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Selective Spectral Fusion-based Mechanical Transmission System Intelligent Fault Localization under Dynamic Environment
编号：39 访问权限：仅限参会人 更新：2026-09-18 14:06:37 浏览：3次 口头报告

报告开始：暂无开始时间（Asia/Shanghai）

报告时间：暂无持续时间

所在会场：[暂无会议] [暂无会议段]

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摘要
Mechanical transmission systems are widely used in critical industrial equipment, and their reliable operation depends on accurate and efficient fault localization. Existing methods commonly establish independent diagnostic models using local measurement points, overlooking the propagation of fault signatures across components in complex structures. This leads to discrepancies between local observations and actual fault locations, resulting in structural misdiagnosis. Global modeling can alleviate this problem by exploiting information from multiple measurement points. To this end, this paper proposes a system-level fault localization method based on selective spectral fusion. By exploring complementary information across measurement points and selectively enhancing fault-related spectral features, the proposed method enables reliable fault localization under dynamic environments. Experimental results verify the existence of structural misdiagnosis in the local single-point diagnosis paradigm and demonstrate that the proposed method effectively improves fault localization accuracy in mechanical transmission systems.
 
关键词
fault localization,mechanical transmission system,dynamic environment,data fusion
报告人
Chao Zhao
Prof. Northeastern University

稿件作者
Haoyu He Northeastern University
Chao Zhao Northeastern University
Weiming Shen Fuyao University of Science and Technology
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重要日期

  • 会议日期

    11月06日

    2026

    至

    11月08日

    2026

  • 10月15日 2026

    初稿截稿日期

主办单位
IEEE Instrumentation and Measurement Society
承办单位
Sichuan University
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