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A SYSTEM AND METHOD FOR PREDICTING MILITARY EQUIPMENT FAILURE BASED ON ARTIFICIAL INTELLIGENCE USING UNSTRUCTURED DATA

机译:基于非智能数据的人工智能预测军事装备故障的系统和方法

摘要

The present invention relates to a military equipment failure prediction system for predicting a failure of military equipment. The military equipment failure prediction system comprises: a data collection unit for collecting maintenance data for each of a plurality of parts of the military equipment; a structured data preprocessing unit for analyzing structured data in the maintenance data to derive predictive variables necessary for prediction; an unstructured data preprocessing unit for converting unstructured data of the maintenance data into structured data to derive predictive variables necessary for prediction; a machine learning unit for updating a failure prediction model of the military equipment through machine learning by using at least one of the maintenance data and the predictive variables; a model optimization unit for optimizing a model parameter of a machine learning algorithm through a model optimization technique; and a failure prediction unit for predicting a failure of the military equipment based on the failure prediction model. Thus, a prediction rate of the military equipment prediction model is increased.
机译:军事设备故障预测系统技术领域本发明涉及一种用于预测军事设备故障的军事设备故障预测系统。军事装备故障预测系统包括:数据收集单元,用于收集军事装备的多个部分中的每一个的维护数据;以及结构化数据预处理单元,用于分析维护数据中的结构化数据,以得出预测所需的预测变量;非结构化数据预处理单元,用于将维护数据的非结构化数据转换为结构化数据,以导出预测所需的预测变量;机器学习单元,其通过使用维护数据和预测变量中的至少一个,通过机器学习来更新军事装备的故障预测模型;模型优化单元,用于通过模型优化技术优化机器学习算法的模型参数;故障预测单元,用于基于故障预测模型来预测军事装备的故障。因此,增加了军事装备预测模型的预测率。

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