Diagnosis of Gear Systems by Spectral Analysis of Vibration Signals

نویسندگان

  • Noureddine Haloui
  • Djamel Chikouche
  • Messaoud Benidir
چکیده

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 proposed method relatively to the synchronous cepstral technique are demonstrated on the basis of experimental data of the vibration signal delivered from the gear reductor system under study. We show that the fault diagnosis of the considered system can be performed by observing the evolution of the power spectrum of the vibration signal during the observation days of the reductor.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Fault diagnosis in gear using wavelet envelope power spectrum

In recent years, improvement has been achieved in vibration signal processing, using wavelet analysis for condition monitoring and fault diagnosis. The use of wavelet analysis has proven to be efficient to detect faults in vibration signals with nonstationary, transient characteristics/ components. An experimental data set is used to compare the diagnostic capability of the fast Fourier transfo...

متن کامل

Investigation on Fault Detection for Split Torque Gearbox Using Acoustic Emission and Vibration Signals

When compared with a traditional planetary gearbox, the split torque gearbox (STG) potentially offers lower weight, increased reliability, and improved efficiency. These benefits have driven the helicopter manufacturing community to develop products using the STG. However, this may pose a challenge for the current gear analysis methods used in Health and Usage Monitoring Systems (HUMS). Gear an...

متن کامل

Bearing and Gear Fault Detection Using Artificial Neural Networks

Rotating machinery plays an important role in industrial applications. When these machines recently are getting more complicated, fault diagnosis techniques have become more and more significant. In order to keep the machine performing at its best, one of the principal tools for the diagnosis of rotating machinery problems is the vibration analysis, which can be used to extract the fault featur...

متن کامل

Fault Detection and Diagnosis Ingears Using Wavelet Enveloped Power Spectrum and Ann

Abstract In this work, automatic detection and diagnosis of gear condition monitoring technique is presented. The vibration signals in time domain wereobtained from a fault simulator apparatus from a healthy gear and an induced faulty gear. These time domain signals were processed using Laplace and Morlet wavelet based enveloped power spectrum to detect the faults in gears. The vibration signal...

متن کامل

Wavelet Enveloped Power Spectrum and Optimal Filtering For Fault Diagnosis in Gear

The methodology of vibration based condition monitoring technology has been developing at a rapid stage in the recent years suiting to the maintenance of sophisticated and complicated machines. The ability of wavelet analysis to efficiently detect non-stationary, non-periodic, transient features of the vibration signal makes it a demanding tool for condition monitoring. In this paper, the vibra...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2007