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Operational Reliability Assessment of Compressor Gearboxes with Normalized Lifting Wavelet Entropy from Condition Monitoring Information

机译：基于状态监测信息的归一化提升小波熵的压缩机齿轮箱运行可靠性评估

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Classical reliability assessment methods have predominantly focused on probability and statistical theories, which are insufficient in assessing the operational reliability of individual mechanical equipment with time-varying characteristics. A new approach to assess machinery operational reliability with normalized lifting wavelet entropy from condition monitoring information is proposed, which is different from classical reliability assessment methods depending on probability and statistics analysis. The machinery vibration signals with time-varying operational characteristics are firstly decomposed and reconstructed by means of a lifting wavelet package transform. The relative energy of every reconstructed signal is computed as an energy percentage of the reconstructed signal in the whole signal energy. Moreover, a normalized lifting wavelet entropy is defined by the relative energy to reveal the machinery operational uncertainty. Finally, operational reliability degree is defined by the quantitative value obtained by the normalized lifting wavelet entropy belonging to the range of [0, 1]. The proposed method is applied in the operational reliability assessment of the gearbox in an oxy-generator compressor to validate the effectiveness.
机译：经典的可靠性评估方法主要集中在概率论和统计理论上，这在评估具有时变特征的单个机械设备的运行可靠性方面是不够的。提出了一种利用状态监测信息通过归一化提升小波熵评估机械运行可靠性的新方法，该方法不同于经典的基于概率和统计分析的可靠性评估方法。首先利用提升小波包变换对具有时变工作特性的机械振动信号进行分解和重构。将每个重构信号的相对能量计算为重构信号在整个信号能量中的能量百分比。此外，归一化的提升小波熵由相对能量定义，以揭示机械运行的不确定性。最后，通过由属于[0，1]的范围的归一化提升小波熵获得的定量值来定义操作可靠性度。将所提出的方法应用于氧气发生器压缩机齿轮箱的运行可靠性评估中，以验证其有效性。

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