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Reliability assessment of transformer insulating oil using accelerated life testing [PDF]

open access: yesScientific Reports, 2022
To improve the reliability and reduce the maintenance cost of transformer oil, a life prediction of transformer oil is needed so that the maintenance of transformer can be performed correctly.
Xingchun Wei, Zhiming Wang, Junfeng Guo
doaj   +2 more sources

Reliability and Remaining Life Assessment of an Electronic Fuze Using Accelerated Life Testing [PDF]

open access: yesMicromachines, 2020
An electronic fuze is a one-shot system that has a long storage life and high mission criticality. Fuzes are designed, developed, and tested for high reliability (over 99%) with a confidence level of more than 95%.
Noor Muhammad   +3 more
doaj   +2 more sources

Aging Intensity for Step-Stress Accelerated Life Testing Experiments [PDF]

open access: yesEntropy
The aging intensity (AI), defined as the ratio of the instantaneous hazard rate and a baseline hazard rate, is a useful tool for the describing reliability properties of a random variable corresponding to a lifetime.
Francesco Buono, Maria Kateri
doaj   +2 more sources

Quantitative Accelerated Life Testing of MEMS Accelerometers

open access: yesSensors, 2007
Quantitative Accelerated Life Testing (QALT) is a solution for assessing thereliability of Micro Electro Mechanical Systems (MEMS). A procedure for QALT is shownin this paper and an attempt to assess the reliability level for a batch of ...
Jean-Paul Collette   +5 more
doaj   +3 more sources

Fuzzy multicomponent stress-strength reliability in presence of partially accelerated life testing under generalized progressive hybrid censoring scheme subject to inverse Weibull model [PDF]

open access: yesMethodsX
It typically takes a lot of time to monitor life-testing experiments on a product or material. Units can be tested under harsher conditions than usual, known as accelerated life tests to shorten the testing period. This study's goal is to investigate the
Neama Salah Youssef Temraz
doaj   +2 more sources

Sequential Bayesian Design for Accelerated Life Tests

open access: yesTechnometrics, 2018
Most of the recently developed methods on optimum planning for accelerated life tests (ALT) involve “guessing” values of parameters to be estimated, and substituting such guesses in the proposed solution to obtain the final testing plan. In reality, such guesses may be very different from true values of the parameters, leading to inefficient test plans.
I-Chen Lee   +2 more
exaly   +2 more sources

Application of accelerated life testing in human reliability analysis [PDF]

open access: yesInternational Journal of Research in Industrial Engineering, 2021
As manufacturers and technologies become more complicated, manufacturing errors such as machine failure and human error have also been considered more over the past. Since machines and humans are not error-proof, managing the machines and human errors is
Rasoul Jamshidi   +1 more
doaj   +1 more source

Estimation from Accelerated Life Testing Using Interval Data [PDF]

open access: yesThe Egyptian Statistical Journal, 1989
For the accelerated life testing with an exponential failure model and interval data, maximum likelihood estimators and asymptotic confidence intervals for the parameters of the inverse power model will be obtained.
O.A. Shalaby
doaj   +1 more source

Optimal Constant-Stress Accelerated Life Test Plans for One-Shot Devices with Components Having Exponential Lifetimes under Gamma Frailty Models

open access: yesMathematics, 2022
Optimal designs of constant-stress accelerated life test plans is one of the important topics in reliability studies. Many devices produced have very high reliability under normal operating conditions.
Man-Ho Ling
doaj   +1 more source

Stress-strength reliability under partially accelerated life testing using Weibull model

open access: yesScientific African, 2023
The reliability of a system is the probability that its strength exceeds its stress. This reliability is called as the stress-strength reliability. The inferences of the stress-strength reliability R=P(X>Y), when: (1) the strength (X) and stress (Y) are ...
Ammar M. Sarhan, Ahlam H. Tolba
doaj   +1 more source

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