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Ling Zhao, Xin Chi, Pan Li and Jiawei Ding
A rolling bearing vibration signal fault feature enhancement method based on adaptive complete ensemble empirical mode decomposition with adaptive noise algorithm (CEEMDAN) and maximum correlated kurtosis deconvolution (MCKD) is proposed to address the i...
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Xuyi Zhang, Yang Bai, Yuan Ma, Peidong He, Yinhui Tang and Xiaoning Lv
Raman spectroscopy has been widely applied in numerous fields including bioanalysis, disease diagnosis, and molecular recognition, owing to its unique advantages of being non-invasive, rapid, and highly specific. However, the acquisition of Raman spectra...
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Guotai Wang, Xingguang Geng, Lin Huang, Xiaoxiao Kang, Jun Zhang, Yitao Zhang and Haiying Zhang
Radial pulse signals are produced by the periodic ejection of blood from the heart, and physiological and pathological information of the human body can be analyzed by extracting the time-domain characteristics of pulse waves. However, since pulse signal...
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Hongjiang Cui, Ying Guan and Wu Deng
Aiming at the problems of poor decomposition quality and the extraction effect of a weak signal with strong noise by empirical mode decomposition (EMD), a novel fault diagnosis method based on cascaded adaptive second-order tristable stochastic resonance...
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Chaoren Qin, Dongdong Wang, Zhi Xu and Gang Tang
Most of the current research on the diagnosis of rolling bearing faults is based on vibration signals. However, the location and number of sensors are often limited in some special cases. Thus, a small number of non-contact microphone sensors are a subop...
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Tatiana Strelkova,Aleksandr Lytuyga,Aleksandr Kalmykov,Ganna Khoroshun,Andrii Riazantsev,Oleksandr Ryazantsev
Pág. 41 - 50
The work is aimed at establishing the boundaries of the use of models for describing signals in optoelectronic systems in calculating efficiency.A description of the signal formation process is proposed, taking into account the corpuscular and wave prope...
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Zhao Han and Xiaoli Wang
Period detection technology for weak characteristic signals is very important in the fields of speech signal processing, mechanical engineering, etc. Average magnitude difference function (AMDF) is a widely used method to extract the period of periodic s...
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