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基于模糊熵与方向相似度的液体火箭发动机故障检测
引用本文:谢涛,张育林.基于模糊熵与方向相似度的液体火箭发动机故障检测[J].国防科技大学学报,1998,20(4):15-19.
作者姓名:谢涛  张育林
作者单位:国防科技大学航天技术系
摘    要:先定义系统的广义模糊熵及其计算公式,再给出滑动数据窗口中采样数据矢量方向分布中心的离散度定义及其与模糊熵之间的负指数解析关系,并基于离散度概念对自适应窗口滤波器进行了改进,提高了滤波器对噪声的敏感度以及故障检测算法对强干扰噪声环境的鲁棒性。同时,根据滑动数据窗口中二模糊聚类数据中心矢量方向相似度的变化来监示发动机系统故障的发展趋势。本文基于受强噪声环境干扰的实际试车数据并用自组织模糊聚类算法作为滑动数据窗口上的聚类算法进行了数字仿真试验。仿真结果表明:基于模糊熵的故障检测算法具有对强噪声环境的鲁棒性,是低信噪比环境下的一种客观的故障检测算法。

关 键 词:液体火箭发动机,故障检测,滑动数据窗口,模糊熵
收稿时间:1997/5/20 0:00:00

Fuzzy Entropy and Directional Similarity Based-Fault Detection and Its Applications to Liquid Rocket Engine
Xie Tao and Zhang Yulin.Fuzzy Entropy and Directional Similarity Based-Fault Detection and Its Applications to Liquid Rocket Engine[J].Journal of National University of Defense Technology,1998,20(4):15-19.
Authors:Xie Tao and Zhang Yulin
Affiliation:Department of Astronautical Technology, NUDT, Changsha, 410073;Department of Astronautical Technology, NUDT, Changsha, 410073
Abstract:This paper proposes a definition for the fuzzy entropy of clustered result , i. e. , the fuzziness measure of a fuzzy set, and based on this definition, the definition for a measure of the distribution divergence of the sampled data vectors is also given in this paper for the first time. The divergence definition offers an ideal and objective criterion about whether there exist heavily interfered data vectors in the sliding data window for the Adaptive Windowing Filter. Thus, the noise discrimination ability has been much improved, and this increases the robustness of the fault detection algorithm to the strong noises and the sensitivity to subtle fault transients. In addition, the directional similarity between the two clustered centroid vectors (corresponding to the sliding data window) has been employed to detect faults and distinguish the intermittent faults from the failure. The practical testing data with strong noises have been used to verify its efficiency and objectivity in the fault detection and discrimination from the noised data vectors.
Keywords:liquid rocket engine  fault detection  sliding data window  fuzzy entropy  
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