{"title":"Efficient Data Compression of Acoustic Signals in Rail Using Sparse Decomposition and Kurtosis-Guided Resampling","authors":"Guodong Yue, Jie Huang, Maobo Xiao, Dazhi Wang","doi":"10.1007/s40857-024-00337-9","DOIUrl":"10.1007/s40857-024-00337-9","url":null,"abstract":"<div><p>With the rapid advancement of modern railway technology, remote monitoring of rail safety has become increasingly important. The acoustic signal in the rail has become a key method for remote monitoring due to its long propagation distance and high speed. However, these acoustic signals face the challenge of large data volumes before transmission, necessitating effective compression. In this study, an innovative acoustic signal data dimension reduction method is proposed for acoustic emission signals with periodic pulse characteristics and narrow-band frequency domain features generated by wheel damage. It integrates sparse decomposition and kurtosis-guided resampling to compress these signals. The aim is to reduce the training time and dimensionality of the learning dictionary, thereby achieving sparse representation of the acoustic signal in the rail. In this method, the impact interval is determined using sliding window technology, and the data between adjacent impacts are down-sampled to significantly reduce the amount of signal data while retaining key impact characteristics. Furthermore, a Hankel matrix is used to organize the data after dimensionality reduction to optimize the subsequent sparse decomposition process. Using finite element simulation and experimental verification of service lines, this study systematically discusses the influence of various parameters on sparse decomposition and signal reconstruction. The experimental results show that, compared to the discrete cosine transform, wavelet compression algorithm, and piecewise aggregate approximation method, the proposed method not only retains the impact characteristics of the original acoustic signal but also achieves a higher compression ratio, demonstrating excellent performance and broad engineering application prospects. This study provides a novel and efficient signal processing technology for rail safety monitoring, contributing to the further development of railway safety monitoring technology.</p></div>","PeriodicalId":54355,"journal":{"name":"Acoustics Australia","volume":"53 1","pages":"65 - 82"},"PeriodicalIF":1.8,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145165100","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
César Abraham Luna Estrada, Alejandro Cuauhtémoc Ramírez Reivich
{"title":"Statistical Energy Analysis of Membrane-Type Acoustic Metamaterials in Double Wall Arrangements","authors":"César Abraham Luna Estrada, Alejandro Cuauhtémoc Ramírez Reivich","doi":"10.1007/s40857-024-00338-8","DOIUrl":"10.1007/s40857-024-00338-8","url":null,"abstract":"<p>Acoustic insulation has been a longstanding challenge, persisting into the 21st century despite theoretical advancements, notably in sectors like vehicular refinement. Structural density constraints have posed significant setbacks, driving the emergence of promising solutions such as metamaterials, particularly local resonance metamaterials, which have overcome prior limitations. These advancements have unveiled new possibilities, including membrane-type metamaterials and double-wall arrays, demonstrating encouraging results for acoustic insulation in lightweight structures. Concurrently, recent studies have explored numerical methods and analytical models to understand the behavior of vibroacoustic systems based on metamaterials. Despite promising advancements, further work is needed to develop analysis methods that comprehensively describe the behavior of these emerging noise control systems, particularly within the context of product development. Statistical Energy Analysis (SEA) stands out as a crucial technique in refining vibracoustic requirements and specifications during development schemes, contributing significantly to enhancing the quality, performance, and reliability of the final product. In the realm of metamaterial mechanics, coupling loss factors quantify the efficiency of energy transfer between subsystems. Various methods have been proposed for wave propagation analysis in metamaterials, notably the Plane Wave Expansion (PWE) method and the Transfer Matrix Method (TMM), each presenting advantages and disadvantages with implications for industrial applications. To address this, researchers have sought models to establish transmission factors for metamaterials, balancing simplifications with precision in vibroacoustic response description. Notably, efforts have been made to describe coupling loss factors in metamaterials, yet challenges persist in addressing acoustic volume interaction. This work aims to present a method for calculating coupling loss factors in acoustic insulation systems based on metamaterials within double-wall arrays, using a Potential-Dissipative Transmission Model (PDTM) with concentrated parameters. The study concludes that integrating the PDTM with SEA achieves a remarkable level of numerical precision in analyzing membrane-type metamaterials within double-wall configurations, particularly at operational frequencies exceeding membrane resonance. While acknowledging potential alternatives, such as hybridizing the TMM with impedance characterization, the PDTM shows promising initial approximations. Further exploration is warranted, particularly in refining methodologies for industrial applications, emphasizing the scalability and robustness of PDTM-based models. Notably, the PDTM demonstrates remarkable sensitivity in estimating metamaterial resonance frequencies, although efficacy may reduce near cavity resonance perturbations. Careful consideration of analytical methodology selection, especially concerni","PeriodicalId":54355,"journal":{"name":"Acoustics Australia","volume":"53 1","pages":"47 - 64"},"PeriodicalIF":1.8,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145162749","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Abundance Distribution Pattern of Zooplankton Associated with the Eastern Arabian Sea Monsoon System as Detected by Underwater Acoustics and Net Sampling","authors":"Shirin J. Jadhav, B. R. Smitha","doi":"10.1007/s40857-024-00336-w","DOIUrl":"10.1007/s40857-024-00336-w","url":null,"abstract":"<div><p>The abundance distribution pattern of zooplankton associated with the pre-upwelling and late-upwelling phase is assessed for the eastern Arabian Sea (EAS) summer system, using vessel-mounted moving Acoustic Doppler current profiler (ADCP) and the in situ zooplankton samples collected using plankton nets. The distribution pattern of zooplankton is observed to be regulated by physical factors such as coastal upwelling, circulation patterns, mesoscale eddies, regional stratification, the presence of subsurface chlorophyll-a maximum, etc. during different phases of the upwelling cycle. The volume backscattering strength, a proximate factor for the zooplankton biomass, is computed after deriving the appropriate sound absorption coefficient, slant range, and backscatter noise. The linear relation derived by enumerating the backscatter-to-zooplankton biomass relationship was stronger during the pre-upwelling phase (<i>r</i> = 0.58) but weaker during the late-upwelling phase (<i>r</i> = 0.25). The findings underscore the potential of ADCP backscatter as a reliable indicator of zooplankton biomass within the mixed layer depth of the EAS, especially in the stable, calm, early summer season. The derived equations for estimating biomass are log(B) = 5.39 + 0.05 <i> Sv</i> for pre-upwelling and log(B) = 3.10 + 0.02 <i> Sv</i> for late-upwelling. The reduced correlation later suggests that environmental changes, such as zooplankton size and composition shifts, may affect ADCP’s detection threshold, necessitating careful interpretation. The study shows fish larvae act as dominant scatterers due to their gas-bearing properties, reliably indicating proxies for zooplankton abundance across both upwelling phases. Fluid-like and elastic-shelled scatterers vary between phases, reflecting shifts in zooplankton composition and their impact on acoustic backscatter. The analysis of ADCP backscatter data tracks diel vertical migration (DVM) of zooplankton with significant concentrations at depths of up to approximately 80 m during night-time. This study identifies distinct vertical migration velocities with zooplankton ascending in the range of 7.2 cm/s during dusk and descending at 7.7 cm/s during dawn.</p></div>","PeriodicalId":54355,"journal":{"name":"Acoustics Australia","volume":"53 1","pages":"25 - 46"},"PeriodicalIF":1.8,"publicationDate":"2024-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145167128","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Drone Noise Management in New Zealand","authors":"Jeremy Trevathan, Rewa Satory, Joshua Luscombe","doi":"10.1007/s40857-024-00335-x","DOIUrl":"10.1007/s40857-024-00335-x","url":null,"abstract":"<div><p>The development of unmanned aerial vehicles continues to progress at pace. While these devices have been primarily used in research and hobby applications to date, there are increasing development efforts by companies interested in commercial applications where ‘drones’ would more commonly be deployed and encountered in the community. This paper considers the regulation of drone noise in the context of New Zealand’s Resource Management Act and seeks to examine how well the approaches traditionally used by acoustical engineers to quantify and manage environmental noise will cope with the widespread commercial use of drones. Drawing on recent experience providing advice to the aerospace sector in New Zealand, examples of the types of vertical and horizonal take-off drones which appear set for relatively imminent commercial use in New Zealand are discussed in general terms, along with indicative sound power levels and applications for these devices. How those situations may be managed in a typical District Plan context is then examined, along with the relevance of the concepts outlined in NZS6802:2008 Acoustics—Environmental Noise, NZS6805:1992 Airport Noise Management and Land Use Planning, NZS6807:1994 Noise Management and Land Use Planning for Helicopter Landing Areas, and case law such as Dome Valley District Residents’ Society v Rodney District Council.</p></div>","PeriodicalId":54355,"journal":{"name":"Acoustics Australia","volume":"52 3","pages":"339 - 348"},"PeriodicalIF":1.7,"publicationDate":"2024-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142778155","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Rógger L. T. Antunes, Márcio Borges-Martins, Giorgia Guagliumi, Valentina Zaffaroni-Caorsi
{"title":"Traffic Noise Affects Brazilian Mundo Novo Treefrog Calling Behavior","authors":"Rógger L. T. Antunes, Márcio Borges-Martins, Giorgia Guagliumi, Valentina Zaffaroni-Caorsi","doi":"10.1007/s40857-024-00331-1","DOIUrl":"10.1007/s40857-024-00331-1","url":null,"abstract":"<div><p>Anthropogenic disturbance, including noise, is a major cause of biodiversity decline worldwide. Especially in anurans, the effect of noise pollution is known to have major consequences on their reproduction since acoustic communication is an essential part of this process. In this study, we tested the effect of three levels of traffic noise (55 dB, 65 dB, and 75 dB) corresponding to three different distances from the road (200, 100, and 50 m, respectively) on the Brazilian Mundo Novo treefrog (<i>Boana marginata</i>). The results of the playback experiments showed an effect on call type B. More specifically, there was a decrease in the advertisement call rate, a reduction in the number of pulses, and a lengthening of the interval between pulses, particularly at 65 dB. These findings suggest that at distances of up to 100 m, the masking effect significantly influences acoustic communication on the species. However, a 55 dB stimulus—equal to 200 m from the road edge—did not change the call in this species, suggesting a minimal distance to implement noise-inflicting infrastructures. We recommend that new studies adopt sampling methods from this distance to refine the threshold of the traffic noise effect.</p></div>","PeriodicalId":54355,"journal":{"name":"Acoustics Australia","volume":"52 3","pages":"367 - 373"},"PeriodicalIF":1.7,"publicationDate":"2024-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s40857-024-00331-1.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142223885","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Statistical Properties of Train Vibration Spectra for Ground-Borne Noise Assessments","authors":"Dominik Duschlbauer, Michael Allan, James Nelson","doi":"10.1007/s40857-024-00334-y","DOIUrl":"10.1007/s40857-024-00334-y","url":null,"abstract":"<div><p>The train vibration levels at a receiver are primarily governed by the trackform and its offset from the tracks. For a given trackform and offset, however, there can still be a wide variation in vibration generated by trains depending on the wheel and rail surface conditions, composition of the fleet and train speeds. In Australia, policies for the assessment of ground-borne noise and vibration are generally focused on the 95th percentile of train pass-bys. The use of this statistical descriptor is equivalent to a 5% exceedance level, i.e. vibration from one in twenty trains can be expected to be greater. This paper analyses four vibration datasets measured in Australasia. Three sets were measured on busy metropolitan train networks with direct fixation tracks in tunnels, and one dataset was measured on a ballasted surface track. The study focuses on the calculation of 95th percentiles and the effect of dataset size on the resulting 95th percentile vibration levels. Statistical error bands are calculated as a function of the number of consecutive pass-bys used in the dataset which allows for estimating the potential risks associated with working with small datasets. The effect of different approaches for calculating the percentiles is also discussed.</p></div>","PeriodicalId":54355,"journal":{"name":"Acoustics Australia","volume":"52 3","pages":"411 - 422"},"PeriodicalIF":1.7,"publicationDate":"2024-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142181806","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Justin Malkki, Yendrew Yauwenas, Con Doolan, Danielle Moreau
{"title":"Comparison of Small Rotor Tonal and Random Noise Decomposition Methods","authors":"Justin Malkki, Yendrew Yauwenas, Con Doolan, Danielle Moreau","doi":"10.1007/s40857-024-00333-z","DOIUrl":"10.1007/s40857-024-00333-z","url":null,"abstract":"<div><p>This paper examines and compares methods of separating tonal and broadband components of the noise generated by small rotors as commonly found on small unmanned aerial systems (sUAS). Time synchronous analysis (TSA) methods with varying averaging algorithms, such as ensemble averaging (EA), exponential weighted moving averaging (EWMA) and Kalman filter averaging (KFA), are compared against themselves and against a cross-correlation-based method. The decomposition methods are used on noise measurements of a small isolated rotor under static operation and edgewise flight conditions at 10 m/s in the UNSW anechoic wind tunnel (UAT). The best method for isolating tones is TSA-EWMA and for isolating the broadband spectrum of noise is the cross-correlation method, based on the spectral reconstruction of the experimental data.\u0000</p></div>","PeriodicalId":54355,"journal":{"name":"Acoustics Australia","volume":"52 3","pages":"323 - 337"},"PeriodicalIF":1.7,"publicationDate":"2024-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s40857-024-00333-z.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142181805","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Numerical Investigation on Aerodynamic Noise Source Identification and Far-Field Noise Characteristics of the High-Speed Train Bogie Region","authors":"Jiawei Shi, Jiye Zhang, Tian Li","doi":"10.1007/s40857-024-00332-0","DOIUrl":"10.1007/s40857-024-00332-0","url":null,"abstract":"<div><p>The bogie region is one of the most important aerodynamic noise sources of high-speed trains. A thorough understanding of the generation mechanism and characteristics of bogie aerodynamic noise is the prerequisite for effective implementation of noise control measures. In this study, a delayed detached eddy simulation (DDES) is performed to solve the unsteady flow field around the bogie region, and an aerodynamic noise source identification method based on the integral solution of the Ffowcs Williams-Hawkings (FW-H) equation is adopted to determine the dipole and quadrupole sources distribution in the bogie region. The identification results of the two types of sources provide different understandings of the noise generation mechanism of the bogie region but determine the same flow structures closely associated with the bogie aerodynamic noise, which are the shear vortex structures formed at the rear edge of the cowcatcher and the front side edges of the bogie cavity. The flow field data obtained by DDES simulation is also used as input for the FW-H solver to calculate far-field noise, and the source contribution, spectrum characteristics and directivity of the far-field noise are analyzed. The results show that at a speed of 350 km/h, the aerodynamic noise in the bogie region is still dominated by dipole sources, and the contributions of the bogie itself and the bogie cavity to far-field noise are equally important despite the significant differences in their radiation characteristics.</p></div>","PeriodicalId":54355,"journal":{"name":"Acoustics Australia","volume":"52 3","pages":"375 - 391"},"PeriodicalIF":1.7,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142181807","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lili Ye, Xianzhong Wang, Weiguo Wu, Haoran Ma, Weijia Feng
{"title":"Numerical Simulation and Experimental Study of Aerodynamic Noise Reduction of Elbow Based on Leading- and Trailing-Edge Serrated Guide Vanes","authors":"Lili Ye, Xianzhong Wang, Weiguo Wu, Haoran Ma, Weijia Feng","doi":"10.1007/s40857-024-00330-2","DOIUrl":"10.1007/s40857-024-00330-2","url":null,"abstract":"<div><p>The leading-edge and trailing-edge serrated guide vanes, inspired by the silent flight of owl wings, were designed to reduce the aerodynamic noise produced by elbows in cruise. Using the acoustic finite element approach in conjunction with the large eddy simulation model, the aerodynamic noise produced by the elbow is calculated. Using an air piping test platform, this hybrid simulation technique is validated. Further simulation results showed that these two bionic guide vanes contributed to the decrease in the aerodynamic noise by streamlining the airflow and lowering the formation of laminar flow separation bubbles. In particular, the leading-edge serrated guide vane reduced noise by 4.6 dB, whereas the trailing-edge serrated guide vane reduced noise by 3.4 dB.</p></div>","PeriodicalId":54355,"journal":{"name":"Acoustics Australia","volume":"52 3","pages":"349 - 365"},"PeriodicalIF":1.7,"publicationDate":"2024-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142223893","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}