Difference between revisions of "Nabila Fahira Mulya"
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| − | + | Nabila Fahira Mulya | |
| − | + | 2206026435 | |
| − | + | Project Title | |
| + | “Hydraulic Integration with AI Technology: The Future of Industrial Automation Systems” | ||
| − | + | Author Complete Name | |
| + | Nabila Fahira Mulya - 2206026435 | ||
| − | + | Affiliation | |
| + | Conversion Energy System 01 | ||
| + | Mechanical Engineering Department | ||
| + | Faculty of Engineering | ||
| + | Universitas Indonesia | ||
| − | + | Abstract | |
| + | The integration of hydraulic systems with Artificial Intelligence (AI) represents a transformative step in the evolution of industrial automation. Hydraulic systems, known for their ability to generate high power with precision, are pivotal in industries such as construction, manufacturing, and transportation. However, traditional hydraulic systems often face challenges such as inefficiencies, maintenance complexities, and operational risks. | ||
| − | + | This paper explores the potential of AI technologies to optimize hydraulic systems by enabling real-time monitoring, predictive maintenance, and adaptive control. By incorporating sensors and AI algorithms, hydraulic systems can autonomously detect anomalies, predict component failures, and adjust performance parameters to enhance efficiency and reliability. Case studies from various industries highlight significant improvements in productivity, energy consumption, and system longevity through AI-driven hydraulic solutions. | |
| − | + | Furthermore, the paper discusses the economic and operational implications of this integration, emphasizing the reduction of downtime, operational costs, and environmental impact. Challenges such as high implementation costs, data security concerns, and the need for skilled labor are also addressed, along with strategies to mitigate these barriers. | |
| − | + | Ultimately, this research underscores the importance of hydraulic integration with AI as a cornerstone for advancing industrial automation systems, paving the way for smarter, safer, and more sustainable operations. | |
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Revision as of 14:17, 9 December 2024
Nabila Fahira Mulya 2206026435
Project Title “Hydraulic Integration with AI Technology: The Future of Industrial Automation Systems”
Author Complete Name
Nabila Fahira Mulya - 2206026435
Affiliation Conversion Energy System 01 Mechanical Engineering Department Faculty of Engineering Universitas Indonesia
Abstract The integration of hydraulic systems with Artificial Intelligence (AI) represents a transformative step in the evolution of industrial automation. Hydraulic systems, known for their ability to generate high power with precision, are pivotal in industries such as construction, manufacturing, and transportation. However, traditional hydraulic systems often face challenges such as inefficiencies, maintenance complexities, and operational risks.
This paper explores the potential of AI technologies to optimize hydraulic systems by enabling real-time monitoring, predictive maintenance, and adaptive control. By incorporating sensors and AI algorithms, hydraulic systems can autonomously detect anomalies, predict component failures, and adjust performance parameters to enhance efficiency and reliability. Case studies from various industries highlight significant improvements in productivity, energy consumption, and system longevity through AI-driven hydraulic solutions.
Furthermore, the paper discusses the economic and operational implications of this integration, emphasizing the reduction of downtime, operational costs, and environmental impact. Challenges such as high implementation costs, data security concerns, and the need for skilled labor are also addressed, along with strategies to mitigate these barriers.
Ultimately, this research underscores the importance of hydraulic integration with AI as a cornerstone for advancing industrial automation systems, paving the way for smarter, safer, and more sustainable operations.
