Nowadays, condition-based maintenance (CBM) and fault diagnosis (FD) of rotating
machinery (RM) has a vital role in the modern industrial world. However, the remaining …

Rotating machinery faults can induce characteristic modulation effects in a vibration signal,
and their diagnosis can thus be conducted by extracting fault-induced modulation features …

重大装备制造业是国民经济的支柱, 也是关系到国家安全的战略性产业, 而重大机械装备的运行
安全一直是备受关注的焦点. 机械设备由于工作环境恶劣, 工况复杂, 其关键部件容易受损 …

Extracting weak fault features under noise interference is crucial for the fault diagnosis of
rolling bearings at an early stage. In this paper, a new method based on improved ensemble …

In the hogging moment regions of steel-concrete composite beams that have been widely
used in bridges and buildings nowadays, the concrete slabs are vulnerable to cracks and …

In order to improve identification accuracy of rolling bearings with nonlinear and
nonstationary vibration signals, a novel fault diagnosis method based on wavelet …

One challenge of the existing noise-assisted methods for solution of mode mixing problem of
empirical mode decomposition (EMD) is that, the decomposed modes contain much residual …

Rolling element bearings are widely used in various industrial machines, such as electric
motors, generators, pumps, gearboxes, railway axles, turbines, and helicopter …

Rotating machinery is widely applied in various types of industrial applications. As a
promising field for reliability of modern industrial systems, early fault diagnosis (EFD) …

Bearings are important and easily damaged parts in equipment. Collecting and analyzing
the vibration signals of damaged bearings is a common fault diagnosis method. The …