Research on weak signal feature extraction method of rolling bearing based on refined composite multi-scale weighted entropy
D Xu, J Shao, J Ge, Y Wang, F Wei, Y Fan - Machines, 2022 - mdpi.com
Rolling bearing health status monitoring is essential for identifying early failures and
avoiding un-planned downtime in industrial systems. To overcome the problems of existing …
avoiding un-planned downtime in industrial systems. To overcome the problems of existing …
On multi-fault detection of rolling bearing through probabilistic principal component analysis denoising and Higuchi fractal dimension transformation
X Yang, Y Xiang, B Jiang - Journal of Vibration and Control, 2022 - journals.sagepub.com
Bearing multi-fault detection from stochastic vibration signal is still a thorny task to dispose of
because of the complex interplay between different fault components under severe noise …
because of the complex interplay between different fault components under severe noise …
Localization Method of Loose Particles Based on Chaos Theory and Particle Swarm Optimization-Back-Propagation Neural Network
Z Sun, G Wang, M Gao, Y Gao, L Guo - SAE International Journal of …, 2022 - sae.org
Loose particles inside the additional pipe of a rocket engine are an important factor that
causes propulsion system failure. For loose particles inside the additional pipe, it is …
causes propulsion system failure. For loose particles inside the additional pipe, it is …
Nonlinear distribution of the gearbox dynamic model including tooth cracks
Gearboxes are a widely used component in the industry due to their motion and power
transmission flexibilities in compact structures. Lots of work have been already presented …
transmission flexibilities in compact structures. Lots of work have been already presented …
Early fault diagnostic system for rolling bearing faults in wind turbines
The operation and maintenance costs of wind farms are always high due to high labor costs
and the high replacement cost of parts. Thus, it is of great importance to have real-time …
and the high replacement cost of parts. Thus, it is of great importance to have real-time …