References
- Bin, G. F., J. J. Gao, X. J. Li, and B. S. Dhillon. 2012. “Early Fault Diagnosis of Rotating Machinery Based on Wavelet packets-Empirical Mode Decomposition Feature Extraction and Neural Network.” Mechanical Systems and Signal Processing 27: 696–711. doi:https://doi.org/10.1016/j.ymssp.2011.08.002.
- Bokoski, P., and D. Juricic. 2012. “Fault Detection of Mechanical Drives under Variable Operating Conditions Based on Wavelet Packet Renyi Entropy Signatures.” Mechanical Systems and Siganl Processing 31: 369–381. doi:https://doi.org/10.1016/j.ymssp.2012.04.016.
- Boškoski, P. 2012. “JURI ČI Ć D J. Renyi Entropy Based Statistical Complexity Analysis for Gear Fault Prognostics under Variableload.” In edited by Đani Juričić Condition Monitoring of Machinery in Non-Stationary Operations, 25–32. Berlin: Springer.
- Colominas, M. A., S. Meignen, and D. H. Pham. 2019. “Time-Frequency Filtering Based on Model Fitting in the Time-Frequency Plane.” IEEE Signal Processing Letters 26 (5): 660–664. doi:https://doi.org/10.1109/LSP.2019.2904148.
- Dong, S. J., B. P. Tang, and R. X. Chen. 2013. “Bearing Running State Recognition Based on Non-extensive Wavelet Feature Scale Entropy and Support Vector Machine.” Measurement 46 (10): 4189–4199. doi:https://doi.org/10.1016/j.measurement.2013.07.011.
- Donoho, D. L. 2006. “Compressed Sensing.” IEEE Transactions on Information Theory 52 (4): 1289-1306. doi:https://doi.org/10.1109/TIT.2006.871582.
- Donoho, D. L., M. Elad, and V. N. Temlyakov. 2006. “Stable Recovery of Sparse Overcomplete Representation in the Presence of Noise.” IEEE Transactions on Information Theory 52: 6–18. doi:https://doi.org/10.1109/TIT.2005.860430.
- Elad, M., and M. Aharon. 2006. “Image Denoising via Sparse and Redundant Representations over Learned Dictionaries.” IEEE Transactions on Information Theory 15 (12): 3736–3745.
- Feng, Q., L. Jiang, and D. W. Coit. 2016. “Reliability Analysis and Condition-based Maintenance of Systems with Dependent Degrading Components Based on Thermodynamic Physics-of-failure.” The International Journal of Advanced Manufacturing Technology 86 (1): 1–11. doi:https://doi.org/10.1007/s00170-015-8220-x.
- Feng, Z. P., M. Liang, and F. L. Chu. 2013. “Recent Advances in Time-frequency Analysis Methods for Machinery Fault Diagnosis: A Review with Applications Examples.” Mechanical Systems and Signal Processing 38 (1): 165–205. doi:https://doi.org/10.1016/j.ymssp.2013.01.017.
- Foucart, S., and H. Rauhut. 2013. A Mathematical Introduction to Compressive Sensing. New York: Springer.
- Frei, M. G., and I. Osorio. 2007. “Intrinsic Time-scale Decomposition: Time-frequency-energy Analysis and Real-time Filtering of Non-stationary Signals.” Proceedings of the Royal Society of London A: Mathematical, Physical and Engineering Sciences 463 (2078): 321–342. doi:https://doi.org/10.1098/rspa.2006.1761.
- Huang, Y. X., C. L. Liu, X. F. Zha, and Y. M. Li. 2009. “An Enhanced Feature Extraction Model Using Lifting-based Wavelet Packet Transform Scheme and Sampling Importance Resampling Analysis.” Mechanical Systems and Signal Processing 23 (8): 2470–2487. doi:https://doi.org/10.1016/j.ymssp.2009.06.003.
- Ji, S., D. Dunson, and L. Carin. 2009. “Multi-task Compressive Sensing.” IEEE Transactions on Signal Process 57 (1): 92–106.
- Li, Y., M. Xu, Y. Wei, W. Huang. 2016. “Health Condition Monitoring and Early Fault Diagnosis of Bearings Using SDF and Intrinsic Characteristic-Scale Decomposition.” IEEE Transactions on Instrumentation and Measurement 65 (9): 2174–2189. doi:https://doi.org/10.1109/TIM.2016.2564078.
- Liu, L. S., Y. H. Yang, Z. Y. Li, and W. Yu. 2011. “Condition Monitoring for Helicopter Main Gearbox Based on Wavelet Packet Transform and Wavelet Neural Network.” International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering, 454–458, Xi’an, June 17–19.
- Liu, Z. L., J. Qu, M. J. Zuo, and H. B. Xu. 2013. “Fault Level Diagnosis for Planetary Gearboxes Using Hybrid Kernel Feature Selection and Kernel Fisher Discriminant Analysis.” International Journal of Advanced Manufacturing Technology 67: 1217–1230. doi:https://doi.org/10.1007/s00170-012-4560-y.
- Luo, S. R., J. S. Cheng, and Y. Yang. 2013. “Machine Fault Diagnosis Method Using ITD and Variable Predictive Model-based Class Discrimination.” Journal of Vibration and Shock 32 (13): 43–48.
- Ma, Y. F., X. S. Jia, Q. W. Hu, D. M. Xu, C. Guo, Q. Wang, S. Wang, et al. 2019. “Laplace Prior-based Bayesian Compressive Sensing Using K-SVD for Vibration Signal Transmission and Fault Detection.” Electronics 8 (5): 517. doi:https://doi.org/10.3390/electronics8050517.
- Morales-Perez, C., J. J. Rangel-Magdaleno, H. Peregrina-Barreto, J. P. Amezquita-Sanchez, M. Valtierra-Rodriguez. 2018. “Incipient Broken Rotor Bar Detection in Induction Motors Using Vibration Signals and the Orthogonal Matching Pursuit Algorithm.” IEEE Transactions on Instrumentation and Measurement 67 (9): 2058–2068. doi:https://doi.org/10.1109/TIM.2018.2813820.
- Mota, J. F. C., J. M. F. Xavier, P. M. Q. Aguiar, M. Puschel. 2010. “Distributed Basis Pursuit.” IEEE Transactions on Signal Processing 60 (4): 1942–1956. doi:https://doi.org/10.1109/TSP.2011.2182347.
- Pan, Y., J. Chen, and L. Guo. 2009. “Robust Bearing Performance Degradation Assessment Method Based on Improved Wavelet Packet-support Vector Data Description.” Mechanical Systems and Signal Processing 23 (3): 669–681. doi:https://doi.org/10.1016/j.ymssp.2008.05.011.
- Pan, Y., J. Chen, and X. L. Li. 2010. “Bearing Performance Degradation Assessment Based on Lifting Wavelet Packet Decomposition and Fuzzy C-Means.” Mechanical Systems and Signal Processing 24 (2): 559–566. doi:https://doi.org/10.1016/j.ymssp.2009.07.012.
- Park, C., D. Moon, N. Do, and S. M. Bae. 2016. “A Predictive Maintenance Approach Based on Real-time Internal Parameter Monitoring.” The International Journal of Advanced Manufacturing Technology 85 (1): 623–632. doi:https://doi.org/10.1007/s00170-015-7981-6.
- Rahmani, H., D. Q. Huynh, A. Mahmood, and A. Mian. 2016. “Discriminative Human Action Classification Using Locality-constrained Linear Coding.” Pattern Recognition Letters 72: 62–71. doi:https://doi.org/10.1016/j.patrec.2015.07.015.
- Si, X. S. 2015. “An Adaptive Prognostic Approach via Nonlinear Degradation Modeling: Application to Battery Data.” IEEE Transactions on Industrial Informatics Electronics 62 (8): 5082–5095. doi:https://doi.org/10.1109/TIE.2015.2393840.
- Sun, J., H. R. Li, and B. H. Xu. 2016. “The Morphological Undecimated Wavelet Decomposition-discrete Cosine Transform Composite Spectrum Fusion Algorithm and Its Application on Hydraulic Pumps.” Measurement 94: 794–805. doi:https://doi.org/10.1016/j.measurement.2016.09.024.
- Theodoridis, S. 2010. Konstantinos Koutroumbas. Pattern Recognition. 4th ed. Beijing: Publishing house of electronics industry.
- Wang, C., M. Gan, and C. A. Zhu. 2015. “Fault Feature Extraction of Rolling Element Bearings Based on Wavelet Packet Transform and Sparse Representation Theory.” Journal of Intelligent Manufacturing 29 (4): 937–951. doi:https://doi.org/10.1007/s10845-015-1153-2.
- Wang, C., M. Gan, and C. A. Zhu. 2019. “A Supervised Sparsity-based Wavelet Feature for Bearing Fault Diagnosis.” Journal of Intelligent Manufacturing 30 (1): 229–239. doi:https://doi.org/10.1007/s10845-016-1243-9.
- Wang, H., and T. Celik. 2018. “Sparse Representation-based Hyperspectral Image Classification.” Signal, Image and Video Processing 12 (5): 1009–1017. doi:https://doi.org/10.1007/s11760-018-1249-1.
- Wang, Y., E. W. M. Ma, and T. W. S. Chow. 2014. “And Tsui K L. A Two-step Parametric Method for Failure Prediction in Hard Disk Drives.” IEEE Transactions on Industrial Informatics 10 (1): 419–430. doi:https://doi.org/10.1109/TII.2013.2264060.
- Yang, B., R. Liu, and X. Chen. 2018. “Sparse Time-Frequency Representation for Incipient Fault Diagnosis of Wind Turbine Drive Train.” IEEE Transactions on Instrumentation and Measurement 67 (11): 2616–2627. doi:https://doi.org/10.1109/TIM.2018.2828739.
- Yang, Y., H. H. Wang, Z. T. Yu. 2012. “A Rotor Fault Diagnosis Method Based on ITD Improved Algorithm and Correlation Dimension.” Journal of Vibration and Shock 31 (23): 67–70.
- Yang, Z. S., Z. H. Yu, C. Xie, and Y. F. Huang. 2014. “Application of Hilbert-huang Transform to Acoustic Emission Signal for Burn Feature Extraction in Surface Grinding Process.” Measurement 47: 14–21. doi:https://doi.org/10.1016/j.measurement.2013.08.036.
- Yeh, J. R., and J. S. Shieh. 2010. “Complementary Ensemble Empirical Mode Decomposition: A Novel Noise Enhanced Data Analysis Method.” Advances in Adaptive Data Analysis 2 (2): 135–156. doi:https://doi.org/10.1142/S1793536910000422.
- Zeng, M., W. Zhang, and Z. Chen. 2019. “Group-Based K-SVD Denoising for Bearing Fault Diagnosis.” IEEE Sensors Journal 19 (15): 6335–6343. doi:https://doi.org/10.1109/JSEN.7361.
- Zhang, X. L., Q. Zhang, X. R. Qin, Y. Sun. 2016. “Rolling Bearing Fault Diagnosis Based on ITD Lempel-Ziv Complexity and PSO-SVM.” Journal of Vibration and Shock 35 (24): 102–107.