Incomplete fault signal characteristics and ease of noise contamination are issues with the current rolling bearing early fault diagnostic methods,making it challenging to ensure the fault diagnosis accuracy and relia...Incomplete fault signal characteristics and ease of noise contamination are issues with the current rolling bearing early fault diagnostic methods,making it challenging to ensure the fault diagnosis accuracy and reliability.A novel approach integrating enhanced Symplectic geometry mode decomposition with cosine difference limitation and calculus operator(ESGMD-CC)and artificial fish swarm algorithm(AFSA)optimized extreme learning machine(ELM)is proposed in this paper to enhance the extraction capability of fault features and thus improve the accuracy of fault diagnosis.Firstly,SGMD decomposes the raw vibration signal into multiple Symplectic geometry components(SGCs).Secondly,the iterations are reset by the cosine difference limitation to effectively separate the redundant components from the representative components.Additionally,the calculus operator is performed to strengthen weak fault features and make them easier to extract,and the singular value decomposition(SVD)weighted by power spectrum entropy(PSE)can be utilized as the sample feature representation.Finally,AFSA iteratively optimized ELM is adopted as the optimized classifier for fault identification.The superior performance of the proposed method has been validated by various experiments.展开更多
The biggest theory in the XX century is the Special Theory of Relativity (SR), consequently, the General Theory of Relativity (GR), which has even now millions of followers and was accepted as a revolutionary theory o...The biggest theory in the XX century is the Special Theory of Relativity (SR), consequently, the General Theory of Relativity (GR), which has even now millions of followers and was accepted as a revolutionary theory of physics by the physical community. Special Relativity based on Lorentz transformation and Minkovski geometry forms the basis for the disciplines of Cosmology (the structure and origin of the Universe on the largest scales). The research aims to focus on how physics describes SR and GR, which have some flaws from the beginning, and finally, to show why Euclidean geometry comes back into science.展开更多
基金supported by National Key Research and Development Project (2020YFE0204900)National Natural Science Foundation of China (Grant Numbers 62073193,61873333)Key Research and Development Plan of Shandong Province (Grant Numbers 2019TSLH0301,2021CXGC010204).
文摘Incomplete fault signal characteristics and ease of noise contamination are issues with the current rolling bearing early fault diagnostic methods,making it challenging to ensure the fault diagnosis accuracy and reliability.A novel approach integrating enhanced Symplectic geometry mode decomposition with cosine difference limitation and calculus operator(ESGMD-CC)and artificial fish swarm algorithm(AFSA)optimized extreme learning machine(ELM)is proposed in this paper to enhance the extraction capability of fault features and thus improve the accuracy of fault diagnosis.Firstly,SGMD decomposes the raw vibration signal into multiple Symplectic geometry components(SGCs).Secondly,the iterations are reset by the cosine difference limitation to effectively separate the redundant components from the representative components.Additionally,the calculus operator is performed to strengthen weak fault features and make them easier to extract,and the singular value decomposition(SVD)weighted by power spectrum entropy(PSE)can be utilized as the sample feature representation.Finally,AFSA iteratively optimized ELM is adopted as the optimized classifier for fault identification.The superior performance of the proposed method has been validated by various experiments.
文摘The biggest theory in the XX century is the Special Theory of Relativity (SR), consequently, the General Theory of Relativity (GR), which has even now millions of followers and was accepted as a revolutionary theory of physics by the physical community. Special Relativity based on Lorentz transformation and Minkovski geometry forms the basis for the disciplines of Cosmology (the structure and origin of the Universe on the largest scales). The research aims to focus on how physics describes SR and GR, which have some flaws from the beginning, and finally, to show why Euclidean geometry comes back into science.
