Keyword: Wear Prediction : Search

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Search name	Searched On	Run search
Keyword: Wear Prediction (1)	31 Mar 2025	Run
Keyword: Short Positions (1)	31 Mar 2025	Run
Keyword: Meixner Process (3)	31 Mar 2025	Run
Keyword: Isotope Tracers (2)	31 Mar 2025	Run
Keyword: Lesson Planning (1)	31 Mar 2025	Run

chapterNo Access
WEAR PREDICTION OF NBR IN CRUDE OIL BASED ON BP ARTIFICIAL NEURAL NETWORK
- J. Kang,
- S.J. Wang,
- H.M. Wang, and
- X.R. Lv
Energy and Mechanical Engineering03 Mar 2016
Preview Abstract
The wear behavior of rubber stator belongs to the typical non-linear problem, because it is affected by multiple factors. In the background of NBR tribology system, a wearing model has been configured in this article based on BP artificial neural, in which hexane, cyclohexane, toluene, and rubber wearing are considered as the input and output factors, respectively. The wear loss is predicted successfully in different kinds of crude oil, and the error is only 3.98% comparing with the experimental results.

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