Novel self-adaptive vibration signal analysis: concealed component decomposition and its application in bearing fault diagnosis

Advance spectral approach for condition evaluation of rolling element bearings

(2020) Prashant Tiwari et al.   ISA TRANSACTIONS

Decentralized modal identification of structures using an adaptive empirical mode decomposition method

(2019) M. Lazhari et al.   JOURNAL OF SOUND AND VIBRATION

A simple and fast guideline for generating enhanced/squared envelope spectra from spectral coherence for bearing fault diagnosis

(2019) Dong Wang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Comparative analysis of signal processing techniques for impedance-based SHM applications in noisy environments

(2019) Bruno Albuquerque de Castro et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

An integrated approach to bearing prognostics based on EEMD-multi feature extraction, Gaussian mixture models and Jensen-Rényi divergence

(2018) Akhand Rai et al.   APPLIED SOFT COMPUTING

Modified complementary ensemble empirical mode decomposition and intrinsic mode functions evaluation index for high-speed train gearbox fault diagnosis

(2018) Dongyue Chen et al.   JOURNAL OF SOUND AND VIBRATION

Crack detection in the rotor ball bearing system using switching control strategy and Short Time Fourier Transform

(2018) Rajiv Kumar Vashisht et al.   JOURNAL OF SOUND AND VIBRATION

Revised empirical wavelet transform based on auto-regressive power spectrum and its application to the mode decomposition of deployable structure

(2018) Zhijun Luo et al.   JOURNAL OF SOUND AND VIBRATION

Time–frequency analysis based on ensemble local mean decomposition and fast kurtogram for rotating machinery fault diagnosis

(2018) Lei Wang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Vibration effect analysis of roller dynamic unbalance on the cage of high-speed cylindrical roller bearing

(2018) Yongcun Cui et al.   JOURNAL OF SOUND AND VIBRATION

An adaptive and tacholess order analysis method based on enhanced empirical wavelet transform for fault detection of bearings with varying speeds

(2017) Yue Hu et al.   JOURNAL OF SOUND AND VIBRATION

Fault detection in rotating machines with beamforming: Spatial visualization of diagnosis features

(2017) E. Cardenas Cabada et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Research on variational mode decomposition in rolling bearings fault diagnosis of the multistage centrifugal pump

(2017) Ming Zhang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Bearing performance degradation assessment based on a combination of empirical mode decomposition and k-medoids clustering

(2017) Akhand Rai et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Envelope analysis of rotating machine vibrations in variable speed conditions: A comprehensive treatment

(2017) D. Abboud et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Time-frequency representation based on robust local mean decomposition for multicomponent AM-FM signal analysis

(2017) Zhiliang Liu et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Gearbox fault diagnosis under non-stationary conditions with independent angular re-sampling technique applied to vibration and sound emission signals

(2017) Amandeep Singh et al.   APPLIED ACOUSTICS

Deterministic-random separation in nonstationary regime

(2016) D. Abboud et al.   JOURNAL OF SOUND AND VIBRATION

Envelope synchronous average scheme for multi-axis gear faults detection

(2016) Yu Guo et al.   JOURNAL OF SOUND AND VIBRATION

A probability evaluation method of early deterioration condition for the critical components of wind turbine generator systems

(2016) Yaogang Hu et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Removal of salt-and-pepper noise in corrupted image using three-values-weighted approach with variable-size window

(2016) Ching-Ta Lu et al.   PATTERN RECOGNITION LETTERS

Adaptive variational mode decomposition based on artificial fish swarm algorithm for fault diagnosis of rolling bearings

(2016) Jun Zhu et al.   PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE

A review on signal processing techniques utilized in the fault diagnosis of rolling element bearings

(2016) Akhand Rai et al.   TRIBOLOGY INTERNATIONAL

An approach using ensemble empirical mode decomposition to remove noise from prototypical observations on dam safety

(2016) Huaizhi Su et al.   SpringerPlus

Demodulation for hydraulic pump fault signals based on local mean decomposition and improved adaptive multiscale morphology analysis

(2015) Wanlu Jiang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Rolling element bearing diagnostics using the Case Western Reserve University data: A benchmark study

(2015) Wade A. Smith et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Impact of turbulence on the prediction of linear aeroacoustic interactions: Acoustic response of a turbulent shear layer

(2014) Jannis Gikadi et al.   JOURNAL OF SOUND AND VIBRATION

Rolling bearing diagnosing method based on Empirical Mode Decomposition of machine vibration signal

(2013) Jacek Dybała et al.   APPLIED ACOUSTICS

Vibration model of rolling element bearings in a rotor-bearing system for fault diagnosis

(2013) Feiyun Cong et al.   JOURNAL OF SOUND AND VIBRATION

Identification of multiple transient faults based on the adaptive spectral kurtosis method

(2011) Yanxue Wang et al.   JOURNAL OF SOUND AND VIBRATION

Early fault diagnosis of rotating machinery based on wavelet packets—Empirical mode decomposition feature extraction and neural network

(2011) G.F. Bin et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Rotating machinery prognostics: State of the art, challenges and opportunities

(2008) Aiwina Heng et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Generalized sidelobe canceller based combined acoustic feedback- and noise cancellation

(2007) Geert Rombouts et al.   SIGNAL PROCESSING