In the event of mechanical equipment failure, the fault may not belong to any known
category, and existing deep learning methods often misclassify such faults into a known …

The reliability and safety of launch vehicle launch missions might be effectively increased
thanks to the fault prediction and health management (PHM) technology of engines, which …

Given the strategic role that maintenance assumes in achieving profitability and
competitiveness, many industries are dedicating many efforts and resources to improve their …

Damage detection is an important part of modern-day engineering. Early damage detection
is facilitated by Structural Health Monitoring methods, which may be employed using …

The development of a machine's condition monitoring system is often a challenging task.
This process requires the collection of a sufficiently large dataset on signals from machine …

Featured Application The proposed system is designed for the estimation of a rotating
machine's condition, based on the acoustic signal that the machine generates. According to …

Real-time fault detection via sensor signal analyses is widely performed in
electromechanical systems to prevent sudden stops and the resulting losses, which requires …

In the paper a simple unsupervised monitoring method of rotary machines is proposed. The
method consists of three stages–multi-reference preliminary analysis of the vibration signals …

The application of data-driven fault diagnosis techniques is becoming increasingly prevalent
in the realm of intelligent health management for industrial equipment. These techniques …