Health index extracting methodology for degradation modelling and prognosis of mechanical transmissions
Health index extracting methodology for degradation modelling and prognosis of mechanical transmissions
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用于机械传动退化建模和预测的健康指数提取方法
DOI：
10.17531/ein.2019.1.15
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发表时间：
2018-12
影响因子：
2.5
通讯作者：
Zheng Changsong
中科院分区：
文献类型：
--
作者：
Yan Shufa;Ma Biao;Zheng Changsong
摩擦联轴器严重磨损引起的失效是机械变速器的主要失效模式，对车辆可靠性产生不利影响，甚至可能造成灾难性后果。因此，应定期监测机械传动装置的磨损情况，避免可能发生的非计划维护，并及时进行主动维护，以延长传动装置处于健康状态的时间。目前，机械传动的状态监测（CM）和预测，利用CM数据评估摩擦联轴器磨损失效前的剩余寿命，为状态维护提供重要基础，引起了广泛的研究关注，并在工业界发挥着关键作用[3,7]。在机器运行期间测量的 CM 数据（例如振动、温度和油液分析数据）可以表征潜在退化和故障过程的严重性，通常被视为退化数据。一个典型的假设是，当退化数据超过从业者通常规定的阈值时，机器就会发生故障[14,19]。因此，通过将退化数据与预定故障阈值进行比较，可以确定机器的退化程度和剩余寿命。结合剩余寿命评估，状态检修疏发严飚马长松郑
Failure caused by severe wear of friction couplings, which is the primary failure mode of mechanical transmissions, has an adverse influence on vehicle reliability that may have catastrophic consequences. Therefore, the wear in a mechanical transmission should be monitored regularly to avoid possible unscheduled maintenance, and proactive maintenance should be implemented in a timely manner to extend the period during which the transmission is in a healthy state. Currently, the condition monitoring (CM) and prognostics of a mechanical transmission, which uses CM data to evaluate the residual life before wear failure of friction couplings and provides a vital foundation for condition-based maintenance, has attracted considerable attention in research and plays a key role in industries [3,7]. CM data (e.g., vibration, temperature and oil analysis data) that are measured during machine operation, which can characterize the severity of underlying degradation and failure processes, are typically regarded as degradation data. A typical assumption is that the machine failure will occur when the degradation data cross a threshold that is usually prescribed by practitioners [14,19]. Therefore, the degree of degradation and the residual life of a machine can be determined by comparing the degradation data with the predetermined failure threshold. With the residual life evaluated, condition-based maintenance Shufa YAn Biao MA Changsong Zheng
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影响因子：
--
作者：
SHANNON, CE
通讯作者：
SHANNON, CE
DOI：
10.1109/icinfa.2010.5512075
发表时间：
2010-06
期刊：
The 2010 IEEE International Conference on Information and Automation
影响因子：
--
作者：
Ying-feng Zhang;B. Ma;Jin-song Zhao;Hailing Zhang
通讯作者：
Ying-feng Zhang;B. Ma;Jin-song Zhao;Hailing Zhang
影响因子：
2.3
作者：
Jianing Man;Qiang Zhou
通讯作者：
Jianing Man;Qiang Zhou
影响因子：
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作者：
SHANNON, CE
通讯作者：
SHANNON, CE
DOI：
10.1109/tase.2013.2250282
发表时间：
2013-07-01
影响因子：
5.6
作者：
Liu, Kaibo;Gebraeel, Nagi Z.;Shi, Jianjun
通讯作者：
Shi, Jianjun