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A Time-Frequency Acoustic Emission-Based Technique to Assess Workpiece Surface Quality in Ceramic Grinding with PZT Transducer.

, , , , , , , , and . Sensors, 19 (18): 3913 (2019)

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Neural Network Applied to Detect Burn in Grinding., , , , and . Artificial Intelligence and Applications, page 831-836. IASTED/ACTA Press, (2005)In-process grinding monitoring by acoustic emission., , , and . ICASSP (5), page 405-408. IEEE, (2004)In-Dressing Acoustic Map by Low-Cost Piezoelectric Transducer., , , , and . IEEE Trans. Ind. Electron., 67 (8): 6927-6936 (2020)Erratum: Aulestia Viera, M., et al. A Time-Frequency Acoustic Emission-Based Technique to Assess Workpiece Surface Quality in Ceramic Grinding with PZT Transducer. Sensors 2019, 19, 3913., , , , , , , , and . Sensors, 20 (8): 2387 (2020)A Time-Frequency Acoustic Emission-Based Technique to Assess Workpiece Surface Quality in Ceramic Grinding with PZT Transducer., , , , , , , , and . Sensors, 19 (18): 3913 (2019)Spectra Measurements Using Piezoelectric Diaphragms to Detect Burn in Grinding Process., , , , , and . IEEE Trans. Instrumentation and Measurement, 66 (11): 3052-3063 (2017)In-process thermal damage detection in grinding with monitoring via Internet., , and . ICARCV, page 270-275. IEEE, (2002)Neural network approach for surface roughness prediction in surface grinding., , , , , and . Artificial Intelligence and Applications, page 111-117. IASTED/ACTA Press, (2007)