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首页> 外文期刊>Mechanical systems and signal processing >Gearbox fault diagnosis using adaptive redundant Lifting Scheme
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Gearbox fault diagnosis using adaptive redundant Lifting Scheme

机译：基于自适应冗余提升方案的变速箱故障诊断

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摘要

Vibration signals acquired from a gearbox usually are complex, and it is difficult to detect the symptoms of an inherent fault in a gearbox. In this paper, an adaptive redundant lifting scheme for the fault diagnosis of gearboxes is developed. It adopts data-based optimisation algorithm to lock on to the dominant structure of the signal, and well reveal the transient components of the vibration signal in time domain. Both lifting scheme and adaptive redundant lifting scheme are applied to analyse the experimental signal from a gearbox with wear fault and the practical vibration signal from a large air compressor. The results confirm that adaptive redundant lifting scheme is quite effective in extracting impulse and modulation feature components from the complex background.
机译：从变速箱获取的振动信号通常很复杂，并且很难检测到变速箱内在故障的症状。本文提出了一种用于齿轮箱故障诊断的自适应冗余提升方案。它采用基于数据的优化算法来锁定信号的主导结构，并很好地揭示时域振动信号的瞬态分量。提升方案和自适应冗余提升方案都可用于分析带有磨损故障的变速箱的实验信号和大型空气压缩机的实际振动信号。结果证实，自适应冗余提升方案在从复杂背景中提取脉冲和调制特征分量方面非常有效。

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