Experimentally vibration and noise analysis of two types of washing machines with a proposed neural network predictor

Kalkat, Menderes

doi:10.1016/j.measurement.2013.08.039

Cited by 12 publications

(4 citation statements)

References 6 publications

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“…효과적으로 밸브를 설계하기 위해서는 밸브 내 유체의 유동특성에 대해서 이해하는 것이 요구되는데, 예를 들어, 유체 내에서 발생 하는 공동(cavitation)은 소음(noise) 및 진동 (vibration) 을 유발할 뿐만 아니라 [3,4], 밸브의 중요한 성능 중 하나인 밸브 토크에 직접적인 영향을 미치게 된다 [5,6]. 또한, 작동유체 속에 존재할 수 있는 입자들은 밸브 부 품들의 침식마멸 (erosive wear) 을 유발할 수 있으며 [7,8], 특히, 밸브 개폐 시 발생하는 반복적인 접촉 미 끄럼 운동은 표면파손을 유발하여 표면 거칠기를 증가 시키고 [9], 나아가 심각한 마멸을 초래한다.…”

Section: 서 론unclassified

Wear Characteristics of Metal Ball and Seat for Metal-Seated Ball Valve

Bae¹,

Chung²

2016

Journal of the Korean Society of Tribologists and Lubrication E

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− The wear characteristics of metal ball and seat in a metal-seated ball valve significantly affect the performances such as leakage and valve torque. In this work, the wear characteristics of metal ball and seat are experimentally investigated. A stainless steel ball and seat with a high corrosion-resistant coating are prepared and a component level test was performed. The hardness and surface roughness of specimens cut from the metal ball and seat are measured before and after the test using a micro-Vickers hardness tester and confocal microscopy, respectively. In order to assess the wear characteristics, the surfaces of the specimens are carefully examined after the test. The confocal microscope data show that the surface roughness values of both the ball and seat increase by a factor of 3-4, which may lead to an increase in valve torque. However, the wear of the seat is found to be more significant than that of the ball. In addition, a comparison of the surfaces of the ball and seat before and after testing revealed that adhesive and abrasive wear are the major wear mechanisms. The results of this study may aid in the design of metal-seated ball valves from the tribological point of view.

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Section: 서 론unclassified

Wear Characteristics of Metal Ball and Seat for Metal-Seated Ball Valve

Bae¹,

Chung²

2016

Journal of the Korean Society of Tribologists and Lubrication E

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“…They gave a process for measuring the noise and vibrations of the different types of rollers; this process is based on the variation of the three high acceleration values as a function of the vibration frequency in the different directions (x, y, and z). In addition, Menderes [3] presents a dynamic multi-body system model of two commercial front-loading drum washing machines designed for the analysis of the acoustic performances linked to washing and spinning. This model was built using a theoretical-experimental methodology.…”

Section: Introductionmentioning

confidence: 99%

Experimental Measurement and Evaluation of the Noise Generated by Three Transmissions by Synchronous Belts of Type AT10, BAT10 and SFAT10

Merghache

Hamdi

Ghernaout

2021

Int. J. Precis. Eng. Manuf.

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Synchronous belt drives combine the advantages of simple belt drives (flat, trapezoidal or ridged) due to their low weight, low maintenance, large linear speed ranges and high transmission ratios with the advantages of chains: absence sliding, synchronized transmission of speed, low tensioning, etc. Thanks to the toothing of the belt which enters the corresponding one of the synchronous pulleys, there is direct transmission of the power without sliding as between two gears. This article develops an experimental study which makes it possible to see the influence of the angular speed, the engine torque and the setting tension on the impact noise of the belt teeth on the pulley teeth during meshing and vibrations of the free strands of the belt. We have measured the noise generated by three transmissions by synchronous belts of type AT10, BAT10 and SFAT10.

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“…Many feature extraction methods are known for various types of vibration signals, and the methods include statistical and spectral approaches, wavelets [5,6], psychoacoustic features [7], the Wigner-Vile distribution [8], empirical mode decomposition [9], chaotic vibration [10], and others. Classification methods include various statistical methods, neural and fuzzy logic based methods [11,12], and other modern machine learning methods, such as support vector machines [13,14] and, recently, deep learning approaches [15]. A broad overview of the numerous methods under the general title of natural computing, including neural networks, fuzzy logic, support vector machines, and other methods applicable to mechanical systems research, is provided in [16].…”

Section: Introductionmentioning

confidence: 99%

Semi-supervised vibration-based classification and condition monitoring of compressors

Potočnik

Govekar

2017

Mechanical Systems and Signal Processing

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Semi-supervised vibration-based classification and condition monitoring of the reciprocating compressors installed in refrigeration appliances is proposed in this paper. The method addresses the problem of industrial condition monitoring where prior class definitions are often not available or difficult to obtain from local experts. The proposed method combines feature extraction, principal component analysis, and statistical analysis for the extraction of initial class representatives, and compares the capability of various classification methods, including discriminant analysis (DA), neural networks (NN), support vector machines (SVM), and extreme learning machines (ELM). The use of the method is demonstrated on a case study which was based on industrially acquired vibration measurements of reciprocating compressors during the production of refrigeration appliances. The paper presents a comparative qualitative analysis of the applied classifiers, confirming the good performance of several nonlinear classifiers. If the model parameters are properly selected, then very good classification performance can be obtained from NN trained by Bayesian regularization, SVM and ELM classifiers. The method can be effectively applied for the industrial condition monitoring of compressors.

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Experimentally vibration and noise analysis of two types of washing machines with a proposed neural network predictor

Cited by 12 publications

References 6 publications

Wear Characteristics of Metal Ball and Seat for Metal-Seated Ball Valve

Wear Characteristics of Metal Ball and Seat for Metal-Seated Ball Valve

Experimental Measurement and Evaluation of the Noise Generated by Three Transmissions by Synchronous Belts of Type AT10, BAT10 and SFAT10

Semi-supervised vibration-based classification and condition monitoring of compressors

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