Fault diagnosis occupies a pivotal position within the domain of machine and equipment management.Existing methods,however,often exhibit limitations in their scope of application,typically focusing on specific types o...Fault diagnosis occupies a pivotal position within the domain of machine and equipment management.Existing methods,however,often exhibit limitations in their scope of application,typically focusing on specific types of signals or faults in individual mechanical components while being constrained by data types and inherent characteristics.To address the limitations of existing methods,we propose a fault diagnosis method based on graph neural networks(GNNs)embedded with multirelationships of intrinsic mode functions(MIMF).The approach introduces a novel graph topological structure constructed from the features of intrinsic mode functions(IMFs)of monitored signals and their multirelationships.Additionally,a graph-level based fault diagnosis network model is designed to enhance feature learning capabilities for graph samples and enable flexible application across diverse signal sources and devices.Experimental validation with datasets including independent vibration signals for gear fault detection,mixed vibration signals for concurrent gear and bearing faults,and pressure signals for hydraulic cylinder leakage characterization demonstrates the model's adaptability and superior diagnostic accuracy across various types of signals and mechanical systems.展开更多
A numerical triangulation and transformation into the time domain of a Kirchhoff approximation(KA)method is proposed for the modeling of bistatic scattering from an underwater non-penetrable target.The time domain sol...A numerical triangulation and transformation into the time domain of a Kirchhoff approximation(KA)method is proposed for the modeling of bistatic scattering from an underwater non-penetrable target.The time domain solution in this approximation can be split up into two parts:the solution of reflected field,contributing around the specular direction,and the solution of shadow radiation,contributing around the forward direction.An average solution in the time domain satisfying the reciprocity principle is presented.The solution is expressed in terms of non-singular functions.The proposed method is validated against a normal mode method for bistatic scattering from a rigid sphere.Moreover,the reflected and shadow highlights on the surface of the sphere are shown to verify the integration surface of the reflected field and shadow radiation.It is also tested against a finite element method and an experiment involving a scaled Benchmark Target Strength Simulation Submarine model.The time-angle bistatic spectra for the model are evaluated by the direct and transformed average solutions of KA,and the former accelerates its speed of calculation.The results are good,and show that this method can be used to predict the bistatic scattered field of a non-penetrable target.展开更多
OBJECTIVE To use network pharmacology to predict and analyze the mechanism of Aconite-Ginger against myocardial ischemia.METHODS TCMSP was used to collect the active compounds of Aconite-Ginger and predict the targets...OBJECTIVE To use network pharmacology to predict and analyze the mechanism of Aconite-Ginger against myocardial ischemia.METHODS TCMSP was used to collect the active compounds of Aconite-Ginger and predict the targets of active compounds.At the same time,target sites of anti-myocardial ischemic injury drugs were collected using DisGeNET and CTD database,and then active compounds and target sites were compared.Analyze and screen out the targets of AconiteGinger anti-cardiac machine ischemia.GO,KEGG analysis and Aconite-Ginger drug molecule-target were performed on selected targets using MAS 3.0 and Cytoscape 3.3.0 software.RESULTS 27 common targets of Aconite-Ginger anti-ischemia ischemia and 63 signal pathways were predicted.CONCLUSION Aconite-Ginger mainly regulates calcium signal transduction,apoptosis and MAPK signaling pathway,which can also regulate through toll-like receptors,Fc epsilon RI and other signal pathways,so it is speculated that it may participate in regulation Apoptosis,inflammatory response,enhancement of myocardial function,etc.,thereby exerting an anti-ischemic effect.It laid a good foundation for further revealing its mechanism of action.展开更多
文摘Fault diagnosis occupies a pivotal position within the domain of machine and equipment management.Existing methods,however,often exhibit limitations in their scope of application,typically focusing on specific types of signals or faults in individual mechanical components while being constrained by data types and inherent characteristics.To address the limitations of existing methods,we propose a fault diagnosis method based on graph neural networks(GNNs)embedded with multirelationships of intrinsic mode functions(MIMF).The approach introduces a novel graph topological structure constructed from the features of intrinsic mode functions(IMFs)of monitored signals and their multirelationships.Additionally,a graph-level based fault diagnosis network model is designed to enhance feature learning capabilities for graph samples and enable flexible application across diverse signal sources and devices.Experimental validation with datasets including independent vibration signals for gear fault detection,mixed vibration signals for concurrent gear and bearing faults,and pressure signals for hydraulic cylinder leakage characterization demonstrates the model's adaptability and superior diagnostic accuracy across various types of signals and mechanical systems.
基金the Oceanic Interdisciplinary Program of Shanghai Jiao Tong University(project number SL2021PT108)。
文摘A numerical triangulation and transformation into the time domain of a Kirchhoff approximation(KA)method is proposed for the modeling of bistatic scattering from an underwater non-penetrable target.The time domain solution in this approximation can be split up into two parts:the solution of reflected field,contributing around the specular direction,and the solution of shadow radiation,contributing around the forward direction.An average solution in the time domain satisfying the reciprocity principle is presented.The solution is expressed in terms of non-singular functions.The proposed method is validated against a normal mode method for bistatic scattering from a rigid sphere.Moreover,the reflected and shadow highlights on the surface of the sphere are shown to verify the integration surface of the reflected field and shadow radiation.It is also tested against a finite element method and an experiment involving a scaled Benchmark Target Strength Simulation Submarine model.The time-angle bistatic spectra for the model are evaluated by the direct and transformed average solutions of KA,and the former accelerates its speed of calculation.The results are good,and show that this method can be used to predict the bistatic scattered field of a non-penetrable target.
基金supported by Shaanxi Provincial Administration of Traditional Chinese Medicine project(JCPT007)
文摘OBJECTIVE To use network pharmacology to predict and analyze the mechanism of Aconite-Ginger against myocardial ischemia.METHODS TCMSP was used to collect the active compounds of Aconite-Ginger and predict the targets of active compounds.At the same time,target sites of anti-myocardial ischemic injury drugs were collected using DisGeNET and CTD database,and then active compounds and target sites were compared.Analyze and screen out the targets of AconiteGinger anti-cardiac machine ischemia.GO,KEGG analysis and Aconite-Ginger drug molecule-target were performed on selected targets using MAS 3.0 and Cytoscape 3.3.0 software.RESULTS 27 common targets of Aconite-Ginger anti-ischemia ischemia and 63 signal pathways were predicted.CONCLUSION Aconite-Ginger mainly regulates calcium signal transduction,apoptosis and MAPK signaling pathway,which can also regulate through toll-like receptors,Fc epsilon RI and other signal pathways,so it is speculated that it may participate in regulation Apoptosis,inflammatory response,enhancement of myocardial function,etc.,thereby exerting an anti-ischemic effect.It laid a good foundation for further revealing its mechanism of action.
