TAILIEUCHUNG - Feature extraction and optimized support vector machine for severity fault diagnosis in ball bearing

In this paper, a method for severity fault diagnosis of ball bearings is presented. The method is based on wavelet packet transform (WPT), statistical parameters, principal component analysis (PCA) and support vector machine (SVM). The key to bearing faults diagnosis is features extraction. | Feature extraction and optimized support vector machine for severity fault diagnosis in ball bearing Engineering Solid Mechanics 4 2016 167-176 Contents lists available at GrowingScience Engineering Solid Mechanics homepage esm Feature extraction and optimized support vector machine for severity fault diagnosis in ball bearing Tawfik Thelaidjiaabc Abdelkrim Moussaouib and Salah Chenikherc a Department of Electrical Engineering and Automatic. University of 08 Mai 1985 Guelma University Algeria b Laboratory of Electrical Engineering of Guelma Guelma University Algeria c Laboratory of Electrical Engineering LABGET Tebessa University. Algeria A R T I C L EI N F O ABSTRACT Article history In this paper a method for severity fault diagnosis of ball bearings is presented. The method is Received 6 March 2016 based on wavelet packet transform WPT statistical parameters principal component analysis Accepted 30 June 2016 PCA and support vector machine SVM . The key to bearing faults diagnosis is features Available online extraction. Hence the proposed technique consists of preprocessing the bearing fault vibration 30 June 2016 Keywords signal using statistical parameters and energy obtained through the application of Db8- WPT Fault Diagnosis at the third level of decomposition. After feature extraction from vibration signal PCA is Particle Swarm Optimization with employed for dimensionality reduction. Finally particle swarm optimization with passive Passive Congregation congregation-based support vector machine is used to classify seven kinds of bearing faults. Principal Component Analysis The classification results indicate the effectiveness of the proposed method for severity faults Statistical Parameters diagnosis in ball bearings. Support Vector Machine Wavelet Packet Transform 2016 Growing Science Ltd. All rights reserved. 1. Introduction Rotating machinery is used in a wide variety of industrial applications including aircraft engines wind .

• Cơ khí - Chế tạo máy
• Particle Swarm Optimization with Passive Congregation
• Principal Component Analysis
• Support Vector Machine
• Wavelet Packet Transform
• Optimized support vector machine