Finally, a kind of mixed fault prediction algorithm is presented.
最后根据流程图给出一种混合的故障预测算法。
A common problem in software fault prediction is presence of the noise in the data.
软件失效预测中的一个普遍问题是数据中噪声的存在。
Fault prediction is of great importance to ensuring weapon equipment safety and reliability.
故障预测是非常重要的，以确保武器装备安全性和可靠性。
Transformer fault diagnose and fault prediction are the basis of the transformer condition based maintenance.
变压器故障诊断和故障预测是保证其正常运行并进行状态维修的基础。
The neural network and the fault prediction technique with experts are combined to form a fault prediction system.
提出了把神经网络、预测理论和专家系统有机地结合起来建立故障预报系统的初步设想。
The precise prediction of important characteristic parameter is the important step in the course of fault prediction.
对关键特征参数的准确预报是实现故障预报的重要环节。
Finally, the difficult problems as well as the development trends of fault prediction methods for rotating machinery are discussed.
最后，探讨了旋转机械故障预测技术的难点问题以及发展趋势。
Automatic loader is one of subsystems that have higher failure rate, it is necessary to perform fault prediction research of automatic loader.
自动供输弹装置是火炮上故障发生率较高的子系统之一，因而有必要进行自动供输弹装置故障预测研究。
The LMBP neural network can predict nonlinear time series very well and the new method is effective for the fault prediction of nonlinear systems.
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。
To reduce the entire life cycle cost of weapon system and enhance their affordability, technology of fault prediction is studied for aeronautic equipment.
为解决武器装备全寿命周期费用高、经济可承受性差的难题，开展航空装备的故障预测技术研究。
This paper presents an adaptive fault prediction method based on strong tracking filter, which can predict faults in a class of nonlinear time varying systems.
本文提出了一种基于强跟踪滤波器的自适应故障预报方法，能够对一类带时变参数的非线性系统进行故障预报。
The main research in the article is the development of the automotive part of the remote monitoring and fault prediction system, which is known as on-board system.
文章主要研究的是远程监测与故障预测系统的车载部分的开发，称之为车载系统。
Moreover, the trend of machinery fault prediction is discussed. For precise and reliable machinery fault detection, it is essential to use multivariable forecasting modest...
最后讨论这一领域的发展趋势，指出多参数预测和组合预测在机械故障预报中的重要意义。
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.
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。
Secondly, based on the defined priority principle of Fault Prediction and using the Fault Prediction allowance value set got by weighted algorithm, a sequential graph of FP is designed.
然后在定义了故障预测的优先原则的基础上，利用专家系统加权算法得到的故障预测容许值集合，设计了故障预测的流程图；
In point of fault prediction, neural network based combination prediction is studied in the paper in which the best combining of traditional prediction methods is given by neural network.
本文从故障预报角度研究了神经网络组合预报模型，由神经网络给出常规预报方法的最佳组合。
Because of its complexity, the fault prediction and diagnosis system of large rotating unit would involve long period of development and mammoth hardware system by using the traditional method.
大型旋转机组故障预测系统由于系统复杂，采用传统的开发方式，开发周期长并且硬件系统庞大。
Based on improvement of fuzzy qualitative simulation algorithm, a new semi-quantitative and real-time fault prediction method of a class of dynamic system with incomplete information is proposed.
在对模糊定性仿真算法改进的基础上，提出了一类信息不完整动态系统的实时半定量故障预报方法。
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。
Combined with computer simulation, this method can be applied to steam turbine performance prediction, optimizing control as well as condition monitoring and fault diagnosis.
结合计算机仿真，可以实现系统的性能预测、控制优化、状态监测与故障诊断。
The first prediction model looks like the earthquake fault, those crusts in the earth cruse, define what is known as size M.
首先第一种模式看上去很像地震故障，在地球表面被撞击开来，为了发现地震的震级是多少。
Trend prediction is an important part in condition monitoring and fault diagnosis .
状态趋势预测是状态监测与故障诊断中的一个重要环节。
This paper mainly Outlines the new progress made in plate motion, lithostatic stress field, fault mechanics, active structure and long-term earthquake prediction.
文章主要对板块运动、岩石圈应力场、断层力学、活动构造、长期地震预测方面的新进展做了概略介绍。
The theory and algorithm of BP neural network were introduced, and it was used in the fault trend prediction for cutting part transmission system of mining machine.
介绍了BP网络的原理、算法，并用BP网络对采煤机截割部齿轮箱机械传动系统的故障进行了趋势预测。
The test results indicate that the fault diagnosis system designed with the virtual DCS-based simulation system realizes the real-time fault diagnosis and accident prediction of the power plant.
对诊断系统的调试结果表明：基于虚拟dcs的仿真系统设计的故障诊断系统实现了火电厂的实时故障诊断与事故预报。
A fault trend prediction problem for a class of exponential fault process is studied.
研究了一类带有指数故障过程的故障趋势预测问题。
In accordance with the features of fault occurrence in aluminum electrolysis production the fault diagnosis and prediction method by using recognition and parameter estimation theory is presented.
针对铝电解生产过程故障发生的特点，提出用辨识及参数估计理论进行故障诊断预报的方法。
By inversion of deformation data during earthquake for seismic fault parameters, a new kind of earthquake prediction means is proposed and some progresses have been achieved.
通过震时形变资料反演地震断层参数，在为探索地震预报新途径方面做了一些尝试。
The research can be generalized to any nonlinear dynamical system and gives a new approach for monitoring condition, fault diagnosis and prediction online.
该研究为非线性运动系统的在线监测、故障诊断和状态预测开辟了有效途径。
The research can be generalized to any nonlinear dynamical system and gives a new approach for monitoring condition, fault diagnosis and prediction online.
该研究为非线性运动系统的在线监测、故障诊断和状态预测开辟了有效途径。
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