Bearing condition monitoring and fault diagnosis (CMFD) can investigate bearing faults in the early stages, preventing the subsequent impacts of machine bearing failures effectively. CMFD for low-speed, non-continuous...
Supported by Shaanxi Key Laboratory of Mine Electromechanical Equipment Intelligent Monitoring,Xi’an University of Science and Technology(Grant No.SKL-MEEIM201904);National Natural Science Foundation of China(Grant Nos.51805352,51605380).
Gearbox condition monitoring(CM)plays a significant role in ensuring the operational reliability and efficiency of a wide range of critical industrial systems such as wind turbines and helicopters.Accurate and timely ...
supported in part by National Key Research and Development Program of China (Grant No. 2019YFB2204500);National Natural Science Foundation of China (Grant No. 61874171);Alibaba Group through Alibaba Innovative Research (AIR) Program。
Detection of interictal epileptic discharges(IED) events in the EEG recordings is a critical indicator for detecting and diagnosing epileptic seizures. We propose a key technology to extract the most important feature...
Supported by National Science and Technology Support Program of China(Grant No.2015BAF07B04)
Fault feature extraction has a positive effect on accurate diagnosis of diesel engine. Currently, studies of fault feature extraction have focused on the time domain or the frequency domain of signals. However, early ...
supported by the National Natural Science Foundation of China(No.61201123)
Sorting rate of common method is not high and it is sensitive to the Signal noise ratio(SNR), in order to solve these problems, bispectrum two dimensions characteristics complexity is applied to sort unknown complicat...
supported by National Natural Science Foundation of China(Grant Nos.50875048,51175079,51075069)
Nonnegative Tucker3 decomposition(NTD) has attracted lots of attentions for its good performance in 3D data array analysis. However, further research is still necessary to solve the problems of overfitting and slow ...
Failure of induction motors are a large concern due to its influence over industrial production. Motor current signature analysis (MCSA) is common practice in industry to find motor faults. This paper presents a new a...
One-dimensional Mel-Frequency Cepstrum Coefficients (1D-MFCC) in conjunction with a power spectrum analysis method is usually used as a feature extraction in a speaker identification system. However, as this one dimen...
Snoring is common in people with obstructive sleep apnea (OSA). Although not every snorer has OSA or vice-versa, many studies attempt to use snoring sounds for classification of people into two groups of OSA and simpl...
The National Natural Science Foundation of China(No.50875078);the Natural Science Foundation of Jiangsu Province(No.BK2007115);the National High Technology Research and Development Program of China(863 Program)(No.2007AA04Z421)
Aiming at the slow convergence and low accuracy problems of the traditional non-negative tensor factorization, a local hierarchical non-negative tensor factorization method is proposed by applying the local objective ...