In his research, Raghunathan Rengaswamy undertakes multidisciplinary study on Artificial intelligence and Nanotechnology. In his study, he carries out multidisciplinary Nanotechnology and Artificial intelligence research. His research brings together the fields of Process control and Process (computing). His work on Process control is being expanded to include thematically relevant topics such as Operating system. In his research, he undertakes multidisciplinary study on Operating system and Process (computing). In his works, Raghunathan Rengaswamy conducts interdisciplinary research on Fault (geology) and Seismology. Raghunathan Rengaswamy performs multidisciplinary study in Seismology and Fault (geology) in his work. Raghunathan Rengaswamy incorporates Programming language and Constant (computer programming) in his studies. His Fault detection and isolation study often links to related topics such as Actuator.
Data mining and Algorithm are fields of study that overlap with his Artificial intelligence research. Raghunathan Rengaswamy brings together Algorithm and Artificial intelligence to produce work in his papers. Much of his study explores Quantum mechanics relationship to Nonlinear system and Power (physics). His study ties his expertise on Quantum mechanics together with the subject of Power (physics). Raghunathan Rengaswamy combines topics linked to Control theory (sociology) with his work on Control (management). Much of his study explores Control theory (sociology) relationship to Control (management). His study deals with a combination of Process (computing) and Operating system. Raghunathan Rengaswamy connects Operating system with Process (computing) in his study. Raghunathan Rengaswamy performs integrative study on Seismology and Fault (geology).
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A Review of Process Fault Detection and Diagnosis Part I : Quantitative Model-Based Methods
Venkat Venkatasubramanian;Raghunathan Rengaswamy;Kewen Yin;Surya N. Kavuri.
Computers & Chemical Engineering (2003)
A review of process fault detection and diagnosis: Part III: Process history based methods
Venkat Venkatasubramanian;Raghunathan Rengaswamy;Surya N. Kavuri;Kewen Yin.
Computers & Chemical Engineering (2003)
A review of process fault detection and diagnosis Part II : Qualitative models and search strategies
Venkat Venkatasubramanian;Raghunathan Rengaswamy;Surya N. Kavuri.
Computers & Chemical Engineering (2003)
A syntactic pattern-recognition approach for process monitoring and fault diagnosis
Raghunathan Rengaswamy;Venkat Venkatasubramanian.
Engineering Applications of Artificial Intelligence (1995)
Locating sensors in complex chemical plants based on fault diagnostic observability criteria
Rao Raghuraj;Mani Bhushan;Raghunathan Rengaswamy.
Aiche Journal (1999)
Fault diagnosis using dynamic trend analysis: A review and recent developments
Mano Ram Maurya;Raghunathan Rengaswamy;Venkat Venkatasubramanian.
Engineering Applications of Artificial Intelligence (2007)
Fuzzy-logic based trend classification for fault diagnosis of chemical processes
Sourabh Dash;Raghunathan Rengaswamy;Venkat Venkatasubramanian.
Computers & Chemical Engineering (2003)
Application of signed digraphs-based analysis for fault diagnosis of chemical process flowsheets
Mano Ram Maurya;Raghunathan Rengaswamy;Venkat Venkatasubramanian.
Engineering Applications of Artificial Intelligence (2004)
Robust and reliable estimation via Unscented Recursive Nonlinear Dynamic Data Reconciliation
Pramod Vachhani;Shankar Narasimhan;Raghunathan Rengaswamy.
Journal of Process Control (2006)
A Review of Solid Oxide Fuel Cell (SOFC) Dynamic Models
Debangsu Bhattacharyya;Raghunathan Rengaswamy.
Industrial & Engineering Chemistry Research (2009)
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