There is a wide variety of condition monitoring techniques currently in use for the diagnosis
and prediction of machinery faults, but little attention has been paid to the occurrence and …

Determination of the correlation dimension from experimental chaotic time series data
involves two steps. First, reconstruction of the attractor using the time delay method from the …

This paper reports a study of correlation dimension in gearbox condition monitoring. In
contrast to other fault diagnosis methods, such as Fourier spectrum analysis, time-frequency …

This paper reports on the application of nonlinear dynamics andhigher-order spectra, with
particular regard to the correlationdimension and bispectra in rotating machinery fault …

In this paper, we introduce a modified form of the correlation integral developed by
Grassberger and Procaccia referred to as the partial correlation integral, which can be …

In this paper the application of embedding space and fractal dimension estimation to monitor
the condition of a system with clearance is considered by examining the effect on the …

In recent years there has been an increasing interest in applying cyclostationary analysis to
the diagnostics of machine vibration signals. This is because some machine signals, while …

A new method is presented for predicting rolling element bearing condition from
measurements of bearing housing vibration. This method is based on a statistical parameter …

This paper presents the application of four nonlinear methods of feature extraction in
slewing bearing condition monitoring and prognosis: these are largest Lyapunov exponent …

Analysis of vibration signals is a major technique for monitoring condition of machine
components. Frequency spectrum analysis is the most widely used method. Various other …