Nikolay G Gubanov
Papers
2
Total Citations
5
H-Index
2
About
Nikolay G. Gubanov is a researcher focused on the reliability, diagnostics, and predictive maintenance of robotic and autonomous vehicles. His work centers on developing model-oriented approaches and network-based monitoring systems to assess and forecast the technical condition of robotic chassis and their components. Gubanov’s major contributions include designing an architecture for a system that diagnoses and predicts the health of robotic vehicles in real time, enabling constant oversight of critical assemblies and units. He has also advanced methods for analyzing residual resource sensitivity by integrating operational data with dynamic models of vehicle systems, nodes, and elements. This includes creating algorithms that leverage previous condition matrices to evaluate the state of components and improve operational reliability. While his most-cited papers have garnered 3 and 2 citations respectively, they represent foundational steps in a niche but vital area of robotics—ensuring the long-term dependability of autonomous platforms. Gubanov’s work is particularly relevant for researchers and engineers developing robust, self-diagnosing robotic systems for industrial, military, or exploratory applications, where predicting failure before it occurs is critical to mission success.
Research Focus
Key Achievements
Top Papers
- 1
- 2