Vyacheslav Kozitsin

Graduated from: Bauman Moscow State Technical University

Research interests: Predictive diagnostics of technical systems

Thesis title: Development of predictive diagnostics methods for NPP equipment

Publications:

(Accepted) I.D. Katser, V.O. Kozitsin, I.V. Maksimov “Fault detection methods for NPP equipment: A review”, Izvestiya vuzov. Yadernaya Energetika, 2019.

(Submitted) I.D. Katser, V.O. Kozitsin, I.V. Maksimov “Data preprocessing methods for NPP equipment diagnostics algorithms: A review”, 2019.

(Preparing) I.D. Katser, V.O. Kozitsin, I.V. Maksimov “Online approach of window-based change point detection algorithm for NPP turbine anomalies identification”, 2019. (Preparing) I.D. Katser, V.O. Kozitsin, I.V. Maksimov “Online time series prediction and fault detection by means of ARIMA models”, 2019.

Conferences:

I. Katser, V. Kozitsin, “Early detection of deviations from the normal state of operation of NPP equipment”, 11th ISTC “Ensuring the safety of nuclear power plants with VVER”, May 2019.

I. Katser, V. Kozitsin, “A review of unsupervised machine learning methods for NPP equipment fault detection”, presented at “The Earth Planet System” All-Russian Interdisciplinary Seminar-Conference, MSU, Moscow, Feb. 2019.

I. Katser, V. Kozitsin, “Application of machine learning methods and multidimensional statistical analysis for the problem of detecting deviations from the normal NPP operation mode”, presented at Gen-Y 2.0, Mar. 2019.

I.D. Katser, V.O. Kozitsin “The algorithm for early fault detection of the NPP equipment based on the neural network”, paper will be presented at the conference of young professionals “INNOVATION IN NUCLEAR POWER ENGINEERING”, 1-3 Oct. 2019.

I. D. Katser, V.O. Kozitsin “Anomaly detection of NPP equipment by one-class support vector machine algorithm”, paper will be presented at the conference of young professionals “INNOVATION IN NUCLEAR POWER ENGINEERING”, 1-3 Oct. 2019.