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Author:

Yang, Lijie (Yang, Lijie.) | Nie, Songlin (Nie, Songlin.) (Scholars:聂松林) | Zhang, Anqing (Zhang, Anqing.)

Indexed by:

EI Scopus SCIE

Abstract:

Water hydraulic piston motor is one of the important transmission components in a water hydraulic system. For lack of enough experimental information to analyze the reliability in water hydraulic motor design, the convex model is chosen as wear reliability model for hydraulic friction pairs, which is more economical and reasonable than the interval model. The non-probabilistic reliability index based on the convex model is established using first-order Taylor series expansion, and the non-probabilistic reliability model of wear reliability analysis for the friction pair of swash-plate/slipper in water hydraulic piston motor is introduced based on the convex model. For the non-probabilistic reliability model, only the bounds on uncertain parameters are needed, instead of probabilistic density distribution or statistical quantities. Numerical examples are used to illustrate the validity and feasibility of the presented method.

Keyword:

swash-plate/slipper pad Convex model non-probabilistic reliability index water hydraulic piston motor wear reliability analysis

Author Community:

  • [ 1 ] [Yang, Lijie]Beijing Univ Technol, Coll Mech Engn & Appl Elect Technol, Beijing 100124, Peoples R China
  • [ 2 ] [Nie, Songlin]Beijing Univ Technol, Coll Mech Engn & Appl Elect Technol, Beijing 100124, Peoples R China
  • [ 3 ] [Zhang, Anqing]Beijing Univ Technol, Coll Mech Engn & Appl Elect Technol, Beijing 100124, Peoples R China

Reprint Author's Address:

  • 聂松林

    [Nie, Songlin]Beijing Univ Technol, Coll Mech Engn & Appl Elect Technol, Beijing 100124, Peoples R China

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Source :

PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE

ISSN: 0954-4062

Year: 2013

Issue: C3

Volume: 227

Page: 609-619

2 . 0 0 0

JCR@2022

ESI Discipline: ENGINEERING;

JCR Journal Grade:3

CAS Journal Grade:4

Cited Count:

WoS CC Cited Count: 9

SCOPUS Cited Count: 16

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 3

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