Results 81 to 90 of about 228,051 (167)

Remaining Useful Life Prediction of Rolling Bearings Based on Multi-scale Permutation Entropy and ISSA-LSTM. [PDF]

Entropy (Basel), 2023
Wang H, Zhang X, Ren M, Xu T, Lu C, Zhao Z.   +5 more
europepmc   +1 more source

State monitoring of rolling bearings in vibration-based anchor drilling rig based on machine learning model. [PDF]

Sci Rep
Hou Q, Chen Z, Song Y, Wang X, Yu Z.
europepmc   +1 more source

A Multi-Featured Factor Analysis and Dynamic Window Rectification Method for Remaining Useful Life Prognosis of Rolling Bearings. [PDF]

Entropy (Basel), 2023
Peng C, Zhao Y, Li C, Tang Z, Gui W.
europepmc   +1 more source

PIFC-SABiLSTM: physics-inspired feature constraint with self-attention bidirectional LSTM for interpretable fault diagnosis of rolling bearings. [PDF]

Sci Rep
Qin W, Ma J, Peng Q.
europepmc   +1 more source

Life State Identification of Aerospace Rolling Bearings Based on MixStyle Meta Domain Adaptation

工程科学与技术
Objective Addressing the issues of inconsistent sample feature distribution due to variable operating conditions, limited trainable samples, and imbalanced sample quantities across different life states, which lead to low accuracy in the identification ...
YU Diguan, LI Feng, TANG Baoping, WANG Yongming, JI Yunkai, TIAN Daqing   +5 more
doaj  

AttenResNet18: A Novel Cross-Domain Fault Diagnosis Model for Rolling Bearings. [PDF]

Sensors (Basel)
Huang G, Wu S, Zhang Y, Wei W, Fu W, Zhang J, Yang Y, Fu J.   +7 more
europepmc   +1 more source

A New Approach to the Degradation Stage Prediction of Rolling Bearings Using Hierarchical Grey Entropy and a Grey Bootstrap Markov Chain. [PDF]

Sensors (Basel), 2023
Cheng L, Ma W, Gao Z.
europepmc   +1 more source

Kronecker convolutional feature pyramid for fault diagnosis in rolling bearings. [PDF]

Sci Rep
Batool S, Abid AA, Asif M, Abbas S, Adnan KM, Shah AA, Ghazal TM.   +6 more
europepmc   +1 more source

Intelligent Fault Diagnosis of Rolling Bearings Based on a Complete Frequency Range Feature Extraction and Combined Feature Selection Methodology. [PDF]

Sensors (Basel), 2023
Xue Z, Huang Y, Zhang W, Shi J, Luo H.
europepmc   +1 more source

Vibration and Stray Flux Signal Fusion for Corrosion Damage Detection in Rolling Bearings Using Ensemble Learning Algorithms. [PDF]

Sensors (Basel)
Pacheco-Guerrero JP, Zamudio-Ramírez I, Dunai L, Antonino-Daviu JA.   +3 more
europepmc   +1 more source