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首页> 外文期刊>Network Daily News >Reports Outline Networks Study Results from Key Laboratory of Metallurgical Equipment and Control Technology (Prognostics and Predictive Maintenance Optimization Based on Combination BP-RBF-GRNN Neural Network Model and Proportional Hazard Model)
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Reports Outline Networks Study Results from Key Laboratory of Metallurgical Equipment and Control Technology (Prognostics and Predictive Maintenance Optimization Based on Combination BP-RBF-GRNN Neural Network Model and Proportional Hazard Model)

机译:报告大纲网络研究的研究结果来自冶金设备和控制技术的关键实验室(基于BP-RBF-RBF-GRNN神经网络模型和比例危害模型的预测和预测维护优化)

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By a News Reporter-Staff News Editor at Network Daily News – A new study on networks is now available. According to news reporting out of the Key Laboratory of Metallurgical Equipment and Control Technology by NewsRx editors, research stated, “Owning to the advantage of keeping the operating environment safe, high reliability, and low production cost, predictive maintenance has been widely used in industry and academia. Predictive maintenance based on degeneration state mainly studies the degeneration prediction.”
机译:由Network Daily News的新闻记者播放器新闻编辑 - 现在可以提供一项有关网络的新研究。 根据NewsRX编辑的新闻报道,News Reportor的冶金设备和控制技术的重要实验室报告说:“拥有确保运营环境安全,高可靠性和低生产成本的优势,预测性维护已广泛用于行业 和学术界。 基于退化状态的预测维护主要研究退化预测。”

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