Fault Severity Monitoring of Rolling Bearings Based on Texture Feature Extraction of Sparse Time–Frequency Images

Improved Wind Speed Prediction Using Empirical Mode Decomposition

(2018) Y. ZHANG et al.   Advances in Electrical and Computer Engineering

Bearing faults diagnosis using fuzzy expert system relying on an Improved Range Overlaps and Similarity method

(2018) Toufik Berredjem et al.   EXPERT SYSTEMS WITH APPLICATIONS

Development and trend of condition monitoring and fault diagnosis of multi-sensors information fusion for rolling bearings: a review

(2018) Zhihe Duan et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Early fault diagnosis of bearing and stator faults of the single-phase induction motor using acoustic signals

(2018) Adam Glowacz et al.   MEASUREMENT

A review on data-driven fault severity assessment in rolling bearings

(2018) Mariela Cerrada et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Rolling Bearing Fault Diagnosis Based on an Improved HTT Transform

(2018) et al.   SENSORS

Seismic signal time-frequency analysis based on multi-directional window using greedy strategy

(2017) Yingpin Chen et al.   JOURNAL OF APPLIED GEOPHYSICS

A comparison of cepstral editing methods as signal pre-processing techniques for vibration-based bearing fault detection

(2017) Cédric Peeters et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Parameter estimation of maneuvering targets in OTHR based on sparse time-frequency representation

(2016) Jinfeng Hu et al.   Journal of Systems Engineering and Electronics

Gray level co-occurrence matrix algorithm as pattern recognition biosensor for oxidopamine-induced changes in lymphocyte chromatin architecture

(2016) Igor Pantic et al.   JOURNAL OF THEORETICAL BIOLOGY

A gearbox fault diagnosis method based on frequency-modulated empirical mode decomposition and support vector machine

(2016) Chao Zhang 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

Quantitative diagnosis of fault severity trend of rolling element bearings

(2015) Lingli Cui et al.   Chinese Journal of Mechanical Engineering

Fault feature extraction of rolling element bearings based on wavelet packet transform and sparse representation theory

(2015) Cong Wang et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Fault diagnosis of rolling element bearing based on S transform and gray level co-occurrence matrix

(2015) Minghang Zhao et al.   MEASUREMENT SCIENCE and TECHNOLOGY

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

Classification of time–frequency images based on locality-constrained linear coding optimization model for rotating machinery fault diagnosis

(2015) Wei-Gang Wang et al.   PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE

High Resolution Time-Frequency Distribution Based on Short-Time Sparse Representation

(2014) Zhen Liu et al.   CIRCUITS SYSTEMS AND SIGNAL PROCESSING

Condition assessment for the performance degradation of bearing based on a combinatorial feature extraction method

(2014) Sheng Hong et al.   DIGITAL SIGNAL PROCESSING

The optimal fractional Gabor transform based on the adaptive window function and its application

(2013) Ying-Pin Chen et al.   Applied Geophysics

Aliasing-free micro-Doppler analysis based on short-time compressed sensing

(2013) Zhen Liu et al.   IET Signal Processing

Performance degradation assessment of rolling bearing based on bispectrum and support vector data description

(2013) Hongchao Wang et al.   JOURNAL OF VIBRATION AND CONTROL

Application of order cyclostationary demodulation to damage detection in a direct-driven wind turbine bearing

(2013) Xiaofeng Liu et al.   MEASUREMENT SCIENCE and TECHNOLOGY

Recent advances in time–frequency analysis methods for machinery fault diagnosis: A review with application examples

(2013) Zhipeng Feng et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Sparse Time–Frequency Decomposition and Some Applications

(2012) Ali Gholami   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

A new procedure for using envelope analysis for rolling element bearing diagnostics in variable operating conditions

(2012) P. Borghesani et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Convex optimization problem prototyping for image reconstruction in computed tomography with the Chambolle–Pock algorithm

(2012) Emil Y Sidky et al.   PHYSICS IN MEDICINE AND BIOLOGY

Sparse representation and learning in visual recognition: Theory and applications

(2012) Hong Cheng et al.   SIGNAL PROCESSING

Classification of time–frequency representations based on two-direction 2DLDA for gear fault diagnosis

(2011) Bing Li et al.   APPLIED SOFT COMPUTING

A First-Order Primal-Dual Algorithm for Convex Problems with Applications to Imaging

(2010) Antonin Chambolle et al.   JOURNAL OF MATHEMATICAL IMAGING AND VISION

Feature extraction for rolling element bearing fault diagnosis utilizing generalized S transform and two-dimensional non-negative matrix factorization

(2010) Bing Li et al.   JOURNAL OF SOUND AND VIBRATION

Rolling element bearing diagnostics—A tutorial

(2010) Robert B. Randall et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Time–frequency feature representation using energy concentration: An overview of recent advances

(2008) Ervin Sejdić et al.   DIGITAL SIGNAL PROCESSING

Fault severity assessment for rolling element bearings using the Lempel–Ziv complexity and continuous wavelet transform

(2008) Hoonbin Hong et al.   JOURNAL OF SOUND AND VIBRATION