Showing papers by "Raghunathan Rengaswamy published in 2000"
TL;DR: Algorithms for sensor network design based on the signed directed graph (SDG) representation of the process are detailed and applied to two chemical engineering case studies.
Abstract: An optimally located network of sensors is a prerequisite for successful application of fault diagnosis techniques. Most of the previous work in the area of fault diagnosis deals with methodologies for identifying possible faults, given sensor data. Available literature suggests that very little work has been done on methods for optimally locating the sensors for efficient fault diagnosis. Some algorithms based on the concepts of observability and resolution were discussed in our previous work (ref 1: Raghuraj et al. AIChE J. 1999, 45 (2), 310). These algorithms are based on a digraph (DG) representation of the process. In this article, the sensor location work is extended to use the signed directed graph (SDG) representation of the process. Various issues involved in utilizing the SDG of the process for the problem of sensor location are discussed. Algorithms for sensor network design based on the SDG of the process are detailed and applied to two chemical engineering case studies. It is shown that bett...
81 citations
TL;DR: In this paper, a reliability formulation for selecting optimal sensors is presented, which takes into account quantitative information such as fault occurrence probabilities, sensor failure probabilities, and sensor costs, and heuristics to solve the posed problem are also discussed.
74 citations
TL;DR: To enhance the neural network framework, this work addresses the following three issues, speed of training; introduction of time explicitly into the classifier design; and online updation using a mirror-like process model.
63 citations
TL;DR: The key FLC modification is the use of a sigmoidal gain-schedule (SGS) that is the significantly parameter-reduced equivalent of a flexible fuzzy input/output variable.
8 citations