The control valve selection is a much-needed breakthrough in the development of major technological equipment. The automation of the control valve selection process is still a challenge. Addressing this issue, an ontology model for automatic selection of control valves is proposed and a methodology for building the model is suggested, which fully characterizes structured and unstructured knowledge for automatic selection, and effectively captures the semantic association between application requirements and product features in the selection process. The experimental results demonstrate the effectiveness of this method for the automatic selection of control valves.
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