Mechanical Fault Prognosis through Spectral Analysis of Vibration Signals

Diagnosis 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...

Bearing Fault Diagnosis Based on Vibration Signals

The vibration signal obtained from operating machines contains information relating to machine condition as well as noise. Further processing of the signal is necessary to elicit information particularly relevant to bearing faults. Many techniques have been employed to process the vibration signals in bearing faults detection and diagnosis. Two common techniques, time domain techniques and freq...

Nonlinear and Non-stationary Vibration Analysis for Mechanical Fault Detection by Using EMD-FFT Method

The Hilbert-Huang transform (HHT) is a powerful method for nonlinear and non-stationary vibrations analysis. This approach consists of two basic parts of empirical mode decomposition (EMD) and Hilbert spectral analysis (HSA). To achieve the reliable results, Bedrosian and Nuttall theorems should be satisfied. Otherwise, the phase and amplitude functions are mixed together and consequently, the ...

High-Voltage Circuit-Breaker Fault Diagnosis Based on Mechanical Vibration Signals

In order to guarantee the operation stability of high-voltage circuit-breaker, this paper extracts eigenvector of vibration signals based on mining of characteristic entropy of the wavelet packet obtained under the state of circuit breaker. Besides, the eigenvector of various fault samples is adopted as the input information of the BP network. After that, the author conducts training of the wel...

Spectral Analysis of Signals