Nabby, E., Belal, M., Gomaa, F. (2018). MACHINE HEALTH MONITORING USING VIBRATION ANALYSIS. The International Conference on Applied Mechanics and Mechanical Engineering, 18(18th International Conference on Applied Mechanics and Mechanical Engineering.), 1-22. doi: 10.21608/amme.2018.34729
E. A. Nabby; M. H. Belal; F. R. Gomaa. "MACHINE HEALTH MONITORING USING VIBRATION ANALYSIS". The International Conference on Applied Mechanics and Mechanical Engineering, 18, 18th International Conference on Applied Mechanics and Mechanical Engineering., 2018, 1-22. doi: 10.21608/amme.2018.34729
Nabby, E., Belal, M., Gomaa, F. (2018). 'MACHINE HEALTH MONITORING USING VIBRATION ANALYSIS', The International Conference on Applied Mechanics and Mechanical Engineering, 18(18th International Conference on Applied Mechanics and Mechanical Engineering.), pp. 1-22. doi: 10.21608/amme.2018.34729
Nabby, E., Belal, M., Gomaa, F. MACHINE HEALTH MONITORING USING VIBRATION ANALYSIS. The International Conference on Applied Mechanics and Mechanical Engineering, 2018; 18(18th International Conference on Applied Mechanics and Mechanical Engineering.): 1-22. doi: 10.21608/amme.2018.34729
MACHINE HEALTH MONITORING USING VIBRATION ANALYSIS
1Graduate student, Dept. of Production Engineering and Mechanical Design, Faculty of Engineering, Menoufia University, Shebin EL-Kom, Egypt.
2Dr., Dept. Production Engineering and Mechanical Design, Faculty of Engineering, Menoufia University, Shebin EL-Kom, Egypt.
3Professor, Dr., Dept. of Production Engineering and Mechanical Design, Faculty of Engineering, Menoufia University, Shebin EL-Kom, Egypt.
Abstract
ABSTRACT Vibration analysis is an effective tool to identify and predict failure using Signal Processing based on condition monitoring. Accordingly, machine faults can be detected and diagnosed using different post processing of vibration signature. The present study is to prove that Machine Health and availability achievement becoming easier by using different vibration analysis techniques. Three different types of nonstationary signals are addressed in this paper to evaluate the technical conditions of Paper Machine Forming Roll. Forming Roll consists of frequency drive motor, gearbox and a symmetric rotor supported on two similar bearings. The present study is focusing on Forming Roll Bearings Condition Monitoring. A cost wise comparison of maintenance strategies is made to confirm that Condition based Maintenance is the most cost-effective strategy. In the past portable data-collectors were used to measure vibration levels, but Condition based Monitoring had taken place to avoid any sudden fault developing before next time schedule. Applying different vibration analysis techniques such as Spectrum, Waveform and Impact Demodulation will support fault detection, diagnosis and decision-making. The present study proved that Impact demodulation is recommended to specify faulty bearing source location and severity, while time waveform or spectrum analysis techniques can detect fault progress but couldn’t distinguish severity due to bearings similarity. Based on Impact Demodulation technique decision is made to exchange only the higher severity faulty bearing and postponed the other one for next planned shutdown. Consequently, the machine availability and health can be achieved by reducing vibration impact around 100 % through continuous condition monitoring.
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