Fault diagnosis of rotating electrical machines using multi-label classification
Fault Detection and Diagnosis of electrical machine and drive systems are of utmost
importance in modern industrial automation. The widespread use of Machine Learning …
importance in modern industrial automation. The widespread use of Machine Learning …
An Efficient Siamese Network and Transfer Learning-Based Predictive Maintenance System for More Sustainable Manufacturing
Legacy machinery poses a specific challenge when integrated into modern manufacturing
lines. While modern machinery provides swift methods of integration and inbuilt predictive …
lines. While modern machinery provides swift methods of integration and inbuilt predictive …
A Novel Method for Bearing Fault Diagnosis Based on Novel Feature Sets With Machine Learning Technique
AR Mali, PV Shinde, AP Patil… - Journal of …, 2025 - asmedigitalcollection.asme.org
Bearings often experience small and medium raceway damage due to operating and
loading conditions, which induces abnormal dynamic behavior. The rotor-bearing system is …
loading conditions, which induces abnormal dynamic behavior. The rotor-bearing system is …
Investigation of Data Compression Methods for Intelligent Machine Condition Monitoring
X Tang - 2020 - eprints.hud.ac.uk
Condition monitoring (CM) deliveries significant benefits to the industry by minimising
breakdown losses and enhancing the safety and high-performance operation of machinery …
breakdown losses and enhancing the safety and high-performance operation of machinery …