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Sensors 2012, 12(10), 12964-12987; doi:10.3390/s121012964
Article

Operation Reliability Assessment for Cutting Tools by Applying a Proportional Covariate Model to Condition Monitoring Information

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Received: 25 July 2012; in revised form: 8 September 2012 / Accepted: 14 September 2012 / Published: 25 September 2012
(This article belongs to the Section Physical Sensors)
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Abstract: The reliability of cutting tools is critical to machining precision and production efficiency. The conventional statistic-based reliability assessment method aims at providing a general and overall estimation of reliability for a large population of identical units under given and fixed conditions. However, it has limited effectiveness in depicting the operational characteristics of a cutting tool. To overcome this limitation, this paper proposes an approach to assess the operation reliability of cutting tools. A proportional covariate model is introduced to construct the relationship between operation reliability and condition monitoring information. The wavelet packet transform and an improved distance evaluation technique are used to extract sensitive features from vibration signals, and a covariate function is constructed based on the proportional covariate model. Ultimately, the failure rate function of the cutting tool being assessed is calculated using the baseline covariate function obtained from a small sample of historical data. Experimental results and a comparative study show that the proposed method is effective for assessing the operation reliability of cutting tools.
Keywords: operation reliability assessment; condition monitoring information; distance evaluation technique; proportional covariate model; cutting tool operation reliability assessment; condition monitoring information; distance evaluation technique; proportional covariate model; cutting tool
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Cai, G.; Chen, X.; Li, B.; Chen, B.; He, Z. Operation Reliability Assessment for Cutting Tools by Applying a Proportional Covariate Model to Condition Monitoring Information. Sensors 2012, 12, 12964-12987.

AMA Style

Cai G, Chen X, Li B, Chen B, He Z. Operation Reliability Assessment for Cutting Tools by Applying a Proportional Covariate Model to Condition Monitoring Information. Sensors. 2012; 12(10):12964-12987.

Chicago/Turabian Style

Cai, Gaigai; Chen, Xuefeng; Li, Bing; Chen, Baojia; He, Zhengjia. 2012. "Operation Reliability Assessment for Cutting Tools by Applying a Proportional Covariate Model to Condition Monitoring Information." Sensors 12, no. 10: 12964-12987.


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