该文方法为动态电能质量扰动的检测、识别与分类提供了新的思路。
The new method gives a entirely new way for detection, identification and classification of dynamic power quality disturbances.
提出将气体传感器阵列动态检测与人工神经网络相结合的方法实现气体的识别。
The method of gas recognition that can combine gas sensor array dynamic detection with artificial neural network is presented.
给出了基于全解耦奇偶方程的动态系统执行器故障的检测与识别方法。
A fault detection and identification method of actuators in dynamic systems based on fully - decoupled parity equations is presented in this paper.
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