A diesel engine fault diagnosis model based on three-layer BP network is put forward, an step-changing learning algorithm based on gold-segmentation is given.
提出了一种基于三层BP网络的柴油机故障诊断模型，给出了一种基于黄金分割法的变步长学习算法。
The structure and algorithm of artificial neural network model were described, and the model and learning-procedure of mechanical fault diagnosis neural network were designed.
阐述了人工神经网络模型的一般结构和算法，并设计了机械故障诊断神经网络的模型和学习过程。
For the loosely coupling distributed structure of ship dynamic positioning system, a new distributed system level fault diagnosis algorithm based on adaptive PMC model is proposed.
针对松散耦合的船舶动力定位系统分布式体系结构，提出了一种基于改进的二值pmc模型的分布式系统级故障诊断算法。
Furthermore, the experiment using the learning algorithm to model a servo-mechanism and to construct the fault diagnosis system based on the model is carried out, the results is very good.
用这种学习算法建立某伺服机构的模型，并构造基于模型的故障诊断系统，通过实验取得了较好的结果。
To counter the weakness in traditional diagnosis algorithm, we have set up a framework of equation diagnosis algorithm for PMC model in 2003.
针对传统诊断算法的弱点，作者于2003年建立起了PMC模型方程诊断算法的框架。
On the basis of researching the optimization of neural network through ant colony algorithm, the mine hoist reducer gear failure diagnosis model is established.
在研究蚁群优化神经网络训练算法的基础上，建立了矿井提升机减速器齿轮故障诊断模型。
Based on LM algorithm of an artificial neural network, a model for fault warning diagnosis of wind power units has been established.
基于人工神经网络LM算法，建立了风力发电机组故障预警诊断模型。
The results show that the adaptive PMC model is applicable, the distributed system level diagnosis algorithm is proper, and the applications of diagnosis and verification are reliable and practicable.
结果表明：改进的PMC模型适用，所提出的分布式系统故障诊断算法正确，故障诊断与验证应用程序可靠、实用。
In the paper, a model based diagnosis using qualitative causal model and polynomial algorithm is presented, which has less computation burden and the correctness of this new algorithm is proved.
提出一种使用定性因果与多项式算法的模型诊断方法，此方法可以明显地减少诊断的计算量，并且对这种新算法的正确性给予了证明。
In the paper, a model based diagnosis using qualitative causal model and polynomial algorithm is presented, which has less computation burden and the correctness of this new algorithm is proved.
提出一种使用定性因果与多项式算法的模型诊断方法，此方法可以明显地减少诊断的计算量，并且对这种新算法的正确性给予了证明。
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