Evangelos Diamantis

ORCID: 0009-0003-7920-9818
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About
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Research Areas
  • Fault Detection and Control Systems
  • Engineering Diagnostics and Reliability
  • Oil and Gas Production Techniques
  • Machine Fault Diagnosis Techniques
  • Advanced Data Processing Techniques

The fourth industrial revolution (Industry 4.0) brought significant changes in manufacturing, driven by technologies like artificial intelligence (AI), Internet of Things (IoT), 5G, robotics, and big data analytics. For industries to remain competitive, the primary goals must be improvement efficiency safety machinery, reduction production costs, enhancement product quality. Predictive maintenance (PdM) utilizes historical AI models diagnose equipment’s health predict remaining useful life...

10.3390/machines12110762 article EN cc-by Machines 2024-10-30

<span lang="EN-US">Combined with advances in sensing technologies and big data analytics, critical information can be extracted from continuous production processes for predicting the health state of equipment safeguarding upcoming failures. This research presents a methodology applying predictive maintenance (PdM) solutions showcases PdM application prediction condition monitoring, increasing safety productivity centrifugal pumps sustainable resilient ecosystem. Measurements depicting...

10.11591/ijai.v13.i1.pp850-862 article EN IAES International Journal of Artificial Intelligence 2023-12-25
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