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Appl. Sci. 2018, 8(9), 1619; https://doi.org/10.3390/app8091619

Research on Reliability Assessment of Mechanical Equipment Based on the Performance–Feature Model

1
School of Reliability and Systems Engineering, Beihang University, Beijing 100191, China
2
School of Mechanical Engineering and Automation, Beihang University, Beijing 100191, China
*
Author to whom correspondence should be addressed.
Received: 9 July 2018 / Revised: 28 August 2018 / Accepted: 4 September 2018 / Published: 12 September 2018
(This article belongs to the Section Mechanical Engineering)
Full-Text   |   PDF [1614 KB, uploaded 12 September 2018]   |  

Abstract

There is a growing body of literature which recognizes the importance of mechanical equipment reliability during processing, and reliability assessment is important in guaranteeing the precision, function, and use life span of mechanical equipment. For products with a long lifetime and high reliability, it is difficult to assess lifetime and reliability using traditional statistical inference based on a large sample of data from the lifetime test. Therefore, this study contributed to this growing area of research, through a reliability evaluation method based on degradation path distribution related to signal characteristics. In this research, an effective method for reliability assessment was constructed, in which the signal features of the machining process were used to replace traditional time data and fit equipment degradation model. The pseudo failure characteristic (PFC) was obtained according to the failure threshold and the reliability curve was plotted by a PFC distribution model. Experimental investigation on tool reliability assessment was used to verify the effectiveness of this method, in which the trend that tool wear changes with the features was fitted by a Gaussian distribution function and Logarithmic distribution function, to obtain a better tool degradation model. The results illustrated the model could evaluate reliability of mechanical equipment effectively. View Full-Text
Keywords: performance degradation; degradation path; reliability assessment performance degradation; degradation path; reliability assessment
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Dai, W.; Chi, Y.; Lu, Z.; Wang, M.; Zhao, Y. Research on Reliability Assessment of Mechanical Equipment Based on the Performance–Feature Model. Appl. Sci. 2018, 8, 1619.

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