A Comparative Study of Four Kinds of Adaptive Decomposition Algorithms and Their Applications. - Tao Liu 039; Zhijun Luo; Jiahong Huang; Shaoze Yan (Sensors, 2018)

Sliding time-frequency synchronous average based on autocorrelation function for extracting fault feature of bearings. - Tao Liu 039; Laixing Li; Yongbo Li; Khandaker Noman (Adv. Eng. Informatics, 2024)

Local maximum instantaneous extraction transform based on extended autocorrelation function for bearing fault diagnosis. - Tao Liu 039; Laixing Li; Khandaker Noman; Yongbo Li (Adv. Eng. Informatics, 2024)

A post-processing method called Fourier transform based on local maxima of autocorrelation function for extracting fault feature of bearings. - Tao Liu 039; Xinsan Li; Junshuai Sun; Mindong Lyu; Shaoze Yan (Adv. Eng. Informatics, 2024)

A bearing fault extraction method combining time-frequency mode decomposition based on local maxima with amplitude z-scores. - Tao Liu 039; Xinsan Li; Mindong Lyu; Shaoze Yan (Adv. Eng. Informatics, 2025)

Extended Sliding Time Synchronous Averaging for Enhancing Weak Fault Feature of Rolling Bearings. - Laixing Li; Yongbo Li; Tao Liu 039; Khandaker Noman; Huijun Shi; Shuai Shi (IEEE Trans. Instrum. Meas., 2025)

Time-Frequency Mode Adaptive Decomposition Based on the Maximum Kurtosis for Extracting Fault Component of Bearings. - Tao Liu 039; Shufeng Wang; Xinsan Li; Yongbo Li; Khandaker Noman (IEEE Trans. Instrum. Meas., 2025)