Analysis of vibration signals for a ball bearing-rotor system with raceway local defects and rotor eccentricity
R Yang, Z Zhang, Y Chen - Mechanism and Machine Theory, 2022 - Elsevier
The transient impulses are one of the most important features for the defective bearing
diagnosis. Many methods like the envelope analysis are created to analyze the fault …
diagnosis. Many methods like the envelope analysis are created to analyze the fault …
[HTML][HTML] Multi-sensor fault diagnosis based on time series in an intelligent mechanical system
Z Xu, Q Li, L Qian, M Wang - Sensors, 2022 - mdpi.com
Intelligent mechanical systems are a focused area nowadays. One of the requirements of
intelligent mechanical systems is to achieve intelligent fault diagnosis through the real-time …
intelligent mechanical systems is to achieve intelligent fault diagnosis through the real-time …
Convolutional neural networks based on parallel multi-scale pooling branch: A transfer diagnosis method for mechanical vibrational signal with less computational …
Y Zhang, G Cheng, L He - Measurement, 2022 - Elsevier
Traditional fault diagnosis models based on machine learning technology are difficult to
apply to data samples under different working conditions. In a working environment that can …
apply to data samples under different working conditions. In a working environment that can …
GPR denoising via shearlet transformation and a data‐driven tight frame
Ground‐penetrating radar (GPR) is commonly used to detect buried and near‐surface
geophysical structures. GPR denoising is necessary because some level of interference …
geophysical structures. GPR denoising is necessary because some level of interference …