Fault Features Diagnosis Method of Rolling Bearing via Optimized S Synchroextracting Transform.

The CTIgram: A Novel Optimal Demodulation Band Selection Method and Its Applications in Condition Monitoring of Rotating Machinery.

The amplitude modulation bispectrum: A weak modulation features extracting method for bearing fault diagnosis.

Cepsogram: A Novel Fault Characteristics Extracting Strategy of Rolling Bearings Based on Cepstrum and Spectral Negentropy.

Optimization of Ramanujan Subspace Periodic and Its Application in Identifying Industrial Bearing Fault Features.

A Tacholess Order Tracking Method Based on Spectral Amplitude Modulation for Variable Speed Bearing Fault Diagnosis.

A Method for Extracting Fault Features Using Variable Multilevel Spectral Segmentation Framework and Harmonic Correlation Index.

Variable spectral segmentation empirical wavelet transform for noisy signal processing.

Negentropy Spectrum Decomposition and Its Application in Compound Fault Diagnosis of Rolling Bearing.

An Adaptive Spectrum Segmentation Method to Optimize Empirical Wavelet Transform for Rolling Bearings Fault Diagnosis.