Remaining useful life prediction based on the Wiener process for an aviation axial piston pump

Wang, Xingjian; Lin, Song; Wang, Shaoping; He, Zhaomin; Zhang, Chao

doi:10.1016/j.cja.2015.12.020

Cited by 88 publications

(55 citation statements)

References 26 publications

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“…In order to update the parameters, the estimated parameters u a and e 2 a can be regarded as redundant parameters. Due to integrating the posterior distribution of the integral, the excess parameters are removed as shown in equation (14) p(u a jDZ 11k )}…”

Section: Degradation Model Of Led Driving Power Based On Wiener Processmentioning

confidence: 99%

“…11,12 The degradation model based on Wiener process has obvious advantages in mathematics. 13 Now, Wiener process has been widely applied in many research fields [14][15][16][17] including the degradation process because of its excellent capability of analyzing and describing the process of degradation. 18,19 Zhu et al 20 proposed a reliability assessment method that fused both prior and on-site degradation data.…”

Section: Introductionmentioning

confidence: 99%

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A Wiener process–based remaining life prediction method for light-emitting diode driving power in rail vehicle carriage

Gao

Yin

Zhang

et al. 2019

Advances in Mechanical Engineering

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Remaining life prediction is an effective way to optimize maintenance strategy and improve service life for light-emitting diode driving power in rail vehicle carriage. In this article, a Wiener process-based remaining life prediction method is proposed with the analysis of performance degradation data of light-emitting diode driving power in rail vehicle carriage. First, the temperature and humidity stress accelerated degradation tests are put forward in order to measure the output current of light-emitting diode driving power. Based on the output current, the accelerated degradation model is established. The drift and diffusion coefficients of the Wiener process are then obtained without prior information. Finally, the reliability of light-emitting diode driving power in rail vehicle carriage is assessed and the remaining lifetime is predicted after updating the degradation model parameters with Bayesian inference. The results show that the proposed method can improve the precision of assessment and reduce the uncertainty of prediction significantly. It also provides a potential solution for life prediction of other similar products.

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Section: Degradation Model Of Led Driving Power Based On Wiener Processmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Wiener process–based remaining life prediction method for light-emitting diode driving power in rail vehicle carriage

Gao

Yin

Zhang

et al. 2019

Advances in Mechanical Engineering

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“…Rodríguez‐Picón et al proposed a degradation model based on the Gamma process and considered that the random effects affect only the rate or the volatility of the process . Wang et al developed a performance degradation model based on the Wiener process to predict the remaining useful life (RUL) of a pump . Liao and Elsayed extended an accelerated degradation testing (ADT) model to predict the field reliability of a product by considering stress variations in the field .…”

Section: Introductionmentioning

confidence: 99%

“…13 Wang et al developed a performance degradation model based on the Wiener process to predict the remaining useful life (RUL) of a pump. 14 Liao and Elsayed extended an accelerated degradation testing (ADT) model to predict the field reliability of a product by considering stress variations in the field. 15 Li et al addressed an adaptive-order particle filter approach to RUL prediction for a pump.…”

Section: Introductionmentioning

confidence: 99%

Engineering‐driven performance degradation analysis of hydraulic piston pump based on the inverse Gaussian process

Wang

Liao

et al. 2019

Quality & Reliability Eng

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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.

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“…The role of these factors (discharge and suction pressure, temperature and purity of the working fluid, etc.) has not been sufficiently studied, or results have outdated and don't have an experimental basis (Kovalev, 2009;X. Wang, Lin, S. Wang, He, & Zhang, 2016;Hong & Doh, 2004).…”

Section: Introductionmentioning

confidence: 99%

The Influence of Contaminated Hydraulic Fluid on the Relative Volume Flow Rate and the Wear of Rubbing Parts of the Aviation Plunger Pump

Brazhenko

2019

Aviation

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Still, there is the problem of the plunger pumps failures due to pollution of the working fluid with mechanical impurities in civil aviation. The article deals with experimental research the change of relative volume flow rate of plunger pump model NP-72M which depends on the working fluid purity. In particular, the negative effect of increasing the particle size of impurities (electrocorundum about 3 μm, 10 μm, 20 μm) and increasing particles concentration (about 25-150 mg/L) with the constant particle size on pump operation has presented. This has manifested in increased wear of rubbing parts and reduced the relative volume flow rate. A visual inspection of the pump parts has carried out, and the most damaged areas have identified.

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Remaining useful life prediction based on the Wiener process for an aviation axial piston pump

Cited by 88 publications

References 26 publications

A Wiener process–based remaining life prediction method for light-emitting diode driving power in rail vehicle carriage

A Wiener process–based remaining life prediction method for light-emitting diode driving power in rail vehicle carriage

Engineering‐driven performance degradation analysis of hydraulic piston pump based on the inverse Gaussian process

The Influence of Contaminated Hydraulic Fluid on the Relative Volume Flow Rate and the Wear of Rubbing Parts of the Aviation Plunger Pump

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