Fault Diagnosis

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 …

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Biswajit Sahoo

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. …

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Biswajit Sahoo

Data-Driven Machinery Fault Diagnosis

Aim of this project is to produce reproducible results in condition monitoring. We will apply some of the standard machine learning techniques to publicly available machinery …