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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Development of cylindrical PEM fuel cells with semi-cylindrical cathode current collectors
TL;DR: In this article, a cylindrical PEM fuel cell was designed to achieve high power and low open circuit voltage with high ohmic resistance, achieving a current density of 400mA/cm2 at 0.6V and peak power of 2W.
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Use of Inverse Repeat Sequence (IRS) for Identification in Chemical Process Systems
TL;DR: In this paper, the utility of the inverse repeat sequence (IRS) signal in identification of chemical processes has been shown through the aid of continuous stirred tank reactor and fluidized catalytic cracking unit case studies.
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Data-based automated diagnosis and iterative retuning of proportional-integral (PI) controllers
TL;DR: In this paper, the Hurst exponent is introduced as a method for diagnosis of sluggish and aggressive control loop tuning, and new algorithms for using these tuning diagnosis methods for iterative retuning of PI controllers are proposed and investigated using simulation studies.
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A New Cluster Validity Index for Fuzzy Clustering
TL;DR: A new “Graded Distance index” (GD_index) is proposed for computing optimal number of fuzzy clusters for a given data set and the efficiency of this index is compared with well-known existing indices and tested on several data sets.
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Step response analysis of phosphoric acid fuel cell (PAFC) cathode through a transient model
TL;DR: In this article, a two-dimensional unsteady state model for simulating PAFC cathode is developed as an extension of the previously developed steady-state model, which is solved to study the impact of various parameters such as Tafel slope, diffusivity etc on the step response of the fuel cell.