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Author:

Liu, Qian (Liu, Qian.) | Nie, Songlin (Nie, Songlin.) (Scholars:聂松林) | Hu, Zhiwei (Hu, Zhiwei.) | Ruan, Jun (Ruan, Jun.)

Indexed by:

CPCI-S

Abstract:

Traditional reliability model based on probability has been applied widely, but it requires overmuch and precise data to describe the probabilistic distribution of the parameter. In practice, there is often not enough data to define the probability model precisely, especially for the design of water hydraulic pump. Considering that the design parameter Could be identified as intervals in water hydraulic pump, a non-probabilistic reliability model based on interval parameter is introduced focusing on the fatigue strength of piston and valve plate. A new method of probabilistic measurement based on interval index has been proposed, and accordingly the ratio between the mean value of function and the interval width is defined as the reliability index to obtain the reliability degree of the hydraulic component. The developed non-probabilistic reliability model is applied to a design case of water hydraulic piston pump, and the reliability analysis is conducted. The research results exhibited the high reliability of the water hydraulic piston pump. The developed non-probabilistic reliability model could mitigate the difficulty of obtaining the design data and decrease computation effort effectively.

Keyword:

Interval parameter analysis Reliability Water hydraulic pump Non-probabilistic model

Author Community:

  • [ 1 ] [Liu, Qian]Beijing Univ Technol, Coll Mech Engn & Appl Elect Technol, Beijing 100022, Peoples R China
  • [ 2 ] [Nie, Songlin]Beijing Univ Technol, Coll Mech Engn & Appl Elect Technol, Beijing 100022, Peoples R China

Reprint Author's Address:

  • [Liu, Qian]Beijing Univ Technol, Coll Mech Engn & Appl Elect Technol, Beijing 100022, Peoples R China

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Source :

PROCEEDINGS OF THE SEVENTH INTERNATIONAL CONFERENCE ON FLUID POWER TRANSMISSION AND CONTROL

Year: 2009

Page: 490-493

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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