Application of Cluster Analysis for Classification of Vibration Signals from Drilling Stand Aggregates

• Published in: Applied sciences Vol. 13; no. 10; p. 6337
• Main Authors: Flegner, Patrik, Kačur, Ján, Frančáková, Rebecca, Durdán, Milan, Laciak, Marek
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.05.2023
• Subjects: Aggregates; Artificial intelligence; Classification; cluster; Cluster analysis; Drilling; Drilling and boring; drilling stand; Energy consumption; Machine learning; Oil and gas field equipment; Process controls; symptom vector; Vibration; vibration signal

Rotary drilling technology with diamond tools is still essential in progressively extracting the earth’s resources. Since investigating the disintegration mechanism in actual conditions is very difficult, the practice must start with laboratory research. Identifying and classifying the drilling stan...