Application of the model recognition emergency sheet in order to increase the reliability of the plant in the energy sector

ABSTRACT

Aggregate plant with diesel engines DEA (diesel electric aggregate) is a reliable support against collapse that would accompany an electric power cut. In order to recognize an emergency state and prevent the failure of systems such as DEA, predictive maintenance and condition monitoring are introduced. The recognition of the types of defects that allow the classification of the emergency states, timely action, and failure prevention is enabled. The goal of the implementation of model recognition emergency sheet is to increase system reliability, reducing the number of failures. This increases the operational safety of plants in energy sector, which is in accordance with the provision of energy security by applying measures of Directive 2005/89/EU. According to the directive, it is necessary to ensure a reliable, safe, efficient, and quality power supply.

KEYWORDS:

• Emergency sheet
• energy sector
• model
• recognition
• reliability

Acknowledgments

This work is part of the doctoral dissertation research by Dejan Spasic titled Forecasting models of reliability and their impact on the process of exploitation of diesel engines (University of Novi Sad, Technical faculty “Mihajlo Pupin”, Zrenjanin, Serbia).

Funding

This paper is the result of the research within the project TR 34028, which is financially supported by the Ministry of Education and Science of Serbia, PD TE – KO Kostolac and Messer Tehnogas.

Additional information

Funding

This paper is the result of the research within the project TR 34028, which is financially supported by the Ministry of Education and Science of Serbia, PD TE – KO Kostolac and Messer Tehnogas.