Abstract
As a key aircraft component, hydraulic piston pumps must be developed with high reliability. However, collecting failure time data of such pumps for reliability analysis is a big challenge. To save testing time, performance degradation data obtained from degradation tests can be used for quick reliability estimation of hydraulic piston pumps. This paper proposes an engineering-driven performance degradation analysis method considering the nature of mechanical wear of hydraulic piston pumps. First, the failure mechanism of a type of hydraulic piston pump is investigated. By taking into account the close relationship between the degradation rate and the failure mechanism, an inverse Gaussian (IG) process model with a variable rate is developed to describe the degradation behavior of the pump. Under this model, a Bayesian statistical method is developed for degradation data analysis. The corresponding procedure for model parameter estimation and reliability evaluation is also presented. The proposed degradation analysis method is illustrated using a real experimental data. The results show that the engineering-driven approach is quite effective in evaluating the lifetime of the hydraulic piston pump and will improve the overall reliability of aircraft operation in the field.
Original language | English (US) |
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Pages (from-to) | 2278-2296 |
Number of pages | 19 |
Journal | Quality and Reliability Engineering International |
Volume | 35 |
Issue number | 7 |
DOIs | |
State | Published - Nov 1 2019 |
Keywords
- Inverse Gaussian (IG) process
- hydraulic piston pump
- performance degradation
- reliability evaluation
ASJC Scopus subject areas
- Safety, Risk, Reliability and Quality
- Management Science and Operations Research