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Chinese Journal of Engineering Design  2006, Vol. 13 Issue (6): 451-458    DOI:
    
New method to establish oil monitoringdiagnosis criteria
 CAO  Yi-Bo1, XIE  Xiao-Peng2
1. College of Mechanical Engineering, South China University of Technology, Guangzhou 510640, China;
2. College of Automobile Engineering, South China University of Technology, Guangzhou 510640, China
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Abstract  Aiming at the situation that there are only a few sample data in equipment wearing fault and so faults are difficult to diagnose, oil monitoring diagnosis criteria based on the maximum entropy principle are put forward. Firstly, maximum entropy principle is used to analyze the oil monitoring data. Then, the most unbiased probability distribution of oil monitoring data is obtained, and the unbiased arithmetic mean and variance of the monitoring data can be gained. With the three-line values method, three abrasion status distinguishing criteria, namely normal-line values, warning-line values and danger-line values, are acquired. Finally, the above method has been applied to analyze the actual oil monitoring data (ferrographic analytical data) of fan facilities in a landification enterprise and comparison with the actual overhaul result shows the method is effective.

Key wordsoil diagnosis      maximum entropy principle      three-line values method      diagnosis criteria     
Published: 28 May 2006
Cite this article:

CAO Yi-Bo, XIE Xiao-Peng. New method to establish oil monitoringdiagnosis criteria. Chinese Journal of Engineering Design, 2006, 13(6): 451-458.

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https://www.zjujournals.com/gcsjxb/     OR     https://www.zjujournals.com/gcsjxb/Y2006/V13/I6/451


一种新的建立磨损状态判别标准的方法

针对机器设备磨损故障中由于采样数据样本较少,从而故障不易诊断的情况,提出了一种基于极大熵原理的磨损状态判别标准的方法。首先利用信息论中的极大熵原理对机器设备的油液分析数据进行处理,得到油样监测数据的最优无偏估计。利用油样监测数据的无偏估计得到它的算术均值和方差,然后结合三线值法得到基于极大熵原理的磨损状态判别标准(正常值、警告值、危险值)。最后以某石化企业厂鼓风机的监测为例,分析油样铁谱数据,建立故障状态判别标准,得到初步的判别结果,并与实际的大修结果进行比较,发现所建立的方法是有效的。

关键词:  ,  铁谱分析,  极大熵原理,  三线值分析法,  判别标准 
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