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2 2022

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Reliability assessment of water treatment plant with application of the Monte Carlo simulation

Mirosław-Świątek Dorota, Morawski Dariusz, Pieniak Łukasz, Świątek Bartłomiej, Czapski Przemysław, Siwiec Tadeusz

Zeszyty Naukowe SGSP / Szkoła Główna Służby Pożarniczej

2022

Nr 83

61--81

The paper presents a comprehensive Reliability, Availability and Maintainability (RAM) assessment of the Water Supply Plant WULS-SGGW (WSP). The Monte Carlo method was used to simulate failure events of components in the technological process of the water treatment system. BlockSim application was used to perform an analysis. The reliability block diagram was used as a system modeling method. Reliability metrics were estimated based on 1000 simulations of 15 years of operation of the station. Simulations allowed the estimation of reliability metrics for the WSP, its subsystems, sections as well as basic elements included in the model. They also made it possible to determine which components are most critical to reliability.

W artykule przedstawiono kompleksową ocenę niezawodności, dostępności i utrzymywalności (RAM) Zakładu Wodociągowego WULS-SGGW (WSP). Do symulacji zdarzeń awaryjnych obiektów w procesie technologicznym systemu uzdatniania wody wykorzystano metodę Monte Carlo. Do przeprowadzenia analizy wykorzystano aplikację BlockSim. Jako metodę modelowania systemu zastosowano niezawodnościowy schemat blokowy. Metryki niezawodnościowe oszacowano na podstawie 1000 symulacji 15-letniej eksploatacji stacji. Symulacje pozwoliły na oszacowanie metryk niezawodnościowych dla WSP, jej podsystemów, sekcji, a także podstawowych elementów wchodzących w skład modelu. Pozwoliły również na określenie, które elementy są najbardziej krytyczne dla niezawodności.

Reliability, availability, and maintainability analysis of the propulsion system of a fleet

Bayraktar Murat, Nuran Mustafa

Zeszyty Naukowe Akademii Morskiej w Szczecinie

2022

nr 70 (142)

63--70

New systems are produced and developed to meet specific needs, and their reliability is the most important issue. In the maritime industry, evaluating failures in a ship’s propulsion system results in high costs and the loss of prestige for the company. Land/sea fleet employees need to detect and minimize the failures that may occur in ship propulsion systems in advance to ensure the continuity of the ships’ operations. In this study, the recorded failure data of four different ships belonging to a fleet in the last 10 years are used. Failures were examined as a whole since the ships have similar propulsion systems. The obtained failure data were grouped, and the average time to fix the failures was determined by the chief engineer and made suitable for reliability, availability, and maintainability (RAM) analysis. A suitable model was created for grouped failures by Isograph’s RWB software. As a result of the analysis of the propulsion system and its subsystems, the main engine of the ship was shown to have the best reliability. Furthermore, the most important components were the cylinders of the main engine as subsystems. This study highlights the components that are important to the reliability of a propulsion system. Thanks to the RAM analysis, improvements can be pinpointed on a ship’s propulsion system, which will increase the operations of the maritime industry. Reducing failures will further increase the confidence in maritime transport and strengthen its place among the modes of transportation. This study provides a valuable resource for academicians, experts, as well as companies working on reliability, availability, and maintainability in the future.