Compression reconstruction and fault diagnosis of diesel engine vibration signal based on optimizing block sparse bayesian learning

HIGHLIGHTS

• who: Huajun Bai et al. from the Army Engineering University of PLA, China have published the paper: Compression Reconstruction and Fault Diagnosis of Diesel Engine Vibration Signal Based on Optimizing Block Sparse Bayesian Learning, in the Journal: Sensors 2022, 3884 of /2022/
• what: The usual approach to data compression is to collect data first then compress it; however the authors cannot ensure the correctness and efficiency of the data. optimization learning this research provides a method for compression reconstruction and fault diagnostics of diesel data. Applicationof ofCompressed Compressedand andReconstructed ReconstructedSignal Signalin inFault FaultDiagnosis Diagnosis To . . .
  

   

  

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