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[HTML][HTML] A systematic map** of the advancing use of machine learning techniques for predictive maintenance in the manufacturing sector
The increasing availability of data, gathered by sensors and intelligent machines, is
changing the way decisions are made in the manufacturing sector. In particular, based on …
changing the way decisions are made in the manufacturing sector. In particular, based on …
[HTML][HTML] Leveraging classical statistical methods for sustainable maintenance in automotive assembly equipment
J Bucay-Valdiviezo, P Escudero-Villa, J Paredes-Fierro… - Sustainability, 2023 - mdpi.com
Predictive maintenance management plays a crucial role in ensuring the reliable operation
of equipment in industry. While continuous monitoring technology is available today …
of equipment in industry. While continuous monitoring technology is available today …
Advances in Machine Learning-Driven Quality Control within ERP Systems: A Comprehensive Survey
SAQ Aldoori, M Mabrouk… - … Conference on Intelligent …, 2023 - ieeexplore.ieee.org
Enterprise Resource Planning (ERP) systems have become essential instruments in
contemporary corporate operations, offering significant benefits in process optimization and …
contemporary corporate operations, offering significant benefits in process optimization and …
[PDF][PDF] Selection of Photovoltaic Devices Using Weighted Sum Method
In this paper, we are going to analyze the parameters involved in the photovoltaic module. It
is done by obtaining experimental voltage-intensity cures. In the selection-making principle …
is done by obtaining experimental voltage-intensity cures. In the selection-making principle …
[PDF][PDF] Prediction of Hybrid Wind Farms using Fuzzy TOPSIS Analysis‖
In this paper Hybrid air turbines One way to set up, Battery energy saving With systems
(BESS) Is to increase the turbines. In such windmills Caused by the speed of the wind By …
(BESS) Is to increase the turbines. In such windmills Caused by the speed of the wind By …
[PDF][PDF] Mechanical and Thermal Properties of poly butylene succinate (PBS) Nano Composites
The active substance of Catalyst TiCl4 and the microcrystalline is MgCl2. has been
Polybutylene composites, Mechanical properties, Thermal properties, Nan composites …
Polybutylene composites, Mechanical properties, Thermal properties, Nan composites …
Data selection criteria for the application of predictive maintenance to centrifugal pumps
NNA Silveira, R Loendersloot… - … conference of the …, 2021 - research.utwente.nl
The maintenance of vehicles and components is present in most people's daily lives,
ranging from changing a private vehicle's oil to the failure prediction of an aircraft component …
ranging from changing a private vehicle's oil to the failure prediction of an aircraft component …
Framework Management to Minimize Risk in Protecting Enterprise Systems: Systematic Literature Review
Purpose: This study aims to determine the efforts to minimize the occurrence of risks in
enterprise systems and how far the framework is applied to an organization, as well as what …
enterprise systems and how far the framework is applied to an organization, as well as what …
Reducing Delays for Unplanned Maintenance of Service Parts in MRO Workshops: A case study at an aerospace and defence company
M Jenvald, M Hovmöller - 2020 - diva-portal.org
Abstract Service parts sometimes break down unexpectedly and require maintenance. The
irregular nature of the need for this type of maintenance makes forecasting difficult and …
irregular nature of the need for this type of maintenance makes forecasting difficult and …
Integration of Machine Learning Models for Predictive Maintenance in SAP Financial Operations Surya Sai Ram Parimi
SS Parimi - Available at SSRN 4934830, 2024 - papers.ssrn.com
Predictive maintenance, powered by machine learning models, offers a proactive approach
to enhancing the reliability and efficiency of SAP financial operations. This survey explores …
to enhancing the reliability and efficiency of SAP financial operations. This survey explores …