• 诊断实例表明基于支持向量机的多故障分类对设备故障具有好的分类效果。

    The twin screw extruder fault diagnosis by multi-fault classifier based on SVM is mainly discussed and the retest proves that this SVM really has preferable ability of classification.

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  • 依据简化算法实现故障分类参数优化,并应用汽轮发电机组的故障分类

    Then a simplified algorithm was proposed in order to achieve parameter optimization of fault classifier for turbo-generator sets.

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  • 应用结果表明,不必进行信号预处理提取特征需要用少量时域故障数据样本建立故障分类

    Training the multi-fault classifier only needs a small quantity of fault data samples in time domain, and does not need signal preprocessing for extracting signal features.

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  • 提出基于的多类别模式识别算法(简称核子空间法,KSPM),依据此算法建立故障分类器

    A novel multi-class classifier with kernels, namely kernel Subspace Methods (KSPM), was presented, and a multi-fault classifier based on the algorithm was constructed.

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  • 依据简化算法实现分类故障分类的参数优化,并应用于汽轮发电机组的蒸汽激励轴瓦松动故障分类器中。

    The simplified algorithm was applied to fault classifier which classifies steam oscillation fault and bearing bushing looseness fault of turbogenerator set.

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  • 方法将振动信号小波分解频带能量作为特征向量输入由多个支持向量机构成的多故障分类器中进行故障识别和分类

    According to the method, the energy of different frequency bands after wavelet packet decomposition constitutes the input vectors of support vector machine as feature vectors.

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  • 为了帮助进行故障排除,VMwareESX服务崩溃时,可以多种方法根据崩溃的现象对问题进行分类

    To aid in troubleshooting, you can categorize problems when a VMware ESX server fails in several ways, depending on the failure.

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  • 各类训练示例大小平衡或者数据独立性不符合要求Naive Bayes分类会出现故障

    Naive Bayes classifiers often break down when the size of the training examples per class are not balanced or when the data is not independent enough.

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  • 在此基础研究用球结构支持向量分类器,对滚动轴承故障劣化程度进行识别理论方法

    Basing on these, study theory and method of using Sphere-structured Support Vector Machines to recognize the roll bearing inside track's fault deterioration extent.

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  • 研究了一种模糊表示火箭发动机故障模式神经网络分类器

    A neural network classifier that utilizes fuzzy sets as failure classes of a liquid propellant rocket engine is studied.

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  • 钻井平台服务潜水分类功能基本性能要求常见故障

    The classification, functions, basic requirements and the common failures and hitches of the submersibles survecl for drilling rigs are introduced in this paper.

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  • 该文介绍BP网络学习过程以及模式识别角度应用BP神经网络作为分类进行机械故障诊断

    The paper introduces the studying process of the BP network and USES the BP network for the mechanical failure diagnoses as assorted organ in the mode identification.

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  • 针对电力电子电路参数故障诊断问题,提出基于模糊推理分类器融合诊断方法。

    Aiming at the parametric faults diagnosis of the power electronic circuits, a method based on classifiers fusion was proposed to diagnose the circuit by using the fuzzy inference process.

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  • 提出了一种利用支持向量(SVM)机械系统故障进行分类方法分类为基础,开发了基于支持向量机的多值分类

    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.

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  • 结果表明CP神经网络构筑故障模式识别很强的非线性映射能力机械设备故障模式进行正确分类

    The result indicates that based on CP neural network, the fault pattern recognition system has strong nonlinear mapping ability, therefore it can be used to correctly classify the mechanical faults.

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  • 电力变压故障诊断仿真实验结果表明利用分类方法可以提高数据分类精确性

    The result of simulative experiment for power transformers fault diagnosis shows that the method can overcome the before-mentioned shortcomings and improve the accuracy of data classification.

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  • 机械故障诊断中,特征选择分类器参数优化都可以提高诊断精度

    Feature selection and parameters optimization of the fault classifier can enhance the fault diagnosis accuracy.

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  • 此外容易把新的训练样本添加以前训练好的分类器中,便于提高故障诊断结果准确性。

    In addition, newly trained patterns can easily be supplemented to the already trained classifier, thus facilitating the improvement of the accuracy of diagnosis results.

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  • 试验结果表明PCA正常故障样本较大区分度,SVDD分类器能很好的分辨出轴承正常和故障状态并且未知故障有良好识别能力

    The test result shows that after the extraction of PCA, the SVDD classifier distinguished the normal and fault condition finely, and it also has good recognized ability to unknown fault samples.

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  • 基于粗糙模糊贝叶斯最优分类器提出变压绝缘故障诊断维护综合决策模型

    Based on Bayesian optimal classifier, combining with rough set and fuzzy set, a new transformer fault diagnosis and maintenance mode is presented in the paper.

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  • 为此提出了一种微生物发酵故障诊断方法两个关联向量分别作为观测分类器

    Here a new method for fault diagnosis of microbiological fermentation sensor was provided, i. e. two relevance vector machines were used as observer and classifier respectively.

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  • 研究结果表明训练成功BP网络作为智能分类对斜轴常见故障进行识别诊断。

    According to the fault features extracted from the pump vibration via wavelet transform, the working conditions and the faults of the pump can be classified and identified by the BP neural networks.

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  • 优化得到复合特片作为故障识别分类器根据不同检测环境,选取不同的终端集,从而降低检测环境对诊断结果的影响。

    Then the optimal compound feature is searched by GP in the statistics and operators library. The compound feature is taken as classifier of fault diagnosis.

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  • 充分利用神经网络极强模式分类能力神经网分类器故障信号进行多参量识别

    Because neural networks have a very strong ability in pattern recognition, an NN classifier is used in the multi-parameter recognition of fault signals.

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  • 介绍了DZL1 1 8系列漏电断路产品故障分类及其分布分析了故障原因

    The classification of failure and its distribution of DZL118 series residual current operated protective device were introduced, the causes of failure were analyzed.

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  • 实验表明提出的选择性叶斯分类适于变压故障诊断

    Experimental results show that Bayes classifier is suitable for the transformer fault diagnosis.

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  • 设计了基于听觉原理支持向量机分类器的风机故障诊断系统应用于风机故障诊断。

    A fault diagnosis system is designed based on auditory principle and SVM, and is also applied to fault diagnosis for fan.

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  • 设计了基于听觉原理支持向量机分类器的风机故障诊断系统应用于风机故障诊断。

    A fault diagnosis system is designed based on auditory principle and SVM, and is also applied to fault diagnosis for fan.

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