Zobrazeno 1 - 10
of 84
pro vyhledávání: '"Rodrigo Mena"'
Publikováno v:
Sensors, Vol 24, Iss 17, p 5804 (2024)
This article implements a hybrid Machine Learning (ML) model to classify stoppage events in a copper-crushing equipment, more specifically, a conveyor belt. The model combines Artificial Neural Networks (ANNs) and Support Vector Machines (SVMs) with
Externí odkaz:
https://doaj.org/article/eae36bba89d54f43a1b7fc3adaf1d9b5
Publikováno v:
Machines, Vol 12, Iss 9, p 597 (2024)
Renewable energies have a fundamental role in sustainability, with wind power being one of the most important due to its low production costs. Modern wind turbines are becoming bigger and more complex, and their operation and maintenance must be as o
Externí odkaz:
https://doaj.org/article/3f7f58e3e36241da8b35e36c67e9833e
Publikováno v:
Applied Sciences, Vol 14, Iss 13, p 5514 (2024)
Under Condition-Based Maintenance, the Proportional Hazards Model (PHM) uses Cox’s partial regression and vital signs as covariates to estimate risk for predictive management. However, maintenance faces challenges when dealing with a multi-covariat
Externí odkaz:
https://doaj.org/article/483fca56d25d46f4a1130b3f85885199
Publikováno v:
Machines, Vol 12, Iss 6, p 403 (2024)
The proportional hazards model (PHM) is a vital statistical procedure for condition-based maintenance that integrates age and covariates monitoring to estimate asset health and predict failure risks. However, when dealing with multi-covariate scenari
Externí odkaz:
https://doaj.org/article/b45e86884bd2493db209e5094cab0d54
Publikováno v:
Machines, Vol 12, Iss 1, p 60 (2024)
The Proportional Hazards Model (PHM) under a Condition-Based Maintenance (CBM) policy is used by asset-intensive industries to predict failure rate, reliability function, and maintenance decisions based on vital covariates data. Cox’s partial likel
Externí odkaz:
https://doaj.org/article/492817f9a08743fda09ce98e1558f2ff
Autor:
Rodrigo Mena, Dorothea Hilhorst
Publikováno v:
Journal of International Humanitarian Action, Vol 7, Iss 1, Pp 1-16 (2022)
Abstract In high-conflict scenarios, humanitarian needs often surpass resources, and humanitarians are faced with ongoing challenges of whom to prioritise and where to work. This process is often referred to as ‘targeting’, but this article uses
Externí odkaz:
https://doaj.org/article/de2e1c9637114647ab0d78e035f1359e
Publikováno v:
Complexity, Vol 2023 (2023)
The considerable increase in the complexity associated with the formulation of maintenance plans has enabled the development of new techniques to bring maintenance scheduling optimization models to more realistic environments. In this sense, a previo
Externí odkaz:
https://doaj.org/article/fccc9df472ff46fbb76d8fa0da7a7c2e
Publikováno v:
Applied Sciences, Vol 12, Iss 11, p 5386 (2022)
In this article, we report on the design and implementation of a reportability tool using Microsoft Power BI embedded with Python script to assess opportunistic grouping schemes under a preventive maintenance policy. The reportability tool is based o
Externí odkaz:
https://doaj.org/article/19b4b3453a004db6bb384be82ad34112
Publikováno v:
Applied Sciences, Vol 11, Iss 22, p 10836 (2021)
Wastewater treatment is a critical and necessary task every human settlement is obligated to address. If not, the consequences might be catastrophic, not just for humans but for the ecosystems as well, pushing research into finding new ways to improv
Externí odkaz:
https://doaj.org/article/a1ee31cab6ef42e2a366fef1c536f43c
Publikováno v:
Applied Sciences, Vol 11, Iss 22, p 10853 (2021)
Wastewater treatment plants (WWTPs) face two fundamental challenges: on the one hand, they must ensure an efficient application of preventive maintenance plans for their survival under competitive environments; and on the other hand, they must simult
Externí odkaz:
https://doaj.org/article/82381cbb32944de3be88e048b54a6cb4