2020
DOI: 10.1016/j.engfailanal.2020.104953
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Reliability analysis of gear rotation meta-action unit based on Weibull and inverse Gaussian competing failure process

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Cited by 26 publications
(9 citation statements)
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“…Despite all the benefits, the developed failure tracing model has some deficiencies that provide future study directions. First, the execution of a meta action depends on an assembly (called meta action unit 59 ) which is composed by several parts. The root cause of meta action failure is the failure of internal parts of the corresponding meta action unit.…”
Section: Discussionmentioning
confidence: 99%
“…Despite all the benefits, the developed failure tracing model has some deficiencies that provide future study directions. First, the execution of a meta action depends on an assembly (called meta action unit 59 ) which is composed by several parts. The root cause of meta action failure is the failure of internal parts of the corresponding meta action unit.…”
Section: Discussionmentioning
confidence: 99%
“…Fitting fatigue data into a probability density function (PDF) is the first stage when investigating fatigue reliability. Fatigue data can be represented by the Weibull distribution, according to earlier studies [ 41 ]. Equation (4) contains the base 10 logarithmic formula for the PDF of the fatigue life–Weibull distribution [ 42 ]: where β is the shape parameter and θ is the scale parameter.…”
Section: Methodsmentioning
confidence: 99%
“…To characterize the changes in performance through external shocks, Kijima et al [23] proposed a shock model that is more physical and intuitive. Thus far, equipment reliability and maintenance strategy optimization have been studied based on the cumulative shock model [24][25][26][27][28][29]. Equipment is subject to the competing failure of internal-based deterioration and external-based shocks to optimize preventive maintenance thresholds and periodic inspection intervals [30][31][32][33].…”
Section: Introductionmentioning
confidence: 99%