Bearing is an important component in mechanical equipment. Its main function is to support
the rotating mechanical body and reduce the friction coefficient and axial load. In the actual …

Data‐driven fault diagnosis has prevailed in machine condition monitoring in the past
decades. However, traditional machine‐and deep‐learning‐based fault diagnosis methods …

In this paper, a new fractional-order (FO) PIλDµ controller is designed with the desired gain
and phase margin for the automatic rudder of underactuated surface vessels (USVs). The …

Gear fault diagnosis (GFD) based on vibration signals is a popular research topic in industry
and academia. This paper provides a comprehensive summary and systematic review of …

As the key equipment for train operation, the switch machine plays a vital role in the safe and
punctual operation of the trains. Nowadays, the fault diagnosis methods of switch machine …

To improve the diagnosis of Lupus Nephritis (LN), a multilevel LN image segmentation
method is developed in this paper based on an improved slime mould algorithm. The search …

An effort has been made to synthesize nanocomposites of TiO 2/jackfruit peel via green
synthesis. Various concentration of the synthesized nanocomposite (0.1%, 0.2% and 0.3%) …

The ant colony optimization algorithm is a classical swarm intelligence algorithm, but it
cannot be used for continuous class optimization problems. A continuous ant colony …

Solar photovoltaic (PV) model parameter estimation research is a growing field of interest.
To establish accurate and reliable PV models, including single diode, double diode, three …

Nonoverlap** sequential pattern mining (SPM) is a data analysis task, which aims at
identifying repetitive sequential patterns with gap constraint in a set of discrete sequences …