对连续搅拌釜式反应器（CSTR）的仿真结果表明，该集成故障诊断方法能够对多重传感器故障进行快速准确的分离和估计，并对传感器故障具有容错性。
The simulation for CSTR shows that the presented approach can isolate and estimate the multiple sensor faults quickly and accurately and the integrated system has tolerantability to sensor faults.
提出了一种粗糙集理论与神经网络集成的风机故障诊断方法。
A new method of rough set and neural network for fan trouble diagnosis is presented.
提出一种基于核主元分析(KPCA)和多级神经网络集成的汽轮机故障诊断方法。
One new method for fault diagnosis of steam turbine based on kernel principal component analysis (KPCA) and multistage neural network ensemble was proposed.
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