A Novel Method for Evaluating the Operating Status of Complex Intelligent Equipment

摘要

At present, there is no good analytical method for determining the operating status of the complex intelligent equipment. Decision methods based on thresholds have limitations, often get false positives and false negatives, and there are problems with wasted energy, high maintenance costs and low efficiency. Therefore, in order to reflect the overall operating status of the complex intelligent equipment effectively, we proposed a comprehensive operating status evaluation method based on the data-driven method, and gave the health degree is used to quantify its operating status. First, we analyzed the relationship and differences between feature parameters, and used GBDT regression algorithm to build the fitted model. Then we gave the definition and calculation method of health degree. Finally, we combined the regression model with the health degree to evaluate the operating status of the complex intelligent equipment. Our experimental results demonstrate the feasibility and effectiveness of the proposed analytical method in evaluation of the operating status of complex intelligent equipment.