首页|Research from Firat University Has Provided New Data on Artificial Intelligence (Artificial Intelligence for Predictive Maintenance Applications: Key Components, Trustworthiness, and Future Trends)
Research from Firat University Has Provided New Data on Artificial Intelligence (Artificial Intelligence for Predictive Maintenance Applications: Key Components, Trustworthiness, and Future Trends)
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Investigators publish new report on artificial intelligence. According to news reporting from Elazig, Turkey, by NewsRx journalists, research stated, “Predictive maintenance (PdM) is a policy applying data and analytics to predict when one of the components in a real system has been destroyed, and some anomalies appear so that maintenance can be performed before a breakdown takes place.” Financial supporters for this research include Scientific And Technological Research Council of Turkiyetubitak; Ecomai Pentaeuripides; Scientific Research Projects Coordination Unit of Firat University. Our news editors obtained a quote from the research from Firat University: “Using cutting-edge technologies like data analytics and artificial intelligence (AI) enhances the performance and accuracy of predictive maintenance systems and increases their autonomy and adaptability in complex and dynamic working environments. This paper reviews the recent developments in AI-based PdM, focusing on key components, trustworthiness, and future trends. The state-of-the-art (SOTA) techniques, challenges, and opportunities associated with AI-based PdM are first analyzed.”