Results 91 to 100 of about 88,227,781 (177)

Proposal for a Sustainable Model for Integrating Robotic Process Automation and Machine Learning in Failure Prediction and Operational Efficiency in Predictive Maintenance

Applied Sciences
This paper proposes a sustainable model for integrating robotic process automation (RPA) and machine learning (ML) in predictive maintenance to enhance operational efficiency and failure prediction accuracy.
Leonel Patrício, Leonilde Varela, Zilda Silveira   +2 more
doaj   +1 more source

An On-line BIST RAM Architecture with Self Repair Capabilities [PDF]

, 2002
The emerging field of self-repair computing is expected to have a major impact on deployable systems for space missions and defense applications, where high reliability, availability, and serviceability are needed.
Di Natale, Giorgio, Benso, Alfredo, Prinetto, Paolo Ernesto, Chiusano, Silvia Anna   +3 more
core   +1 more source

Maintenance Tools applied to Electric Generators to Improve Energy Efficiency and Power Quality of Thermoelectric Power Plants

Energies, 2017
This paper presents a specific method to improve the reliability of the equipment and the quality of power supplied to the electrical systems with the frequency and voltage control of a thermoelectric plant, to guarantee a more stable system.
Milton Fonseca Junior, Ubiratan Holanda Bezerra, Jandecy Cabral Leite, Jorge Laureano Moya Rodríguez   +3 more
doaj   +1 more source

A structured approach for the reduction of mean time to repair of blast furnace D, ArcelorMittal, South Africa, Vanderbijlpark [PDF]

, 2011
Thesis (M.Ing. (Development and Management Engineering))--North-West University, Potchefstroom Campus, 2012.Organizations are expected by their shareholders to continually deliver above industry returns on capital invested and to remain competitive in ...
Madonsela, Alex Thulani
core  

Exploring Incident Management: A Comparative Study of Splunk Enterprise, Graylog Open and Syslog-ng and their Impact on Mean Time to Resolution (MTTR)

Introduction Security Information and Event Management (SIEM) systems play a crucial role in detecting, managing, and mitigating security incidents, yet selecting an appropriate SIEM solution remains a complex challenge.
Dahlberg, Gustav
core   +2 more sources

Building an intelligent e-diagnostics system for reducing mean time to repair (MTTR) of wire bond machines

, 2002
In today's cost driven semiconductor industry, utilizing the available capacity to its maximum limits is of prime importance for being competitive. With the equipments being expensive and the technology changing very fast, utilization of the available ...
Sunil, Bhandari, Du, Xian, Wang, Xiaobo
core  

Integrated Subjective–Objective Weighting and Fuzzy Decision Framework for FMEA-Based Risk Assessment of Wind Turbines

Systems
Accurate fault risk assessment is essential for maintaining wind turbine reliability. Traditional failure modes and effects analysis (FMEA)-based approaches struggle to handle the fuzziness, uncertainty, and conflicting nature of multi-criteria ...
Zhiyong Li, Yihan Wang, Yu Xu, Yunlai Liao, Qijian Liu, Xinlin Qing   +5 more
doaj   +1 more source

Research on the intelligent control system for lithium-ion aluminium shell power battery module stacking

Mechanics & Industry
During the stacking and welding process of lithium-ion aluminium shell power battery modules, the accumulation of cell size errors can easily cause the module length to exceed the tolerance range, affecting the module length qualification rate and the ...
Sheng Qingshan, Sirikham Adisorn, Konpang Jessada, Wu Heng   +3 more
doaj   +1 more source

Analisis Perhitungan Mean Time Between Failure (MTBF) Dan Mean Time To Repair (MTTR) Pada Hot Oil Heater Di Extraction Plant PT. Perta – Samtan Gas

Laporan magang ini membahas analisis keandalan Hot Oil Heater yang beroperasi pada Extraction Plant PT Perta–Samtan Gas. Hot Oil Heater merupakan peralatan pendukung proses yang berfungsi menyediakan media perpindahan panas berupa thermal oil untuk ...
Firjatulloh, Favian
core  

SCADA-Driven big data framework for fault prediction in spiral steel pipe manufacturing using fuzzy and neural network models

Applied Computer Science
The increasing complexity of spiral steel pipe production necessitates the implementation of intelligent forecasting methods to predict potential failures.
Bakhshali BAKHTIYAROV, Aynur JABIYEVA, Mahabbat KHUDAVERDIYEVA   +2 more
doaj   +1 more source