Generic structural model of machinery vibroacoustic signal

Kostyukov, A. V.; Naumenko, A. P.; Boychenko, S. N.

doi:10.1063/1.5051952

Cited by 5 publications

(2 citation statements)

References 6 publications

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“…Based on the performed theoretical and experimental studies [41,97,99], the following was established: (1) Te properties of the CF of the VA signal-in particular, the modulus, the CF argument, and the area under the CF curve-change their value in accordance with changes in the state of the object and correspond to the current state at least as much as this state of the RMS VA signal, particularly the RMS vibration acceleration.…”

Section: Discussion Of the Resultsmentioning

confidence: 99%

An Overview of Vibration Analysis Techniques for the Fault Diagnostics of Rolling Bearings in Machinery

Burda

Zusman²,

Kudryavtseva

et al. 2022

Shock and Vibration

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The perfection of methods and means of nondestructive testing and technical diagnostics is determined by the level of development of science and modern industrial technologies. The desire to develop technologies determines the extent and degree to which the monitoring of the state of substances, materials, products—and now the state of the natural environment—are becoming increasingly relevant. The methods and means of condition monitoring and the diagnostics of rolling bearings have been in development for more than 60 years. Despite some successes, however, there is currently no information concerning the veracity of means to completely resolve the bearing diagnostics problem. This paper provides a fairly brief overview of methods and means for monitoring the condition and diagnosis of rolling bearings and also describes one of the newest trends in this field—the analysis of the properties of the characteristic function of vibroacoustic (VA) signals in order to determine the condition of the objects of control and, in particular, rolling bearings. It is shown that the magnitude of the module and the area of the characteristic function of the VA signal are very effective criteria for assessing the technical condition of a rolling bearing.

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Section: Discussion Of the Resultsmentioning

confidence: 99%

An Overview of Vibration Analysis Techniques for the Fault Diagnostics of Rolling Bearings in Machinery

Burda

Zusman²,

Kudryavtseva

et al. 2022

Shock and Vibration

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show abstract

“…In any conditions the diagnostics of cylinder -piston group (CPG) state is one of the most important task [4]. In this regard the frequency analysis may appear a promising and efficient method of technical diagnostics of the engine [5,6]. Indeed, the signal spectrum, obtained from any engine point, contains information about all vibration sources.…”

Section: Introductionmentioning

confidence: 99%

Estimation of Combustion Engine Rotation Speed Based on Vibration Signal Analysis

Avramchuk

Kaz'min

2016

KEM

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Diagnostics of mechanisms and systems allows estimating their current state and taking measures if necessary to carry out preventive or other actions for elimination of possible malfunctions. Diagnostics of mechanical parts of combustion engines, as well as other mechanical devices, mechanisms and systems as a whole, is the relevant objective. The purpose of the paper is to research the possible use of time-frequency autocorrelated function to analyze the combustion engine vibration signals to determine possible defects in its work. The paper introduces the basic possible definition of engine operation processes characteristics, being accompanied by emergence of additional frequency components in a spectrum of engine vibrosignal. The time-frequency correlation analysis allows receiving out of spectrum of engine vibrosignal additional information on weak periodic signals characterizing existence of any malfunctions of its mechanical part.

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Condition monitoring of heat-exchange equipment of the diesel fuel hydrotreatment processes

Demin

Gorchakova

Naumenko

et al. 2019

NANOSCIENCE AND NANOTECHNOLOGY: NANO-SciTech

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Generic structural model of machinery vibroacoustic signal

Cited by 5 publications

References 6 publications

An Overview of Vibration Analysis Techniques for the Fault Diagnostics of Rolling Bearings in Machinery

An Overview of Vibration Analysis Techniques for the Fault Diagnostics of Rolling Bearings in Machinery

Estimation of Combustion Engine Rotation Speed Based on Vibration Signal Analysis

Condition monitoring of heat-exchange equipment of the diesel fuel hydrotreatment processes

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