Jiangbin Zhao

TL;DR: In this article, a hybrid intelligent diagnosis method is proposed to identify multiple categories of gear defection, which combines wavelet packet transform (WPT), empirical mode decomposition (EMD), and Wigner-Ville distributions (WVD) combined with autoregressive (AR) model algorithm, were performed on gear vibration signals to extract useful fault characteristic information.

TL;DR: In this article, a literature review indicates that a large amount of failures are caused by abnorability of marine diesel engines and a large number of these failures are due to abnor...

TL;DR: A new development based on a novel supervised manifold learning algorithm (adaptive locally linear embedding) applied to nonlinear feature extraction for rotor multiple defects identification and achieves higher performance in terms of the classification rate than other feature extraction methods such as principal component analysis (PCA) and locallylinear embedding (LLE).

TL;DR: In this paper, a swing-hydrofoil-type wave energy collecting device for a small-size ocean underwater vehicle is presented, based on the difference of hydrodynamics responses of the two parts of the swing hydrofoil and an engine body of the underwater vehicle.