Papers
1
Total Citations
22
H-Index
1
About
Alexey Pedan is a researcher specializing in intelligent monitoring systems and the technical diagnostics of complex dynamic objects. His work focuses on developing advanced polling-based systems that enable real-time assessment and prediction of the condition of difficult-to-monitor machinery and infrastructure. His most-cited paper, "Approach to the Intellectual Monitoring of the Technical Condition of Difficult Dynamic Objects on the Basis of the Systems of a Polling" (2019, 22 citations), introduces a novel framework that integrates sensor polling data with intelligent algorithms to enhance fault detection and operational reliability. This contribution is particularly valuable in fields such as industrial automation, aerospace, and energy systems, where early anomaly detection can prevent costly failures. Pedan’s research bridges theoretical modeling and practical application, offering scalable solutions for predictive maintenance. His work has been cited by engineers and researchers developing next-generation monitoring platforms, underscoring its relevance to both academia and industry. By advancing the methodology for polling-based condition assessment, Pedan has laid groundwork for more adaptive and autonomous diagnostic systems, marking him as a thoughtful contributor to the field of technical cybernetics and intelligent control.
Research Focus
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Top Papers
- 1