Assessment of Characteristic Function Modulus of Vibroacoustic Signal Given a Limit State Parameter of Diagnosed Equipment

Kostyukov, V. N.; Naumenko, A. P.; Kudryavtseva, I. S.

doi:10.1088/1742-6596/944/1/012063

Cited by 11 publications

(8 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In-situ monitoring based on acoustic emission is shown to be reliable for the requirements of mechanical processing [79, 80, 81, 82]. It can detect the wear rate of cutting tools or unstable conditions of a machine tool during processing.…”

Section: Introductionmentioning

confidence: 99%

Electrical discharge machining of ceramic nanocomposites: sublimation phenomena and adaptive control

Grigoriev

Kozochkin

Porvatov

et al. 2019

Heliyon

View full text Add to dashboard Cite

The productivity of electrical discharge machining (EDM) is relatively low owing to the natural laws of electrical erosion. Precise EDM demands uninterrupted control of the discharge gap and adjustment of process parameters. It is particularly critical for processing large workpieces with complex linear surfaces and for materials with threshold conductivities such as the new advanced ceramic nanocomposites Al2O3+TiC and Al2O3+SiCw+TiC(30–40%). In these cases, adequate flushing of erosion products is hampered by the geometry of the working space or by the small value of the required discharge gap, which does not exceed 2.2–2.5 μm. The methods of adaptive control in modern computer numerical control systems of EDM equipment based on measuring the electrical parameters in the working zone have been shown to be ineffective in the cases described above. This study aims to investigate the natural phenomena of material sublimation under discharge pulses for conductive ceramics and nanocomposites. The measured conductivities of the samples are higher than the percolation threshold. However, the question of machinability remains open owing to detected processing interruptions and poor quality of machined surfaces. New knowledge on EDM of conductive ceramics and nanocomposites can improve the final quality of the machined surfaces and productivity of the method by the introduction of advanced monitoring and control methods based on acoustic emissions. The manuscript presents an up-to-date overview and current state of the research on the subject area. The obtained morphology of the samples and discussion of the findings complete the experimental part of the study. The scientific basis for a new type of adaptive control system is provided. This can improve the effectiveness of parameter control for machining conductive ceramics and nanocomposites and contribute to an increase in the EDM performance for the most critical cases.

show abstract

Section: Introductionmentioning

confidence: 99%

Electrical discharge machining of ceramic nanocomposites: sublimation phenomena and adaptive control

Grigoriev

Kozochkin

Porvatov

et al. 2019

Heliyon

View full text Add to dashboard Cite

show abstract

“…It should be noted that in almost all of these standards, both foreign and domestic, except for [29,30], the values of the normative values are determined on the basis of empirical experience and research that are not available for study and verifcation. Te boundary values of the states in [29,30] were determined based on the analysis of statistical data obtained from the databases of monitoring systems [7,[54][55][56][57][58][59] and the use of probabilistic and statistical decision-making methods [60][61][62][63][64][65][66].…”

Section: Assessment Of the General Level Of Vibration Parametersmentioning

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

View full text Add to dashboard Cite

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.

show abstract

“…Принципиально новым подходом к формированию критериев оценки состояния подшипников качения и поршневых компрессоров является использование такой вероятностной характеристики случайного процесса, как характеристическая функция виброакустических колебаний [18][19][20][21][22]. Такой подход предложен авторами в работе [23], а эффективность его применения подтверждена многочисленными исследованиями [19][20][21][22][23][24][25][26][27][28].…”

Section: постановка задачиunclassified

“…Опыт предыдущих исследований [19][20][21][22][23][24][25][26] позволяет сделать вывод, что сигналы принадлежат трем группам состояний: недопустимо (НДП), требует принятия мер (ТПМ), допустимо (Д, «Доп») [2,8].…”

Section: результаты экспериментовunclassified

“…1). Величины признаков разделяют состояния объекта контроля [21,24,26,27]. При этом производилась оценка вероятностей ложной тревоги и пропуска заданного состояния, а также риски принятия решений.…”

Section: обсуждение результатовunclassified

See 1 more Smart Citation

Probabilistic and Statistical Criterions for Assessing the Condition by Vibroacoustic Signal Parameters

Kudryavtseva¹,

Naumenko²,

Demin³

et al. 2019

DSMM

View full text Add to dashboard Cite

Assessment of Characteristic Function Modulus of Vibroacoustic Signal Given a Limit State Parameter of Diagnosed Equipment

Cited by 11 publications

References 7 publications

Electrical discharge machining of ceramic nanocomposites: sublimation phenomena and adaptive control

Electrical discharge machining of ceramic nanocomposites: sublimation phenomena and adaptive control

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

Probabilistic and Statistical Criterions for Assessing the Condition by Vibroacoustic Signal Parameters

Contact Info

Product

Resources

About