In-process endpoint detection of weld seam removal in robotic abrasive belt grinding process

This paper proposes a novel approach for in-process endpoint detection of weld seam removal during robotic abrasive belt grinding process using discrete wavelet transform (DWT) and support vector machine (SVM). A virtual sensing system is developed consisting of a force sensor, accelerometer sensor...

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Bibliographic Details
Published in:International journal of advanced manufacturing technology 2017-11, Vol.93 (5-8), p.1699-1714
Main Authors: Pandiyan, Vigneashwara, Tjahjowidodo, Tegoeh
Format: Article
Language:English
Subjects:
Abrasive belts
Accelerometers
Algorithms
Belt grinding
CAE) and Design
Computer-Aided Engineering (CAD
Diagnostic systems
Discrete Wavelet Transform
Engineering
Feature extraction
Grinding
Industrial and Production Engineering
Machine learning
Mechanical Engineering
Media Management
Original Article
Seams
Sensors
Support vector machines
Wavelet transforms
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Summary:This paper proposes a novel approach for in-process endpoint detection of weld seam removal during robotic abrasive belt grinding process using discrete wavelet transform (DWT) and support vector machine (SVM). A virtual sensing system is developed consisting of a force sensor, accelerometer sensor and machine learning algorithm. This work also presents the trend of the sensor signature at each stage of weld seam evolution during its removal process. The wavelet decomposition coefficient is used to represent all possible types of transients in vibration and force signals generated during grinding over weld seam. “Daubechies-4” wavelet function was used to extract features from the sensors. An experimental investigation using three different weld profile conditions resulting from the weld seam removal process using abrasive belt grinding was identified. The SVM-based classifier was employed to predict the weld state. The results demonstrate that the developed diagnostic methodology can reliably predict endpoint at which weld seam is removed in real time during compliant abrasive belt grinding.
ISSN:0268-3768
1433-3015
DOI:10.1007/s00170-017-0646-x