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 …

This paper presents an overview of graphical methods used for robust Fault Detection and
Isolation (FDI) that can be employed for monitorability and diagnosability analysis and/or …

An algorithm is developed for computing which sensors to add to meet a diagnosis
requirement specification concerning fault detectability and fault isolability. The method is …

In this paper, fault diagnosis based on patterns exhibited in the sensors measuring the
process variables is considered. The temporal patterns that a process event leaves on the …

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 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 …

In this article a combined signed directed graph (SDG) and qualitative trend analysis (QTA)
framework for incipient fault diagnosis has been proposed. The SDG is the first level in this …

This paper focuses on the optimal sensor placement problem for the identification of pipe
failure locations in large-scale urban water systems. The problem involves selecting the …

Analyzing fault diagnosability performance for a given model, before developing a diagnosis
algorithm, can be used to answer questions like “How difficult is it to detect a fault fi?” or …

Sensor placement and structural health classifiers are fundamental components of Structural
Health Monitoring (SHM) systems, as they largely define system detection (or classification) …