A review of process fault detection and diagnosis: Part I: Quantitative model-based methods
…, R Rengaswamy, K Yin, SN Kavuri - Computers & chemical …, 2003 - Elsevier
Fault detection and diagnosis is an important problem in process engineering. It is the central
component of abnormal event management (AEM) which has attracted a lot of attention …
component of abnormal event management (AEM) which has attracted a lot of attention …
A review of process fault detection and diagnosis: Part III: Process history based methods
…, R Rengaswamy, SN Kavuri… - Computers & chemical …, 2003 - Elsevier
In this final part, we discuss fault diagnosis methods that are based on historic process
knowledge. We also compare and evaluate the various methodologies reviewed in this series in …
knowledge. We also compare and evaluate the various methodologies reviewed in this series in …
A review of process fault detection and diagnosis: Part II: Qualitative models and search strategies
…, R Rengaswamy, SN Kavuri - Computers & chemical …, 2003 - Elsevier
In this part of the paper, we review qualitative model representations and search strategies
used in fault diagnostic systems. Qualitative models are usually developed based on some …
used in fault diagnostic systems. Qualitative models are usually developed based on some …
Neural network decomposition strategies for large-scale fault diagnosis
SN KAVURI… - International journal of …, 1994 - Taylor & Francis
… discussed elsewhere (Kavuri and Venkatasubramanian … to approximate the data (Kavuri
and Venkatasubramanian 1993b). … may be found in Kavuri and Venkatasubramanian (1993a). …
and Venkatasubramanian 1993b). … may be found in Kavuri and Venkatasubramanian (1993a). …
Solving the hidden node problem in networks with ellipsoidal units and related issues
SN Kavuri… - [Proceedings 1992] IJCNN …, 1992 - ieeexplore.ieee.org
A feedforward network with a single hidden layer of ellipsoidal units is considered. A fuzzy-clustering
algorithm based on a modified version of Kohonen's self-organizing feature maps …
algorithm based on a modified version of Kohonen's self-organizing feature maps …
Integrating Unsupervised and Supervised Learning in Neural Networks for Fault Diagnosis
V Venkatasubramanian, SN Kavuri - Batch Processing Systems …, 1996 - Springer
Recently, there has been considerable interest in the use of neural networks for fault
diagnosis applications. To overcome the main limitations of the neural networks approach, …
diagnosis applications. To overcome the main limitations of the neural networks approach, …
Application of Artificial Intelligence on Camera-Based Human Pose Prediction for Yoga: A Methodological Study
R Kavuri, M Bangari, H Yarram, H Talari - International Conference on …, 2023 - Springer
Due to the physical, mental, and psychological advantages yoga offers the human body, it
has evolved into the main activity of the majority of people. Artificial intelligence is developing …
has evolved into the main activity of the majority of people. Artificial intelligence is developing …
A framework for integrating diagnostic knowledge with nonlinear optimization for data reconciliation and parameter estimation in dynamic systems
P Vachhani, R Rengaswamy… - Chemical Engineering …, 2001 - Elsevier
Dynamic data reconciliation and parameter estimation are challenging problems for large,
nonlinear process systems due to problem size and complexity, and the effects of …
nonlinear process systems due to problem size and complexity, and the effects of …
[CITATION][C] A review of process fault detection and diagnosis, Part I: Quantitative model-based methods. Computers in Chemical Engineering
…, R Rengaswamy, K Yin, SN Kavuri - 2003 - Elsevier
[CITATION][C] A review of process fault detection an d diagnosis
VR Rengaswamy, SN Kavuri - PartⅢ: Process history based methods [J1. Computers …