Residual life prediction for highly reliable products with prior accelerated degradation data

Wang, Hao-Wei; Ke-nan, Teng

doi:10.17531/ein.2016.3.9

Cited by 5 publications

(5 citation statements)

References 31 publications

(30 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…an unnamed ratio of dangerous value to limit value. Most usually, a safety factor takes into account the potential inadequacy of the test schedule relative to actual operating conditions in the course of operation [2], the availability of wear location for verification [19], the nature of developing destruction and its rate [14], the degree of credibility of determining loads for a given unit [24] and the population of a test bench studied sample [2]. Agamirov and Reicher assumed the value of the coefficient taking into account the possible inadequacy of the test program to the actual working conditions of the team equal 1.0 [2], and Ignatowicz with the team equal 1.5 [14].…”

Section: Abstract: Aviation Lifetime Hydraulic Drive Hydraulic Pump T...mentioning

confidence: 99%

“…Taking into account the sample size, in the case of one sample tested at the stand, the value of the factor of 5 was adopted, and for six samples the value of 3 [2]. Generally, the value of the safety factor is taken from 1 to 5 [14,24]. Based on the results of wear tests and taking into account safety factors, normative durability is determined [1,26].…”

Section: Abstract: Aviation Lifetime Hydraulic Drive Hydraulic Pump T...mentioning

confidence: 99%

“…Agamirov and Vestyak and Blancke with the team showed that hydraulic drives have a strong correlation between parameters determining their condition and time of use [1,7]. Therefore, one can predict the moment of change in the technical condition of the hydraulic drive assembly, provided that this condition is periodically checked [1,24]. Using this property, the authors of this article proposed a priori-predictive method of estimating durability.…”

Section: Abstract: Aviation Lifetime Hydraulic Drive Hydraulic Pump T...mentioning

confidence: 99%

“…Estimating the life of aviation hydraulic drive is a broad forecasting issue at the engineering stage of their operational behaviours, as well as forecasting the change of their technical state throughout the operation stage. The experience from the operation of aircraft hydraulic propulsion in aircraft indicates that after using the normative durability established by the manufacturer, most hydraulic assemblies still have some work resource that can be used [21,24]. This may indicate that at the design stage of hydraulic units, their operating conditions were incorrectly identified and inadequate redundancy was imposed when estimating their durability [21].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Method for estimating the durability of aviation hydraulic drives

Ułanowicz¹,

Jastrzębski²,

Szczepaniak³

2020

Eksploatacja i Niezawodność – Maintenance and Reliability

View full text Add to dashboard Cite

Throughout previous practice, estimating the life of aviation hydraulic drive assemblies has been utilizing a variant, which requires conducting long-lasting studies of the drive assemblies until they move to the unfitness state. Such studies, which enable estimating life a posteriori, are costly and long-lasting. Hence the need to look for new strategies for estimating life. The article presents a method of estimating the durability of a hydraulic drive assembly based on the control of its change in technical condition. Inspection of the technical condition enables timely detection of the condition before the emergency hydraulic assembly. The novelty of the method is to use, to detect the condition before the emergency team, the principle of determining the pre-emptive control parameter tolerance. Pre-emptive tolerances are a set of control parameter values between threshold levels and pre-emergency (allowable) levels. The intensity of depletion of durability (intensity of aging, wear) is random. The paper presents a stochastic description of the control parameter change and the resulting empirical relationships between the control parameter verification time probability density (verification periodicity) and the control parameter value change probability density. The inter-relations between these two functions were described. It also presents empirical relationships enabling the determination of the permissible value for the control parameters and the periodicity of the control parameter checks after exceeding the limit value. An example of estimating the life of a hydraulic piston pump on-board an aircraft operated in the Polish Air Forces was shown. The permissible values and the time for the first control parameter verification after exceeding the limit value were determined for selected control parameters of the hydraulic pump. The proposed method binds life (fitness time) with the physical wear mechanisms concerning the assemblies. It can be applied in work aimed at determining the resource life of technical equipment. Furthermore, it enables utilizing technical equipment according to a technical state strategy with monitoring the parameters.

show abstract

Section: Abstract: Aviation Lifetime Hydraulic Drive Hydraulic Pump T...mentioning

confidence: 99%

Section: Abstract: Aviation Lifetime Hydraulic Drive Hydraulic Pump T...mentioning

confidence: 99%

Section: Abstract: Aviation Lifetime Hydraulic Drive Hydraulic Pump T...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Method for estimating the durability of aviation hydraulic drives

Ułanowicz¹,

Jastrzębski²,

Szczepaniak³

2020

Eksploatacja i Niezawodność – Maintenance and Reliability

View full text Add to dashboard Cite

show abstract

“…Original information about the equipment manufacturers is used as prior information for the degradation analysis of information from the monitoring of the conditions. Wang et al [34] used accelerated degradation data as prior information. The prior distribution types of random parameters are determined by Anderson-Darling statistic.…”

Section: Introductionmentioning

confidence: 99%

Bivariate-Dependent Reliability Estimation Model Based on Inverse Gaussian Processes and Copulas Fusing Multisource Information

et al. 2022

View full text Add to dashboard Cite

Reliability estimation for key components of a mechanical system is of great importance in prognosis and health management in aviation industry. Both degradation data and failure time data contain abundant reliability information from different sources. Considering multiple variable-dependent degradation performance indicators for mechanical components is also an effective approach to improve the accuracy of reliability estimation. This study develops a bivariate-dependent reliability estimation model based on inverse Gaussian process and copulas fusing degradation data and failure time data within one computation framework. The inverse Gaussian process model is used to describe the degradation process of each performance indicator. Copula functions are used to capture the dependent relationship between the two performance indicators. In order to improve the reliability estimation accuracy, both degradation data and failure time data are used simultaneously to estimate the unknown parameters in the degradation model based on the likelihood function transformed using the zeros-ones trick. A simulation study and a real application in the reliability estimation of mechanical seal used in airborne hydraulic pump are conducted to validate the effectiveness and accuracy of the proposed model compared with existing reliability models.

show abstract