用于技术对象的状态诊断的聚合分类器

2019 International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon) Pub Date : 2019-10-01 DOI:10.1109/FarEastCon.2019.8934362

V. Klyachkin, J.E. Kuvayskova, D. Zhukov

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引用次数: 3

摘要

本文提出了用聚类图来预测技术对象运行的方法。当接收到对象操作指标的新信息时，需要更新分类模型。它可以使用伪梯度过程来更新基本模型参数，并在必要时更新聚合的分类器结构。

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Aggregated Classifiers for State Diagnostics of the Technical Object

In this paper the method to plot the aggregated classifier is suggested to forecast the technical object operation. When receiving new information about object operation indicators it turns out to be necessary to update the classification model. It can be done using the pseudo-gradient procedure for updating basic model parameters and for updating the aggregated classifier structure as well if necessary.

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2019 International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon)

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