Increasing the safety of power plants using a new model of reliability

Kucora, Istvan; Radovanović, Ljiljana; Milošević, Dragan; Vulovic, Stevan; Kovacevic, Miodrag; Otić, Goran; Adamović, Živoslav

doi:10.1080/15567249.2016.1185481

Cited by 5 publications

(2 citation statements)

References 5 publications

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“…ANNs are used for the purpose of diagnostics of the condition of the shafts on turbines and even within the monitoring [3] but in conditions where there is no continuous diagnostics or when it is not possible in an adequate manner, this limiting factor in the application of such models is impossible. Alternatives are found in reliability models that indicate the probability of faultless work, usually based on probability theory, Weibull's distribution, Monte Carlo simulations, etc [4]. Such models can be successfully used to optimize preventive maintenance on technical systems [5].…”

Section: Literature Reviewmentioning

confidence: 99%

MLP ANN Condition Assessment Model of the Turbogenerator Shaft A6 HPP Đerdap 2

Ilic¹,

Milošević

Jovanović³

et al. 2021

Teh. vjesn.

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This paper describes a model for estimating the condition of the shafts of turbines of the current generator in Hydropower plant Đerdap 2. For this purpose, an integral diagnostic approach was used. Based on the diagnostics of the condition of the shaft and the estimated lifetime, a multi-layer perceptron (MLP) based artificial neural network (ANN) is built, which is able to estimate the remaining lifespan of the turbine shaft. The MLP ANN model has not been made in this way on turbogenerators of hydroelectric power plant Đerdap 2 until now. The significance of this approach is that experiment brings about topology of ML ANN (number of neurons and layers) which is optimal for this model, training and testing. Results obtained from the neural network can be further used for decision-making about the moment of diagnosis or maintenance actions, as well as reducing stagnation and production losses.

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Section: Literature Reviewmentioning

confidence: 99%

MLP ANN Condition Assessment Model of the Turbogenerator Shaft A6 HPP Đerdap 2

Ilic¹,

Milošević

Jovanović³

et al. 2021

Teh. vjesn.

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“…This represents the basis for planning and implementing quality and necessary maintenance technology procedures practically. In order to maintain an appropriate level of safety in the operation of the turbogenerator, it is necessary to pay more attention to their maintenance and organization of exploitation [6]. Maintaining these technical systems aims to ensure continuous operation as long as possible and reach the maximum working life [7,8].…”

Section: Introductionmentioning

confidence: 99%

Optimization Model of Vibrodiagnostic Maintenance of Turbogenerators

Josimović,

Bogićević,

Serban-loan

2023

adeletters

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In optimizing the vibrodiagnostics of thermal power plants, a mathematical model was developed and used to increase the power plants’ safety and operational characteristics. The choice of diagnostic condition parameters of the components was made based on optimization characteristics that affect the accuracy of the solution and operational readiness of the thermal power plant. The research aimed to develop a universal model by analyzing more optimized vibrodiagnostics of the turbogenerator, which achieves high operational reliability, high safety, an extension of service life, an extension of working life, a reduction of overhaul time, etc. The application of the model represents the concept of optimization with the checking of condition parameters, which is applied to turbogenerator assemblies that have a continuous change of condition parameters as a function of the monitoring time, for which the functional dependence between the intensity of the parameter change and the operating time can be determined.

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