The timing sequence of the whole fault recognition mechanism is shown in Figure 10.
整个故障确认机制的时序如图10所示。
Our paper probed into the approach of fault recognition of 3d seismic coherent data.
本文探讨了三维地震相干数据的断层识别方法。
To facilitate rapid reaction times, fault recognition is usually carried out by newly developed mechanisms.
为了方便快速识别错误，故障识别通常采用新机制。
When fault recognition timer has exceeded the fault recognition time, the fault will be regarded as final fault.
当故障确认定时器超过了设定的故障确认时间，则将故障视为最终故障。
To ensure the accuracy and stability of fault diagnosis, this diagnosis strategy sets up fault recognition mechanism.
为了保证故障判断的准确性和稳定性，本诊断策略设立故障确认机制。
When the system reports fault, the timing of fault recognition time will be initiated, and the fault is regarded as quasi-fault.
当系统报告故障时，将开始故障确认时间的计时，并将故障视为准故障。
To enhance the ability of fault recognition, a new method for searching the fault origin from the multivariate statistical aspect is presented.
为了提高多元统计过程控制的故障识别能力，提出了一种基于多元统计过程控制的识别故障源的新方法。
The system solves the problems of the traditional on line analysis method, such as the window function and energy leak, and promote fault recognition rate.
这个系统将最大熵谱分析方法应用于在线监测分析中，解决了传统在线分析方法的窗函数和能量泄漏等问题，提高了分析过程的故障识别率。
The AE signals of tool conditions were decomposed using a recursive wavelet from which the features are extracted and delivered to an ART2 network for fault recognition.
对刀具AE信号进行递归小波分解，提取特征并应用ART2网络识别刀具状态。
The AE signals of tool conditions are decomposed using a recursive wavelet from which the features are extracted and delivered to an improved ART2 network for fault recognition.
对刀具ae信号进行递归小波分解，提取特征并应用于改进的ART2网络识别刀具状态。
According to this theory, this paper gives an instance for analyzing a vibration signal of reciprocating compressor valve. The method is fairly effective in mechanical fault recognition.
借此理论，本文对较为复杂的往复式空气压缩机气阀振动信号作了分析，探讨了用于故障气阀自动识别的方法，收到了较好的效果。
After signal local wave decomposition, the information entropy according to time-frequency distribution was established, and it was used as characteristic parameter for fault recognition.
对信号进行局域波分解后，建立基于时频分布的信息熵，以此作为故障识别的参数。
The model is comprised of inherent diagnosis layer, fault propagates recognition layer and adaptive diagnosis layer.
模型采用三层结构，包括固有诊断层、故障传播识别层和适应性诊断层。
By applying fuzzy pattern recognition and maximum membership rule, fault diagnosis model for condenser has been established and its accuracy for identifying faults is tested and verified.
应用模糊模式识别方法及最大隶属原则，建立了凝汽器故障诊断模型，并以实例验证该模型识别故障的准确性。
A novel method of pattern recognition and fault diagnosis in electrical machine based on the wavelet-neural network is proposed according to the frequency spectrum characteristics of vibration signal.
针对电机振动信号的频谱特点，提出基于小波神经网络技术的电机故障模式识别与诊断的新方法。
Fault pattern recognition of rolling bearing is studied.
对滚动轴承的故障模式识别方法进行了研究。
Fault diagnosis is an active subject in the area of computer pattern recognition.
故障诊断是计算机模式识别领域的一个活跃课题。
The relative correlation distance entropy is applied to fault diagnosis and state recognition of aero engine rotor-case system.
将相对关联距离熵应用于航空发动机转子—机匣系统状态识别和故障诊断。
A new approach of fault type recognition in transmission line is proposed based on fractal theory.
提出了基于分形理论的高压输电线路故障类型识别新方法。
Partial discharge pattern recognition is considered as an effective tool for insulation fault diagnosis on high voltage electric equipment.
局部放电模式识别是一种高电压设备绝缘故障诊断的有效方法。
To select feature samples in circuit fault diagnosis, we propose a method of cloud-sample generation, and apply it to artificial-neural-network training and recognition.
为了选择电路故障诊断中的特征样本，提出了产生云样本的方法，并用于神经网络的训练和识别。
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.
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。
Many functions such as pattern recognition, fault diagnosis and multi-objective optimization could be realized by the system.
该系统能实现模式识别、故障诊断、多目标优化等功能。
SVM applications, such as pattern recognition, function approaching, time series prediction, fault prediction and recognition, information security, power system and power electronics, are described.
归纳了支持向量机在诸如模式识别、函数逼近、时间序列预测、故障预测和识别、信息安全、电力系统以及电力电子领域中的应用。
The method realizes classification of fault by near-neighborhood criteria of pattern recognition and cellular ant algorithm.
该方法利用模式识别中的近邻准则，使用元胞蚂蚁算法实现故障的分类，达到故障诊断的目的。
Through study of the recognition of fault data, a data quality control algorithm is put forward.
通过对故障数据识别的研究，提出一种数据质量控制算法。
Using the basic principle of spectrum decomposition, the paper conducted the recognition of fault system, analysis of sedimentary environment and lateral prediction of reservoir.
本文根据频谱分解技术的基本原理，进行了断裂系统识别、沉积环境分析和储层横向预测。
Currently, RST has been applied in many fields as artificial intelligence, machine learning, data mining, decision support and analysis, process control, pattern recognition, fault detection.
目前，粗糙集理论已被成功地应用在人工智能、机器学习、数据挖掘、决策支持与分析、过程控制、模式识别、故障检测等领域。
It provided references of programming and developing of nearby coal seam No. 12-2, fault extent recognition and even minefield stress pattern distribution research.
对周边12 - 2煤层的规划开发、断层样式的认识乃至井田应力场分布的研究提供了依据。
It provided references of programming and developing of nearby coal seam No. 12-2, fault extent recognition and even minefield stress pattern distribution research.
对周边12 - 2煤层的规划开发、断层样式的认识乃至井田应力场分布的研究提供了依据。
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