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 …
Biswajit Sahoo, A. R. Mohanty
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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 …
Biswajit Sahoo, A. R. Mohanty
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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 datasets and show the results with code for fault diagnosis task. This is an ongoing project and will evolve over time. Related notebooks and data can be found at this github page.
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