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Yanliang Ke

Beijing University of Chemical Technology

9

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56

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Compressive Sensing: A New Insight to Condition Monitoring of Rotary Machinery

2017
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Diagnosis of Compound Fault Using Sparsity Promoted-Based Sparse Component Analysis

2017 Sensors
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Feature extraction method for roller bearing based on Dempster-Shafer evidence

2017 ICMIC | International Conference on Modelling, Identification and Control
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Fault feature enhancement for roller bearing using a sparsity-promoted method

2017 PSHMC | Prognostics and System Health Management Conference
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Compressive sensing of roller bearing fault using tunable Q-factor wavelet transform

2016 IMTC | Instrumentation and Measurement Technology Conference
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A Two-Stage Compression Method for the Fault Detection of Roller Bearings

2016 Shock and Vibration
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Compressed sensing of roller bearing fault based on multiple down-sampling strategy

2016 Measurement Science and Technology
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A Sparsity-Promoted Decomposition for Compressed Fault Diagnosis of Roller Bearings

2016 Sensors
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