A novel rolling bearing fault diagnosis method based on hierarchical fuzzy entropy (HFE),
Laplacian score (LS) and improved support vector machine based binary tree (ISVM-BT) is …

A gearbox vibration signal is non-stationary and non-linear and has multiple components
and multi-fractal properties, which make it difficult to effectively extract gearbox fault features …

Fractal signal processing and novelty detection are used for fault detection in rolling element
bearings. The former applies the concept of self-similarity based on wavelet variance, and …

Aiming at the non-linear characteristics of bearing vibration signals as well as the complexity
of condition-indicating information distribution in the signals, a new rolling element bearing …

Rolling element bearing is not only the most important failure unit in rotary machinery, but it
is also the most common, and its performance degradation assessment has been proposed …

提出了一种基于局部特征尺度分解与形态学分形维数的滚动轴承故障诊断方法.
首先采用局部特征尺度分解方法将机械故障信号分解为若干个内禀尺度分量 …

To achieve the goal of automated rolling bearing fault diagnosis, a variational mode
decomposition (VMD) based diagnosis scheme was proposed. VMD was firstly used to …

This paper proposes a novel fault diagnosis method for planetary gearbox based on
ensemble empirical mode decomposition (EEMD) and fractal theory. EEMD is applied to …

Seismic waves are widely used in ground target classification due to its inherent
characteristics. However, they are often affected by extraneous factors and have been found …

As a pervasively used physiological signal, electrocardiography (ECG or EKG) is the
recording of electrical activities of the heart over a period of time, which aims to measure the …