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 …

Blind deconvolution has been proved to be an effective method for fault detection since it
can recover periodic impulses from mixed fault signals convoluted by noise and periodic …

Fault diagnosis is an important means to ensure the safe and reliable operation of
mechanical equipment. In machinery fault diagnosis, collecting and mining the potential fault …

Rolling bearing health condition evaluation under time-varying operating speed requires
information about shaft rotational speed. However, it is not always feasible to install a sensor …

The difficulty of feature extraction and the small sample size are two challenges in the field of
mechanical fault diagnosis for a long time. Here we propose an intelligent mechanical fault …

The instantaneous speed (IS), ie, instantaneous frequency, is an important feature to exploit
the time-frequency characteristic of nonstationary signals. The IS estimation is widely used …

As critical components in modern aerospace productions, rolling element bearings (REBs)
generally work under varying speed conditions, which brings great challenges to their …

In this paper, a novel blind source separation (BSS) method drawing on the framework of
Multivariate nonlinear chirp mode decomposition (MNCMD) termed as Nonlinear Chirp …

In recent years, a new method of fault diagnosis, named variational mode decomposition
(VMD), has been widely used in industrial production, but the decomposition accuracy of …

Due to the non-linearity and non-stationarity of sound signals from complex transmission
structure and frequent start-stop of industrial equipment, such as sewing machine, its …