... quantifiable and is often assessed by visual inspection. This paper proposes the continuous wavelet transform as the framework for characterizing the shape attributes of time series in the time-scale domain. The feature that enables this characterization is the multiscale differential capacity of continuous...

...Brian T. Holm-Hansen; Robert X. Gao, ASME Mem.; Li Zhang This paper presents a new, structural dynamics-based wavelet transformation technique for bearing defect detection. Specifically, a customized wavelet was developed analytically, using the scaling function derived from the actual impulse...

... motors fault diagnosis recurrent neural nets wavelet transforms electrical engineering computing Induction motors play an important role in the safe and efficient operation of industrial plants. Many electric machine components are especially susceptible to failures. For example, the stator...

... systems identification transient response Banach spaces wavelet transforms function approximation Systems with complex, fast time-varying (TV) dynamics are increasingly found in modern engineering applications. Examples of such systems are air-conditioning and refrigeration (AC/R) systems...

... approximation wavelet transforms Systems with fast time-varying dynamics are encountered in an increasing number of engineering applications. For most of these applications the prior knowledge of system dynamics is, to a varying degree, available, or can be obtained experimentally. For example...