..., stacked ensemble classifier was developed to predict the probability of failure (PoF). Bootstrap resampling was employed to generate 95% confidence intervals for uncertainty quantification. To address the limitations of the “black box” nature of standard AI, SHapley Additive exPlanations (SHAP) were...

...Temesgen Gashu Getnet; Bereket Haile Woldegiorgis; Betsha Tizazu Abreham Purpose The objective of this study is to develop a comprehensive framework that integrate probabilistic failure modeling techniques such as Bayesian network and fault tree to evaluate failure dependency, linguistic fuzzy...

...James Geisbush; Samuel T. Ariaratnam Purpose Reliability centered maintenance (RCM) is a process used to determine activities to be taken to ensure an asset continues to perform asset's function in asset's present operating context by identifying asset's function, failure modes that could preclude...

... and the closed-loop system of spatial structure is formed. Machines are a double-edged sword in that they can have favorable and unfavorable consequences. With the expansion of industry, the direct and indirect losses caused by equipment failure are huge. Since 1781 when the steam engine was invented, human...

... unit (e.g. failure of any component, scheduled maintenance (PM), inspection, opportunity, etc.). Rows of the matrix correspond to the decisions taken (to the executable actions). The matrix can be conveniently used for the notation of maintenance policies, in the analysis of the effectiveness...