Papers
3
Total Citations
36
H-Index
3
About
Alexey Vinogradenko is a leading researcher in intelligent monitoring and state assessment of complex autonomous technical objects, including bodynets, robotic systems, unmanned vehicles, and aerial platforms. His work addresses the critical challenge of ensuring the safety, reliability, and quality of these dynamic systems under diverse operational conditions. Vinogradenko’s major contributions center on developing novel approaches that integrate wavelet analysis and polling-based systems for real-time, intelligent evaluation of technical states. 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), has garnered 22 citations, establishing a foundational method for non-invasive diagnostics. He further advanced this field with "An Approach for Intelligent Evaluation of the State of Complex Autonomous Objects Based on the Wavelet Analysis" (2019, 11 citations), which addresses the pressing need for robust assessment frameworks amid increasing automation and autonomy. His ongoing work, including a 2023 study on wavelet-based intelligent assessment, continues to shape the evolution of autonomous systems. Vinogradenko’s research is pivotal for engineers and scientists developing next-generation autonomous technologies, offering practical tools to enhance operational security and performance.
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