Mathematical Modelling of Measurement-Computational Monitoring of the Electromechanical Parameters of Turbine units by a Phase-Chronometric Method

Komshin, A. S.

doi:10.1007/s11018-013-0295-x

Cited by 7 publications

(2 citation statements)

References 2 publications

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“…The developed mathematical model [9] for turbine T-250 takes into account the relationship between the electrical parameters of the generator, geometrical and physical-mechanical parameters of the turbine, including the moments of inertia and rigidity of the connected sections of the shafting.…”

Section: The Results Of the Comparison Of Mathematical Simulation Andmentioning

confidence: 99%

Problems of Formation of Diagnostic Features in the Diagnosis of Aircraft Engines

Pronyakin

2017

MATEC Web Conf.

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Abstract. The article is devoted to the evaluation of current technical condition of aircraft engines. Deals with the choice of the detection method of diagnostic features required for degradation assessment, emergency protection and detection of incipient defects on the example of cyclic machines and mechanisms. For the formation of diagnostic features in the diagnosis of aircraft engines use different physical effects (vibration, shock, heat radiation, electrodynamic and thermal processes, wear debris in oil, etc.). Classification of defects and requirements for the development of diagnostics systems is formed based on them. The article describes the requirements for diagnostic signs. The article provides a promising phase method that allows obtaining stable diagnostic characters in exploitation. The result of applying the method is shown. Diagnostic signs are formed. In mathematical modeling it was used the traditional theory of the description of rotary mechanisms. The data obtained are compared with experimental data.

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Section: The Results Of the Comparison Of Mathematical Simulation Andmentioning

confidence: 99%

Problems of Formation of Diagnostic Features in the Diagnosis of Aircraft Engines

Pronyakin

2017

MATEC Web Conf.

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“…The article [12] presents an interesting algorithm for predicting the state of machining tools during the processing of parts. The mathematical modeling problems are solved in [13] by constructing multifactorial mathematical models for turbine units. The article presents modern methods for wear monitoring of turning tools and the possibility of using the phase chronometer diagnostic method to assess tool wear [14].…”

Section: Introductionmentioning

confidence: 99%

Fault Detecting Accuracy of Mechanical Damages in Rolling Bearings

Kudelina

Baraškova²,

Shirokova³

et al. 2022

Machines

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Electrical machines are to face different challenging factors during operation, such as high unexpected or excessive loads, unusual properties of the working environment, or intense fluctuations in rotation speed. Therefore, maintenance questions and predicting the accuracy of an equipment’s condition have great importance. This study is based on the theory of vibration reliability. This article introduces the most common faults of bearings in electrical machines and discusses their diagnostic possibilities. Experimental setup, as well as studied bearing failures, are described. The accuracy of conducted experiments is introduced.

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Processing of Phase-Chronometric Measurement Information for the Purpose of Monitoring the Parameters of the Turning Process

Drozdova¹,

Syritsky²

2022

Lecture Notes in Mechanical Engineering

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Mathematical Modelling of Measurement-Computational Monitoring of the Electromechanical Parameters of Turbine units by a Phase-Chronometric Method

Cited by 7 publications

References 2 publications

Problems of Formation of Diagnostic Features in the Diagnosis of Aircraft Engines

Problems of Formation of Diagnostic Features in the Diagnosis of Aircraft Engines

Fault Detecting Accuracy of Mechanical Damages in Rolling Bearings

Processing of Phase-Chronometric Measurement Information for the Purpose of Monitoring the Parameters of the Turning Process

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