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Bearing Fault Prediction System Design Based on SPC

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Abstract

According to the requirement of failure prediction and maintenance of high-precision machine tool spindle bearings, this article has designed a bearing fault prediction system using LabVIEW and database connection based on SPC theory. We collect the data of machined workpiece which are analyzed and processed based on SPC theory. And we set up a mathematical model so as to ensure the detection parameters and alarm thresholds. The system predicts the state of bearings through workpiece data. When the detection parameters exceed the threshold, the indicator will be triggered to alarm. The system has achieved the purpose of prediction.

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Authors and Affiliations

  1. Shanghai University of Engineering Science - Automotive Engineering Institute, Shanghai, China

    Wu Guoqing, Luo Yiping & Wei Dan

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  1. Wu Guoqing
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  2. Luo Yiping
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  3. Wei Dan
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Correspondence to Wu Guoqing.

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Guoqing, W., Yiping, L. & Dan, W. Bearing Fault Prediction System Design Based on SPC. J Fail. Anal. and Preven. 16, 129–134 (2016). https://doi.org/10.1007/s11668-015-0056-z

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  • DOI: https://doi.org/10.1007/s11668-015-0056-z

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