A tutorial example of duct acoustics mode detections with machine-learning-based compressive sensing

Skip Nav Destination

J. Acoust. Soc. Am. 146, EL342–EL346 (2019)

This article has been cited by the following articles in journals that are participating in CrossRef Cited-by Linking.

A hybrid approach for reconstruction of transonic buffet aerodynamic noise: Integrating random forest and compressive sensing algorithm

Qiao Zhang
Weiwei Zhang

Aerospace Science and Technology (2024) 152: 109379.

Dominant duct azimuthal acoustic mode detection considering failed wall-installed microphones with amplitude or phase measurement biases

Chenyu Zhang
Huiping Huang
Qiannan Xu
Youhong Xiao
Liang Yu
Kang Gao
Weikang Jiang

Applied Acoustics (2024) 225: 110201.

A probabilistic approach with hierarchical prior for duct acoustic mode identification of broadband noise

Ran Wang
Yue Bai
Mingjie Yu
Liang Yu
Guangming Dong

Mechanical Systems and Signal Processing (2024) 219: 111563.

Prediction model of aircraft hinge moment: Compressed sensing based on proper orthogonal decomposition

Qiao Zhang
Xuan Zhao
Kai Li
Xinwu Tang
Jifei Wu
Weiwei Zhang

Physics of Fluids (2024) 36 (7)

Duct modal identification considering statistical dependency via the Boltzmann machine

Xiaoping Zhou
Hao Li
Liang Yu
Chenyu Zhang
Ran Wang
Kang Gao
Weikang Jiang

Mechanical Systems and Signal Processing (2023) 204: 110799.

Broadband Acoustic Modal Identification by Array Nonsynchronous Measurements with One Reference

Ran Wang
Mingjie Yu
Yue Bai
Liang Yu
Guangming Dong

AIAA Journal 61, 4018 (2023)

Sparse Bayesian Learning with hierarchical priors for duct mode identification of tonal noise

Liang Yu
Yue Bai
Ran Wang
Kang Gao
Weikang Jiang

Journal of Sound and Vibration (2023) 560: 117780.

Duct mode identification in a statistical model via the Iterative Bayesian Focusing

Shichun Huang
Liang Yu
Weikang Jiang

Mechanical Systems and Signal Processing (2023) 186: 109842.

Modal analysis of in-duct fan broadband noise via an iterative Bayesian inverse approach

A. Pereira
Marc C. Jacob

Journal of Sound and Vibration (2022) 520: 116633.

An overview of testing methods for aeroengine fan noise

Huanxian Bu
Xun Huang
Xin Zhang

Progress in Aerospace Sciences (2021) 124: 100722.

Recovering reverberation interference striations by a conditional generative adversarial network

Bo Gao
Jie Pang
Xiaolei Li
Wenhua Song
Wei Gao

JASA Express Letters (2021) 1 (5)

Deep neural networks for waves assisted by the Wiener–Hopf method

Xun Huang

Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 476, 20190846 (2020)

A conceptual study of utilizing compressive-sensing-based fan noise mode detection for aeroengine prognostic and health management

Huanxian Bu
Xun Huang
Xin Zhang

The Journal of the Acoustical Society of America 148, 1063 (2020)

A tutorial example of duct acoustics mode detections with machine-learning-based compressive sensing

Resources

Explore

pubs.aip.org

Connect with AIP Publishing

A tutorial example of duct acoustics mode detections with machine-learning-based compressive sensing

Resources

Explore

pubs.aip.org

Connect with AIP Publishing

This Feature Is Available To Subscribers Only