2019
DOI: 10.1016/j.mechmachtheory.2019.01.008
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Time-dependent mechanism reliability analysis based on envelope function and vine-copula function

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Cited by 63 publications
(21 citation statements)
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“…Our future research includes the following aspects: (1) MAV applications to agriculture, such as autonomous pollination [40]; (2) high efficiency and reliability in design for the MAV's key components [41]- [47] using new AI algorithms, with the support of the parallel CIAD framework [48].…”
Section: Resultsmentioning
confidence: 99%
“…Our future research includes the following aspects: (1) MAV applications to agriculture, such as autonomous pollination [40]; (2) high efficiency and reliability in design for the MAV's key components [41]- [47] using new AI algorithms, with the support of the parallel CIAD framework [48].…”
Section: Resultsmentioning
confidence: 99%
“…When the performance exceeds the specified threshold, the product is considered to be failed and the failure is the so-called degradation failure. Currently, there are two kinds of methods to build the reliability models [12]- [14]. One method is to build the reliability model by analyzing the physical and chemical factors based on the failure mechanism, which cause the failure of the product.…”
Section: Degradation Failure Modelmentioning
confidence: 99%
“…3) the trend index of moving min of the average precision (mminAP) and the index of moving min of the standard deviation (mminSTD),as given in equations (17) and (18), respectively.…”
Section: Three Pairs Of Trend Indicesmentioning
confidence: 99%
“…As shown in Figure 5, from top to bottom, the solid lines are the trend indices of mmaxAP, mmAP and mminAP of a fitness function in a vector f j , as given in equations (15), (13) and (17), respectively. The dashed lines are the boundaries of mmaxAP ± mmaxSTD, mmAP ± mmSTD and mminAP ± mminSTD values for each vector f j , as defined in Equations (16), (14) and (18), which illustrate the tracking shape of the evolutionary pathway for the optimization process, generation versus fitness f in this case, as the upper and lower boundaries.…”
Section: Evolutionary Pathwaymentioning
confidence: 99%
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