【摘要】 本文提出了一种基于泛函构造思想及其辨识的故障分类诊断新方法。为了实现传感器故障分类，首先在系统各模型（包括故障与正常模型）与设定分类标志之间进行泛函构造，然后利用自适应模糊逻辑系统的辨识功能，对构造好的泛函进行辨识，最终利用单输出实现分类功能。仿真实验证实了本文方法的正确性和有效性，同时还表明该方法对噪声有很强的抑制能力。更多还原

【Abstract】 A novel approach for the fault diagnosis and classification of sensors,based on the idea of functional building and identification is proposed. To classify the faults of sensors,we first form a function between each mode (including fault and normal one)of system and its symbol assigned,which are used to discern the types of sensor faults,and then identify the function by means of single-output adaptive fuzzy logic system realize the fault diagnosis and classification. The correctness and validity of the proposed approach is verified by simulation. Additionally,simulation results show that this method is robust to noise.更多还原