Application of a Bandpass Filter for the Active Vibration Control of High-Speed Rotors

Pawlenka, Miroslav; Mahdal, Miroslav; Tůma, Jiří; Bureček, Adam

doi:10.20855/ijav.2019.24.31515

Cited by 7 publications

(10 citation statements)

References 9 publications

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“…Accordingly, H s ð Þ must tend to zero when s approaches zero or infinity, not affecting the extremes of the elliptic arc. In this sense, a well-known function that meets the above requirements is given by 20,21…”

Section: Adjusting Parametermentioning

confidence: 99%

“…which corresponds to the expression of a band-pass filter centered in 1, where c 1 and c 2 are constants associated with the overall gain and selectiveness of the filter. This function is seen to have applications in mechanical vibrations 20 as well as in analog electronics. 21 The overall expression of the adjusted version of the elliptical curve method is therefore given by…”

Section: Adjusting Parametermentioning

confidence: 99%

“…Accordingly,

H ((), s)

must tend to zero when

s

approaches zero or infinity, not affecting the extremes of the elliptic arc. In this sense, a well‐known function that meets the above requirements is given by 20,21

H ((), s) goodbreak= \frac{c_{1} s}{s^{2} + c_{2} s + 1},

which corresponds to the expression of a band‐pass filter centered in 1, where

c_{1}

and

c_{2}

are constants associated with the overall gain and selectiveness of the filter. This function is seen to have applications in mechanical vibrations 20 as well as in analog electronics 21 .…”

Section: Adjusting Parametermentioning

confidence: 99%

“…In this sense, a well‐known function that meets the above requirements is given by 20,21

H ((), s) goodbreak= \frac{c_{1} s}{s^{2} + c_{2} s + 1},

which corresponds to the expression of a band‐pass filter centered in 1, where

c_{1}

and

c_{2}

are constants associated with the overall gain and selectiveness of the filter. This function is seen to have applications in mechanical vibrations 20 as well as in analog electronics 21 . The overall expression of the adjusted version of the elliptical curve method is therefore given by

{(\frac{σ_{a}}{A N_{f}^{m}})}^{2} goodbreak+ {(\frac{τ_{a}}{A^{'} N_{f}^{m *}})}^{2} goodbreak= 1 goodbreak+ \frac{c_{1} ((), \frac{τ_{a}}{σ_{a}})}{{(\frac{τ_{a}}{σ_{a}})}^{2} + c_{2} ((), \frac{τ_{a}}{σ_{a}}) + 1} .

…”

Section: Adjusting Parametermentioning

confidence: 99%

See 3 more Smart Citations

Evaluation of finite high cycle fatigue life of hard steels using the elliptical curve method

Castro

Araújo

Pereira

et al. 2023

Fatigue Fract Eng Mat Struct

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A direct relation where fatigue life can be determined as a function of macroscopic normal and shear stress amplitudes and is established. Using the Carpinteri & Spagnoli (C&S) criterion as a survey tool, elliptical‐level curves in the domain were revealed and further generalized, providing means to determine for any given combination. Predictions obtained through the elliptical curve method (E) were compared with experimental observations, as well as with predictions obtained from adapted versions of popular fatigue criteria, namely, Findley (F), Matake (M), McDiarmid (McD), Susmel & Lazzarin (S&L), C&S, and Papadopoulos (P). The proposed model delivered predictions in fair agreement with experimental observations, and its predictive capability was seen to be the best among all the considered criteria. Finally, a slight bias toward conservativeness was attenuated with the introduction of an adjusting parameter, further improving the predictive capability of the model.

show abstract

Section: Adjusting Parametermentioning

confidence: 99%

Section: Adjusting Parametermentioning

confidence: 99%

“…Accordingly,

H ((), s)

must tend to zero when

s

approaches zero or infinity, not affecting the extremes of the elliptic arc. In this sense, a well‐known function that meets the above requirements is given by 20,21

H ((), s) goodbreak= \frac{c_{1} s}{s^{2} + c_{2} s + 1},

which corresponds to the expression of a band‐pass filter centered in 1, where

c_{1}

and

c_{2}

are constants associated with the overall gain and selectiveness of the filter. This function is seen to have applications in mechanical vibrations 20 as well as in analog electronics 21 .…”

Section: Adjusting Parametermentioning

confidence: 99%

“…In this sense, a well‐known function that meets the above requirements is given by 20,21

H ((), s) goodbreak= \frac{c_{1} s}{s^{2} + c_{2} s + 1},

which corresponds to the expression of a band‐pass filter centered in 1, where

c_{1}

and

c_{2}

{(\frac{σ_{a}}{A N_{f}^{m}})}^{2} goodbreak+ {(\frac{τ_{a}}{A^{'} N_{f}^{m *}})}^{2} goodbreak= 1 goodbreak+ \frac{c_{1} ((), \frac{τ_{a}}{σ_{a}})}{{(\frac{τ_{a}}{σ_{a}})}^{2} + c_{2} ((), \frac{τ_{a}}{σ_{a}}) + 1} .

…”

Section: Adjusting Parametermentioning

confidence: 99%

See 2 more Smart Citations

Evaluation of finite high cycle fatigue life of hard steels using the elliptical curve method

Castro

Araújo

Pereira

et al. 2023

Fatigue Fract Eng Mat Struct

View full text Add to dashboard Cite

show abstract

“…The measurement was performed inside and outside the acoustic chamber, as shown in Figure 3, at a time when no product was tested, so that we could verify only the properties of the acoustic chamber, respectively the EN, as shown in Figure 4. The damping rate of the chamber depends on the shape and material of its tiling [32,33].…”

Section: Environmental Noise and Features Of The Anechoic Chambermentioning

confidence: 99%

Influence of Environmental Noise on Quality Control of HVAC Devices Based on Convolutional Neural Network

et al. 2021

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Testing the quality of manufactured products based on their sound expression is becoming popular nowadays. To maintain low production costs, the testing is processed at the end of the assembly line. Such measurements are affected considerably by the factory noise even though they are performed in anechoic chambers. Before designing the quality control algorithm based on a convolutional neural network, we do not know the influence of the factory noise on the success rate of the algorithm that can potentially be obtained. Therefore, this contribution addresses this problem. The experiments were undertaken on a synthetic dataset of heat, ventilation, and air-conditioning devices. The results show that classification accuracy of the decision-making algorithm declines more rapidly at a high level of environmental noise.

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Development of capacitive sensors for measuring vibrations and small displacements of a high-speed rotating machines for use in active vibration control systems

Pawlenka,

Škuta,

Tůma

et al. 2024

Sensors and Actuators A: Physical

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Application of a Bandpass Filter for the Active Vibration Control of High-Speed Rotors

Cited by 7 publications

References 9 publications

Evaluation of finite high cycle fatigue life of hard steels using the elliptical curve method

Evaluation of finite high cycle fatigue life of hard steels using the elliptical curve method

Influence of Environmental Noise on Quality Control of HVAC Devices Based on Convolutional Neural Network

Development of capacitive sensors for measuring vibrations and small displacements of a high-speed rotating machines for use in active vibration control systems

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