Turbomachinery
Online ISSN : 1880-2338
Print ISSN : 0385-8839
ISSN-L : 0385-8839
Technical papers
A Study on Methods for the Early-Stage Detection of Abnormal Symptom and the Failure Diagnosis of Lubrication Systems by the Concentration and Size of Particles in Oil
(A Case Study of the Failure of Agricultural Drainage Pump Facilities)
Yasushi ABETAKosuke ITOTadashi KUNIEDA
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2019 Volume 47 Issue 2 Pages 91-100

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Abstract

The lubrication analysis is an effective method for the condition monitoring and diagnosis of power plants. The method is still in a trial stage in pumps for irrigation and drainage. The lubricating oil were sampled and analyzed annually from 2011 to 2014 from two gearboxes for drainage pumps in operation for 18 years. The viscosity was abnormally low and the particle number concentration in oil, CNp was high in 2012. The Fe concentration, CM(Fe), and the CNp of large particles increased significantly in 2013. A gear tooth failure was discovered in 2014, when a particle that is characteristic to fatigue wear was found in the oil.

For failure diagnosis, the criteria for CNp and CM(Fe) are necessary and the observation of wear particles is helpful. For the early-stage detection of abnormal symptom, it is useful to monitor the increase rate of CNp in each particle size range.

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© 2019 by Turbomachinery Society of Japan
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