Vibration Signature of Gear Pump of Missing One and Two Teeth | ||
| The Egyptian International Journal of Engineering Sciences and Technology | ||
| Article 2, Volume 30, Mechanical Engineering, August 2020, Pages 39-50 PDF (1.13 M) | ||
| DOI: 10.21608/eijest.2020.104938 | ||
| Authors | ||
| Ahmed Osman* ; Mohamed H. Gobran; Farouk F. Mahmoud | ||
| Mechanical Power Engineering Dept., Faculty of Engineering Zagazig University, Zagazig 44519, EGYPT | ||
| Abstract | ||
| An unexpected failure of the gear pump may cause significant effect on its performance and structure, consequently there will be economic losses. For this reason, fault diagnosis in meshed gears has been the subject of serious research. Vibration analysis is one of the pumps on condition monitoring techniques that determines a suitable maintenance action. Generally, an increased vibration level can be considered as a warning form before failure or breakdown. By measuring, processing, and analyzing the frequencies of vibration signal, it is possible to determine both the type and severity of the defect, and hence predict the machine’s failure. The vibration signal of a gear pump contains the signature of the defects in the gears, and early fault detection of the gear pump is possible by analyzing the vibration signal using different signal processing techniques (Frequency Spectrum, Envelop and Power Spectrum Density). This research experimentally, shows the external gear pump signature for normal and faulty gear at different rotational speeds (1080, 1200 and 1439 RPM). The considered faults herein are one missing tooth and two missing teeth in a single gear of the pump. The Faulty gear signature due to missing one tooth and two missing teeth and at different rotational speeds are identified. The amplitude of vibration increases by increasing the rotational speed. When the two missing teeth are facing each other results in decreasing the vibration amplitude than one missing teeth size. | ||
| Keywords | ||
| External Gear Pump; Vibration Analysis; Fast Fourier Transform; Fault Diagnosis | ||
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