Ke Feng
Zitiert von
Zitiert von
A fault diagnosis method for planetary gearboxes under non-stationary working conditions using improved Vold-Kalman filter and multi-scale sample entropy
Y Li, K Feng, X Liang, MJ Zuo
Journal of Sound and Vibration 439, 271-286, 2019
Vibration-based updating of wear prediction for spur gears
K Feng, P Borghesani, WA Smith, RB Randall, ZY Chin, J Ren, Z Peng
Wear 426, 1410-1415, 2019
A fault information-guided variational mode decomposition (FIVMD) method for rolling element bearings diagnosis
Q Ni, JC Ji, K Feng, B Halkon
Mechanical Systems and Signal Processing 164, 108216, 2022
A phase angle based diagnostic scheme to planetary gear faults diagnostics under non-stationary operational conditions
K Feng, K Wang, Q Ni, MJ Zuo, D Wei
Journal of Sound and Vibration 408, 190-209, 2017
Use of cyclostationary properties of vibration signals to identify gear wear mechanisms and track wear evolution
K Feng, WA Smith, P Borghesani, RB Randall, Z Peng
Mechanical Systems and Signal Processing 150, 107258, 2021
An enhanced morphology gradient product filter for bearing fault detection
Y Li, MJ Zuo, Y Chen, K Feng
Mechanical Systems and Signal Processing 109, 166-184, 2018
A diagnostic signal selection scheme for planetary gearbox vibration monitoring under non-stationary operational conditions
K Feng, KS Wang, M Zhang, Q Ni, MJ Zuo
Measurement Science and Technology 28 (3), 035003, 2017
Fault diagnosis of rolling bearing under speed fluctuation condition based on Vold-Kalman filter and RCMFE
Y Li, Y Wei, K Feng, X Wang, Z Liu
IEEE Access 6, 37349-37360, 2018
A novel correntropy-based band selection method for the fault diagnosis of bearings under fault-irrelevant impulsive and cyclostationary interferences
Q Ni, JC Ji, K Feng, B Halkon
Mechanical Systems and Signal Processing 153, 107498, 2021
A case study of sample entropy analysis to the fault detection of bearing in wind turbine
Q Ni, K Feng, K Wang, B Yang, Y Wang
Case studies in engineering failure analysis 9, 99-111, 2017
Vibration-based monitoring and prediction of surface profile change and pitting density in a spur gear wear process
K Feng, WA Smith, RB Randall, H Wu, Z Peng
Mechanical Systems and Signal Processing 165, 108319, 2022
Detection of Bearing Faults Using a Novel Adaptive Morphological Update Lifting Wavelet
YF Li, MJ Zuo, K Feng, YJ Chen
Chinese Journal of Mechanical Engineering 30 (6), 1305-1313, 2017
Data-driven prognostic scheme for bearings based on a novel health indicator and gated recurrent unit network
Q Ni, J Ji, K Feng
IEEE Transactions on Industrial Informatics, 2022
Use of an improved vibration-based updating methodology for gear wear prediction
K Feng, WA Smith, Z Peng
Engineering Failure Analysis, 105066, 2020
Application of order-tracking holospectrum to cracked rotor fault diagnostics under nonstationary conditions
P Chen, K Wang, K Feng
2016 Prognostics and system health management conference (PHM-Chengdu), 1-6, 2016
An order spectrum based selection method to Vold-Kalman filter bandwidth
K Feng, K Wang, L Song, K Wang
Jixie Gongcheng Xuebao/J. Vib. Eng 30, 319-324, 2017
A signal selection scheme through order tracking techniques for planetary gearbox condition monitoring
K Feng, KS Wang, P Chen
2016 Prognostics and System Health Management Conference (PHM-Chengdu), 1-5, 2016
A novel cyclic-correntropy based indicator for gear wear monitoring
K Feng, JC Ji, Y Li, Q Ni, H Wu, J Zheng
Tribology International 171, 107528, 2022
Experiment and data description of the lab planetary gearbox with sun gear faults
K Feng, X Liang, K Wang, JF Liu, MJ Zuo
Reliability Research Lab Mechanical Engineering Department. University Alta …, 2016
A novel adaptive bandwidth selection method for Vold–Kalman filtering and its application in wind turbine planetary gearbox diagnostics
K Feng, JC Ji, Q Ni
Structural Health Monitoring, 14759217221099966, 2022
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