Applied AcousticsPub Date : 2025-01-10DOI: 10.1016/j.apacoust.2024.110522
Qingyu Zhang , Jin Fu , Bin Qi , Nan Zou , Yongshuai Gao
{"title":"Single-beacon AUV navigation algorithm under period offset conditions","authors":"Qingyu Zhang , Jin Fu , Bin Qi , Nan Zou , Yongshuai Gao","doi":"10.1016/j.apacoust.2024.110522","DOIUrl":"10.1016/j.apacoust.2024.110522","url":null,"abstract":"<div><div>Underwater positioning and navigation technology is one of the key technologies for autonomous underwater vehicles to complete tasks efficiently. The navigation and positioning technology of single-beacon autonomous underwater vehicles has been highly valued because of its advantages such as simple and convenient placement. The existing implementation schemes are mainly based on arrival time information or arrival time difference information, and the prior knowledge they need includes synchronization time and signal cycle. However, due to the influence of the marine environment, such as low temperature and high pressure, the period of beacon transmission signal may be offset, resulting in navigation error increase or even failure. To solve this problem, this paper proposed a navigation method with looser application conditions, which is improved based on the TDOA algorithm, and it requires neither synchronization time nor signal cycle. Secondly, the influence of different motion trends on navigation accuracy and the influence of different measurement errors on the algorithm are analyzed by a full differential equation. Finally, the performance of the proposed algorithm is verified by simulation experiments and actual data. The results show that when the signal cycle is accurate, the accuracy of the proposed method is almost the same as that of the navigation algorithm based on TDOA; when the signal cycle offset leads to an increase in TDOA error or even failure, the method still has good adaptability and stability.</div></div>","PeriodicalId":55506,"journal":{"name":"Applied Acoustics","volume":"231 ","pages":"Article 110522"},"PeriodicalIF":3.4,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143095915","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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}
Applied AcousticsPub Date : 2025-01-10DOI: 10.1016/j.apacoust.2024.110527
Tao She , Haijian Shao , Xing Deng , Yingtao Jiang
{"title":"Design and analysis of a novel quantum-classical hybrid neural network for environmental sound classification","authors":"Tao She , Haijian Shao , Xing Deng , Yingtao Jiang","doi":"10.1016/j.apacoust.2024.110527","DOIUrl":"10.1016/j.apacoust.2024.110527","url":null,"abstract":"<div><div>In the field of Environmental Sound Classification (ESC), traditional deep learning methods face significant challenges in processing high-dimensional audio data. In response, this study innovatively proposes a quantum-classical hybrid neural network model—St-HQCNN. This model adeptly integrates the advantages of quantum superposition and quantum entanglement, which are fundamental to quantum computing, thereby significantly enhancing the model's ability to recognize and process complex sound data with greater robustness. Through the design of carefully crafted quantum circuits and misalignment reading mechanisms, St-HQCNN not only demonstrates outstanding classification performance on benchmark datasets such as UrbanSound8K, ESC-10, and ESC-50, achieving accuracy rates of 97.14%, 99.38%, and 93.75%, respectively, but also highlights the tremendous potential of quantum-enhanced neural networks in sound recognition tasks. The experimental results clearly reveal the substantial promise of quantum-assisted neural networks in this domain, laying the foundation for future research and practical applications. This study not only showcases the theoretical innovations of St-HQCNN but also focuses on its feasibility for real-world applications. Moving forward, we aim to explore the scalability of the model, address challenges in practical deployment, and advance the widespread use of quantum neural networks in the field of machine learning.</div></div>","PeriodicalId":55506,"journal":{"name":"Applied Acoustics","volume":"231 ","pages":"Article 110527"},"PeriodicalIF":3.4,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143095919","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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}
Applied AcousticsPub Date : 2025-01-10DOI: 10.1016/j.apacoust.2025.110537
Yulai Zhao , Zepeng Liu , Zhiwei Yang , Qingkai Han , Hui Ma
{"title":"Machinery fault diagnosis-oriented regularization for nonlinear system identification: Framework and applications","authors":"Yulai Zhao , Zepeng Liu , Zhiwei Yang , Qingkai Han , Hui Ma","doi":"10.1016/j.apacoust.2025.110537","DOIUrl":"10.1016/j.apacoust.2025.110537","url":null,"abstract":"<div><div>In this article, we propose a novel framework for machinery fault diagnosis based on nonlinear system identification, called Identification for Fault Diagnosis (I4FD) The focus and necessity of the framework is that it can mitigate the effects of external environmental changes and enhance diagnostic accuracy. The framework integrates regularized data-driven modeling and frequency analysis. During the modeling process, prior physical knowledge about the diagnostic target is incorporated through a penalty parameter, leading to fault diagnosis-oriented regularization (FDoR). FDoR tailors the model specifically for fault diagnosis (FD) applications, offering new insights into FD-oriented system identification. The regularized NARX modeling in this paper does not end when a model is built by using information in a period of time, but uses the updated data for continuous dynamic modeling. After the model is identified, frequency analysis is then used to extract model-based features, which change significantly when faults occur. The effectiveness of the I4FD framework is demonstrated through simulations and real cases, highlighting its advantages over traditional methods and its industrial potential.</div></div>","PeriodicalId":55506,"journal":{"name":"Applied Acoustics","volume":"231 ","pages":"Article 110537"},"PeriodicalIF":3.4,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143095916","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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}
Applied AcousticsPub Date : 2025-01-10DOI: 10.1016/j.apacoust.2024.110518
Fengyan Zhong, Zhicheng Li, Chao Yang
{"title":"Wideband raypath separation based on covariance matrix reconstruction","authors":"Fengyan Zhong, Zhicheng Li, Chao Yang","doi":"10.1016/j.apacoust.2024.110518","DOIUrl":"10.1016/j.apacoust.2024.110518","url":null,"abstract":"<div><div>The application of covariance matrix reconstruction based algorithms is motivated by the need to improve the separation accuracy of the grid-dependent compressive sensing method in the presence of grid mismatch. However, the existing published literatures are focused on the detection of narrowband acoustic signals (or raypaths). In this paper, a wideband covariance matrix construction based algorithm is proposed for the separation of wideband raypaths. First, a wideband covariance matrix model is developed to recover the Toeplitz matrix, which possesses low-rank and positive semi-definite (PSD) properties. The separation of raypaths is then achieved from the recovered matrix by applying a conventional subspace-based method. Results from simulation and tank experiment demonstrate that the proposed algorithm offers several advantages: (1) it enables the identification of wideband and coherent raypaths with high resolution, particularly when arrival times are close; (2) it significantly improves accuracy in the presence of grid mismatch, due to the absence of a predefined grid; and (3) it allows the detection of more raypaths than can be identified through the direct application of the interspectral matrix.</div></div>","PeriodicalId":55506,"journal":{"name":"Applied Acoustics","volume":"231 ","pages":"Article 110518"},"PeriodicalIF":3.4,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143095917","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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}
Applied AcousticsPub Date : 2025-01-10DOI: 10.1016/j.apacoust.2025.110530
Wenguang Zhao, Sahan Wasala, Tim Persoons
{"title":"Large eddy simulation for aeroacoustic prediction and characterization of electronics cooling axial fans under various operating conditions","authors":"Wenguang Zhao, Sahan Wasala, Tim Persoons","doi":"10.1016/j.apacoust.2025.110530","DOIUrl":"10.1016/j.apacoust.2025.110530","url":null,"abstract":"<div><div>This study provides a comprehensive investigation into the aerodynamic and aeroacoustic characteristics of a small-sized axial fan under various operating conditions, representing different system resistances in electronics cooling applications. A wall-resolved large eddy simulation (LES) approach, combined with the Ffowcs Williams-Hawkings (FW-H) acoustic analogy, is used to analyze the flow and noise characteristics for a realistic fan configuration. The numerical simulations are validated through comparison with experimental measurements, showing excellent agreement. The study reveals distinct flow and noise characteristics between normal and stall conditions of the fan. During normal operating conditions, paired inlet vortex tubes are observed due to the asymmetric inlet-rotor interaction. The flow structures near the blade tip, such as the inlet vortex tubes and tip vortices, exhibit higher coherence. However, during stall conditions, these structures become more disorganized. Additionally, laminar-turbulent separation and high leading-edge turbulence are observed during stall conditions, resulting in increased broadband noise level. Aeroacoustic analysis shows that tonal noise is more prominent during normal operating conditions, while broadband noise becomes more significant during stall conditions. The main tonal noise sources during normal conditions are the asymmetric inlet-rotor interaction and the rotor-stator interaction. On the other hand, the tip-gap noise serves as the primary source of broadband noise. During stall conditions, the leading-edge noise and flow separation noise become the main sources of broadband noise. The shroud noise significantly contributes to the tonal noise across all operating conditions. This study identifies the locations and dominant characteristics of the noise sources and analyzes the contributions of different noise sources to the overall fan noise.</div></div>","PeriodicalId":55506,"journal":{"name":"Applied Acoustics","volume":"231 ","pages":"Article 110530"},"PeriodicalIF":3.4,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143095813","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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}
Applied AcousticsPub Date : 2025-01-08DOI: 10.1016/j.apacoust.2024.110526
Feifei Pang , Zhengfu Ren , Haiyan Wang , Junqi Zhao
{"title":"Time-frequency analysis based on multi-resolution synchroextracting Chirplet transform in reverberant environments","authors":"Feifei Pang , Zhengfu Ren , Haiyan Wang , Junqi Zhao","doi":"10.1016/j.apacoust.2024.110526","DOIUrl":"10.1016/j.apacoust.2024.110526","url":null,"abstract":"<div><div>This paper addresses the problem of TF resolution of target echo with the strong reverberation interference. The multi-resolution synchroextracting Chirplet transform (MRSECT) is developed by incorporating an synchroextracting operator into the combination of multi-CTs with different window width. Moreover, the derivation of MRSECT is presented for the signals consisting of the target echo and reverberation. MRSECT overcomes the TF resolution limitation of CT, since it can obtain better TF concentration by combining multi-CTs with different parameters. By using an synchroextracting operator, the IF trajectories are extracted to further enhance the TF resolution of MRSECT and remove the undesired reverberation. Even for the signals with close time and frequency, MRSECT exhibits superior performance both in terms of TF resolution and reverberation suppression. Simulation and experiment results verify that MRSECT can effectively extract the highlights of the target echo with the interference of strong reverberation.</div></div>","PeriodicalId":55506,"journal":{"name":"Applied Acoustics","volume":"231 ","pages":"Article 110526"},"PeriodicalIF":3.4,"publicationDate":"2025-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143095910","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"The position of Gothic organs in Notre-Dame de Paris: An archeoacoustic simulation study","authors":"C. d'Alessandro , E.K. Canfield-Dafilou , S.S. Mullins , B.F.G. Katz","doi":"10.1016/j.apacoust.2024.110506","DOIUrl":"10.1016/j.apacoust.2024.110506","url":null,"abstract":"<div><div>This study examines the acoustic effects of Gothic pipe organ placement within the late medieval architecture of the Cathédrale Notre-Dame de Paris. A historically informed geometric acoustic model of the cathedral is used for numerical simulations. The liturgical choir and nave are furnished in a medieval style consistent with the period, including wooden stalls, tapestries, a rood screen, and walls enclosing the chancel. Historical evidence for the positions and dimensions of 14th- and 15th-century organs informs the modelled organ sound source used in the simulations. The acoustic effects of six organ positions (on the western tribune, as a swallow's nest on the south wall, on the rood screen, in the southern transept, and above the northern stalls in the choir), three elevation levels (ground level, triforium, and clerestory), and two occupancy conditions (occupied and unoccupied) are evaluated. Variations in sound pressure level (SPL) and centre time are analysed across the ground level. The results reveal significant effects of organ position on audibility, elevation on clarity, and occupancy on sound intensity and clarity. These findings inform discussions on the musical and political motivations behind organ placement in Gothic cathedrals and their acoustic implications.</div></div>","PeriodicalId":55506,"journal":{"name":"Applied Acoustics","volume":"231 ","pages":"Article 110506"},"PeriodicalIF":3.4,"publicationDate":"2025-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143095911","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Manipulating acoustic streaming in a droplet using a single surface acoustic wave transducer","authors":"Bingjin Jue , Kaining Wen , Tengfei Zheng , Yupei Qiao , Guangbin Zhang , Xiaofeng Zhang","doi":"10.1016/j.apacoust.2024.110517","DOIUrl":"10.1016/j.apacoust.2024.110517","url":null,"abstract":"<div><div>Acoustic manipulation offers a number of advantages, including non-contact operation, good biocompatibility, the elimination of the need for chemical biomarkers, and straightforward integration. These attributes render it a promising candidate for applications in materials science, precision engineering, and biomedical fields. However, the majority of acoustic manipulation techniques are unable to achieve diverse particle manipulation using a single sensor. In this paper, a multifunction micrometer-scale particle manipulation device based on a single interdigital transducer is proposed to manipulate acoustic streaming in a droplet. The interdigital transducer is equipped with arc-width variable fingers and is capable of being excited at multiple frequencies, thereby enabling the formation of different acoustic streams within a droplet. A finite element model of the device is constructed for the purpose of analysing its pressure distribution and a prototype transducer is subsequently fabricated. Diversity manipulation experiments are conducted using polystyrene (PS) particles of varying radii in a water droplet. The experimental results demonstrate that by modifying the frequency of the excitation signals, it is possible to manipulate the rotation of disparate particles. The combination of Acoustic Radiation Force (ARF) and acoustic streaming enables the performance of multifunctional particle operations, including rotation, separation, and directional movement, using a single surface acoustic wave transducer. This study presents a method for controlling acoustic streaming in a droplet with a simple device, which may have potential applications in drug delivery, particle sorting, and cell assembly.</div></div>","PeriodicalId":55506,"journal":{"name":"Applied Acoustics","volume":"231 ","pages":"Article 110517"},"PeriodicalIF":3.4,"publicationDate":"2025-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143095908","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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}
Applied AcousticsPub Date : 2025-01-03DOI: 10.1016/j.apacoust.2024.110520
Huan Li , Shuguang Zuo , Xudong Wu , Siyue Chen , Panxue Liu
{"title":"A finite element-analytical method for optimization of micro-perforated mufflers in electric two-stage centrifugal compressors considering inhomogeneous temperature","authors":"Huan Li , Shuguang Zuo , Xudong Wu , Siyue Chen , Panxue Liu","doi":"10.1016/j.apacoust.2024.110520","DOIUrl":"10.1016/j.apacoust.2024.110520","url":null,"abstract":"<div><div>The multi-chamber micro-perforated muffler (MCMPM) is widely applied for the noise control of electric two-stage centrifugal compressors (ETCCs) in fuel cell vehicles (FCVs), whose performance is closely related to the temperature changes at the inlet of the MCMPM caused by large speed variations of the ETCC. Therefore, it is of great significance to study the modeling method and transmission performance of the MCMPM considering the temperature changes and its inhomogeneous distribution inside it. In this paper, an acoustic and thermal experiment is first conducted to obtain the noise control target and the inlet temperature of MCMPMs. Results show that the temperature ranges from 288 K to 405 K with a variance of more than 100 K. The noise control target is also calculated by extracting 1st-4th order noise. Then, a finite element-analytical method (FEAM) is proposed based on a two-dimensional (2D) analytical model and the equivalent temperature coefficient from FEM results. The FEAM can predict the transmission loss (TL) of the MCMPM under high and inhomogeneous temperature conditions more accurately, which covers the noise control target of ETCCs. Finally, an MCMPM is optimized for better performance by adopting the FEAM and verified experimentally, demonstrating its accuracy and excellence. The proposed method in this paper is time-efficient and applicable in various conditions, which can provide guidance for the optimization of MCMPMs to achieve better noise control in FCVs.</div></div>","PeriodicalId":55506,"journal":{"name":"Applied Acoustics","volume":"231 ","pages":"Article 110520"},"PeriodicalIF":3.4,"publicationDate":"2025-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143095909","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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}
Applied AcousticsPub Date : 2025-01-03DOI: 10.1016/j.apacoust.2024.110521
Yuxing Li , Jingyi Li , Siwei Chen
{"title":"A new multi-domain entropy signal classification method","authors":"Yuxing Li , Jingyi Li , Siwei Chen","doi":"10.1016/j.apacoust.2024.110521","DOIUrl":"10.1016/j.apacoust.2024.110521","url":null,"abstract":"<div><div>Multi-scale permutation entropy (MPE) and convolutional neural network (CNN) signal classification methods are effective techniques. However, it still has limitations such as inaccurate calculation results and the ability to extract only signal time-domain features. To solve these problems, a classification method based on refined composite MPE (RCMPE) and CNN is first proposed, and the computational accuracy of MPE and CNN is enhanced by setting different starting points to obtain multiple coarse-grained subsequences, and furthermore, the RCMPE and CNN are proposed to be used in the classification of signals, time–frequency domain variation method was introduced, and a multi-domain entropy signal classification method based on RCMPE and CNN is proposed, called the multi-domain entropy signal classification method, which extracts signal features from time-domain, frequency-domain, and multiple time scales to perform classification. Simulation experiments show that RCMPE has the best feature extraction effect when the length of a single sample is greater than or equal to 4096. Actual experiments have shown that the multi domain entropy classification method based on RCMPE has the highest signal recognition rate in discriminating between ship radiated noise signals and mechanical failure signals, especially in distinguishing mechanical fault signals, with a recognition rate of 100%.</div></div>","PeriodicalId":55506,"journal":{"name":"Applied Acoustics","volume":"231 ","pages":"Article 110521"},"PeriodicalIF":3.4,"publicationDate":"2025-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143095907","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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}