- Tytuł:
- Vibration Based Gear Fault Diagnosis under Empirical Mode Decomposition and Power Spectrum Density Analysis
- Autorzy:
-
Akram, M. Ammar
Khushnood, Shahab
Tariq, Syeda Laraib
Ali, Hafiz Muhammad
Nizam, Luqman Ahmad - Powiązania:
- https://bibliotekanauki.pl/articles/102795.pdf
- Data publikacji:
- 2019
- Wydawca:
- Stowarzyszenie Inżynierów i Techników Mechaników Polskich
- Tematy:
-
spur gears
tooth breakage
vibration amplitude
empirical mode decomposition
power spectrum density
time waveform
koła zębate czołowe
pękanie zęba
amplituda drgań
rozkład w trybie empirycznym
gęstość widmowa mocy
przebieg czasowy - Opis:
- Rotating machinery plays a significant role in industrial applications and covers a wide range of mechanical equipment. A vibration analysis using signal processing techniques is generally conducted for condition monitoring of rotary machinery and engineering structures in order to prevent failure, reduce maintenance cost and to enhance the reliability of the system. Empirical mode decomposition (EMD) is amongst the most substantial non-linear and non-stationary signal processing techniques and it has been widely utilized for fault detection in rotary machinery. This paper presents the EMD, time waveform and power spectrum density (PSD) analysis for localized spur gear fault detection. Initially, the test model was developed for the vibration analysis of single tooth breakage of spur gear at different RPMs and then specific fault was introduced in driven gear under different damage conditions. The data, recorded by means of a wireless tri-axial accelerometer, was then analyzed using EMD and PSD techniques and the results were plotted. The results depicted that EMD algorithms are found to be more functional than the ordinarily used PSD and time waveform techniques.
- Źródło:
-
Advances in Science and Technology. Research Journal; 2019, 13, 3; 192-200
2299-8624 - Pojawia się w:
- Advances in Science and Technology. Research Journal
- Dostawca treści:
- Biblioteka Nauki
Artykuł