Model of the Vibration Signal of the Vibrating Sieving Screen Suspension for Condition Monitoring Purposes

Michalak, Anna; Wodecki, Jacek; Drozda, Michał; Wyłomańska, Agnieszka

doi:10.3390/s21010213

Cited by 17 publications

(11 citation statements)

References 57 publications

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“…This method allows to detect and extract cyclic-impulsive signal (damage in bearing) in the presence of high amplitude noncyclic impulsive signal. Several other researchers have addressed the issue in this sense [19][20][21].…”

Section: Of 22mentioning

confidence: 99%

Modeling Impulsive Ball Mill Forces Effects on the Dynamic Behavior of a Single-Stage Gearbox

et al. 2022

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Gearboxes are frequently used in the mining industry, especially for power transmission between the electric drive and the ball mill; besides the extreme complexity of a ball mill gear transmission system, the fault diagnosis by vibration analysis can be easily distorted by the presence of impulsive noises due to the ball pulses on the mill shell. Although several works in the literature are related to the influence of an impulsive noise on the accuracy of the diagnosis, no dynamic model exists yet in the literature that can explain the influence of these forces on the dynamic behavior of gearboxes. This paper presents a new approach to determine the influence of the grinding forces in crack defects diagnosis. This approach is based on a hybrid numerical model of a 24-degree-of-freedom gearbox, simulating one gear train and two drive shafts. The impact forces of the mill drum are modelled by a discrete element method (DEM). The ball-filling rate (Fr), the mill speed (Nr), and the ball size (Db) are considered to study this phenomenon. The simulations results show by a time series representation, fast Fourier transform, and short-time Fourier transform (STFT), that the acceleration is significantly affected by the presence of the grinding forces, developing an impulsive noise due to the impact of the balls governed by the studied parameters.

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Section: Of 22mentioning

confidence: 99%

Modeling Impulsive Ball Mill Forces Effects on the Dynamic Behavior of a Single-Stage Gearbox

et al. 2022

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“…Other interesting applications include: physics [18][19][20][21][22], and biology [23][24][25][26][27]. The segmentation problems appear also in condition monitoring [28][29][30][31][32].…”

Section: Introductionmentioning

confidence: 99%

“…Interesting approaches used for the problem related to the changing of the location parameter (like mean) can be found in [33][34][35][36][37][38][39][40] while the methods for changing the scale parameter (like variance) are presented, for instance, in [33,[41][42][43][44][45][46][47][48]. A specific case is related to heavy-tailed processes [28][29][30][31] where we expect the impulsive behavior of the corresponding data. In that case, the simple statistics are useless.…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, the differences between processes are easy to find by visual inspection, but still the algorithmization of segmentation is challenging. Michalak et al [31] introduced examples of such heavy-tailed process in engineering, where mineral processing machines and vibration processing have been investigated. Other interesting examples are related to aircraft noise segmentation [49] and financial data analysis using non-stationary compound Poisson processes [50].…”

Section: Introductionmentioning

confidence: 99%

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Divergence-Based Segmentation Algorithm for Heavy-Tailed Acoustic Signals with Time-Varying Characteristics

Grzesiek

Gąsior

Wyłomańska

et al. 2021

Sensors

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Many real-world systems change their parameters during the operation. Thus, before the analysis of the data, there is a need to divide the raw signal into parts that can be considered as homogeneous segments. In this paper, we propose a segmentation procedure that can be applied for the signal with time-varying characteristics. Moreover, we assume that the examined signal exhibits impulsive behavior, thus it corresponds to the so-called heavy-tailed class of distributions. Due to the specific behavior of the data, classical algorithms known from the literature cannot be used directly in the segmentation procedure. In the considered case, the transition between parts corresponding to homogeneous segments is smooth and non-linear. This causes that the segmentation algorithm is more complex than in the classical case. We propose to apply the divergence measures that are based on the distance between the probability density functions for the two examined distributions. The novel segmentation algorithm is applied to real acoustic signals acquired during coffee grinding. Justification of the methodology has been performed experimentally and using Monte-Carlo simulations for data from the model with heavy-tailed distribution (here the stable distribution) with time-varying parameters. Although the methodology is demonstrated for a specific case, it can be extended to any process with time-changing characteristics.

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“…Many researchers deal with the problem of the steady-state operation of screens and numerical simulation DEM to simulate the material's behaviour on the screening board [21][22][23][24][25]. Some researchers have also attempted to develop a vibration measurement model that considers material disturbances [26,27]. Classic drive systems, due to flexible couplings, are characterized by a high value of vibration damping of the riddle, which significantly reduces the amplitude of vibrations during the transition through resonance.…”

Section: Introductionmentioning

confidence: 99%

Research on the New Drive of a Laboratory Screen with Rectilinear Vibrations in Transient States

et al. 2021

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The paper presents the results of research on the vibrating motion of a laboratory screen with a rectilinear (segmental) trajectory of vibrations during its start-up and braking. The investigations were carried out on a modernized stand equipped with a system of two vibrating motors applied in newer solutions of industrial screens, which are mounted directly on the riddle. The tests were carried out for three different frequencies using three-axis acceleration sensors. The analysed parameter was the increase in the amplitude of vibrations in transient states compared to the amplitude during the stable operation of the device. The maximum multiplication of the vibration amplitude of the classic drive system during start-up was 9.7 (mm/mm) in the vertical direction and 5.7 (mm/mm) for the new system. During braking, the maximum multiplication of the vibration amplitude of the classic drive system was 6.9 (mm/mm) vertically, while for the drive system with vibration motors, it was 11.4 (mm/mm). The absence of flexible couplings in the drive system reduces the damping of vibrations and increases the value of amplitude during the start-up and free braking of the machine. This does not have a major influence on the correct operation of the machine in a steady state. However, the use of the new drive system resulted in a significant reduction in power demand and shortened the start-up time, which has a positive effect on the operating costs of the machine.

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Model of the Vibration Signal of the Vibrating Sieving Screen Suspension for Condition Monitoring Purposes

Cited by 17 publications

References 57 publications

Modeling Impulsive Ball Mill Forces Effects on the Dynamic Behavior of a Single-Stage Gearbox

Modeling Impulsive Ball Mill Forces Effects on the Dynamic Behavior of a Single-Stage Gearbox

Divergence-Based Segmentation Algorithm for Heavy-Tailed Acoustic Signals with Time-Varying Characteristics

Research on the New Drive of a Laboratory Screen with Rectilinear Vibrations in Transient States

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