Active noise control for a washing machine

Mazur, Krzysztof; Wrona, Stanisław; Pawełczyk, Marek

doi:10.1016/j.apacoust.2018.11.010

Cited by 35 publications

(17 citation statements)

References 8 publications

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“…For the purpose of adaptive control, the multichannel leaky FxLMS algorithm [ 16 , 17 ] is used to update the coefficients of the control filter matrix,

. In order to ensure the correct dimensions for matrix multiplication, the elements in matrix

are rearranged, and the new

matrix is defined as:

where

, and the updated equation of control filter matrix can be expressed as:

where

is the step size of the feedforward control,

is the leakage factor of feedforward control, which is used to improve the robustness of the algorithm, and

is the estimated filtered reference signal

matrix, which can be represented as:

where

, and

represents the

th reference signal which is filtered by the estimated plant response between the

th secondary source and

th error microphone, which is equal to:

…”

Section: The Multichannel Shanc Systemmentioning

confidence: 99%

A Hybrid Active Noise Control System for the Attenuation of Road Noise Inside a Vehicle Cabin

Jia

Zheng

Zhou

et al. 2020

Sensors

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This paper proposed a local active control method for the reduction of road noise inside a vehicle cabin. A multichannel simplified hybrid active noise control (sHANC) system was first developed and applied to the rear left seat of a large sport utility vehicle (SUV). The attenuation capability of the sHANC system was investigated through simulations, using reference signals provided by accelerometers on the suspensions and bodywork of the vehicle and microphones on the floor of cabin, respectively. It was shown that compared to the traditional feedforward system, the sHANC system using either vibrational or acoustical reference signals can produce a significant suppression of the narrowband peak noise between 75 and 80 Hz, but the system lost the control capability in a range of 100–500 Hz when the acoustic signals were used as references. To reduce the practical implementation costs while maintaining excellent reduction performance, a modified simplified hybrid ANC (msHANC) system was further proposed, in which combined vibrational and acoustical signals were used as reference signals. The off-line analyses showed that four reference accelerometers can be substituted by ten microphones without compromising attenuation performance, with 3.7 dBA overall noise reduction being achieved. The effect of delays on the reduction performance of msHANC system was also investigated. The result showed that the msHANC system was more sensitive to the delays compared to the sHANC system if using only vibrational reference signals.

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“…For the purpose of adaptive control, the multichannel leaky FxLMS algorithm [ 16 , 17 ] is used to update the coefficients of the control filter matrix,

. In order to ensure the correct dimensions for matrix multiplication, the elements in matrix

are rearranged, and the new

matrix is defined as:

where

, and the updated equation of control filter matrix can be expressed as:

where

is the step size of the feedforward control,

is the leakage factor of feedforward control, which is used to improve the robustness of the algorithm, and

is the estimated filtered reference signal

matrix, which can be represented as:

where

, and

represents the

th reference signal which is filtered by the estimated plant response between the

th secondary source and

th error microphone, which is equal to:

…”

Section: The Multichannel Shanc Systemmentioning

confidence: 99%

A Hybrid Active Noise Control System for the Attenuation of Road Noise Inside a Vehicle Cabin

Jia

Zheng

Zhou

et al. 2020

Sensors

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“…In order to As shown in Figure 3 and Section 2.1.1, the internal noise was measured after measurement of the external noise ( Figure 5). The noise generated from the milling machine is released in many different directions, so it is structurally difficult to control the noise and its source [16]. In order to identify the noise source and to develop feasible noise control plans, the noise released to the outside was measured, and the internal structure was then examined.…”

Section: Analysis Of Noise Characteristicsmentioning

confidence: 99%

Application of Soundproofing Materials for Noise Reduction in Dental CAD/CAM Milling Machines

Song

Lim

Lee³

et al. 2020

Applied Sciences

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Soundproofing materials are widely used in various fields as a passive measure to reduce noise. Despite this, there have been a few studies on the application of soundproofing materials on medical equipment, which is the main cause of noise in a medical environment. Despite the increasing number of studies on active noise control for the noise reduction of machines, it is difficult to apply customized noise control—i.e., specific control measures according to the various characteristics of that noise—due to its high cost and low effectiveness. Therefore, research on passive noise control using soundproofing materials is required for effective noise control. The 3D CAD/CAM milling machine, which is an essential device in the digitalized dental environment, is causing various problems as a new noise source. This study investigated the noise of the milling machine and considered its characteristics in application of an efficient soundproofing material for noise reduction. Additionally, a soundproofing material performance test was conducted to select an appropriate soundproofing material based on the noise characteristics of the milling machine. As milling machines cause noise issues in hospitals, the study results were analyzed in considering practical aspects for immediate application to actual sale products. This study suggests that the application of Thinsulator and a triple soundproofing mat (butyl 100% + aluminum + sound-insulating material) is effective in the noise reduction of milling machines.

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“…The active control with the use of active casing was previously applied by the authors, and its efficiency was reported in many scientific articles, e.g., [20]. The authors applied active control also to real devices [21]. A theoretical study of a doublepanel rigid device casing was also provided, and mathematical models were developed as a result [22].…”

Section: Introductionmentioning

confidence: 99%

Vibroacoustical Performance Analysis of a Rigid Device Casing with Piezoelectric Shunt Damping

Mazur

Rzepecki

Pietruszewska

et al. 2021

Sensors

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Noise and vibration are common issues that may have a negative impact on human’s’ health. To minimize their consequences, several vibroacoustical methods may be employed. One well-known method is Piezoelectric Shunt Damping (PSD). Over the years, many approaches have been investigated, from passive, state switching circuits to active pulse-switching. In this paper, the authors propose three PSD implementations—passive Synchronized Switch Damping on Inductor (SSDI), semi-active SSDI and active Synchronized Switch Damping on Voltage source (SSDV)—for a single-panel structure mounted on a rigid-frame casing. The nine Macro Fiber Composite (MFC) elements were mounted on the plate based on preliminary simulations in FreeFEM. Then, the theoretical results were validated by an identification experiment. The main research is concentrated on the Sound Pressure Level (SPL) and structural vibrations reduction for selected frequencies. The active method provided the highest reduction of vibration—up to 5.5 dB for maximal possible loudspeaker level without overdrive and up to 7.5 dB for lower excitation levels.

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Active noise control for a washing machine

Cited by 35 publications

References 8 publications

A Hybrid Active Noise Control System for the Attenuation of Road Noise Inside a Vehicle Cabin

A Hybrid Active Noise Control System for the Attenuation of Road Noise Inside a Vehicle Cabin

Application of Soundproofing Materials for Noise Reduction in Dental CAD/CAM Milling Machines

Vibroacoustical Performance Analysis of a Rigid Device Casing with Piezoelectric Shunt Damping

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