基于多层前向网络的诊断模型在设备故障诊断领域应用比较广泛。
Diagnosis models based on multilayer feedforward neural networks are widely used in the field of machinery fault diagnosis.
在不同噪声环境下，对基于EKF、UKF和PF的非线性随机系统的故障诊断方法进行了比较研究。
In various noise environments, the comparative studies have been carried out on the fault detection and diagnosis for nonlinear stochastic systems with EKF, UKF and PF, respectively.
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