BEARING'S EARLY FAULT DETECTION USING VIBRATION ANALYSIS
Eissa, M., Gomaa, F., Khader, K. (2018). BEARING'S EARLY FAULT DETECTION USING VIBRATION ANALYSIS. EKB Journal Management System, 18(18th International Conference on Applied Mechanics and Mechanical Engineering.), 1-22. doi: 10.21608/amme.2018.34974
M. A. Eissa; F. R. Gomaa; K. M. Khader. "BEARING'S EARLY FAULT DETECTION USING VIBRATION ANALYSIS". EKB Journal Management System, 18, 18th International Conference on Applied Mechanics and Mechanical Engineering., 2018, 1-22. doi: 10.21608/amme.2018.34974
Eissa, M., Gomaa, F., Khader, K. (2018). 'BEARING'S EARLY FAULT DETECTION USING VIBRATION ANALYSIS', EKB Journal Management System, 18(18th International Conference on Applied Mechanics and Mechanical Engineering.), pp. 1-22. doi: 10.21608/amme.2018.34974
Eissa, M., Gomaa, F., Khader, K. BEARING'S EARLY FAULT DETECTION USING VIBRATION ANALYSIS. EKB Journal Management System, 2018; 18(18th International Conference on Applied Mechanics and Mechanical Engineering.): 1-22. doi: 10.21608/amme.2018.34974

BEARING'S EARLY FAULT DETECTION USING VIBRATION ANALYSIS

The International Conference on Applied Mechanics and Mechanical Engineering
Article 35, Volume 18, 18th International Conference on Applied Mechanics and Mechanical Engineering., April 2018, Page 1-22  XML PDF (2.97 MB)
Document Type: Original Article
DOI: 10.21608/amme.2018.34974
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Authors
M. A. Eissa1; F. R. Gomaa2; K. M. Khader3
1Graduate student, Dept. of Production Eng. and Mechanical Design, Faculty of Eng., Menoufia Univ., Shebin El-Kom, Menoufia, Egypt.
2Professor, Dept. of Production Eng. and Mechanical Design, Faculty of Eng., Menoufia Univ., Shebin El-Kom, Menoufia, Egypt.
3Associate professor, Dept. of Production Eng. and Mechanical Design, Faculty of Eng., Menoufia Univ., Shebin El-Kom, Menoufia, Egypt.
Abstract
ABSTRACT
Over recent decades, predictive maintenance's usage attracted the attention of
maintenance specialists in some important industries. Moreover, machinery condition
monitoring is an effective indicator for planning the maintenance schedules. Machine
monitoring or early detection of incipient fault is an important judgment tool of the
machine's health at critical parts such as; gears and bearings. Furthermore, vibrationmonitoring
process can be achieved by experienced operators using their visual
inspection. However, many specialists in maintenance field recommend using the
computerized inspection to meet increased demand for the automated monitoring
applications and helpful engineering software.
This paper deals with condition monitoring of machines in addition to designing
machine monitoring assisting tool as software for time saving. This software is
presented as fast tool affording instantaneous calculations of bearing fault
frequencies for different bearing types. In addition, the presented software can
instantaneously calculate the basic dynamic load rating considering bearing rating
life.
Keywords
condition monitoring; Wavelet Analysis; Bearing Lifetime; Computer Software
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