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Implementation of an Intelligent Monitoring System in Industrial Motors and Pumps
Subject area: Science,Engineering and Technology · Area of research: Engineering
Abstract
This article presents the implementation of an intelligent real-time monitoring system for industrial motors and vacuum pumps, led by engineer Celio Francisco Filho. The system employs advanced sensors to collect data on pressure, temperature, and vibration, enabling predictive maintenance and operational control. The deployment resulted in a 70% reduction in unexpected failures and a 25% increase in equipment lifespan, demonstrating significant improvements in reliability and efficiency. Furthermore, the project highlights the integration of Industry 4.0 technologies such as IIoT, data analytics, and cyber-physical systems to enhance energy efficiency and sustainability. The study also emphasizes the critical role of leadership and workforce engagement in successfully embedding digital solutions in industrial operations, fostering a culture of proactive maintenance and continuous improvement.
Keywords
Predictive Maintenance, Industrial Automation, Condition Monitoring, Industry 4.0, Reliability Engineering.
How to cite this paper
@article{1708947,
author = {C?lio Francisco Filho},
title = {Implementation of an Intelligent Monitoring System in Industrial Motors and Pumps},
journal = {Iconic Research And Engineering Journals},
year = {2021},
volume = {4},
number = {7},
pages = {319-324},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1708947.pdf},
abstract = {This article presents the implementation of an intelligent real-time monitoring system for industrial motors and vacuum pumps, led by engineer Celio Francisco Filho. The system employs advanced sensors to collect data on pressure, temperature, and vibration, enabling predictive maintenance and operational control. The deployment resulted in a 70% reduction in unexpected failures and a 25% increase in equipment lifespan, demonstrating significant improvements in reliability and efficiency. Furthermore, the project highlights the integration of Industry 4.0 technologies such as IIoT, data analytics, and cyber-physical systems to enhance energy efficiency and sustainability. The study also emphasizes the critical role of leadership and workforce engagement in successfully embedding digital solutions in industrial operations, fostering a culture of proactive maintenance and continuous improvement.},
keywords = {Predictive Maintenance, Industrial Automation, Condition Monitoring, Industry 4.0, Reliability Engineering.},
month = {January},
}