Automated sensor selection and fusion for monitoring and diagnostics of plunge grinding

Journal of Manufacturing Science and Engineering

Volumn 130, Issue 3, 2008, Pages 0310141-03101411

  Subrahmanya, Niranjan ^a   Shin, Yung C ^a  

^a PURDUE UNIVERSITY   (United States)

Author keywords

Feature selection; Grinding; Least squares support vector machine; Leave one out error; Machine learning; Process monitoring; Sensor fusion

Indexed keywords

ACOUSTIC EMISSION TESTING; APPROXIMATION ALGORITHMS; FEATURE EXTRACTION; GRINDING (MACHINING); LEARNING SYSTEMS; PROCESS CONTROL; PROCESS MONITORING; SUPPORT VECTOR MACHINES; VIBRATIONS (MECHANICAL); WEAR OF MATERIALS; WHEELS;

LEAST SQUARES SUPPORT VECTOR MACHINES; LEAVE ONE OUT ERRORS; MONITORING AND DIAGNOSTICS; ON-LINE MONITORING SYSTEM; PARAMETER-FREE MODELING; PROCESS MONITORING SYSTEM; SENSOR FUSION; WORKPIECE VIBRATIONS;

MONITORING;

EID: 49749103098     PISSN: 10871357     EISSN: None     Source Type: Journal    
DOI: 10.1115/1.2927439     Document Type: Article

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