故障分析器使用由崩溃的线程调用的函数序列来为崩溃生成一个惟一的签名。
Fault analyzer USES the sequence of functions called by the thread that crashed to develop a unique signature for the crash.
增加了一组新的调试消息，帮助开发人员排除管道和管道序列的故障。
A new set of debugging messages is available to help you troubleshoot pipe and pipeline development.
这个文件还包含了有关出现电源故障时执行的操作(如果系统支持)、以及在检测到Ctrl - Alt - delete键序列时应该如何反应的信息。
This file also contains information about what to do when a power failure occurs (if the system supports it) and how to react when it detects the Ctrl-Alt-Delete key sequence.
故障树分析、事件树分析、事故序列定量评定以及不确定性分析等。
The study includes fault tree analysis, event tree analysis, accident sequence quantification and uncertainty analysis.
设计了基于序列聚类算法的故障告警关联规则分析模型。
A fault alarms correlation rule analysis model based on sequence clustering algorithm is designed.
对导致反应堆控制系统故障的事故序列进行了识别，计算了该系统顶事件的概率。
The event sequences leading to the reactor control system failure are identified and the top event probability of this system is calculated.
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。
SVM applications, such as pattern recognition, function approaching, time series prediction, fault prediction and recognition, information security, power system and power electronics, are described.
提出了带有周期通信序列（PCS）的多输入与多输出分布式网络化控制系统的故障诊断方法。
The fault diagnosis of multi-input and multi-output distributed networked control system with periodic communication sequence(PCS)was investigated.
基于该网络的时间序列预测模型可以实现性能优越的非线性预报器，将其应用于非线性系统的故障预报能够取得良好的效果。
The LMBP neural network can predict nonlinear time series very well and the new method is effective for the fault prediction of nonlinear systems.
最后根据该方法组成了一个自回归时间序列模型库，用于转子故障的模型诊断中。
Then, an observer bank of autoregressive time series models based on multi-component neural-network architecture is used for model diagnosis of rotor fault vibration signals.
构造了元件的故障向量、故障频率序列、维修向量和修复序列。
The failure vector, failure frequency sequence, maintenance vector, and renovation sequence of repairable components were constructed.
构造了元件故障向量、维修向量、故障频率序列和修复序列，并利用其运算描述了元件的工作、故障、维修和修复过程，从而计算出在事后维修方式和维修时间分布影响下的元件动态可靠性指标：故障频率，有效度。
With them the process of units work, failure, repair and renovation is described, sequentially the dynamic failure and availability of the units can be computed under the influence of the repair time.
根据专家经验由假设建立一个候选集，每个候选故障的行为都是由与状态相关的瞬态分布征兆序列描述的。
A candidate set is set up with hypothesis according to experts experience, and the behaviors for each candidate fault are described by the temporally distributed symptoms relevant to the state.
根据相应于不同序列的语句，就可诊断出该语句代表的故障属性。
According to the different sentences, which correspond to the sequences, the fault attributes expressed by the sentences could be diagnosed.
利用不同层次的参数模型参数值序列之间的变化关系并采用由上至下的分层诊断策略进行故障诊断。
The corresponding relationships of variable parameter between different hierarchical parameter models and the top-down hierarchical diagnosis strategy were utilized to fault diagnosis.
特别针对模型未知的非线性系统，研究了时间序列分析和神经网络相结合的故障预报方法。
The methods, which combine time series analysis and neural networks, are especially studied and applied in the model-unknown nonlinear system.
基于时间序列的故障预测技术是其中的一个重要方向，国内外学者在这方面也取得了不少研究成果。
Researchers home or abroad have made many achievements in one of its branches-failure prediction technology based on time series.
本文提出了基于小波网络的非线性时间序列预报模型，探讨了非线性时间序列预报在故障预报中的应用。
Wavelet network based nonlinear time series prediction model is submitted, and nonlinear time series prediction and its application in fault prediction are discussed in this paper.
采用时间序列分析法对某型飞机的故障率进行预测，其结果可为可靠性维修提供理论依据。
The results from time array analysis to predict failure of an aircraft can provide theory basis for the reliability maintenance.
结合实验对齿轮箱信号进行时间序列分析，对比各种工况下的模型曲线，识别齿轮箱的运行故障。
Through experiment this paper analyses the signals of the gear box, then comparing with the model curve of the different conditions in order to distinguish the operating trouble of the gear box.
通过求取相关系数平均值，避免数据采集不同步引起的计算误差，得到按照发生线路故障可能性大小排列的故障选线序列。
The average correlation coefficient is calculated to remove the errors caused by asynchronous sampling and the faulty line selection list is sorted according to the fault probability of line.
这些基本曲线的解析式称为基函数，可以用相应的矢量表示，从而各种故障波形可用相应的矢量序列来表示。
The analytical forms of the curves were called basis functions, and could be expressed by the corresponding vectors. Thereby, all kinds of fault waveforms listed by their vectors.
研究液压系统的一种新的故障检测方法，利用时间序列双谱分析实现调速阀故障诊断。
In this paper, time series bi-spectrum analysis for fault diagnosis of speed-regulating valve is proposed to study a new fault detection method for the hydraulic system.
采用变更基本单元使能序列的方法求取上述最优目标函数值，实现了对电网故障的诊断与识别。
By use of changing the enable sequence of basic units, the value of above-mentioned objective function is calculated, so the diagnosis and recognition of power network faults are implemented.
分析了电磁轴承多传感器故障的基本特征，提出了电磁轴承多传感器故障诊断方法——基于序列变量的多值逻辑代数方法。
It was analyzed in detail about the way of fault diagnosis of the sensors of magnetic bearings in guidance with the multi-valued logic algebra.
本文运用时间序列方法研究工作状态下回转式压缩机的振动故障。
This paper used time series method to analyze the vibration faults of working compressor, and the time series model of vibration signal was setup in the paper.
最终，将各IMF与RF的预测结果相加以获得故障率时间序列的预测结果。
Finally, the prediction results of the failure rate data are obtained by integrating the prediction results of the IMFs and RF.
针对故障率时间序列的非线性与非平稳特性，提出一种基于支持向量经验模态分解(SVEMD)的预测方法。
A prediction method based on support vector empirical mode decomposition (SVEMD) is proposed to deal with the non-linearity and non-stationarity of failure rate data.
本文分析了补换油不确定性对光谱分析的影响，提出了基于多元线性回归和时间序列分析的光谱数据处理与磨损故障诊断的方法，并通过实例验证了这一方法的适用性。
This paper, firstly analyzes the affect caused by the uncertainty, then studies the statistics and time series based method for spectrographic oil data processing and wear diagnosis. An example …
本文分析了补换油不确定性对光谱分析的影响，提出了基于多元线性回归和时间序列分析的光谱数据处理与磨损故障诊断的方法，并通过实例验证了这一方法的适用性。
This paper, firstly analyzes the affect caused by the uncertainty, then studies the statistics and time series based method for spectrographic oil data processing and wear diagnosis. An example …
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