Abstract
Vibration analysis that is the main conditions monitoring techniques for machinery maintenance and fault diagnosis, in rotating parts of tractor MF-285 for optimizing them is important. Practical experience has shown that this technique in a machine condition monitoring program provides useful reliable information, bringing significant cost benefits to industry. The objective of this study is to investigate the correlation between vibration analysis and fault diagnosis tractor gearbox. This was achieved by vibration analysis and investigating different operating conditions of tractor (M-F) gearbox. This gearbox coupled to the electromotor that was initially run under normal operating conditions and its speed was at two levels, 500 and 1000 RPM respectively. Even tooth in a gearbox is alternately meshing and detaching during its operation and the loading condition of the tooth is alternately changing. Hence, the gear conditions were considered to be normal gearbox and worn and broken-teeth gears faults with the aim of fault detection and identification. Vibration data was collected from the inspected gearbox and are used for compare with vibration spectra in normal condition of healthy machine, in order to quantify the effectiveness of the Vibration condition monitoring technique. The results from this study have given more understanding on the dependent roles of vibration analysis in predicting and diagnosing machine faults. Keywords: Vibration condition monitoring, Gearbox, Fault diagnosis.
Highlights
Tractor, as the most important agricultural machinery, has main share in planting, retaining and harvesting operations and in mechanization sector
Test-bed was designed to install gearbox, electric motor and four shock absorbers under bases to cancel out vibrations. This gearbox coupled to the electromotor that was initially run under normal operating conditions and its speed was at two levels, 500 and 1000 RPM respectively
Data analysis required comparing the plots obtained for each test condition to those expected for the specific machine faults simulated
Summary
As the most important agricultural machinery, has main share in planting, retaining and harvesting operations and in mechanization sector. Statements show the importance of condition monitoring in gearbox of tractor MF-285 for optimizing them. Gearboxes, the core of power transmission, have received considerable attention in the field of condition monitoring and fault diagnosis. Vibrations signals are often used for fault signals diagnosis in mechanical systems since them often carry dynamic information from mechanical elements These mechanical signals normally consist of a combination of the fundamental frequency with a narrowband frequency component and the harmonics. Most of these are related to the revolutions of the rotating system since the energy of vibration is increased when a mechanical element is damaged or worn. Some of the conventional techniques used for fault signals diagnosis include power spectra in time domain or frequency
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