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Research On The Method Of Locating Fault Change Region Based On The Behavioral Profiles Of Petri Nets

Posted on:2018-09-30Degree:MasterType:Thesis
Country:ChinaCandidate:Y ZhangFull Text:PDF
GTID:2348330515993643Subject:Applied Mathematics
Abstract/Summary:PDF Full Text Request
Fault diagnosis in business process model system is an important research topic in business process system,in the business process,the management of the system includes three parts:the design and implementation of the process operation,the establishment and analysis of the flow model and the execution of the running program.The key point of the research is how to locate the fault region in the business process system and standardize the process system.Due to the interaction between the model and other uncertain factors,the source model and the target model are inconsistent,in business process model system running,that is,the change region of process model.The so-called fault region,also known as the fault change region,is a region in the change region.The influence of the system operation leads to abnormal operation of the system and result in the failure of the region.In the model,the changing region does not always make the system fail,however,if there is a fault region in the process model,there must be a change region,that is,the fault domain is a necessary condition for the existence of the change domain.Research on fault region in location business process system,not only helps to reduce operating costs,but also can control the impact of the failure domain on the overall process model,Improve the efficiency of the normal operation of the system,and can improve the production efficiency,improve the quality of services are playing an important role.Therefore,it is very important for the development of business process to locate the fault change region in the field of business process management.With the growing scale of computer system and business system,business process management becomes more and more important,the requirements of the business process is also relatively improved a lot.More and more systematic errors are caused by system synthesis and model synthesis.It has been proved that the theory of Petri net and behavior profile is very effective for the analysis of fault change region,but this method is put forward in the absence of a change log,so there are some limitations,therefore,the relationship between the fault of the system Petri net model synthesis and the change region of the system behavior is discussed,the utility model can well locate the fault change area,improve the operation efficiency of the operation,and then achieve the high efficiency production and service.For the fault change region in the location model system,the existing method is to find the change area by slicing method,this method has a large amount of computation and is insufficient for the accuracy of large and complex systems.Aiming at this problem,this paper mainly studies the process model from two aspects:behavior and structure on the basis of behavioral profile and causal behavior profile,the event trajectory and model structure are studied,therefore,the fault location in the business process system can be accurately located,which makes the method more complete.The main contributions of this paper are followed.Firstly,for the known source model and event sequence set based on the research process model changes,through the study of the behavior of behavioral trajectories in the system generated by the weak order of the relationship between the source model and inconsistent,this paper presents a method based on Petri nets behavior theory to locate the fault change region in the process system.The possible causes of this change are analyzed.and the structural characteristics of these changes are studied,so as to locate the possible faults region,and to analyze the fault variation region of the corresponding system.Fast and accurate fault location is a difficult problem in the research of flow model.At present,aiming at the research background is based on the free choice network,There are some solutions for the research.The existing methods have some limitations for the localization of large complex process models and fault region.This paper is based on the behavior contour theory of Petri nets,In this paper,based on the Petri nets behavior profile theory,analysis and Research on free choice network,by capturing the event trace of the system behavior,and comparing the weak order relation between the changes in the source model,and analyzing the behavior changes in the process,we can find the location of the change region.The diversification of the actual needs of computer systems and business process systems,and the integration and interaction of multiple models in business process management systems are also becoming increasingly common.In the existing research results,the research results of behavior transformation analysis are mostly from the domain of business flow system and the analysis of change propagation.Research on the propagation of the model among the models,but did not explore how to find the changes in the node,and rarely find out the reasons for the change from the location of change nodes.Based on the above analysis,the fault localization region is analyzed by capturing the system operation behavior and the event trajectory set captured by the information system,The root cause of the fault change domain is obtained,and the location of the fault region is searched quickly and accurately.From the perspective of behavior profile,combined with causal behavioral profile.Analyze the location of the fault region of the business system.Explore the causes of these behavioral changes,and further locate the structural change region in the business process system for the new minimum structure fault region,to ensure the normal operation of the business process system.Finally,the accuracy of the method is proved by a series of experiments.
Keywords/Search Tags:fault region, change region, fault transition, weak order relation, behavioral profiles, Petri nets
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