Sensors, vital elements in data acquisition systems, play a crucial role in various industries.
However, their exposure to harsh operating conditions makes them vulnerable to faults that …

This paper presents a novel approach by conducting a complexity-based study of an
electromechanical (EM) gearbox system with tooth root cracks, utilizing an analytical model …

Membrane dehydration or flooding fault is one of the main causes of performance
degradation for Proton Exchange Membrane Fuel Cell (PEMFC). Effective and accurate …

Gearboxes transfer rotational motion and handle precision functionalities in many fields,
including aviation, wind turbines, and industrial services. Their health management is …

The paper presents a higher order moment (HOM) based gearbox fault diagnosis in which
the logarithmic amplitude of HOM (LHOM) is proposed as a new feature for gearbox fault …

Deep-learning-based methods used for fault diagnosis show remarkable performance, and
these methods primarily learn features based on the time or frequency domain. Generally …

Bearings are vital components of motor drive systems and are widely used in various
industrial applications. Bearing failures can lead to system collapse and pose a risk to …

Deep learning-related technologies have achieved remarkable success in the field of
intelligent fault diagnosis. Nevertheless, the traditional intelligent diagnosis methods are …

Kinematic chains are crucial in numerous industrial settings, playing a key role in various
processes. Over recent years, several methods have been developed to monitor and …

Traditional methods of gearbox fault diagnosis rely heavily on manual experience. To
address this problem, our study proposes a gearbox fault diagnosis method based on …