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All Journal Jurnal Riset Statistika Bandung Conference Series: Statistics STATISTIKA
Sutawanir Darwis
Statistika, Universitas Islam Bandung
Decision Sciences, Operations Research & Management Education Mathematics

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Journal : STATISTIKA

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Exploring Pattern Recognition for Bearing Fault Diagnosis Sutawanir Darwis; Nusar Hajarisman; Suliadi; Achmad Widodo; Rejeki Wulan Islamiyati
Statistika Vol. 22 No. 2 (2022): Statistika
Publisher : Department of Statistics, Faculty of Mathematics and Natural Sciences, Universitas Islam Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/statistika.v22i2.1128

Abstract

Traditional bearing sensory diagnostic include touching and hearing rely on personal experience, and for more complex system are unable to meet the needs of equipment fault diagnosis. The research on bearing fault diagnosis is developing significantly. Bearings are used in rotating machinery and most machinery failures are caused by bearing failures. The fault diagnosis of bearings is an important research area. The core of bearing fault diagnosis is the pattern recognition of fault features. The key of pattern recognition is to develop a reasonable classifier. Intelligent pattern recognition has been developed such as principal components, support vector machine, neural network. In this study, a bearing fault diagnosis based on exploring pattern recognition is proposed. The key to pattern recognition is to design a significant classifier. A number of features from bearing vibration of normal and fault bearing are extracted and processed using principal components of correlation matrix. Plot of principal components shows the visualization of normal and fault bearing and the classifier is chosen subjectively. The principal components exploration will be confirmed using least squares support vector machine. The parameter of support vector machine estimated using heuristic optimization particle swarm optimization. The proposed method can be applied in the detection of faults of bearing
Co-Authors Achmad Widodo Anggi Priliani Yulianto Gimma Sefira Alamsya Nusar Hajarisman Rejeki Wulan Islamiyati Silvya Rahmatiara Putri Suliadi Uun Unaijah