Abstract
The demands of Prognostics and Health Management (PHM) for the air cooling equipment are constantly growing in the industrial field. However, most studies on PHM of fans are still in the exploratory stage, the failure modes and working conditions are mostly single and ideal. It proposed a PHM method for the brushless DC fan. Firstly it makes an analysis on the failure mode of the air cooling equipment. Secondly, two kinds of the prognostic tests are made, including fault simulation test and accelerated life test. After that, a prognostics method based-on the combination of reliability and data-driven models are proposed. The test results show that the proposed prediction method has a strong practical value.
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