A novel method based on wavelet leaders multifractal features for rolling element bearing
fault diagnosis is proposed. The multifractal features, combined with scaling exponents …

To monitor rolling bearing operating status with casings in real time efficiently and
accurately, a fusion method based on n-dimensional characteristic parameters distance (n …

Complexity estimators have been broadly utilized in schizophrenia investigation. Early
studies reported increased complexity in schizophrenia patients, associated with a higher …

Rolling element bearings are one of the most precarious components and play an important
role in the effective operation of rotating machinery. Bearings are one of the foremost …

The estimation of the remaining useful life (RUL) of rolling element bearings has been an
area of excessive research over the past few decades. Time-series forecasting approaches …

In this paper, some non-linear diagnostic methods for rotating machinery are introduced and
evaluated from the view of diagnostic practice. The methods are pseudo-phase portrait …

Fault detection of rotating machinery by the complex and non-stationary vibration signals
with noise is very difficult, especially at the early stages. Also, many failure mechanisms and …

This work explores the role of steady-state dynamic analysis in the vibration-based structural
health monitoring field. While more traditional approaches focus on transient or stochastic …

To accurately reveal rolling bearing operating status, multi-feature entropy distance method
was proposed for the process character analysis and diagnosis of rolling bearing faults by …

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