Научный журнал Моделирование, оптимизация и информационные технологииThe scientific journal Modeling, Optimization and Information Technology
cетевое издание
issn 2310-6018

Combination of methods for change-point detection in operating of power generating equipment

idKazakov I.D. idShcherbakova N.L. idShcherbakov M.V.

UDC 004.896
DOI: 10.26102/2310-6018/2021.34.3.003

  • Abstract
  • List of references
  • About authors

The article discusses the issue of the reliability of the power generation system from the point of view of the cyber-physical control of the system. Companies that generate electricity must supply this resource without interruption and monitor the generation process to identify and correct all causes of possible malfunctions in the process. The authors present a hybrid method for detecting change-point in the operation of cyber-physical power generation systems based on data from the process of power generation by gas turbine plants, provided that they are in the «generation» operating mode. The hybrid approach to a problem is a sequence (or pipeline) of steps that improve the results of the basic approach using the n-sigma rule by comparing real generation data with a performance standard. The proposed hybrid method is based on the following methods: search for optimal parameters (the indicators of precision, recall and F1-measure of the developed method for selecting the optimal parameters were 0.7, 0.7778, 0.7369, respectively); identifying outliers; detecting change-point using heuristic rules. As methods for detecting outliers, the authors use the DBSCAN algorithm and the n-sigma rule. The hybrid method using the DBSCAN algorithm identified outliers without false positives compared to the baseline approach. Advanced heuristics for change-points detection allow cyber-physical system experts to quickly identify the cause of the change-point using information about the time of the failure and the sensors on which the failure occurs. Prompt identification of the change-point allows for more accurate and timely monitoring of the performance of individual units and the entire system as a whole, develop a strategy of actions for repairing equipment in the shortest possible time and with minimal intervention in the process (until the system reaches a critical state), which can significantly reduce costs for Maintenance. Application examples demonstrate the advantages of the proposed method for both synthetic and real data.

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Kazakov Igor Dmitrievich

Scopus | ORCID |

Volgograd state technical university

Volgograd, Russian Federation

Shcherbakova Natalia Lvovna
PhD in Engineering Science

Scopus | ORCID |

Volgograd state technical university

Volgograd, Russian Federation

Shcherbakov Maxim Vladimirovich
Doctor of Technical Sciences Associate Professor

Scopus | ORCID |

Volgograd state technical university

Volgograd, Russian Federation

Keywords: cyber-physical systems, statistical methods, оutlier, power generating equipment, change-point

For citation: Kazakov I.D. Shcherbakova N.L. Shcherbakov M.V. Combination of methods for change-point detection in operating of power generating equipment. Modeling, Optimization and Information Technology. 2021;9(3). Available from: https://moitvivt.ru/ru/journal/pdf?id=941 DOI: 10.26102/2310-6018/2021.34.3.003 (In Russ).


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Поступила в редакцию 05.03.2021

Revised 20.07.2021

Accepted 05.08.2021

Published 04.09.2021