相反，您必须尝试为系统预测最可能的故障模式，并决定在各种情况下，哪些操作最可能产生最有用的信息。

Rather, you must try to anticipate the most likely failure modes for the system and decide which actions are most likely to yield the most useful information in each case.

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首先，你可以抽取混沌系统固有的基本模式，取得良好的预测。

First, you can milk underlying patterns inherent in chaotic systems to make good predictions.

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本文主要对模糊系统和神经网络技术在模型预测、故障模式分类和智能监测中的应用进行了研究。

In this paper the technologies of model forecasting and the fault model identification and the intelligence monitoring using fuzzy system and neural network are studied.

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