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Studies on Prediction Method of Multi-transform Domains and Non-linear Fault Trend Oriented to Wind Turbine

机译:面向风轮机的多变换域及非线性故障趋势预测方法研究

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Chinese wind power industry is in the ascendant.The hidden fault development trend prediction technology will become increasingly important for improving the efficiency of wind turbines.Faced to the changing condition and non-stationary character of equipment,this paper proposed a data-based multi-transform domains non-linear fault trend prediction technique.The mechanical systems physical information and failure prediction value information was integrated in this technique.Multi-transform domains and non-linear dimensionality reduction method used to analysis equipment working state and extract failure feature of topology domain.This technique try to solve the problem that fault development information is often flooded by irregular state change information.
机译:中国的风电产业方兴未艾。隐性故障发展趋势预测技术对于提高风力发电机的效率将越来越重要。针对设备的变化情况和非平稳性,本文提出了一种基于数据的多指标方法。变换域非线性故障趋势预测技术。将机械系统物理信息和故障预测值信息相结合。多变换域和非线性降维方法用于设备工作状态分析,提取拓扑域故障特征该技术试图解决故障发展信息经常被不规则状态变化信息淹没的问题。

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