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传统的可靠性研究分析方式需要依靠大样本的数据以及概率统计,这在某种程度上加大了可靠性分析的难度。因此,目前普遍使用归一化的小波信息熵可靠性的评估,或者是基于损伤的定量识别可靠性分析,其中基于归一化的小波信息熵可靠性评估可以重构和分解设备运行中振动信号使用的二代小波,并获取各种分解频带的信号,精确计算相关分解频带中信号归一化的信息熵与相对能量,按照归一化的信息熵获得反映机械设备运转状态的可靠性指标,也就是可靠度。本文就归一化的小波信息熵可靠性的评估进行分析,探讨基于损伤的定量识别运行的可靠性,以期提高电气机械的设备运行可靠度。
The traditional methods of reliability research and analysis rely on large sample data and probability statistics, which increases the difficulty of reliability analysis to a certain extent. Therefore, it is widely used to evaluate the reliability of normalized wavelet information entropy or quantitative analysis based on damage reliability analysis. The reliability evaluation based on normalized wavelet information entropy can reconstruct and decompose the vibration signal Using the second generation of wavelet and obtaining signals of various decomposition frequency bands to accurately calculate the normalized information entropy and relative energy of signals in the relevant decomposition frequency band and obtaining the reliability index reflecting the operation state of the mechanical equipment according to the normalized information entropy, That is, reliability. In this paper, the reliability of normalized wavelet information entropy is analyzed, and the reliability of quantitative identification operation based on damage is discussed in order to improve the operation reliability of electrical machinery.