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Qing Ni
Qing Ni
Bestätigte E-Mail-Adresse bei student.uts.edu.au
Titel
Zitiert von
Zitiert von
Jahr
Optimal demodulation-band selection for envelope-based diagnostics: A comparative study of traditional and novel tools
WA Smith, P Borghesani, Q Ni, K Wang, Z Peng
Mechanical Systems and Signal Processing 134, 106303, 2019
662019
Composite multi-scale weighted permutation entropy and extreme learning machine based intelligent fault diagnosis for rolling bearing
J Zheng, Z Dong, H Pan, Q Ni, T Liu, J Zhang
Measurement 143, 69-80, 2019
582019
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
522022
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
452017
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
412017
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
282021
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
252017
Rolling element bearings fault diagnosis based on a novel optimal frequency band selection scheme
Q Ni, K Wang, J Zheng
IEEE Access 7, 80748-80766, 2019
222019
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
152022
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
52022
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
52022
Spectral envelope-based adaptive empirical Fourier decomposition method and its application to rolling bearing fault diagnosis
J Zheng, S Cao, H Pan, Q Ni
ISA transactions, 2022
52022
Partial ensemble approach to resolve the mode mixing of extreme-point weighted mode decomposition
J Zheng, J Tong, Q Ni, H Pan
Digital Signal Processing 89, 70-81, 2019
52019
Traversal index enhanced-gram (TIEgram): A novel optimal demodulation frequency band selection method for rolling bearing fault diagnosis under non-stationary operating conditions
X Wang, J Zheng, Q Ni, H Pan, J Zhang
Mechanical Systems and Signal Processing 172, 109017, 2022
22022
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