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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A Review of Process Fault Detection and Diagnosis Part I : Quantitative Model-Based Methods
TL;DR: This three part series of papers is to provide a systematic and comparative study of various diagnostic methods from different perspectives and broadly classify fault diagnosis methods into three general categories and review them in three parts.
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A review of process fault detection and diagnosis: Part III: Process history based methods
TL;DR: This final part discusses fault diagnosis methods that are based on historic process knowledge that need to be addressed for the successful design and implementation of practical intelligent supervisory control systems for the process industries.
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A review of process fault detection and diagnosis Part II : Qualitative models and search strategies
TL;DR: This part of the paper reviews qualitative model representations and search strategies used in fault diagnostic systems and broadly classify them as topographic and symptomatic search techniques.
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A syntactic pattern-recognition approach for process monitoring and fault diagnosis
TL;DR: A backpropagation-based neural network was trained to identify the presence of the appropriate primitives in a trend of noisy process data and a process grammar which can utilize both contextual and non-contextual information to perform error correction and explanation generation has been developed.
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Locating sensors in complex chemical plants based on fault diagnostic observability criteria
TL;DR: A digraph-based approach is proposed for the problem of sensor location for identification of faults and various graph algorithms that use the developed digraph in deciding the location of sensors based on the concepts of observability and resolution are discussed.