Bat algorithm (BA) is one of the promising metaheuristic algorithms. It proved its efficiency in
dealing with various optimization problems in diverse fields, such as power and energy …

Rotating machinery is widely applied in various types of industrial applications. As a
promising field for reliability of modern industrial systems, early fault diagnosis (EFD) …

Machinery fault diagnosis has progressed over the past decades with the evolution of
machineries in terms of complexity and scale. High-value machineries require condition …

Predictive maintenance is one of the major tasks in today's modern industries. All rotating
machines consisting of rotating elements such as gears, bearings etc are considered as the …

Bearings are typically used in wind turbines to support shafts and gears that increase
rotational speed from a low speed rotor to a higher speed electrical generator. For various …

Rotating machinery—a crucial component in modern industry, requires vigilant monitoring
such that any potential malfunction of its electromechanical systems can be detected prior to …

Deep learning-based fault diagnosis models have been demonstrated to recognise machine
health conditions from vibration data. However, most related studies have focused on lateral …

Feature selection is a challenging task, specifically in achieving an optimal solution. This is
due to the difficulties in choosing the most suitable feature selection method as they tend to …

The parameter selection of the traditional BP neural network (BPNN) has randomness,
which makes the network prone to local extreme values during the calculation process. In …

An automatic fault diagnosis method for the wind turbine generator system (WTGS) driven by
vibration signal is proposed in this paper. In this method, the vibration signal is used to drive …