A modified quality loss model of service life prediction for products via wear regularity

Xintian Liu, Kui Mao, Xiaolan Wang, Xu Wang and Yansong Wang

Reliability Engineering and System Safety, 2020, vol. 204, issue C

Abstract: It is very important to consider the life change regularity of products during full life-cycle based on product geometric quality characteristics. The relationship between product quality loss and service life distribution is analyzed to estimate the average life of products during service time, and the range of concentrated distribution of product service life is determined. To estimate the quality loss of products more accurately, the viewpoint is put forward that the main quality characteristic values should obey the nonlinear change during service time. Then, the service quality loss function (QLF) is modified based on the wear regularity. The effect of different parameters on the average service life of products is discussed with practical case, such as design, production and service parameters. A new research method is proposed on the full life-cycle variation rule of mechanical products.

Keywords: Wear regularity; Service life; Quality loss model; Geometric tolerance (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0951832020306888
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:204:y:2020:i:c:s0951832020306888

DOI: 10.1016/j.ress.2020.107187

Access Statistics for this article

Reliability Engineering and System Safety is currently edited by Carlos Guedes Soares

More articles in Reliability Engineering and System Safety from Elsevier
Bibliographic data for series maintained by Catherine Liu ().