Paper-Conference

Multiclass bearing fault classification using features learned by a deep neural network

Accurate classification of fault is important for condition based maintenance (CBM) applications. Two main approaches commonly used for fault classification are model-based and …

avatar
Biswajit Sahoo

Machine Learning, Regression, and Optimization

Machine learning is a subfield of artificial intelligence (AI). While AI is the ability of the machine to think like humans, machine learning is the ability of machine to learn …

biswa-nath-datta

Feature Subset Selection Using Sparse Principal Component Analysis and Multiclass Fault Classification Using Selected Features

Feature selection is one of the most important aspects of condition monitoring. The condition or health of a machinery is manifested in the form of changes to its signal features. …

avatar
Biswajit Sahoo