Quantitative detection of locomotive wheel polygonization under non-stationary conditions by adaptive chirp mode decomposition

Change Detection and Non Stationary Signals Tracking by Adaptive Filtering

In this paper we consider the problem of change detection and non stationary signals tracking. Using parametric estimation of signals based on least square lattice adaptive filters we consider for change detection statistical parametric methods using likelihood ratio and hypothesis tests. In order to track signals dynamics, we introduce a compensation procedure in the adaptive estimation. This ...

Detection of Rotor and Load Faults in Brushless Dc Motors Operating under Stationary and Non- Stationary Conditions

Modeling Stream Flow Extremes under Non-time- Stationary Conditions

This paper provides information on extreme value modeling of stream flow extremes from three rivers in the New York City Metropolitan Area using generalized extreme value distribution (GEV). GEV parameters including location, scale, and shape are analyzed to get an appropriate minimum window size for stationary conditions, and then the time series analysis of GEV parameters are performed by usi...

Enhancement of non-stationary speech using harmonic chirp filters

In this paper, the issue of single channel speech enhancement of non-stationary voiced speech is addressed. The non-stationarity of speech is well known, but state of the art speech enhancement methods assume stationarity within frames of 20–30 ms. We derive optimal distortionless filters that take the non-stationarity nature of voiced speech into account via linear constraints. This is facilit...

Point processes for bearing fault detection under non-stationary operating conditions

Bearing faults represent the most frequent mechanical faults in rotational machines. They are characterized by repetitive impacts between the rolling elements and the damaged surface. The time intervals between two impacts are directly related with the type and location of the surface fault. These time intervals can be elegantly analyzed within the framework of renewal point processes. With suc...