1 T. Liu, "Zero crossing and coupled hidden Markov model for a rolling bearing performance degradation assessment" 20 : 2487-2500, 2014
2 J. C. Guo, "Tool condition monitoring in milling process using multifractal detrended fluctuation analysis and support vector machine" 11 : 1445-1456, 2020
3 S. Khatir, "Structural health monitoring using modal strain energy damage indicator coupled with teaching-learning-based optimization algorithm and isogoemetric analysis" 448 : 230-246, 2019
4 F. Jiang, "Sparse dictionary design based on edited cepstrum and its application in rolling bearing fault diagnosis" 490 : 115704-, 2021
5 D. Z. Zhao, "Signal optimization based generalized demodulation transform for rolling bearing nonstationary fault characteristic extraction" 134 : 106297-, 2019
6 L. Xu, "Rolling element bearing diagnosis based on singular value decomposition and composite squared envelope spectrum" 148 : 107174-, 2021
7 B. Wang, "Rolling bearing performance degradation condition recognition based on mathematical morphological fractal dimension and fuzzy C-means" 109 : 1-8, 2017
8 W. Y. Huang, "Rolling bearing fault diagnosis and performance degradation assessment under variable operation conditions based on nuisance attribute projection" 114 : 165-188, 2019
9 B. Muruganatham, "Roller element bearing fault diagnosis using singular spectrum analysis" 35 : 150-166, 2013
10 Z. Meng, "Remaining useful life prediction of rolling bearing using fractal theory" 156 : 107572-, 2020
1 T. Liu, "Zero crossing and coupled hidden Markov model for a rolling bearing performance degradation assessment" 20 : 2487-2500, 2014
2 J. C. Guo, "Tool condition monitoring in milling process using multifractal detrended fluctuation analysis and support vector machine" 11 : 1445-1456, 2020
3 S. Khatir, "Structural health monitoring using modal strain energy damage indicator coupled with teaching-learning-based optimization algorithm and isogoemetric analysis" 448 : 230-246, 2019
4 F. Jiang, "Sparse dictionary design based on edited cepstrum and its application in rolling bearing fault diagnosis" 490 : 115704-, 2021
5 D. Z. Zhao, "Signal optimization based generalized demodulation transform for rolling bearing nonstationary fault characteristic extraction" 134 : 106297-, 2019
6 L. Xu, "Rolling element bearing diagnosis based on singular value decomposition and composite squared envelope spectrum" 148 : 107174-, 2021
7 B. Wang, "Rolling bearing performance degradation condition recognition based on mathematical morphological fractal dimension and fuzzy C-means" 109 : 1-8, 2017
8 W. Y. Huang, "Rolling bearing fault diagnosis and performance degradation assessment under variable operation conditions based on nuisance attribute projection" 114 : 165-188, 2019
9 B. Muruganatham, "Roller element bearing fault diagnosis using singular spectrum analysis" 35 : 150-166, 2013
10 Z. Meng, "Remaining useful life prediction of rolling bearing using fractal theory" 156 : 107572-, 2020
11 C. K. Peng, "Quantification of scaling exponents and crossover phenomena in nonstationary heartbeat time series" 5 : 82-87, 1995
12 J. M. Li, "Multiscale local features learning based on BP neural network for rolling bearing intelligent fault diagnosis" 153 : 107419-, 2020
13 X. Y. Tang, "Multifractal detrended fluctuation analysis parallel optimization strategy based on openMP for imgae processing" 32 : 5599-5608, 2020
14 J. W. Kantelhardt, "Multifractal detrended fluctuation analysis of nonstationary time series" 316 : 87-114, 2002
15 S. Khatir, "Improved ANN technique combined with Jaya algorithm for crack identification in plates using XIGA and experimental analysis" 107 : 102554-, 2020
16 P. E. William, "Identification of bearing faults using time domain zero-crossings" 25 : 3078-3088, 2011
17 F. Z. Göğüş, "Identification of Apnea-Hypopnea index subgroups based on multifractal detrended fluctuation analysis and nasal cannula airflow signals" 37 : 145-156, 2020
18 J. David, "HMM conditionallikelihood based change detection with strict delay tolerance" 147 : 107109-, 2021
19 C. Kranthikumar, "Fish sound characterization using multifractal detrended fluctuation analysis" 19 : 2050009-, 2020
20 W. L. Du, "Fault diagnosis using adaptive multifractal detrended fluctuation analysis" 67 : 2272-2282, 2020
21 H. M. Liu, "Fault diagnosis of electromechanical actuator based on VMD multifractal detrended fluctuation analysis and PNN" 2 : 9154682-, 2018
22 P. N. V. D. V. Eluri, "Fault analysis in photovoltaic generation based on DC microgrid using multifractal detrended fluctuation analysis" 31 : e12564-, 2020
23 S. Khatir, "Fast simulations for solving fracture mechanics inverse problems using POD-RBF XIGA and Jaya algorithm" 205 : 285-300, 2019
24 J. M. Li, "Extraction of frictional vibration feature with multifractal detrended fluctuation analysis and friction state recognition" 12 : 272-, 2020
25 Y. Wang, "Detection of weak transient signals based on wavelet packet transform and manifold learning for rolling element bearing fault diagnosis" 54-55 : 259-276, 2015
26 L. T. Chen, "Detection of weak transient signals based on unsupervised learning for bearing fault diagnosis" 314 : 445-457, 2018
27 J. D. Zheng, "Composite multi-scale weighted permutation entropy and extreme learning machine based intelligent fault diagnosis for rolling bearing" 143 : 69-80, 2019
28 J. A. Hernandez-Muriel, "Bearing health monitoring using relief-F-based feature relevance analysis and HMM" 10 : 5170-, 2020
29 E. P. D. Moura, "Applications of detrended-fluctuation analysis to gearbox fault diagnosis" 23 : 682-689, 2009
30 S. G. Kumbhar, "An integrated approach of adaptive neuro-fuzzy inference system and dimension theory for diagnosis of rolling element bearing" 166 : 108266-, 2020
31 X. Q. Li, "An enhanced selective ensemble deep learning method for rolling bearing fault diagnosis with beetle antennae search algorithm" 142 : 106752-, 2020
32 J. M. Li, "An enhanced rolling bearing fault detection method combining sparse code shrinkage denoising with fast spectral correlation" 102 : 335-346, 2020
33 Y. R. Jin, "Actual bearing compound fault diagnosis based on active learning and decoupling attentional residual network" 173 : 108500-, 2020
34 L. L. Cui, "A novel switching unscented kalman filter method for remaining useful life prediction of rolling bearing" 135 : 678-684, 2019
35 Y. N. Qian, "A multi-time scale approach to remaining useful life prediction in rolling bearing" 83 : 549-567, 2017
36 K. Yu, "A multi-stage semi-supervised learning approach for intelligent fault diagnosis of rolling bearing using data augmentation and metric learning" 146 : 107043-, 2021
37 A. Dibaj, "A hybrid finetuned VMD and CNN scheme for untrained compound fault diagnosis of rotating machinery with unequal-severity faults" 167 : 114094-, 2020
38 W. Z. Liao, "A heuristic optimization algorithm for HMM based on SA and EM in machinery diagnosis" 29 : 1845-1857, 2018
39 L. P. Huang, "A fault diagnosis approach for rolling bearing based on wavelet packet decomposition and GMM-HMM" 24 (24): 199-209, 2019