Machine Learning | Machine Bearing Fault Diagnosis System

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Author and Presenter: Muhammad Ahmed

Background:
A bearing fault is the leading cause of the entire rotating machinery system failure. The fault diagnosis of machinery consists of features extraction and fault classification. The main purpose of this research is to develop a platform with less complexity and more accuracy for the early fault detection in machines and classification of faults. This study also focuses to present efficient, low-cost, and more reliable methods for fault detection and diagnosis.

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