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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。
In this paper, a new fault diagnosis method based on functional structure and its identification is proposed. In order to realize the sensor fault classification, the functional structure is first constructed between each model of the system (including the fault and normal model) and the set classification mark. Then the identification function of the adaptive fuzzy logic system is used to identify the constructed functional, The final use of single output to achieve classification. The simulation results verify the correctness and validity of the proposed method, and also show that the proposed method is robust to noise.