报告详情
LEASGgram: an adaptive detection method of locomotive bearing repetitive transient impulses with automatic frequency band segmentation
编号：53
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更新：2025-06-15 10:55:04 浏览：37次
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摘要
Repetitive transient impulses detection methods are often hindered under the severe operating conditions of locomotive real-world engineering applications. One of the primary challenges in existing approaches is the use of fixed spectral segmentation strategies, which fail to account for the unique characteristics of the spectrum, often leading to the loss of critical fault signatures. Additionally, current state-of-the-art indicators are highly sensitive to strong background noise and depend heavily on prior knowledge of fault-related frequencies. To address these limitations, this paper proposes a novel fault detection method called LEASGgram, specifically designed to identify repetitive transient impulses under severe disturbance conditions. The method introduces an adaptive frequency band segmentation technique based on multi-scale spectral analysis, enabling automatic partitioning of the frequency domain according to its intrinsic distribution features. Furthermore, a new evaluation index is developed from the perspective of the log envelope autocorrelation spectrum, which effectively captures both the sparsity and cyclostationarity properties of the signal. This allows for accurate localization of the resonance bands excited by repetitive fault-induced transients. Compared with conventional signal processing techniques, the proposed LEASGgram demonstrates superior performance in extracting informative frequency bands with enhanced fault relevance and reduced noise interference, even under harsh operational conditions.
关键词
Fault detection, Frequency band segmentation, Strong interference, Transient impulses.
报告人
Binghuan Cai
Mr. Beijing University of Chemical Technology稿件作者
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重要日期
-
会议日期
08月01日
2025
至08月04日
2025
-
06月23日 2025
初稿截稿日期
主办单位
中国机械工程学会设备智能运维分会
承办单位
新疆大学
联系方式
- Mrs. Yanruqiang
- ya******@xjtu.edu.cn
历届会议
-
2025年08月01日 中国 wulumuqi
2025 International Conference on Equipment Intelligent Operation and Maintenance -
2023年09月21日 中国 Hefei
第一届（国际）设备智能运维大会
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