The acquired hob vibration signals are inevitably contaminated by noise in the industrial
environment, which changes the vibration signal frequency distribution and reduces the …

Intelligent fault diagnostics is an essential part of the concept of Industry 4.0. Most of the
developed techniques are usually tested by the same dataset whose data is acquired under …

As the main transportation equipment in ore mining, the wheel drive system of mining trucks
plays a crucial role in the transportation capacity of mining trucks. The internal components …

In large-scale power systems, accurately detecting and diagnosing the type of faults when
they occur in the grid is a challenging problem. The classification performance of most …

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 …

Compound gear-bearing faults that occur in real-time conditions lead components to fail
prematurely. Despite their significance in system failure, these compound faults are rarely …

Industrial system operations usually have dynamic characteristics. If these characteristics
are ignored, the performance of fault detection degrades. Herein, the fault-detection …

The performance of classifiers plays a crucial role in identifying fault categories under
mechanical fault diagnosis task. This paper presents a new intelligent classification …

Purpose Fault diagnosis for wind turbines can effectively reduce the impact of failures,
ensuring the safe and reliable operation of machinery equipment significantly and avoiding …

The rolling bearing is one of the commonly used mechanical components in rotating
machinery, and its health directly affects the normal operation of equipment. However, the …