Models and Measures for the Diagnosis of Electric Power Equipment

Babak, Vitalii; Babak, Serhii V.; Eremenko, Volodymyr; Kuts, Yurii; Myslovych, Mykhailo V.; Scherbak, Leonid; Zaporozhets, Artur

doi:10.1007/978-3-030-70783-5_4

Cited by 18 publications

(3 citation statements)

References 55 publications

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“…Rotating machinery such as compressors, steam turbines, industrial fans, and aircraft engines is essential in industrial, civil, and military fields [1][2][3]. There has been an increasing interest in the lifespan of specific components such as bearings in rotating machinery and electric power equipment [4][5][6]. As performance requirements increase, rotating machinery is exposed to various and harsh operating conditions, and faults can occur due to high load and fatigue [7,8].…”

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%

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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“…Analytical methods [13,14] currently have undeservedly limited applications, perhaps due to their increased complexity. The authors of study [15] consider the construction of models and measures for monitoring the operation of power generation facilities, which is an important aspect of evaluating their effectiveness.…”

Section: Introductionmentioning

confidence: 99%

Organisation of the Structure and Functioning of Self-Sufficient Distributed Power Generation

Hotra,

Kulyk,

Babak

et al. 2023

Energies

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During the operation of solar and wind power plants, it is necessary to solve issues related to the guaranteed capacity of these plants, as well as the frequency stabilisation in the power system where they operate, and maintain an operating mode of self-sufficiency conditions. One of the solutions to these problems is the use of energy storage systems. This article proposes a mathematical model for the study of frequency and power regulation processes in power systems with distributed generation, which includes renewable energy resources and energy storage systems. The novelty of the model lies in the possibility of determining energy cost indicators based on instantaneous energy power data. The model allows us to estimate the conditions under which distributed generation becomes self-sufficient. The results of the model calculations of two variants of power system operation, which includes wind generators with a capacity of 1500 MW, demonstrate the ability of the proposed model to accurately reproduce the dynamics of the frequency stabilisation process. The calculation results of the energy-economic indicators of a real power system combined with a powerful subsystem of wind generation and a battery-type energy storage system prove the competitiveness of self-sufficient renewable energy power plants.

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“…In responsible applications, the number of controlled parameters already today reaches several hundreds and thousands. Such applications include rocket-space, aviation, ship technology, nuclear, thermal and hydroelectric power plants, power supply systems, radio-electronic and automated systems and complexes of various purposes, infrastructure objects [5][6][7][8][9]. Time delays and errors in management caused by incorrect solutions to the task of assessing or monitoring the conditions of industrial facilities can lead to irreversible negative consequences -Современные инновации, системы и технологии, 2022, 2(1) ________________________________________________________________________________ failure of the tasks assigned to them, failures, accidents and even disasters of various consequences.…”

Section: Introductionmentioning

confidence: 99%

Intellectualization of information processing systems for monitoring complex objects and systems

Aljarbouh

Ahmed

Guevara

et al. 2022

MIST

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Creating intelligent information processing systems for monitoring complex technical objects and systems is an important task today. This paper presents the principles and models for creating systems of this class. The decision-making process in intelligent information-measuring monitoring systems is described. The article presents a model of intelligent monitoring system and a model of decision-making in intelligent monitoring systems. The presented model of decision-making in intelligent monitoring systems allows estimating the efficiency of their functioning. The article proposes a structural scheme reflecting the sequence of decision-making tasks.

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Models and Measures for the Diagnosis of Electric Power Equipment

Cited by 18 publications

References 55 publications

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

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

Organisation of the Structure and Functioning of Self-Sufficient Distributed Power Generation

Intellectualization of information processing systems for monitoring complex objects and systems

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