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A robust sequential hypothesis testing method for brake squeal localisation

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Abstract
This contribution deals with the in situ detection and localisation of brake squeal in an automobile. As brake squeal is emitted from regions known a priori, i.e., near the wheels, the localisation is treated as a hypothesis testing problem. Distributed microphone arrays, situated under the automobile, are used to capture the directional properties of the sound field generated by a squealing brake. The spatial characteristics of the sampled sound field is then used to formulate the hypothesis tests. However, in contrast to standard hypothesis testing approaches of this kind, the propagation environment is complex and time-varying. Coupled with inaccuracies in the knowledge of the sensor and source positions as well as sensor gain mismatches, modelling the sound field is difficult and standard approaches fail in this case. A previously proposed approach implicitly tried to account for such incomplete system knowledge and was based on ad hoc likelihood formulations. The current paper builds upon this approach and proposes a second approach, based on more solid theoretical foundations, that can systematically account for the model uncertainties. Results from tests in a real setting show that the proposed approach is more consistent than the prior state-of-the-art. In both approaches, the tasks of detection and localisation are decoupled for complexity reasons. The localisation (hypothesis testing) is subject to a prior detection of brake squeal and identification of the squeal frequencies. The approaches used for the detection and identification of squeal frequencies are also presented. The paper, further, briefly addresses some practical issues related to array design and placement. (C) 2019 Author(s).
Keywords
Acoustics and Ultrasonics, Arts and Humanities (miscellaneous), INSTABILITY ANALYSIS, SPEECH ENHANCEMENT, NOISE, ALGORITHM

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MLA
Madhu, Nilesh, et al. “A Robust Sequential Hypothesis Testing Method for Brake Squeal Localisation.” JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA, vol. 146, no. 6, 2019, pp. 4898–912, doi:10.1121/1.5138608.
APA
Madhu, N., Gergen, S., & Martin, R. (2019). A robust sequential hypothesis testing method for brake squeal localisation. JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA, 146(6), 4898–4912. https://doi.org/10.1121/1.5138608
Chicago author-date
Madhu, Nilesh, Sebastian Gergen, and Rainer Martin. 2019. “A Robust Sequential Hypothesis Testing Method for Brake Squeal Localisation.” JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA 146 (6): 4898–4912. https://doi.org/10.1121/1.5138608.
Chicago author-date (all authors)
Madhu, Nilesh, Sebastian Gergen, and Rainer Martin. 2019. “A Robust Sequential Hypothesis Testing Method for Brake Squeal Localisation.” JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA 146 (6): 4898–4912. doi:10.1121/1.5138608.
Vancouver
1.
Madhu N, Gergen S, Martin R. A robust sequential hypothesis testing method for brake squeal localisation. JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA. 2019;146(6):4898–912.
IEEE
[1]
N. Madhu, S. Gergen, and R. Martin, “A robust sequential hypothesis testing method for brake squeal localisation,” JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA, vol. 146, no. 6, pp. 4898–4912, 2019.
@article{8644975,
  abstract     = {This contribution deals with the in situ detection and localisation of brake squeal in an automobile. As brake squeal is emitted from regions known a priori, i.e., near the wheels, the localisation is treated as a hypothesis testing problem. Distributed microphone arrays, situated under the automobile, are used to capture the directional properties of the sound field generated by a squealing brake. The spatial characteristics of the sampled sound field is then used to formulate the hypothesis tests. However, in contrast to standard hypothesis testing approaches of this kind, the propagation environment is complex and time-varying. Coupled with inaccuracies in the knowledge of the sensor and source positions as well as sensor gain mismatches, modelling the sound field is difficult and standard approaches fail in this case. A previously proposed approach implicitly tried to account for such incomplete system knowledge and was based on ad hoc likelihood formulations. The current paper builds upon this approach and proposes a second approach, based on more solid theoretical foundations, that can systematically account for the model uncertainties. Results from tests in a real setting show that the proposed approach is more consistent than the prior state-of-the-art. In both approaches, the tasks of detection and localisation are decoupled for complexity reasons. The localisation (hypothesis testing) is subject to a prior detection of brake squeal and identification of the squeal frequencies. The approaches used for the detection and identification of squeal frequencies are also presented. The paper, further, briefly addresses some practical issues related to array design and placement. (C) 2019 Author(s).},
  author       = {Madhu, Nilesh and Gergen, Sebastian and Martin, Rainer},
  issn         = {0001-4966},
  journal      = {JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA},
  keywords     = {Acoustics and Ultrasonics,Arts and Humanities (miscellaneous),INSTABILITY ANALYSIS,SPEECH ENHANCEMENT,NOISE,ALGORITHM},
  language     = {eng},
  number       = {6},
  pages        = {4898--4912},
  title        = {A robust sequential hypothesis testing method for brake squeal localisation},
  url          = {http://dx.doi.org/10.1121/1.5138608},
  volume       = {146},
  year         = {2019},
}

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