BISPECTRUM

作品数:28被引量:57H指数:4
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相关领域:电子电信更多>>
相关作者:王飞王海军许飞云刘一飞赵东海更多>>
相关机构:东南大学华东师范大学中国科学技术大学天津大学更多>>
相关期刊:《Science China Chemistry》《Chinese Journal of Acoustics》《Journal of Biomedical Science and Engineering》《Chinese Journal of Electronics》更多>>
相关基金:国家自然科学基金国家高技术研究发展计划上海市青年科技启明星计划更多>>
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Research on Feature Extraction Method for Low-Speed Reciprocating Bearings Based on Segmented Short Signal Modulation Signal Bispectrum Slicing
《Open Journal of Applied Sciences》2023年第12期2306-2319,共14页Hao Zhang 
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...
关键词:Fault Diagnosis The Modulation Signal Bispectrum Short Signal Low-Speed Reciprocating Bearings Slewing Bearing 
Acoustics Based Monitoring and Diagnostics for the Progressive Deterioration of Helical Gearboxes被引量:1
《Chinese Journal of Mechanical Engineering》2021年第4期98-109,共12页Kaibo Lu James Xi Gu Hongwei Fan Xiuquan Sun Bing Li Fengshou Gu 
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 ...
关键词:ACOUSTICS Modulation Signal Bispectrum Helical gearbox Gear wear 
Detection of the interictal epileptic discharges based on wavelet bispectrum interaction and recurrent neural network被引量:5
《Science China(Information Sciences)》2021年第6期199-217,共19页Nabil SABOR Yongfu LI Zhe ZHANG Yu PU Guoxing WANG Yong LIAN 
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...
关键词:interictal epileptic discharges EPILEPSY discrete wavelet transform wavelet bispectrum long short-term memory recurrent neural network 
Fault Feature Extraction of Diesel Engine Based on Bispectrum Image Fractal Dimension被引量:1
《Chinese Journal of Mechanical Engineering》2018年第2期216-226,共11页Jian Zhang Chang-Wen Liu Feng-Rong Bi Xiao-Bo Bi Xiao Yang 
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 ...
关键词:Engine fault diagnosis Bispectrum image processing FRACTAL Signal processing 
A New Method for Sorting Unknown Radar Emitter Signal被引量:20
《Chinese Journal of Electronics》2014年第3期499-502,共4页CHEN Changxiao HE Minghao XU Jing HAN Jun 
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...
关键词:SORTING BISPECTRUM Box dimension Information dimension SNR. 
Bispectrum Feature Extraction of Gearbox Faults Based on Nonnegative Tucker3 Decomposition with 3D Calculations被引量:2
《Chinese Journal of Mechanical Engineering》2013年第6期1182-1193,共12页WANG Haijun XU Feiyun ZHAO Jun’ai JIA Minping HU Jianzhong HUANG Peng 
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 ...
关键词:nonnegative tucker3 decomposition Tucker-product convolution power spectrum density updating algorithm 
A Study of Motor Bearing Fault Diagnosis using Modulation Signal Bispectrum Analysis of Motor Current Signals被引量:3
《Journal of Signal and Information Processing》2013年第3期72-79,共8页Ahmed Alwodai Tie Wang Zhi Chen Fengshou Gu Robert Cattley Andrew Ball 
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...
关键词:INDUCTION MOTOR MOTOR Current SIGNATURE Power Spectrum BISPECTRUM MOTOR BEARING 
Identification of Noisy Utterance Speech Signal using GA-Based Optimized 2D-MFCC Method and a Bispectrum Analysis
《Journal of Software Engineering and Applications》2012年第12期193-199,共7页Benyamin Kusumoputro Agus Buono Li Na 
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...
关键词:2D Mel-Frequency CEPSTRUM COEFFICIENTS BISPECTRUM Hidden Markov Model GENETICS Algorithms 
Snoring sounds’ statistical characteristics depend on anthropometric parameters
《Journal of Biomedical Science and Engineering》2012年第5期245-254,共10页Ali Azarbarzin Zahra Moussavi 
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...
关键词:SNORING Sound (SS) SEGMENT HIGHER Order Statistic BISPECTRUM MEDIAN Bifrequency SKEWNESS Projected MEDIAN Bifrequency Energy 
Local hierarchical non-negative tensor factorization and its application in machinery fault diagnosis被引量:1
《Journal of Southeast University(English Edition)》2011年第4期394-399,共6页王飞 许飞云 王海军 
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 ...
关键词:non-negative tensor factorization BISPECTRUM feature extraction air compressor BP neural network 
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