Naslov
A Decision Support System for the Prediction of Wastewater Pumping Station Failures Based on CBR Continuous Learning Model

Autori
Trstenjak, Bruno ; Palašek, Bruno ; Trstenjak, Jurica

Izvornik
Engineering, Technology & Applied Science Research (2241-4487) 9 (2019), 5; 4745-4749

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
continuous learning ; decision support system ; prediction ; wastewater pumping station

Sažetak
In today's the communities are faced with the problem of waste and wastewater. Wastewater systems become more complex and there is a need for development of sustainable solution for wastewater management. Therefore, the development of a Decision Support System (DSS) for wastewater disposal management is necessary. This paper presents a new DSS for predicting the failure of wastewater pumping stations, the system architecture and its implementation. The prediction model is based on the Case Based Reasoning (CBR) classification method. The standard CBR classification technique has been upgraded with the algorithm for continuous learning. The paper describes the system structure, its connection to the wastewater system, the internal processes involved in the prediction process and implemented algorithm for continuous learning. Furthermore, the features used in the prediction are indicated, as well as the achieved results and the method of results evaluation. The test and obtained results indicate that proposed DSS is efficient and capable of providing very good results in the prediction process.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo, Interdisciplinarne tehničke znanosti

POVEZANOST RADA