Gears are indispensable part of any industrial application. Gearbox have a rugged
construction and are subjected to extremely harsh environmental conditions in industries …

In fault diagnosis, machine learning theories are gaining popularity as they proved to be an
efficient tool that not only reduces human effort but also identifies the health conditions of the …

Gearboxes are widely used in industrial processes as mechanical power transmission
systems. Then, gearbox failures can affect other parts of the system and produce economic …

Condition monitoring is a major part of predictive maintenance which monitors a particular
condition in machinery to identify changes that could indicate a developing fault. It allows …

A hybrid model with multiple sub-classifier is a powerful classifier for intelligent fault
diagnosis of gearboxes. Each sub-classifier is used to deal with different gear or bearing …

Wind turbine gearboxes are known to be among the weakest components in the system and
the possibility to study and understand the behavior of geared transmissions when subject to …

Transmissions are extensively employed in mechanical gearboxes when power conversion
is required. Being able to provide specific maintenance is a crucial factor for both economics …

The worm wheel is the critical element and is vulnerable to failure due to fault occurring on it
that leads to downtime hampering productivity. The condition monitoring can predict …

Mechanical fault diagnosis and detection are crucial for enhancing equipment reliability,
economic efficiency, production safety, and energy conservation. In the era of Industry 4.0 …

Purpose Our main aim is to examine worm gearbox vibration analysis in order to find flaws.
To do the vibration study, an experimental setup was created. Induced defects of various …