2022 IEEE International Conference on Electrical Engineering, Big Data and Algorithms (EEBDA) 2022
DOI: 10.1109/eebda53927.2022.9744913
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Research on the Application of Signal in Chaotic Background in Physical Inverse Filter

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“…Yang et al performed phase space reconstruction of the time signal and experiments showed that the method was able to identify cracks in the specimen with good results [10]. Lv et al use inverse filters to reconstruct the phase space and perform local singular value decomposition for the purpose of parametric analysis, and finally, the simulation results show that the method has good results [11]. Zhang and Li use phase space reconstruction and singular value decomposition method to be able to reduce the random noise in the signal, and use the local singular value decomposition of the signal after the noise reduction, simulation results and experiments show that this method has a good effect in detecting the bearing fault characteristics [12].…”
Section: Introductionmentioning
confidence: 99%
“…Yang et al performed phase space reconstruction of the time signal and experiments showed that the method was able to identify cracks in the specimen with good results [10]. Lv et al use inverse filters to reconstruct the phase space and perform local singular value decomposition for the purpose of parametric analysis, and finally, the simulation results show that the method has good results [11]. Zhang and Li use phase space reconstruction and singular value decomposition method to be able to reduce the random noise in the signal, and use the local singular value decomposition of the signal after the noise reduction, simulation results and experiments show that this method has a good effect in detecting the bearing fault characteristics [12].…”
Section: Introductionmentioning
confidence: 99%