All Outputs (2)

Enhancing Gearbox Fault Diagnosis through Advanced Feature Engineering and Data Segmentation Techniques (2024)
Journal Article
Shukla, K., Holderbaum, W., Theodoridis, T., & Wei, G. (in press). Enhancing Gearbox Fault Diagnosis through Advanced Feature Engineering and Data Segmentation Techniques. Machines, 12(4), 261. https://doi.org/10.3390/machines12040261

Efficient gearbox fault diagnosis is crucial for the cost-effective maintenance and reliable operation of rotating machinery. Despite extensive research, effective fault diagnosis remains challenging due to the multitude of features available for cla... Read More about Enhancing Gearbox Fault Diagnosis through Advanced Feature Engineering and Data Segmentation Techniques.

A heuristic approach on predictive maintenance techniques : limitations and scope (2022)
Journal Article
Shukla, K., Nefti-Meziani, S., & Davis, S. (2022). A heuristic approach on predictive maintenance techniques : limitations and scope. Advances in Mechanical Engineering, 14(6), https://doi.org/10.1177/16878132221101009

In view of the trend towards Industry 4.0, intelligent predictive monitoring and decision-making processes have become a crucial requirement in today’s manufacturing industries to safeguard data exchange and industrial assets from damage that would t... Read More about A heuristic approach on predictive maintenance techniques : limitations and scope.