Surface roughness plays a pivotal role in assessing machining quality, and numerous
research efforts have been devoted to predicting surface roughness in turning processes …

Mechanical fault diagnosis and detection are crucial for enhancing equipment reliability,
economic efficiency, production safety, and energy conservation. In the era of Industry 4.0 …

Aiming to extract the weak composite fault characteristics of a rolling bearing under harsh
operation conditions, a novel composite fault diagnosis method for bearings based on …

Surface roughness is a critical indicator of machining quality and is affected by factors such
as tool quality, workpiece properties, and machining conditions. Many studies have focused …

Fault diagnosis in industrial machinery ensures operational efficiency and prevents
downtimes. However, compound faults present a significant challenge due to their complex …

In the domain of signal analysis for machinery health monitoring and fault diagnosis, this
paper introduces a comprehensive methodology that integrates Variational Mode …

Detection of compound fault in rotating machinery under complex operation environment is
a challenge in fault diagnosis. Machine learning occupies an important position in the field …

In the field of high slope deformation monitoring, the deformation data obtained are often
characterized by high volatility, strong nonlinearity, and noise content, due to the influence of …