The historical records of mechanical fault contain great amount of important information which is useful to identify the similar fault.The current fault diagnosis methods using historical records are inefficient to de...The historical records of mechanical fault contain great amount of important information which is useful to identify the similar fault.The current fault diagnosis methods using historical records are inefficient to deal with intuitive application and multicomponent multiphase fault diagnosis.Towards the problem,the rapid and intelligent fault diagnosis method based on system-phenomenon-fault （SPF） tree is proposed.The method begins with the physical system of the fault system,conceives the fault causes as leaves,the fault causes as leaves and the frequentness of fault as the interrelationship,and finally forms the fault tree with structural relationship of administrative subordination and flexible multi-granularity components.Firstly,the forming method of SPF tree is discussed;Secondly some basic definitions as synonymous branch,the tough degree of the branch,the dominant leaf,and the virtual branch are defined;and then,the performances including the merger of the dominant branches keeping dominant,the merger of the synonymous branches keeping dominant were proved.Furthermore,the merging,optimizing and calculating of virtual branch of SPF tree are proposed,the self-learning mechanism including the procedure and the related parameter calculation is presented,and the fault searching method and main fault statistics calculation are also presented based on SPF tree.Finally,the method is applied in the fault diagnosis of the certain type of embedded terminal to demonstrate fault information searching in the condition of the synonymous branch,the virtual branch merging and visual presentation of search results.The application shows that the proposed method is effective to narrow down the scope of searching fault and reduce the difficulty of computing.The proposed method is a new way to resolve the intelligent fault diagnosis problem of complex systems by organizing the disordering fault records and providing intuitive expression and intelligent computing capabilities.展开更多
Fault block reservoirs are one of the main types of hydrocarbon reservoirs found in offshore basins,and they are widely distributed within the Mesozoic and Cenozoic basins of the northern South China Sea.Conventional ...Fault block reservoirs are one of the main types of hydrocarbon reservoirs found in offshore basins,and they are widely distributed within the Mesozoic and Cenozoic basins of the northern South China Sea.Conventional seismic profiles of complex fault areas often contain obvious fragmentation and distortion of seismic events that is corresponding to geological structure under the fault.This phenomenon is known as a fault shadow;it occurs in relation to rapid changes in velocity near the fault that deviate the ray path of waves,and it seriously affects the ability to determine the geological structure and subsequently evaluate the reserves of fault reservoirs.In the current conventional tomography inversion method,the velocity model is over-smoothed,which results in distortion of the reflection layer under the fault.Based on the velocity tomography inversion of imaging gathers method and the concept of regularization,this paper first introduces the anisotropy Gauss regularization operator.A high-resolution tomography inversion method is then developed,and the fault-controlled geological guidance is constrained.This technology is then applied to a complex fault block reservoir basin in the South China Sea,and the results show that it can significantly solve the problem of fault shadow imaging and determine the geological structures in the target area.The newly developed method thus has very good application prospects.展开更多
基金supported by National Hi-tech Research and Development Program of China (863 key Program,Grant No.2007AA040701)Chongqing Municipal Natural Science Foundation Project of China (Grant No. CSTC2010BB4295)+2 种基金Research Fund for the Doctoral Program of Higher Education of China (Grant No.20100191120004)Fundamental Research Funds for the Central Universities of China (Grant No. CDJXS11111136)Research Foundation of Chongqing University of Science and Technology,China(Grant No. CK2010Z10)
文摘The historical records of mechanical fault contain great amount of important information which is useful to identify the similar fault.The current fault diagnosis methods using historical records are inefficient to deal with intuitive application and multicomponent multiphase fault diagnosis.Towards the problem,the rapid and intelligent fault diagnosis method based on system-phenomenon-fault （SPF） tree is proposed.The method begins with the physical system of the fault system,conceives the fault causes as leaves,the fault causes as leaves and the frequentness of fault as the interrelationship,and finally forms the fault tree with structural relationship of administrative subordination and flexible multi-granularity components.Firstly,the forming method of SPF tree is discussed;Secondly some basic definitions as synonymous branch,the tough degree of the branch,the dominant leaf,and the virtual branch are defined;and then,the performances including the merger of the dominant branches keeping dominant,the merger of the synonymous branches keeping dominant were proved.Furthermore,the merging,optimizing and calculating of virtual branch of SPF tree are proposed,the self-learning mechanism including the procedure and the related parameter calculation is presented,and the fault searching method and main fault statistics calculation are also presented based on SPF tree.Finally,the method is applied in the fault diagnosis of the certain type of embedded terminal to demonstrate fault information searching in the condition of the synonymous branch,the virtual branch merging and visual presentation of search results.The application shows that the proposed method is effective to narrow down the scope of searching fault and reduce the difficulty of computing.The proposed method is a new way to resolve the intelligent fault diagnosis problem of complex systems by organizing the disordering fault records and providing intuitive expression and intelligent computing capabilities.
基金the National Science and Technology Major Project of China(No.2016ZX05026-002)the National Natural Science Founda-tion of China(Nos.42106072,42074138)+4 种基金the Shandong Provincial Natural Science Foundation(No.ZR2020QD071)the Major Scientific and Technological Innovation Project of Shandong Province(No.2019JZZY010803)the Fundamental Research Funds for the Central Universities(No.201964016)the Shandong Province post-doctoral in-novation projects of special funds(No.201903079)the China Scholarship Council(No.201906335010).
文摘Fault block reservoirs are one of the main types of hydrocarbon reservoirs found in offshore basins,and they are widely distributed within the Mesozoic and Cenozoic basins of the northern South China Sea.Conventional seismic profiles of complex fault areas often contain obvious fragmentation and distortion of seismic events that is corresponding to geological structure under the fault.This phenomenon is known as a fault shadow;it occurs in relation to rapid changes in velocity near the fault that deviate the ray path of waves,and it seriously affects the ability to determine the geological structure and subsequently evaluate the reserves of fault reservoirs.In the current conventional tomography inversion method,the velocity model is over-smoothed,which results in distortion of the reflection layer under the fault.Based on the velocity tomography inversion of imaging gathers method and the concept of regularization,this paper first introduces the anisotropy Gauss regularization operator.A high-resolution tomography inversion method is then developed,and the fault-controlled geological guidance is constrained.This technology is then applied to a complex fault block reservoir basin in the South China Sea,and the results show that it can significantly solve the problem of fault shadow imaging and determine the geological structures in the target area.The newly developed method thus has very good application prospects.
基金supported by Youth Project of National Natural Science Foundation of China“The discrete isoperimetric problem of graphs and the study of weierstrass type functions with extremely related conditional connectivity”(12101528)。
