Results 91 to 100 of about 1,051,691 (327)
SELECTION OF INPUT PARAMETERS OF THE NEURAL NETWORK FOR FORECASTING ONBOARD EQUIPMENT FAILURES
The article is devoted to the study of the urgent issue of forecasting onboard equipment failures. The effectiveness of combat missions by aircraft crews of the Armed Forces of Ukraine depends on the operational and high-quality preparation of on-board ...
Ali Bekirov+2 more
doaj +1 more source
Abstract Background Volumetric modulated arc therapy (VMAT) requires an accurate patient‐specific quality assurance (PSQA) program. In clinical practice, this is usually performed using the γ‐index and the two‐dimensional gamma passing rate (2D %GP). A three‐dimensional (3D) index incorporating the patient anatomy could be more useful for the 3D dose ...
Christos Zarros+6 more
wiley +1 more source
Modelling Failure Mechanisms in Subsea Equipment [PDF]
The oil and gas industry is recently facing a challenge to increase the efficiency and reduce the costs. One way to reduce costs is to better optimize the maintenance strategy.
Hansen, Siri Kildal
core
Abstract Purpose This study compares the dosimetric accuracy of deep‐learning‐based MR synthetic CT (sCT) in brain radiotherapy between the Analytical Anisotropic Algorithm (AAA) and AcurosXB (AXB). Additionally, it proposes a novel metric to predict the dosimetric accuracy of sCT for individual post‐surgical brain cases.
Jeffrey C. F. Lui+3 more
wiley +1 more source
Independent Orbiter Assessment (IOA): Analysis of the crew equipment subsystem [PDF]
The results of the Independent Orbiter Assessment (IOA) of the Failure Modes and Effects Analysis (FMEA) and Critical Items List (CIL) are presented. The IOA approach features a top-down analysis of the hardware to determine failure modes, criticality ...
Graham, L.+3 more
core +1 more source
Cost-benefit modelling for reliability growth [PDF]
Decisions during the reliability growth development process of engineering equipment involve trade-offs between cost and risk. However slight, there exists a chance an item of equipment will not function as planned during its specified life. Consequently
Hobbs GK+4 more
core +1 more source
A review of artificial intelligence in brachytherapy
Abstract Artificial intelligence (AI) has the potential to revolutionize brachytherapy's clinical workflow. This review comprehensively examines the application of AI, focusing on machine learning and deep learning, in various aspects of brachytherapy.
Jingchu Chen+4 more
wiley +1 more source
The failure rate is an important indicator to assess the reliability of substation equipment, and the failure rate prediction is an effective way to master the operation status of substation equipment.
Jingjing Wang, Hui Yin
doaj +1 more source
A general approach to optimal imperfect maintenance activities of a repairable equipment with imperfect maintenance and multiple failure modes [PDF]
In this paper we describe a general approach to optimal imperfect maintenance activities of a repairable equipment with independent components. Most of the existing works on optimal imperfect maintenance activities of a repairable equipment with independent components.
arxiv +1 more source
Reliability Centered Maintenance Implementation at CUF Kertih [PDF]
The reliability of the equipment on the plan is the most important parameter to be considered and improve. This parameter will be determining the equipment operating performance and the maintenance cost efficiency for the plan.
Shah Nadzri Bin Jasmir, Shah Nadzri
core +1 more source