International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064

Downloads: 2 | Views: 84 | Weekly Hits: ⮙1 | Monthly Hits: ⮙1

Research Paper | Engineering Science | Hungary | Volume 12 Issue 12, December 2023 | Rating: 5 / 10

Revolutionizing Predictive Maintenance: How AI-Driven Solutions Enhance Efficiency and Reduce Costs Across Industries

Andras Zsombok [2] | Imre Zsombok [2]

Abstract: Thanks to the soaring cost of monitoring technology and new predictive analytics, it is now easier - and cheaper - than ever to avoid pumps, electronics and other systems failing. New stand-alone predictive maintenance solutions like the ones in our trials can be integrated into new and existing applications across a wide range of industries. AI enables fast and efficient processing, analysis and prediction of data. Algorithms analyse the data and can identify correlations, patterns and regularities on the basis of which predictions or decisions are made. AI is able to analyse data in a comprehensive way, enabling it to solve complex problems that are too complex or contain too much data to be processed using traditional methods. In addition to data analysis, AI is also capable of continuous learning and automation, which improve the efficiency and accuracy of analysis. The application of data-driven AI can improve efficiency and increase productivity, reduce costs and improve quality.

Keywords: AI, maintenance, monitoring, charging station, sustainability

Edition: Volume 12 Issue 12, December 2023,

Pages: 1168 - 1171

How to Download this Article?

Type Your Valid Email Address below to Receive the Article PDF Link

Verification Code will appear in 2 Seconds ... Wait