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。
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。
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。
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。
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。
Based on the idea of system recognition, a new approach for analog circuit fault diagnosis is developed in this paper.
本文基于系统辨识的思想，对模拟电路故障诊断提出了一种新的方法。
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 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。
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