hustcxl / Signal_processing_in_PHM

Nonstationary signal processing for mechanical fault diagnosis, literature, scholars

Non-stationary_signal_processing

Nonstationary signal processing for mechanical fault diagnosis, literature, scholars

1.review papers

• Feng, Z., D. Zhang and M.J. Zuo, Adaptive Mode Decomposition Methods and Their Applications in Signal Analysis for Machinery Fault Diagnosis: A Review With Examples. IEEE Access, 2017. 5: p. 24301-24331. link
• Yang, Y., et al., Parameterised time-frequency analysis methods and their engineering applications: A review of recent advances. Mechanical Systems and Signal Processing, 2019. 119: p. 182-221. link
• Liu, T., et al., A Comparative Study of Four Kinds of Adaptive Decomposition Algorithms and Their Applications. Sensors (Basel, Switzerland), 2018. 18(7): p. 2120. link
• Uma Maheswari, R. and R. Umamaheswari, Trends in non-stationary signal processing techniques applied to vibration analysis of wind turbine drive train – A contemporary survey. Mechanical Systems and Signal Processing, 2017. 85: p. 296-311. link
• Qiao, W. and D. Lu, A Survey on Wind Turbine Condition Monitoring and Fault Diagnosis—Part II: Signals and Signal Processing Methods. IEEE Transactions on Industrial Electronics, 2015. 62(10): p. 6546-6557. link
• Rai, A. and S.H. Upadhyay, A review on signal processing techniques utilized in the fault diagnosis of rolling element bearings. Tribology International, 2016. 96: p. 289-306. link
• Feng, Z., M. Liang and F. Chu, Recent advances in time–frequency analysis methods for machinery fault diagnosis: A review with application examples. Mechanical Systems and Signal Processing, 2013. 38(1): p. 165-205. link
• Delvecchio, S., P. Bonfiglio and F. Pompoli, Vibro-acoustic condition monitoring of Internal Combustion Engines: A critical review of existing techniques. Mechanical Systems and Signal Processing, 2018. 99: p. 661-683. link

2.Time domain analysis

• Vold-Kalman flitering

3.Frequency domain analysis

4.Time-frequency analysis

Linear time–frequency representation

• Short time Fourier transform
• Wavelet transform

Bilinear time–frequency distribution

• Wigner–Ville distribution
• Cohen class distributions
• Affine class distributions
• Adaptive optimal kernel function
• Reassigned bilinear time–frequency distribution

Time-varying higher order spectra

• Wigner higher order spectrum
• L-class and S-class distributions

Adaptive parametric time–frequency analysis

• Atomic decomposition
• Matching pursuit
• Basis pursuit

Time–frequency ARMA models

• TFMA parameter estimation
• TFAR parameter estimation
• TFARMA parameter estimation
• TFARMA order estimation

Adaptive non-parametric time–frequency analysis

• Hilbert–Huang transform
• Local mean decomposition
• Energy separation algorithm

Parameterised time-frequency analysis

• Yang, Y., et al., Parameterised time-frequency analysis methods and their engineering applications: A review of recent advances. Mechanical Systems and Signal Processing, 2019. 119: p. 182-221.link