摘要
由一名新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-调查人员发布了关于马学习的新报告。根据NewsRx Jo Urnalists在内布拉斯加州林肯的新闻报道，研究表明：“在空调设备的自动故障检测和诊断任务中，利用机器学习的优势已经有了许多最近的发展。一种常见的方法是开发一种机器学习模型，使用模拟或测量数据对故障状态进行分类。”并在训练用的同一系统上测试模型的故障诊断能力。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on Ma chine Learning. According to news reporting from Lincoln, Nebraska, by NewsRx jo urnalists, research stated, “There have been many recent developments to take ad vantage of machine learning for the task of automated fault detection and diagno sis in air-conditioning equipment. A common approach is to develop a machine lea rning model to classify fault status, using simulated or measurement data, and t est the model’s fault diagnostic capability on the same system that was used for training.”
NETL
NSTL