Prognostic and health management (PHM) is an approach that allows real-time health
monitoring of any system. With the advancement of Industry 4.0, which integrates updated …

To tackle the issue of limited sample data in small sample fault diagnosis for rolling bearings
using deep learning, we propose a fault diagnosis method that integrates a KANs-CNN …

This paper proposes a lateral-stability-oriented path-tracking controller for four-wheel
independent drive (4WID) autonomous vehicles. The proposed controller aims to maintain …

Rolling bearings are critical components in many machines, and their performance is vital to
ensure the smooth and efficient operation of various industrial systems. Accurate fault …

Due to their precision, compact size, and high torque transfer, Rotate vector (RV) reducers
are becoming more popular in industrial robots. However, repetitive operations and varying …

The reliability of electric vehicles (EVs) is crucial for the performance and safety of modern
transportation systems. Electric motors are the driving force in EVs, and their maintenance is …

Wind turbines are the most frequently used objects of renewable energy today. However,
issues that arise during their operation can greatly affect their effectiveness. Blade erosion …

A method is proposed for fault classification in milling machines using advanced image
processing and machine learning. First, raw data are obtained from real-world industries …

This study proposes a fault diagnosis method for harmonic drive systems based on multi-
sensor data fusion and the gravitational search algorithm (GSA). As a critical component in …

Aiming to address the difficulty in extracting the early weak fault features of bearings under
complex operating conditions, a fault diagnosis method is proposed based on the adaptive …