Dr. Oleksandr Ochkasov

As a consultant and researcher, I specialize in theoretical studies and practical implementation of artificial intelligence and innovative approaches in equipment maintenance and repair. I hold a Ph.D. in technical sciences and have extensive experience in developing diagnostic and monitoring systems for complex technical assets, such as electric locomotives, diesel engines, and traction motors. I currently serve as an Associate Professor in the Department of "Locomotives" at the Faculty of Transport Engineering.

In my work, I apply data analysis methods, including mathematical statistics, factor analysis, and machine learning, to assess equipment conditions and uncover hidden dependencies in its behavior.

Key areas of expertise include the implementation of RCM, RBM, and TPM methodologies to optimize maintenance processes, integrating IIoT technologies for equipment condition monitoring, and developing predictive maintenance systems.

With over 25 years of experience, I have been actively engaged in leveraging advanced technologies to enhance the reliability, performance, and efficiency of equipment across various industrial sectors.

Our AI starpup Anna Maly. Anna Maly is an anomaly detection solution for production enterprises from different industries.

It helps to increase equipment reliability and production quality by analyzing data from equipment sensors and SCADAs using a variety of ML and AI methods. More information about the Anna Maly https://annamaly.com/en/