R
Raghunathan Rengaswamy
Researcher at Indian Institute of Technology Madras
Publications - 225
Citations - 10538
Raghunathan Rengaswamy is an academic researcher from Indian Institute of Technology Madras. The author has contributed to research in topics: Proton exchange membrane fuel cell & Fault detection and isolation. The author has an hindex of 39, co-authored 210 publications receiving 9632 citations. Previous affiliations of Raghunathan Rengaswamy include Indian Institute of Technology Bombay & Bosch.
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Comprehensive design of a sensor network for chemical plants based on various diagnosability and reliability criteria. 1. Framework
TL;DR: In this article, a reliability maximization based optimization framework for sensor location from a fault diagnosis perspective is presented, aimed toward maximizing the reliability of the fault monitoring system while satisfying the constraints imposed on the system.
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A modified empirical mode decomposition (EMD) process for oscillation characterization in control loops
TL;DR: In this article, a modified empirical mode decomposition (EMD) process is used to uncover all the zero-crossings in the data and characterizes the following attributes of oscillations: (i) non-constant mean, (ii) time instances when the oscillations are present, (iii) strength of the oscillation at different times, (iv) time period of each sweep of oscillation.
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A signed directed graph-based systematic framework for steady-state malfunction diagnosis inside control loops
TL;DR: In this paper, a unified SDG model for control loops is discussed, in which both disturbances (sensor bias, etc.) as well as structural faults can be easily modeled under steady-state conditions.
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Approaches for efficient stiction compensation in process control valves
TL;DR: Two novel approaches for stiction compensation are proposed: a simple two-move approach and an optimization based approach much in the spirit of predictive control strategies based on a data-driven model for stictions.
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Design of Sensor Network Based on the Signed Directed Graph of the Process for Efficient Fault Diagnosis
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.