Testing a pump unit by identification measurements of vibration signals

Кошеков, К. Т.; Klikushin, Yu. N.; Kobenko, V. Yu.; Sof’ina, N. N.; Savostin, Alexey; Kashevkin, A. A.

doi:10.1134/s1061830916050041

Cited by 10 publications

(3 citation statements)

References 3 publications

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“…Используя формулу (1), в работе [13] был предложен способ, позволяющий оценивать относительное содержание регулярной компоненты сложного сигнала. Для примера, на рис.…”

Section: теорияunclassified

Identification Pattern Recognition Technique for Small-Size Underwater Objects

Kobenko¹,

Kosheekov²,

Кошекова³

et al. 2019

DSMM

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Аннотация. Описан метод распознавания образов подводных объектов, основанный на использовании идентификационных измерений, в результате которых получается число, количественно характеризующее форму какой-либо характеристики информативного сигнала. Вероятность распознавания и классификации подводных объектов определяется полнотой заранее созданной базы образов известных объектов, сформированной в соответствии с оценками сертифицированных экспертов. При базе данных в три образа вероятность распознавания составила более 80%. Полученные результаты, высокая чувствительность и отсутствие заметных краевых эффектов метода указывают на возможность реализации для гидролокаторов бокового обзора принципиально нового типа программного обеспечения, которое позволит повысить их интеллектуализацию в области распознавания и классификации подводных объектов. Ключевые слова: идентификационные измерения, распознавание образов, закон распределения, случайный сигнал, порядковая шкала, распознавание подводных объектов.

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Section: теорияunclassified

Identification Pattern Recognition Technique for Small-Size Underwater Objects

Kobenko¹,

Kosheekov²,

Кошекова³

et al. 2019

DSMM

Self Cite

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“…The choice of the goal is made correctly and quite often the goal is replaced by a task; the functions of the system are mistakenly replaced by means of achieving the goal. The problematic nature and key importance of this systemic project stage is considered in detail in the work of Nadler and Hibino [1]- [3].…”

Section: Introductionmentioning

confidence: 99%

Digital twins technology in the educational process of the aviation equipment repair

Kairat,

Ildar,

Karygash

et al. 2023

IJEECS

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<span>The article considers the digital transformation of the aviation industry based on twins of maintenance and repair. As a result of digitization, a set of documents and application software are formed in a virtual reality environment. The concept of a digital twin is presented in the context of a model-based system design of the helicopter maintenance process according to the technical regulations. Based on statistical modeling technologies, a model for assembling aircraft units has been developed, in which time characteristics are qualitative estimates of learning processes and the effectiveness of digital twins. The results of experimental studies based on the method of analysis of students' certification using digital twins in the assembly of aircraft units are presented. It has been established that at the production site of an aircraft repair enterprise it is effective to apply training at the first stage using digital twins, and at the second stage using real objects. Based on analytical and experimental studies, regression models are proposed for the relationship between the optimal number of trainings at the second stage and the relative coefficient of training time for successful training and certification of mechanics and electronics engineers.</span>

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“…In this method, image sensor was used to track the position of the laser beam and landmark on rotating object to obtain the vibration characteristics. An algorithm to measure the vibrations of a pump unit is reported by Koshekov et al (2016) for analyzing the working of the pump. In this method, vibration signals were collected by placing sensors at different locations of pump unit.…”

Section: Introductionmentioning

confidence: 99%

Estimation of Flow Rate Through Analysis of Pipe Vibration

Venkata

Navada

2018

Acta Mechanica Et Automatica

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In this paper, implementation of soft sensing technique for measurement of fluid flow rate is reported. The objective of the paper is to design an estimator to physically measure the flow in pipe by analysing the vibration on the walls of the pipe. Commonly used head type flow meter causes obstruction to the flow and measurement would depend on the placement of these sensors. In the proposed technique vibration sensor is bonded on the pipe of liquid flow. It is observed that vibration in the pipe varies with the control action of stem. Single axis accelerometer is used to acquire vibration signal from pipe, signal is passed from the sensor to the system for processing. Basic techniques like filtering, amplification, and Fourier transform are used to process the signal. The obtained transform is trained using neural network algorithm to estimate the fluid flow rate. Artificial neural network is designed using back propagation with artificial bee colony algorithm. Designed estimator after being incorporated in practical setup is subjected to test and the result obtained shows successful estimation of flow rate with the root mean square percentage error of 0.667.

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Testing a pump unit by identification measurements of vibration signals

Cited by 10 publications

References 3 publications

Identification Pattern Recognition Technique for Small-Size Underwater Objects

Identification Pattern Recognition Technique for Small-Size Underwater Objects

Digital twins technology in the educational process of the aviation equipment repair

Estimation of Flow Rate Through Analysis of Pipe Vibration

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