Some procedures or functions had be added to an ESTA (Expert System Shell for Text Animation) so that the ESTA and MATLAB can communicate via some data files.On this basis,a deep learning-DBN(Deep Belief Network) and two BP(back propagation) artificial neural network based on the MATLAB programming were researched by using directly DGA (Dissolved Gas Analysis) and characteristic gas method in transformer oil chromatographic analysis.The transformer fault diagnosis expert system based on a three ratio and characteristic gas method of DGA and ESTA including the DBN and two BP artificial neural network programmed in MATLAB had be created.The basic application shows the effectiveness of the expert system.
An application research work had improved a Bayesian network rule function of Pro/3 (a production system type expert system shell). This improvement makes it possible for the same rules to ask the same evidence such as the evaluated probability or the certainty factor only once, which can avoid repetitive ask, adding simplicity and improving performance of Pro/3 system. By using it, this work had also created a transformer component fault diagnosis knowledge base model based on the Bayesian network rule so that using the model had implemented an expert system prototype system. The basic application shows the effectiveness of the improvement and the prototype system.
It makes possible that it can do basic uncertain inference and directly read/write some table contents of MySQL database with improved ESTA 4.5 (Expert System Shell for Text Animation) based on Visual Prolog 6.3 and Windows, namely adding some uncertain inference functions and some interaction functions with MySQL to the ESTA. It put forward also an uncertain inference method in the ESTA 4.5 based on Visual Prolog 5.2 and Web. It had designed and implemented a condition evaluation expert system of substation DC (Direct Current) system based on the improved ESTA and the enterprise standards (Q/GDW 607-2011) of State Grid. The test shows that the uncertain inference of improved ESTA has feasibility, the interaction with MySQL simplifies some rules of writing and enhances flexibility of it, and the expert system is effective and practical.
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