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.
Papers
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Journal ArticleDOI
State and Parameter Estimation in Distributed Constrained Systems. 2. GA-EKF Based Sensor Placement for a Water Gas Shift Reactor
Parham Mobed,Sudhakar Munusamy,Debangsu Bhattacharyya,Raghunathan Rengaswamy,Raghunathan Rengaswamy +4 more
TL;DR: This work develops a sensor placement framework that combines genetic algorithms and the extended Kalman filter to obtain optimal sensor locations and includes linearized models around the steady-state operating point.
Journal ArticleDOI
Multi-Omic Data Improve Prediction of Personalized Tumor Suppressors and Oncogenes
TL;DR: This method is the first machine learning model to classify genes as tumor suppressor gene (TSG), oncogene (OG), or neutral, thus assigning the functional impact of the gene in the patient, and develops a multi-omic approach, PIVOT, to train on experimentally or computationally validated mutational and structural driver events.
Book ChapterDOI
A dynamic spherical agglomerate model for proton exchange membrane fuel cells (PEMFC)
TL;DR: In this article, a detailed dynamic model for spherical agglomerate in a proton exchange membrane fuel cell (PEMFC) is presented, which includes detailed mathematical equations for O2 and H+ ions.
Book ChapterDOI
A systems engineering framework for application-dependent identification and design of electrochemical energy conversion systems
TL;DR: In this article, a framework for quantitatively benchmarking the merits/demerits of potential technologies using a matrix of several factors is presented, viz, batteries, fuel cells and flow batteries.
Proceedings ArticleDOI
Derivation of an equivalent electrical circuit model for degradation mechanisms in high temperature pem fuel cells in performance estimation
TL;DR: In this article, the authors present an equivalent electrical circuit model that represents the characteristics of a high temperature PEM fuel cell under various fault mechanisms and the three main degradation mechanisms that can reduce long term and short term performance are investigated and specific electrochemical parameters that are affected are identified.