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Recent advances in system reliability optimization driven by importance measures
Abstract System reliability optimization problems have been widely discussed to maximize
system reliability with resource constraints. Birnbaum importance is a well-known method for …
system reliability with resource constraints. Birnbaum importance is a well-known method for …
Importance measure-based maintenance strategy optimization: Fundamentals, applications and future directions in AI and IoT
Numerous maintenance strategies have been proposed in the literature related to reliability.
This paper focuses on the utilization of reliability importance measures to optimize …
This paper focuses on the utilization of reliability importance measures to optimize …
Failure probability analysis by employing fuzzy fault tree analysis
M Yazdi, F Nikfar, M Nasrabadi - International Journal of System …, 2017 - Springer
A significant number of accidents occur every year in chemical plants because of the failure
of components. In order to manage this risk, fault tree analysis (FTA), a well-known method …
of components. In order to manage this risk, fault tree analysis (FTA), a well-known method …
Machine criticality based maintenance prioritization: Identifying productivity improvement potential
Purpose The purpose of this paper is to identify the productivity improvement potentials from
maintenance planning practices in manufacturing companies. In particular, the paper aims …
maintenance planning practices in manufacturing companies. In particular, the paper aims …
Data-driven approach to predict the sequence of component failures: a framework and a case study on a process industry
S Antomarioni, FE Ciarapica… - International Journal of …, 2022 - emerald.com
Purpose The research approach is based on the concept that a failure event is rarely
random and is often generated by a chain of previous events connected by a sort of domino …
random and is often generated by a chain of previous events connected by a sort of domino …
[HTML][HTML] A systemic approach for stochastic reliability management in human–machine systems
In today's complex engineered systems, comprising a multitude of interacting components,
preserving system performance is of utmost importance. The challenge often lies in …
preserving system performance is of utmost importance. The challenge often lies in …
A knowledge-based digital lifecycle-oriented asset optimisation
Sažetak The digitalisation of the value chain promotes sophisticated virtual product models
known as digital twins (DT) in all asset-life-cycle (ALC) phases. These models. however, fail …
known as digital twins (DT) in all asset-life-cycle (ALC) phases. These models. however, fail …
A model for financial viability of implementation of condition based maintenance for induction motors
A Gugaliya, VNA Naikan - Journal of Quality in Maintenance …, 2020 - emerald.com
Purpose When induction motors are considered, there is no specific cost model for net
savings per year due to condition-based maintenance (CBM) covering various parameters …
savings per year due to condition-based maintenance (CBM) covering various parameters …
An autonomous multi-sensor satellite system based on multi-agent blackboard model
L He, G Li, L **nG, Y CHen - Eksploatacja i Niezawodność, 2017 - yadda.icm.edu.pl
Traditional Earth observation satellite cannot work well in terms of emergencies,
environmental uncertainties and scientific events discovery. Therefore, it is of significance to …
environmental uncertainties and scientific events discovery. Therefore, it is of significance to …
Comparison of Different Metrics of Belt Condition Used in Lignite Mines for Taking Decision About Belt Segments Replacement and Refurbishment
Since the 1980s, brown coal mines in Poland have regularly refurbished belts to reduce the
purchase of new belts. The importance of belt refurbishment has increased due to rising …
purchase of new belts. The importance of belt refurbishment has increased due to rising …