Condition Monitoring And Troubleshooting Of Metro Shield Equipment

The vigorous development of rail transport construction in many cities of our country, as the current tunnel construction for major equipment, the TBM is playing an increasingly important role. As the TBM is a large and complex equipment which include machines, electrical and hydraulic, thus a timely analysis of the causes of equipment failure and a correct prediction of potential equipment failure information, thereby reducing the work process downtime due to failure of the time. All of these will bring significant economic benefits.After deeply studying in the mechanism of TBM, collecting the knowledge and experience about shield fault diagnosis, combining common diagnosis methods based on knowledge, analyzing the features of TBM fault diagnosis, and using expert system as method, a whole system scheme is proposed. This paper presents its own designs of a fuzzy recognition method based upon the comprehensive static and dynamic membership computing to deal with the fuzziness aspect of the object of research,of a probability and statistics method of recognition based upon the Bayesian principle to deal with the aspects of possibility and coupling.This paper researched a series of key questions, with the guidance of software engineering theory, technology of object-oriented design and two kinds of data accessing technologies, programmed a Inteligent Fault Diagnosis System of TBM based on expert system. The system is able to diagnose interactively and automatically, and also able to diagnose the Status of Device on-line.