Gear misalignment diagnosis using statistical features of vibration and airborne sound spectrums
نویسندگان
چکیده
منابع مشابه
Statistical modeling of gear vibration signals and its application to detecting and diagnosing gear faults
A statistical model of gear mesh vibration signals is proposed in this paper. It is seen that the sample mean is first removed from the gear mesh vibration signal, and the remaining signal components are approximated with a set of sinusoidal functions in the signal model. The signal model parameters can be estimated by the least-square method and the optimal model order is determined based on t...
متن کاملMisalignment Diagnosis of a Planetary Gearbox Based on Vibration Analysis
As a critical power transmission system, planetary gearbox is widely used in many industrial important machines such as wind turbines, aircraft turbine engines, helicopters. Early fault detection and diagnosis of the gearbox will help to prevent unexpected breakdowns of this important equipment. Misalignment is one of the major operating problems in the planetary gearbox which may be caused by ...
متن کاملDetection of Gear fault using vibration analysis
The new generation of condition monitoring and diagnostics systems differs by the detailed solution of diagnostic problems that allows making a step from machine vibration state monitoring to the monitoring of the machine technical condition. Most rotating machine defects can be detected by such a system much before dangerous situations occur. It allows the efficient use of stationary on-line c...
متن کاملDiagnosis of Gear Systems by Spectral Analysis of Vibration Signals
The diagnosis of gearbox faults based on the Fourier analysis of the vibration signal produced from a gear reductor system has proved its limitations in terms of spectral resolution. In this paper, we propose a method for the fault diagnosis of a gear reductor made of two toothed wheels operating at constant conditions. This technique is based on Prony method. The good performances of the propo...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Measurement
سال: 2019
ISSN: 0263-2241
DOI: 10.1016/j.measurement.2019.05.088