诊断实例表明，基于支持向量机的多故障分类器对设备故障具有很好的分类效果。
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.
依据该简化算法，实现了故障分类器的参数优化，并应用于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.
应用结果表明，不必进行信号预处理以提取特征量，只需要用少量的时域故障数据样本建立故障分类器。
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.
提出了一种基于核的多类别模式识别算法(简称核子空间法，KSPM)，依据此算法建立了多故障分类器。
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.
依据简化算法实现了二分类故障分类器的参数优化，并应用于汽轮发电机组的蒸汽激励和轴瓦松动故障的分类器中。
The simplified algorithm was applied to fault classifier which classifies steam oscillation fault and bearing bushing looseness fault of turbogenerator set.
该方法将振动信号小波包分解后的频带能量作为特征向量，输入到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.
为了帮助进行故障排除，在VMwareESX服务器崩溃时，您可以以多种方法，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.
当各类的训练示例的大小不平衡，或者数据的独立性不符合要求时，Naive Bayes分类器会出现故障。
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.
在此基础上，研究了用球结构支持向量机作分类器，对滚动轴承内圈故障的劣化程度进行识别的理论和方法。
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.
研究了一种用模糊集表示火箭发动机故障模式的神经网络分类器。
A neural network classifier that utilizes fuzzy sets as failure classes of a liquid propellant rocket engine is studied.
钻井平台服务潜水器的分类、功能、基本性能要求及常见故障。
The classification, functions, basic requirements and the common failures and hitches of the submersibles survecl for drilling rigs are introduced in this paper.
该文介绍了BP网络的学习过程以及从模式识别角度应用BP神经网络作为分类器进行机械故障诊断。
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.
针对电力电子电路中器件的参数故障诊断问题，提出一种基于模糊推理的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.
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。
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.
结果表明，以CP神经网络构筑的故障模式识别器有很强的非线性映射能力，可对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.
电力变压器故障诊断的仿真实验结果表明，利用该分类方法可以提高数据分类的精确性。
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.
在机械故障诊断中，特征选择和分类器的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.
此外，很容易把新的训练样本添加到以前训练好的分类器中，便于提高故障诊断结果的准确性。
In addition, newly trained patterns can easily be supplemented to the already trained classifier, thus facilitating the improvement of the accuracy of diagnosis results.
试验结果表明，PCA对正常和故障样本有较大的区分度，SVDD分类器能很好的分辨出轴承正常和故障状态，并且对未知故障有良好的识别能力。
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.
基于粗糙集、模糊集和贝叶斯最优分类器，提出一种变压器绝缘故障诊断与维护的综合决策模型。
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.
为此提出了一种微生物发酵的故障诊断新方法，即两个关联向量机分别作为观测器和分类器。
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.
研究结果表明训练成功的BP网络可作为智能分类器对斜轴泵的常见故障进行识别和诊断。
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.
将优化得到的复合特片作为故障识别的分类器，并根据不同的检测环境，选取不同的终端符集，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.
充分利用了神经网络极强的模式分类能力，用神经网分类器对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.
介绍了DZL1 1 8系列漏电断路器产品的故障分类及其分布，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.
实验表明提出的选择性贝叶斯分类器适于变压器故障诊断。
Experimental results show that Bayes classifier is suitable for the transformer fault diagnosis.
设计了基于听觉原理和支持向量机分类器的风机故障诊断系统，并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.
设计了基于听觉原理和支持向量机分类器的风机故障诊断系统，并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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