Active reduction of noise transmitted into and from enclosures through encapsulated structures

MSCA (Marie Skłodowska-Curie)HORIZON-TMA-MSCA-DNID: 101073037
EC Contribution
€25,222
Consortium Size
12 orgs
Start Year
2022
Summary

To better reduce exposure of people to noise and increase their acoustic comfort, innovative noise barriers should be developed. The overarching aim of IN-NOVA is to provide a top-level training for 10 Doctoral Candidates (DC) - MSCA Fellows plus 3 DCs funded by UK (supervised by UCL - 1 DC and UOS - 2DCs), in a wide variety of cutting-edge noise control technologies, developing a new generation of creative and entrepreneurial innovators. The DCs will benefit from a unique soft-skills training programme that will kick-start their careers as highly employable professionals. To reach these goals, IN-NOVA has pooled the interdisciplinary, complementary and multisectoral expertise of leading research universities and innovative global companies in the fields of acoustics, vibration, materials engineering, signal processing, and control sciences, represented by outstanding researchers and practitioners. All SRs will get strong intertwining academic and non-academic supervision to jointly develop novel, complete concepts for innovative barriers to reduce noise transmitted into and from enclosures through encapsulated structures (dual problems), thus creating a more pleasant and healthier local soundscape in workplaces and leisure areas as well as in car and aircraft cabins. They will use structural design, destructive interference of waves, holistic approaches to soundscape forming, metamaterials, and employ advanced combined active, novel passive and semi-active technologies. The IN-NOVA research, training and outreach activities will have an important and lasting impact on the DCs, members of the consortium, individual people, society, environment, international scientific community, industry, policy makers, and on the EU as a whole. It will propose first standards and labelling rules for active noise control systems. It will also make possible reduction of mineral resources and energy consumption due to reduced weight of the structures. The project is fully consistent with EU, WHO and UNESCO policy declared in numerous acts.

Consortium (12)

Project Results (26)

Source: CORDIS, the EU research results database.

Publications (13)
Low-Complexity Machine Learning Models for Active Noise Control in Nonlinear Systems
IEEE Open Journal of Signal Processing· 2026DOI
Miguel Ferrer, María de Diego, Alberto Gonzalez
A new multisource information domain adaption network based on domain attributes and features transfer for cross-domain fault diagnosis
Mechanical Systems and Signal Processing· 2024DOI
Yu, Yue; Karimi, Hamid Reza; Shi, Peiming; Peng, Rongrong; Zhao, Shuai
A universal multi-source domain adaptation method with unsupervised clustering for mechanical fault diagnosis under incomplete data
Neural networks· 2024DOI
Tian, Jinghui; Han, Dongying; Karimi, Hamid Reza; Zhang, Yu; Shi, Peiming
Filtered-X Quasi Affine Projection Algorithm for Active Noise Control Networks
IEEE/ACM Transactions on Audio, Speech, and Language Processing· 2024DOI
Miguel Ferrer, María de Diego, Alberto Gonzalez
Selective Collaboration in Distributed FxLMS Active Noise Control Systems
Digital Signal Processing· 2024DOI
Víctor M. García-Mollá, Miguel Ferrer, Maria de Diego, Alberto Gonzalez
An explainable intelligence fault diagnosis framework for rotating machinery
Neurocomputing· 2023DOI
Daoguang Yang; Hamid Reza Karimi; Len Gelman
DualLSTM: A novel key-quality prediction for a hierarchical cone thickener
Control Engineering Practice· 2023DOI
Lei, Yongxiang; Karimi, Hamid Reza
Fixed-time periodic stabilization of discontinuous reaction–diffusion Cohen–Grossberg neural networks
Neural networks· 2023DOI
Kong, Fanchao; Zhu, Quanxin; Karimi, Hamid Reza
Guest Editorial: Recent advances in reliable control and cost-effective engineering design for autonomous systems
Control Engineering Practice· 2023DOI
Karimi, Hamid Reza; Wang, Ning; Roveda, Loris; Wilson, Philip A.
Integrated learning self-triggered control for model-free continuous-time systems with convergence guarantees
Engineering Applications of Artificial Intelligence· 2023DOI
Haiying Wan; Hamid Reza Karimi; Xiaoli Luan; Shuping He; Fei Liu
Low Cost Variable Step-Size LMS With Maximum Similarity to the Affine Projection Algorithm
IEEE Open Journal of Signal Processing· 2023DOI
Miguel Ferrer; María de Diego; Alberto Gonzalez
Sound radiation of a vibrating circular plate set in a hemispherical enclosure
Journal of Sound and Vibration· 2023DOI
Rdzanek, W. P., Janssen, A. J., Szemela, K., Pawelczyk, M.
How to deal with the complexity in robotic systems?
Complex Engineering Systems· 2022DOI
Karimi, Hamid Reza
Deliverables (12)
Other Results (1)
Periodic Reporting for period 1 - IN-NOVA (Active reduction of noise transmitted into and from enclosures through encapsulated structures)