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20132016
most citedSparsity-based Algorithm for Detecting Faults in Rotating Machines

162 citations · 324 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SD2016★ 67 cited

Repetitive Transients Extraction Algorithm for Detecting Bearing Faults

Wangpeng He, Yin Ding, Yanyang Zi +1

This paper addresses the problem of noise reduction with simultaneous components extrac- tion in vibration signals for faults diagnosis of bearing. The observed vibration signal is…

cs.SD2015★ 67 cited

Detection of Faults in Rotating Machinery Using Periodic Time-Frequency Sparsity

Yin Ding, Wangpeng He, Binqiang Chen +2

This paper addresses the problem of extracting periodic oscillatory features in vibration sig- nals for detecting faults in rotating machinery. To extract the feature, we propose a…

cs.SD2015★ 162 cited

Sparsity-based Algorithm for Detecting Faults in Rotating Machines

Wangpeng He, Yin Ding, Yanyang Zi +1

This paper addresses the detection of periodic transients in vibration signals for detecting faults in rotating machines. For this purpose, we present a method to estimate periodic…

cs.LG2015★ 26 cited

Sparsity-based Correction of Exponential Artifacts

Yin Ding, Ivan W. Selesnick

This paper describes an exponential transient excision algorithm (ETEA). In biomedical time series analysis, e.g., in vivo neural recording and electrocorticography (ECoG), some me…

cs.LG2013★ 2 cited

Sparse Frequency Analysis with Sparse-Derivative Instantaneous Amplitude and Phase Functions

Yin Ding, Ivan W. Selesnick

This paper addresses the problem of expressing a signal as a sum of frequency components (sinusoids) wherein each sinusoid may exhibit abrupt changes in its amplitude and/or phase.…