Abstract:Reliability analysis of the pRoducts subject to competing failuRe pRocesses with unbalanced data opaRta na nieZbilansowanych danych analiZa nieZawodnoŚci pRoduKtÓw podlegajĄcych pRocesom powstawania usZKodZeŃ KonKuRujĄcych LI J, ZHANG Y, WANG Z, FU H, XIAO F. Reliability analysis of the products subject to competing failure processes with unblanced data. Eksploatacja i Niezawodnosc -Maintenance and Reliability 2016; 18 (1): 98-109, http://dx
“…Lee et al [6] reviewed the methodologies and applications of prognostics and health management design for rotary machinery systems. Li et al [7] analyzed products reliability using unbalanced data, in which unbalanced data means the number and time of measurements are not identical for degradation units. Roughly, the existing work can be divided into two classes, one class is the prediction models and methods are population-based, which means there are failure or suspension histories of same type components can be used.…”
optimization of replacement and spare ordering for critical rotary component based on condition signal to date. eksploatacja i niezawodnosc - Maintenance and Reliability 2017; 19 (1): 76-85, http://dx.doi.org/10.17531/ein.2017
“…Lee et al [6] reviewed the methodologies and applications of prognostics and health management design for rotary machinery systems. Li et al [7] analyzed products reliability using unbalanced data, in which unbalanced data means the number and time of measurements are not identical for degradation units. Roughly, the existing work can be divided into two classes, one class is the prediction models and methods are population-based, which means there are failure or suspension histories of same type components can be used.…”
optimization of replacement and spare ordering for critical rotary component based on condition signal to date. eksploatacja i niezawodnosc - Maintenance and Reliability 2017; 19 (1): 76-85, http://dx.doi.org/10.17531/ein.2017
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