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兵工学报 ›› 2024, Vol. 45 ›› Issue (3): 997-1009.doi: 10.12382/bgxb.2022.0693

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基于DTW时序距离的故障可诊断性评估方法

吕佳朋, 史贤俊*(), 肖支才   

  1. 海军航空大学, 山东 烟台 264001
  • 收稿日期:2022-08-02 上线日期:2022-12-12
  • 通讯作者:
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  • 基金资助:
    国家自然科学基金青年科学基金项目(61903374)

Diagnosability Evaluation Method Based on DTW Temporal Distance

LÜ Jiapeng, SHI Xianjun*(), XIAO Zhicai   

  1. Naval Aviation University, Yantai 264001, Shandong, China
  • Received:2022-08-02 Online:2022-12-12

摘要:

对装备中具体故障进行可诊断性评估,可以量化地表明故障被诊断的难易程度。针对故障可诊断性评价方法中存在的不客观及度量方法选择不恰当的问题,提出一种基于动态时间规整(Dynamic Time Warping,DTW)的时序距离度量方法。定义可诊断性评估模型,从实际系统中抽取系统的结构、信号、测试、故障模式4种要素,为故障可诊断性评估工作的开展打下基础。摒弃传统的从信号中提取特征进行相似性度量的做法,将信号看做时序序列,基于DTW方法衡量不同状态下各信号之间的相似程度,作为故障可诊断性的评估依据。使用动量轮系统对新方法进行仿真实验,仿真结果表明新方法在进行可诊断性评估方面具有客观性和有效性。

关键词: 故障可诊断性, 定量评价, 动态时间规整, 相似性度量, 时间序列

Abstract:

The fault diagnosability evaluation can quantify the difficulty of diagnosing faults. A temporal distance measurement method based on dynamic time warping (DTW) is proposed to solve the problems of unobjectivity and inappropriate selection of measurement methods in the fault diagnosability evaluation methods. A diagnosability evaluation model is defined, and four elements of system structure, signal, test and failure mode can be extracted from an actual system, which lays the foundation for the subsequent diagnosability evaluation work. The traditional method of extracting the features from signals for similarity measure is abandoned, and the signals are regarded as time series. Based on the DTW method, the degree of similarity between signals in different states is measured as the evaluation basis for fault diagnosability. Momentum wheel system is used to simulate the proposed method. The experimental results show that the proposed method is objective and effective in diagnostic evaluation.

Key words: fault diagnosability, quantitative evaluation, dynamic time warping, similarity measure, time series

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