Monitoring vibrations in rotating machinery allows effective diagnostics, as abnormal
functioning states are related to specific patterns that can be extracted from vibration signals …

In recent years, vibration signals have been widely applied for the identification of
mechanical states in oil-immersed transformers. This paper, following the framework of …

As unmanned aerial vehicles (UAVs) are witnessing a rapid increase in usage in regard to
many different applications, it has become paramount to classify blade faults and …

This article proposes a fault diagnosis (FD) method that is based on bispectrum analysis and
a convolutional neural network (CNN) to identify bearing faults under inconsistent working …

The vibration of the rotating machinery for condition monitoring in gear fault detection is a
popular area of study. Reliable improvements to the rotating machinery can be obtained by …

As a crucial and widely used component in industrial fields with great complexity, the health
condition of rotating machinery is directly related to production efficiency and safety …

Internal combustion engines (ICEs) are the primary source of power generation in today's
driving vehicles. They convert the chemical energy of the fuel into the mechanical energy …

Piezoelectric materials are widely used as smart structure in various aerospace applications
as they can generate voltage, store charge and drive microelectronics directly because of its …

Featured Application The application of the article lies in the monitoring and diagnosis of
failures in gearbox and rotating machines. Abstract In gearboxes, the occurrence of …

Hypergravity accelerators are a type of large machinery used for gravity training or medical
research. A failure of such large equipment can be a serious problem in terms of safety or …