acoustic signal analysis
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Author(s):  
Roberto Outa ◽  
Fabio Roberto Chavarette ◽  
Vishnu Narayan Mishra ◽  
Aparecido Carlos Gonçalves ◽  
Adriana Garcia ◽  
...  

This work is of multidisciplinary concept, whose development is difficult to perform. Considering also that, in one of the steps, the similarity between the FRF of the vibration and acoustic signal is demonstrated. The objective of this work is the analysis and prognosis of the progression of failures of a pair of gears using the artificial immune system (AIS) of negative selection. In order to have this condition met, during the development of this work, the Wiener filter technique, the vibration and acoustic signal analysis (FRF), the application of negative selection AIS techniques for classification and grouping of signals were applied. The final result successfully demonstrates the effectiveness of the development process of this work and the robustness of the negative selection AIS algorithm.


Volcanica ◽  
2021 ◽  
Vol 4 (S1) ◽  
pp. 203-222
Author(s):  
Amilcar Roca ◽  
Edgar Roberto Mérida Boogher ◽  
Carla Maria Fernanda Chun Quinillo ◽  
Dulce María Esther González Domínguez ◽  
Gustavo Adolfo Chigna Marroquin ◽  
...  

The tectonic and volcanic environment in Guatemala is large and complex. Three major tectonic plates constantly interacting with each other, and a volcanic arc that extends from east to west in the southern part of the country, demand special attention in terms of monitoring and scientific studies. The Instituto Nacional de Sismología, Vulcanología, Meteorología e Hidrología (INSIVUMEH) is the institute in charge of executing these actions at the national and civil level.In recent years, INSIVUMEH has formed a volcanology team consisting of multi-disciplinary personnel that conducts the main volcanological monitoring and research activities. These activities include: seismic and acoustic signal analysis, evaluation and analysis of the volcanic hazards, installation and maintenance of monitoring equipment, and the socialization and dissemination of volcanic knowledge. Of all the volcanic structures in Guatemala, three volcanoes (Fuego, Pacaya, and Santiaguito) are in constant eruption and require all of the available resources (economic and human). These volcanoes present a wide range of volcanic hazards (regarding type and magnitude) that make daily monitoring a great challenge. One of the greatest goals achieved by the volcanology team has been the recent development of a Relative Threat Ranking of Guatemala Volcanoes, taking into account different parameters that allow improved planning in the future, both in monitoring and research. El ambiente tectónico y volcánico de Guatemala es extenso y complejo. Tres grandes placas tectónicas, que interactúan constantemente entre sí, y un arco volcánico, que se extiende de este a oeste en la parte sur del país, exigen especial atención en términos de monitoreo y estudios científicos. El Instituto Nacional de Sismología, Vulcanología, Meteorología e Hidrología (INSIVUMEH) es el instituto encargado de ejecutar estas acciones a nivel nacional y civil. En los últimos años, INSIVUMEH ha formado un equipo de vulcanología conformado por personal multidisciplinario que realiza las principales actividades de seguimiento e investigación vulcanológica. Estas actividades incluyen: análisis de señales sísmicas y acústicas, evaluación y análisis de peligros volcánicos, instalación y mantenimiento de equipos de monitoreo, y socialización y difusión del conocimiento volcánico. De todas las estructuras volcánicas de Guatemala, tres volcanes (Fuego, Pacaya y Santiaguito) están en constante erupción y requieren todos los recursos disponibles (económicos y humanos). Estos volcanes presentan una amplia gama de peligros volcánicos (en cuanto a tipo y magnitud), haciendo que el monitoreo diario sea un gran desafío. Uno de los mayores logros del equipo de vulcanología ha sido el desarrollo reciente de un Ranking de Peligrosidad Relativa de los Volcanes de Guatemala, tomando en cuenta diferentes parámetros que permitan una mejor planificación en el futuro, tanto en el monitoreo como en la investigación.


2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Pawel Komorski ◽  
Grzegorz M. Szymanski ◽  
Tomasz Nowakowski ◽  
Malgorzata Orczyk

Sensors ◽  
2020 ◽  
Vol 20 (17) ◽  
pp. 4870 ◽  
Author(s):  
Cătălin Dumitrescu ◽  
Marius Minea ◽  
Ilona Mădălina Costea ◽  
Ionut Cosmin Chiva ◽  
Augustin Semenescu

The purpose of this paper is to investigate the possibility of developing and using an intelligent, flexible, and reliable acoustic system, designed to discover, locate, and transmit the position of unmanned aerial vehicles (UAVs). Such an application is very useful for monitoring sensitive areas and land territories subject to privacy. The software functional components of the proposed detection and location algorithm were developed employing acoustic signal analysis and concurrent neural networks (CoNNs). An analysis of the detection and tracking performance for remotely piloted aircraft systems (RPASs), measured with a dedicated spiral microphone array with MEMS microphones, was also performed. The detection and tracking algorithms were implemented based on spectrograms decomposition and adaptive filters. In this research, spectrograms with Cohen class decomposition, log-Mel spectrograms, harmonic-percussive source separation and raw audio waveforms of the audio sample, collected from the spiral microphone array—as an input to the Concurrent Neural Networks were used, in order to determine and classify the number of detected drones in the perimeter of interest.


2020 ◽  
Vol 32 (3) ◽  
pp. 873
Author(s):  
Rong-Mao Lee ◽  
Yi-Hsing Yu ◽  
Cheng-Chi Wang ◽  
Tsung-Chia Chen ◽  
Pongpon Nilaphruek

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