首页|Bayesian inference-based wear prediction method for plain bearings under stationary mixed-friction conditions

Bayesian inference-based wear prediction method for plain bearings under stationary mixed-friction conditions

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This study introduces a method to predict the remaining useful life(RUL)of plain bearings operating under stationary,wear-critical conditions.In this method,the transient wear data of a coupled elastohydrodynamic lubrication(mixed-EHL)and wear simulation approach is used to parametrize a statistical,linear degradation model.The method incorporates Bayesian inference to update the linear degradation model throughout the runtime and thereby consider the transient,system-dependent wear progression within the RUL prediction.A case study is used to show the suitability of the proposed method.The results show that the method can be applied to three distinct types of post-wearing-in behavior:wearing-in with subsequent hydrodynamic,stationary wear,and progressive wear operation.While hydrodynamic operation leads to an infinite lifetime,the method is successfully applied to predict RUL in cases with stationary and progressive wear.

plain bearingswear modelingremaining useful life predictionBayesian inference

Florian K?NIG、Florian WIRSING、Georg JACOBS、Rui HE、Zhigang TIAN、Ming J.ZUO

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Institute for Machine Elements and Systems Engineering,RWTH Aachen University,Aachen 52062,Germany

Department of Mechanical Engineering,University of Alberta,Edmonton T6G1H9,Canada

Qingdao International Academician Park Research Institute,Qingdao 266000,China

Federal Ministry of Education and Research(BMBF)Ministry of Culture and Science of the German State of North Rhine-Westphalia(MKW)under the Excellence Strategy of the Feder德意志研究联合会项目RWTH Aachen-University of Alberta Junior Research Fellowship

GRK 1856

2024

10.1007/s40544-023-0814-y

摩擦(英文)

摩擦(英文)

CSTPCDEI
ISSN：2223-7690
年,卷(期)：2024.12(6)
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