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Sri Rajkavin AV

affiliation not provided to SSRN

SCHOLARLY PAPERS

1

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0

Scholarly Papers (1)

1.

Acoustic Emission-Based Intelligent Wear Detection for Spatiotemporal Data in Cnc Drill Bit Using Ceemdan for Feature Extraction and Convlstm for Fault Classification

Number of pages: 41 Posted: 29 May 2025
National University of science and Technology,Oman, affiliation not provided to SSRN, affiliation not provided to SSRN and University of Science and Technology of China (USTC)
Downloads 36 (1,263,436)

Abstract:

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Complete Ensemble Mode Decomposition with Adaptive Noise (CEEMDAN), convLSTM, Tool wear, Condition monitoring, Acoustic Emission Sensor, NI DAQ and LabVIEW