph-based analysis of process systems …

In a typical large-scale chemical process, hundreds of variables are measured. Since
statistical process monitoring techniques typically involve dimensionality reduction, all …

In the recent past, graph-based approaches have been proposed by various researchers for
safety analysis and fault diagnosis of chemical process systems. Though these approaches …

Urban water distribution networks (WDNs) are large scale complex systems with limited
instrumentation. Due to aging and poor maintenance, significant loss of water can occur …

Although signed directed graphs (SDG) have been widely used for modeling control loops,
due to lack of adequate understanding of SDG-based steady-state process modeling …

An optimization model is proposed for the biomass to energy system design considering
disruption in biomass supply. The supply chain consists of farms, Regional Biomass Pre …

An appropriately designed sensor network is crucial for the success of any fault diagnostic
strategy. Strategies for optimally locating sensors based on reliability-maximization and cost …

B= State space model input matrix C= State space model output matrix D= State space
model influence or direct transmission matrix F= Matrix of hardware influence functions O …

Pattern classifications have become important tools for fault diagnosis in nuclear power
plants (NPP). However, it is often difficult to obtain training data under fault conditions to train …