The test results indicate that the fault diagnosis system designed with the virtual DCS-based simulation system realizes the real-time fault diagnosis and accident prediction of the power plant.
对诊断系统的调试结果表明：基于虚拟dcs的仿真系统设计的故障诊断系统实现了火电厂的实时故障诊断与事故预报。
In accordance with the features of fault occurrence in aluminum electrolysis production the fault diagnosis and prediction method by using recognition and parameter estimation theory is presented.
针对铝电解生产过程故障发生的特点，提出用辨识及参数估计理论进行故障诊断预报的方法。
These researches overcome the shortcoming of needing many fault data samples of existing intelligent diagnosis methods, and provide a new method for machinery fault diagnosis and condition prediction.
本项目的研究克服了传统的智能诊断需要大量故障数据样本的不足，为机械故障诊断和状态预测提供了一种新方法。
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