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Study on principle of electromagnetic-proof bionics and fault-restore mechanism
Yuan Liang,Man Menghua and Chang Xiaolong
Strategic Study of CAE 2014, Volume 16, Issue 3, Pages 76-85
As we borrowed the wisdom from biological neural system,the characteristic of interference-proof in information transferring process has been carefully studied. Our study includes the response of electrical- interference- proof circuit in electromagnetic environment,by means of bionics redesign. By doing so,new principles,new technics and new ways are adopted to solve the unavoidable situations in traditional electromagnet protection design.Thecomplex bionic topological networks based on Boolean model were firstly built and the charactoristic of degeneracy were analyzed,then the bidirectional actions between degeneracy in networks and the robustness of functions were proved in order to fill the gap to deal with the need of interference-proof. Based on the creation of the neuron networks and the electrical synapses in character of plasticity,the effective of the distribution in the weight of synapse to the character of network self- restoration was studied afterwards so that the corresponding mechanism could be defined. In this way,the research laid a theoretical foundation for electromagnetic protection and the self-restoration.
Keywords: bionics electromagnetic bionics electromagnetic protection degeneracy plasticity robustness
A Self-adaptive Automatic Program Designand Application in Vending Machine
Yu Shiming,Ding Guozheng,Liu Lifeng
Strategic Study of CAE 2007, Volume 9, Issue 11, Pages 147-150
To deal with program fault, the method is usually to report them with But, when the program fault emerges in the state-orient model, how to make the program return tothe state the fault point belong to or take further corresponding actions, the return-value or emergencyIn order to realize processing the fault automatically, this article presents automatic program designmodel is used for decreasing faults of state-switch("prevent" ) and increasing capability of fault-restore
Keywords: self-adaptive state redundant design automatic program design fault-restore vending machine
Masoud RANJBARNIA, Milad ZAHERI, Daniel DIAS
Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 4, Pages 998-1011 doi: 10.1007/s11709-020-0621-8
Keywords: urban tunnel sprayed concrete reverse fault normal fault finite difference analysis
Basic research on machinery fault diagnostics: Past, present, and future trends
Xuefeng CHEN, Shibin WANG, Baijie QIAO, Qiang CHEN
Frontiers of Mechanical Engineering 2018, Volume 13, Issue 2, Pages 264-291 doi: 10.1007/s11465-018-0472-3
Machinery fault diagnosis has progressed over the past decades with the evolution of machineries inHigh-value machineries require condition monitoring and fault diagnosis to guarantee their designed functionsResearch on machinery Fault diagnostics has grown rapidly in recent years.The review discusses the special contributions of Chinese scholars to machinery fault diagnostics.On the basis of the review of basic theory of machinery fault diagnosis and its practical applications
Keywords: fault diagnosis fault mechanism feature extraction signal processing intelligent diagnostics
Machine learning for fault diagnosis of high-speed train traction systems: A review
Frontiers of Engineering Management doi: 10.1007/s42524-023-0256-2
Keywords: high-speed train traction systems machine learning fault diagnosis
Acoustic fault signal extraction via the line-defect phononic crystals
Frontiers of Mechanical Engineering 2022, Volume 17, Issue 1, Pages 10-10 doi: 10.1007/s11465-021-0666-y
Keywords: phononic crystals line-defect fault signal extraction acoustic enhancement
Iterative HOEO fusion strategy: a promising tool for enhancing bearing fault feature
Frontiers of Mechanical Engineering 2023, Volume 18, Issue 1, doi: 10.1007/s11465-022-0725-z
Keywords: higher order energy operator fault diagnosis manifold learning rolling element bearing information
Frontiers of Mechanical Engineering 2021, Volume 16, Issue 4, Pages 814-828 doi: 10.1007/s11465-021-0650-6
Keywords: bearing cross-severity fault diagnosis hierarchical fault diagnosis convolutional neural network
Frontiers of Mechanical Engineering 2022, Volume 17, Issue 2, doi: 10.1007/s11465-022-0673-7
Keywords: deep reinforcement learning hyper parameter optimization convolutional neural network fault diagnosis
Gear fault diagnosis using gear meshing stiffness identified by gearbox housing vibration signals
Frontiers of Mechanical Engineering 2022, Volume 17, Issue 4, doi: 10.1007/s11465-022-0713-3
Keywords: gearbox fault diagnosis meshing stiffness identification transfer path signal processing
Finite element simulation for elastic dislocation of the North-Tehran fault: The effects of geologic
Pooya ZAKIAN; Hossein ASADI HAYEH
Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 4, Pages 533-549 doi: 10.1007/s11709-022-0802-8
Keywords: finite element method fault dislocation slip distribution the North-Tehran fault heterogeneity geological
Centrifuge experiments for shallow tunnels at active reverse fault intersection
Mehdi SABAGH, Abbas GHALANDARZADEH
Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 3, Pages 731-745 doi: 10.1007/s11709-020-0614-7
Keywords: reverse fault rupture continuous tunnel geotechnical centrifuge ground surface deformations fragility
Intelligent fault diagnostic system based on RBR for the gearbox of rolling mills
Lixin GAO, Lijuan WU, Yan WANG, Houpei WEI, Hui YE
Frontiers of Mechanical Engineering 2010, Volume 5, Issue 4, Pages 483-490 doi: 10.1007/s11465-010-0118-6
Keywords: rule-based reasoning fault diagnosis intelligent system gear box
New method of fault diagnosis of rotating machinery based on distance of information entropy
Houjun SU, Tielin SHI, Fei CHEN, Shuhong HUANG
Frontiers of Mechanical Engineering 2011, Volume 6, Issue 2, Pages 249-253 doi: 10.1007/s11465-011-0124-3
Keywords: rotating machinery information fusion fault diagnosis Information entropy distance of the information
Weak characteristic information extraction from early fault of wind turbine generator gearbox
Xiaoli XU, Xiuli LIU
Frontiers of Mechanical Engineering 2017, Volume 12, Issue 3, Pages 357-366 doi: 10.1007/s11465-017-0423-4
Given the weak early degradation characteristic information during early fault evolution in gearboxsignificantly weaken signal noise, effectively extract the weak characteristic information of early fault, and facilitate the early fault warning and dynamic predictive maintenance.
Keywords: µ-singular value decomposition local mean decomposition weak characteristic information extraction early fault
Title Author Date Type Operation
Study on principle of electromagnetic-proof bionics and fault-restore mechanism
Yuan Liang,Man Menghua and Chang Xiaolong
Journal Article
A Self-adaptive Automatic Program Designand Application in Vending Machine
Yu Shiming,Ding Guozheng,Liu Lifeng
Journal Article
Three-dimensional finite difference analysis of shallow sprayed concrete tunnels crossing a reverse faultor a normal fault: A parametric study
Masoud RANJBARNIA, Milad ZAHERI, Daniel DIAS
Journal Article
Basic research on machinery fault diagnostics: Past, present, and future trends
Xuefeng CHEN, Shibin WANG, Baijie QIAO, Qiang CHEN
Journal Article
Iterative HOEO fusion strategy: a promising tool for enhancing bearing fault feature
Journal Article
Deep convolutional tree-inspired network: a decision-tree-structured neural network for hierarchical fault
Journal Article
A new automatic convolutional neural network based on deep reinforcement learning for fault diagnosis
Journal Article
Gear fault diagnosis using gear meshing stiffness identified by gearbox housing vibration signals
Journal Article
Finite element simulation for elastic dislocation of the North-Tehran fault: The effects of geologic
Pooya ZAKIAN; Hossein ASADI HAYEH
Journal Article
Centrifuge experiments for shallow tunnels at active reverse fault intersection
Mehdi SABAGH, Abbas GHALANDARZADEH
Journal Article
Intelligent fault diagnostic system based on RBR for the gearbox of rolling mills
Lixin GAO, Lijuan WU, Yan WANG, Houpei WEI, Hui YE
Journal Article
New method of fault diagnosis of rotating machinery based on distance of information entropy
Houjun SU, Tielin SHI, Fei CHEN, Shuhong HUANG
Journal Article