Expert diagnostic system of water pipes gusts in reservoir pressure maintenance processes
This paper solves the problem of water pipes state diagnostics in reservoir pressure maintenance processes. The solution of this problem actualizes the need of fuzzy expert system development for rapid identification of water pipe gusts. We present the structure of the system and description of its components. The main component of the expert system is a knowledge base consisting of fuzzy production rules systems. We used a fuzzy neural network to elaborate rules of knowledge base generation. We describe the features and results of knowledge base formation and present the developed method of water pipes leaks detection. The expert diagnostic system was successfully tested and commissioned. As a result, the system implementation has increased efficiency and accuracy of water pipes condition diagnostics.
2016 2nd International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM)