N.V. Alistarova
Papers
1
Total Citations
2
H-Index
1
About
N.V. Alistarova is a researcher in vehicle reliability and operational diagnostics, with a focus on the mathematical modeling of mechanical systems. Her key research areas include the assessment of residual vehicle life, dynamic modeling of chassis components, and the development of operational reliability metrics for robotic systems. In her most cited work, "Use of Previous Conditions Matrixes for the Vehicle on the Basis of Operational Information and Dynamic Models of Systems, Nodes and Units" (2019), Alistarova introduces a novel approach for measuring the sensitivity of a vehicle’s residual resource. She proposes an algorithm that integrates operational data with dynamic models to evaluate the condition of nodes and elements, determining the most suitable method for assessing the reliability of robotic chassis. This work, with 2 citations, provides a foundational framework for predictive maintenance and condition-based monitoring in automotive and robotics engineering. Alistarova’s contributions are particularly valuable for researchers and engineers working on vehicle longevity, autonomous systems, and reliability engineering, offering a systematic method to enhance safety and performance through data-driven diagnostics.
Research Focus
Key Achievements
Top Papers
- 1