In view of the fact that the fault of railway signal equipment is difficult to diagnose, this paper designs an expert system to simulate human experts to make decisions and improve the science of fault diagnosis. The design includes four aspects: First, a system structure composed of a database, a knowledge base, an inference engine, and an interpretation mechanism is designed; secondly, basic data of signal equipment, numerical standards of signal equipment, and equipment failure analysis data are designed. The knowledge base constituted; Thirdly, a functional structure consisting of data preprocessing, fault diagnosis, fault alarm, information prompt, fault statistics and system management is designed. Fourthly, the process of equipment fault diagnosis is designed by means of flow chart. and fourthly, a flowchart was used to design the equipment fault diagnosis process. The successful application of this system will help improve the actual work quality and improve the management and maintenance methods.
With the use of the homeomorphism theory and fixed point theory, the existence and uniqueness of solutions to boundary value problems are investigated. Two basic theorems are obtained without the boundness condition, which generalizes results of Brown. When our results are applied to the existence and uniqueness of periodic solutions for nonlinear perturbed conservative systems ( Newtonian equations of motion), the existence and uniqueness of the solution are obtained. The results in this note seem less restrictive than those of the former papers we have seen. Meanwhile, as far as we know, it seems that applying the homeomorphism theory to the research of this kind of problem is new.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.