In order to optimize the design of MLP network structure for fault classification, an optimum approach based on fuzzy logic is presented.
为了优化用于故障分类的多层前馈网络结构配置,提出了一种基于模糊逻辑的优化方法。
Dividing the working states of the equipment into three states has the higher accuracy for fault classification of the equipment than that of two-state models.
将设备运行状态划分为三种状态,比以往的两态模型对于设备的故障分类具有更高的准确性。
This paper studies the fault classification and diagnosis method of the double-bridge 12-pulse waveform controlled rectifier circuit based on pattern recognition.
研究了一种双桥并联可控整流电路的故障分类及诊断方法。
Based on the ship power plant, this paper firstly introduces the definition of fault, fault classification, and describes the process of finding fault reasons in practice.
本文以船舶动力装置为对象,介绍了故障定义、故障的分类,并阐述了船舶生产实践中故障原因的查找过程。
In the experiment, the fault classification accuracy of the weighted algorithm of DVDM and IVDM increase more than 10 percent. It shows this theory has upper reliability and precision.
通过实验及结果分析,显示加权后DVDM和IVDM算法的故障分类准确度增长10%以上,说明该理论算法具有较高的可靠性和准确度。
A new method of fault classification for mechanical system by means of support vector machine (SVM) is proposed and a multi-class SVM classifier based on binary classification was developed.
提出了一种利用支持向量机(SVM)对机械系统故障进行分类的新方法;以二值分类为基础,开发了基于支持向量机的多值分类器。
In this paper, a hybrid fuzzy neural network architecture is proposed for complex diagnosis objects. A series of fuzzy neural sub networks are integrated to perform the task of fault classification.
对于复杂的诊断对象,本文提出了一种复合模糊神经网络结构,该神经网络结构集成了一系列模糊神经子网络,来完成故障分类任务。
In this paper, a hybrid fuzzy neural network architecture is proposed for complex diagnosis objects. A series of fuzzy neural sub networks are integrated to perform the task of fault classification.
对于复杂的诊断对象,本文提出了一种复合模糊神经网络结构,该神经网络结构集成了一系列模糊神经子网络,来完成故障分类任务。
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