A Model of Ship Auxiliary System for Reliable Ship Propulsion

Martinović, Dragan; Tudor, Mato; Bernečić, Dean

doi:10.7307/ptt.v24i2.284

Cited by 1 publication

(1 citation statement)

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“…Specially, there are many rotating machines that perform special functions to maintain operation of a ship [9]. Generators and pumps used for the operation and continued functioning of a ship and ships requiring specialized functions like LNG (liquefied natural gas) carriers require a variety of rotating machinery.…”

Section: Introductionmentioning

confidence: 99%

Fault Simulating Test Bed for Developing Diagnostic Algorithm of the Geared Rotating Machinery of Ships

Kim,

Song

et al. 2024

JMSE

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To prevent critical failure of the functional machinery of a ship, condition monitoring technologies have been much studied in recent times. In this respect, securing a fault database is a top priority in technology development. In this paper, we developed a test bed that simulates the LNG (liquefied natural gas) re-liquefaction system installed on LNG carriers to obtain data in various types of faults of ship machinery. To maintain rotor-dynamics characteristics, the structure was scaled based on the critical speed margin of the dynamic system. The developed test bed includes a gearbox and multiple shafts. It can simulate mass imbalance, misalignment, bearing fault, gear fault and impeller fault. To verify the validity of the vibration data obtained from the developed test bed, experiments were conducted on three fault modes: main shaft imbalance, pinion shaft imbalance, and gear fault. The time series data and FFT results were analyzed, and time domain features were extracted and statistically validated. Additionally, a simple diagnosis model was developed using the acquired data to evaluate its performance. The test data show distinct data with respect to fault conditions, and we can expect that the diagnosis algorithm can be developed using the test data. The developed test bed can provide not only for the fault data of a single component of the rotating machine but also for the combined fault data of the total system. In addition, we expect that it will solve the problem of securing fault data in the development of condition diagnosis technology if reliability is verified by identifying correlations by comparing data from the real system and data from the scaled test bed.

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Section: Introductionmentioning

confidence: 99%