摘要
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。
Reliability of traditional analytical methods need to rely on a large sample of data and probability and statistics,which increased the difficulty of reliability analysis in a way. Therefore, the current widespread use of assessment normalized wavelet entropy reliability, or the reliability of the analysis based on quantitative identification of injury, which can be reconstructed and decomposition equipment operation vibration signal based on the normalized wavelet entropy Reliability Assessment second generation wavelet use and access to a variety decomposed band signals accurately calculate correlation decomposition band signal normalized relative entropy and energy, according to a normalized entropy obtained reflect the reliability of machinery and equipment operating status indicators, that is reliability. In this paper, the normalized wavelet entropy assess the reliability of the analysis, to explore quantitative identification of damage based on the reliability of operation, in order to improve the reliability of electrical machinery and equipment operation.
出处
《自动化与仪器仪表》
2015年第12期83-85,共3页
Automation & Instrumentation
关键词
电器机械
诊断信息
设备运行可靠性
Electrical machinery
Diagnostics
Reliability of equipment operation
