Yu, "Multi-fault diagnosis of gearbox based on resonance-based signal sparse decomposition and comb filter," Measurement, vol. 103, pp. 361-369, 2017.Zhang D. C., Yu D. J. Multi-fault diagnosis of gearbox based
Progressive Divide-and-Conquer via Subsampling Decomposition for Accelerated MRI Chong Wang, Lanqing Guo, Yufei Wang, Hao Cheng, Yi Yu, Bihan Wen [2024] [CVPR 2024 Highlight] [Paper][Github] An improved low-rank plus sparse unrolling network method for dynamic magnetic resonance imaging ...
Magnetic resonance imaging (MRI) is a medical imaging technique used to show anatomical structures and physiological processes of the human body. Due to limitations like image acquisition time, hardware capabilities, or uncooperative patients, the resolution of MR images is insufficient. Super-resolution...
resonance-based sparse signal decomposition; signal processing; mechanical fault diagnosis; feature extraction1. Introduction With the rapid development of modern industry, mechanical equipment, the industrial heart, is developing towards the direction of large scale, high speed, high accuracy and system ...
Keywords: ship-radiated noise; resonance-based sparse signal decomposition; manifold learning; phase space reconstruction; resonance-based time-frequency manifold 1. Introduction Underwater ship-radiated noise, in which entire spectra are widely distributed from as low as 5 Hz to as high as 100 KHz...
In order to obtain valuable feature information from the vibration signals acquired by the transducers, various signal processing techniques, such as spectral kurtosis (SK) [1], empirical mode decomposition (EMD) [2], sparse representation [3], and wavelet transform (WT) [4], etc., have been...
Wang, Resonance-Based Sparse Signal Decomposition and its Application in Mechanical Fault Diagnosis: A Review, Sensors, 17, 2017, p.1279.Huang, W.; Sun, H.; Wang, W. Resonance-based sparse signal decomposition and its application in m...
In this paper, a novel decomposition method, optimal resonance-based signal spares decomposition, is applied for the detection of those two types of faults in the rotating machinery. This method is based on the resonance-based signal spares decomposition, which can nonlinearly decompose vibration ...
A Time-Frequency Analysis Method for Low Frequency Oscillation Signals Using Resonance-Based Sparse Signal Decomposition and a Frequency Slice Wavelet Transform. Energies 2016, 9, 151. [CrossRef]Zhao, Y.; Li, Z.; Nie, Y. A time-frequency analysis method for low frequency oscillation signals ...
This paper proposes a new fault diagnosis method based on the resonance-based sparse signal decomposition (RB-SSD) and permutation entropy(PE). In this method, RB-SSD method is first used to decompose the processed signal into nonlinear independent components according to its different oscillating ...