Improved Variable Step Size Least Mean Square Algorithm for Pipeline Noise

Zhang, Xiaohui; Yang, Songnan; Liu, Yuanyuan; Zhao, Wei

doi:10.1155/2022/3294674

Cited by 10 publications

(12 citation statements)

References 38 publications

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“…While all three algorithms aim to reduce the difference between the expected and observed outputs by modifying the filter coefficients, their techniques and potency levels differ. The VFF-RLS approach has to a greater extent an advantage over the LMS algorithm [32][33][34][35][36][37][38][39][40][41]. The VFF-RLS algorithm converges quicker than the other two algorithms, making it suited to scenarios requiring rapid adaptation to changes in the input data.…”

Section: Contribution Of This Studymentioning

confidence: 99%

“…The VFF-RLS technique outperforms in non-stationary settings with varying statistical characteristics of input signals over time. Because of potential concerns with the step size parameter, the performance of the LMS, RLS, and VFF-RLS algorithms may decrease [36][37][38]. The need for dynamic modification of these variables, in particular, may have a significant influence on the algorithm's adaption rate.…”

Section: Formulation Of the Vff-rls-based Algorithmmentioning

confidence: 99%

See 1 more Smart Citation

FPGA-Based VFF-RLS Algorithm for Battery Insulation Detection in Electric Vehicles

Bukya,

Padma,

Kumar

et al. 2024

WEVJ

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As the adoption of electric vehicles (EVs) continues to rise, attention has switched to ensuring the safety of EV operations. The exponential growth in battery technology over the past several years has changed the face of energy storage and sparked a revolution in several industries. The degradation of battery insulation during regular use is a significant concern. The high voltage (HV) and current levels in HV electric vehicles pose a significant electrical threat.The advancement of electric vehicle technology has led to an increasing presence of HV electric equipment throughout the vehicle. The insulation strength and early health status detection of the batteries are essential in ensuring safety in EVs. This paper studies the different insulation detection techniques and the development of adaptive filter (AF) algorithms based on field-programmable gate arrays (FPGAs) for insulation detection. FPGAs are amongst the most accurate and fast detection techniques among all the insulation detection techniques used so far in electric vehicles. This study proposes an FPGA-based VFF-RLS algorithm for effectively implementing insulation detection in EVs. The experimental test results using FPGAs demonstrate that the proposed method can rapidly monitor changes in insulation resistance (IR). The VFFRLS-based FPGA technique works sufficiently well to reduce errors when dealing with variations in voltage and resistance conditions at the battery terminals.

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Section: Contribution Of This Studymentioning

confidence: 99%

Section: Formulation Of the Vff-rls-based Algorithmmentioning

confidence: 99%

FPGA-Based VFF-RLS Algorithm for Battery Insulation Detection in Electric Vehicles

Bukya,

Padma,

Kumar

et al. 2024

WEVJ

View full text Add to dashboard Cite

show abstract

“…C ′ (z) can estimate the statute of C(z) precisely which is required in the algorithm, and the two are approximately equal. Adding the estimation C ′ (z) of the secondary path transmission function improves the LMS algorithm and indeed becomes the essential difference between FXLMS and LMS algorithms [21][22][23][24][25][26][27][28][29][30].…”

Section: Fxlms Algorithmmentioning

confidence: 99%

Active Control for Marine Engine Room Noise Using an FXLMS Algorithm

Cao

2022

Scientific Programming

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The noise in the marine engine room has always been a major cause of disturbance and damage to sailors’ physical and mental health; however, the antinoise countermeasures were being ignored by the industry. To further reduce the noise in the marine engine room, the system structure of active noise control (ANC) and the theoretical basis of the least mean square (LMS) and filtered X least mean square (FXLMS) algorithm are studied. Based on the FXLMS algorithm ANC system, the simulation study of active noise control in the marine engine room of a multigas carrier is carried out. According to the simulation results by the diagrams plotted on the time domain and spectrum, the ANC systems with the FXLMS algorithm can effectively reduce the noise in the marine engine room by about 20 dB, especially for the peak low-frequency range of 20–500 Hz with a large antinoise effect.

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“…ANC of low-frequency air-conditioning sound in pipes is carried out using a variable-step FXLMS algorithm posses an arctangent function. Compared with the traditional FXLMS algorithm, it notable raise the convergence speed, and the maximum noise reduction amount reaches 17dB [3]. In [4], a frequency-domain ANC algorithm is proposed to reduce the acoustic noise in magnetic resonance image formation.…”

Section: Introductionmentioning

confidence: 99%

An adjustable active noise control algorithm based on Bark scale

Hu²,

Chen³

et al. 2023

J. Phys.: Conf. Ser.

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An adjustable active noise control algorithm is proposed based on human auditory perception. Because of the FELMS algorithm, the Bark scale decomposition is used for simulating the decomposition of the human ears to the acoustic signal, and the real time response of the human ears to the noise is calculated. Residual filter is designed based on this real-time response so that the noise reduction effect is more in line with the human beings auditory perception. In the meantime, the adjustment parameter is set to adjust the amplitude-frequency response of the designed residual filter so that the noise reduction effect can be adjusted artificially under the condition of preserving the noise characteristics. Computer simulation results show that, match with the convention FXLMS algorithm, the algorithm put forward in this paper makes the residual noise, and the original noise has a similar energy change trend in Barks. This algorithm makes the noise reduction effect more aligned with the human auditory perception. It can retain the noise characteristics and artificially adjust the noise reduction effect.

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Improved Variable Step Size Least Mean Square Algorithm for Pipeline Noise

Cited by 10 publications

References 38 publications

FPGA-Based VFF-RLS Algorithm for Battery Insulation Detection in Electric Vehicles

FPGA-Based VFF-RLS Algorithm for Battery Insulation Detection in Electric Vehicles

Active Control for Marine Engine Room Noise Using an FXLMS Algorithm

An adjustable active noise control algorithm based on Bark scale

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