诊断滚动轴承变工况故障时通常采用硬件或信号预处理方法处理特征频率模糊或特征参数扰动
问题, 诊断环节复杂且不易实施, 因而提出直接获取工况不敏感特征参数的诊断思路 …

The article discusses the porposed study of a novel technology that combines the wavelet
higher-order spectra and spectral kurtosis which are applied for vibration diagnosis of rolling …

In this paper, we have reported published articles that used the machinery fault simulator
(MFS) and MFS-Magnum machines developed by SpectraQuest as a tool to investigate the …

Based on the fact that the rolling bearing fault vibration signals are susceptible to Gauss
noise, a fault diagnosis of rolling bearing method using higher-order cumulants and back …

In this paper, we base the grey relational analysis and interval number as a method for
recognizing the digital signal modulation. Firstly, the wavelet energy spectrum entropy …

Rolling bearing is a key component in mechanical equipment, so it is important to carry out
fault diagnosis effectively. It is a crucial step to demodulate the modulation components …

Vibration-based condition monitoring (VCM) is an accepted approach for classifying
machines as healthy or faulty. Although tangible advancements have been made with …

Rolling bearing vibration signals are born with an apparent non-Guassianity, higher order
spectrum is an effective way to analyze this kind of signals. The analyzation methods of …

In the present paper, an attempt was made to classify ball bearing faults with a combination
of image processing and machine learning methods. The proposed methodology includes …

An information fusion fault diagnosis algorithm based on the quantum neural networks is
presented for the pattern recognition with overlapping classes, and it is used in the fault …