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Reliability Assessment of Machine Tools Using Failure Mode Analysis Programs  

Kim Bong-Suk (아주대학교 대학원 기계공학과)
Lee Soo-Hun (아주대학교 기계공학부)
Song Jun-Yeob (한국기계연구원 지능형정밀기계연구부)
Lee Seung-Woo (한국기계연구원 지능형정밀기계연구부)
Publication Information
Transactions of the Korean Society of Machine Tool Engineers / v.14, no.1, 2005 , pp. 15-23 More about this Journal
Abstract
For reliability assessment for machine tools, failure mode analyses by two viewpoints were studied in this paper. First, this study developed the reliability data analysis program, which searches f3r optimal failure distribution like failure rate or MTBF(Mean Time Between Failure) using failure data and reliability test data of mechanical parts in the web. Moreover, this data analysis program saves both failure data or reliability data and their failure rate or MTBF for database establishment. Second, this paper conducted failure mode analysis through such performance tests as circular movement test and vibration testing for machine tools when reliability data is not available. A developed web-based analysis program shows correlations between failure mode and performance test result and also accumulates all the data. These kinds of data analysis programs and stored data furnish valuable information for improving the reliability of mechanical system.
Keywords
Machine tool; Failure mode; Reliability; Probability distribution; Circular movement test; Vibration;
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