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    Tytuł:
    A Multistage Procedure of Mobile Vehicle Acoustic Identification for Single-Sensor Embedded Device
    Autorzy:
    Astapov, S.
    Riid, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/227146.pdf
    Data publikacji:
    2013
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    vehicle identification
    acoustic signal analysis
    feature extraction
    classification
    fuzzy logic
    Opis:
    Mobile vehicle identification has a wide application field for both civilian and military uses. Vehicle identification may be achieved by incorporating single or multiple sensor solutions and through data fusion. This paper considers a single-sensor multistage hierarchical algorithm of acoustic signal analysis and pattern recognition for the identification of mobile vehicles in an open environment. The algorithm applies several standalone techniques to enable complex decision-making during event identification. Computationally inexpensive procedures are specifically chosen in order to provide real-time operation capability. The algorithm is tested on pre-recorded audio signals of civilian vehicles passing the measurement point and shows promising classification accuracy. Implementation on a specific embedded device is also presented and the capability of real-time operation on this device is demonstrated.
    Źródło:
    International Journal of Electronics and Telecommunications; 2013, 59, 2; 151-160
    2300-1933
    Pojawia się w:
    International Journal of Electronics and Telecommunications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    The 8AE-PD computer measurement system for registration and analysis of acoustic emission signals generated by partial discharges in oil power transformers
    Autorzy:
    Witos, Franciszek
    Opilski, Zbigniew
    Szerszeń, Grzegorz
    Setkiewicz, Maciej
    Powiązania:
    https://bibliotekanauki.pl/articles/220623.pdf
    Data publikacji:
    2019
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    acoustic emission
    partial discharge
    multichannel system
    acoustic signal detection
    acoustic signal processing
    signal analysis
    voltage preamplifier
    Opis:
    A computer measurement system, designed and built by authors, dedicated to location and description of partial discharges (PD) in oil power transformers examined by means of the acoustic emission (AE) method is presented. The measurement system is equipped with 8 measurement channels and ensures: monitoring of signals, registration of data in real time within a band of 25-1000 kHz in laboratory and real conditions, basic and advanced analysis of recorded signals. The basic analysis carried out in the time, frequency and time-frequency domains deals with general properties of the AE signals coming from PDs. The advanced analysis, performed in the discrimination threshold domain, results in identification of signals coming from different acoustic sources as well as location of these sources in the examined transformers in terms of defined by authors descriptors and maps of these descriptors on the side walls of the tested transformer tank. Examples of typical results of laboratory tests carried out with the use of the built-in measurement system are presented.
    Źródło:
    Metrology and Measurement Systems; 2019, 26, 2; 403-418
    0860-8229
    Pojawia się w:
    Metrology and Measurement Systems
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Diagnostics of Synchronous Motor Based on Analysis of Acoustic Signals with the use of Line Spectral Frequencies and K-nearest Neighbor Classifier
    Autorzy:
    Glowacz, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/176610.pdf
    Data publikacji:
    2014
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    acoustic signal
    pattern analysis
    synchronous motor
    diagnostics
    Opis:
    In industrial processes electrical motors are serviced after a specific number of hours, even if there is a need for service. This led to the development of early fault diagnostic methods. Paper presents early fault diagnostic method of synchronous motor. This method uses acoustic signals generated by synchronous motor. Plan of study of acoustic signal of synchronous motor was proposed. Two conditions of synchronous motor were analyzed. Studies were carried out for methods of data processing: Line Spectral Frequencies and K-Nearest Neighbor classifier with Minkowski distance. Condition monitoring is useful to protect electric motors and mining equipment. In the future, these studies can be used in other electrical devices.
    Źródło:
    Archives of Acoustics; 2014, 39, 2; 189-194
    0137-5075
    Pojawia się w:
    Archives of Acoustics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Fault diagnostics of DC motor using acoustic signals and MSAF-RATIO30-EXPANDED
    Autorzy:
    Glowacz, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/140582.pdf
    Data publikacji:
    2016
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    acoustic signal
    analysis
    diagnostic
    DC motor
    machine
    Opis:
    An early fault diagnostic method of Direct Current motors was presented in this article. The proposed method used acoustic signals of a motor. A method of feature extraction called MSAF-RATIO30-EXPANDED (method of selection of amplitudes of frequencies – ratio 30% of maximum of amplitude – expanded) was presented and implemented. An analysis of proposed method was carried out for early fault states of a real DC motor. Four following states of the DC motor were measured and analyzed: the healthy DC motor, DC motor with 3 shorted rotor coils, DC motor with 6 shorted rotor coils, DC motor with a broken coil. Measured states were caused by natural degradation of the DC motor. The obtained results of analysis were good. The presented early fault diagnostic method can be used for protection of DC motors.
    Źródło:
    Archives of Electrical Engineering; 2016, 65, 4; 733-744
    1427-4221
    2300-2506
    Pojawia się w:
    Archives of Electrical Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Voice Traces of Anxiety : Acoustic Parameters Affected by Anxiety Disorder
    Autorzy:
    Özseven, T.
    Düğenci, M.
    Doruk, A.
    Kahraman, H. İ.
    Powiązania:
    https://bibliotekanauki.pl/articles/176475.pdf
    Data publikacji:
    2018
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    anxiety
    acoustic analysis
    signal processing
    speech processing
    Opis:
    Although the emotions and learning based on emotional reaction are individual-specific, the main features are consistent among all people. Depending on the emotional states of the persons, various physical and physiological changes can be observed in pulse and breathing, blood flow velocity, hormonal balance, sound properties, face expression and hand movements. The diversity, size and grade of these changes are shaped by different emotional states. Acoustic analysis, which is an objective evaluation method, is used to determine the emotional state of people’s voice characteristics. In this study, the reflection of anxiety disorder in people’s voices was investigated through acoustic parameters. The study is a case-control study in cross-sectional quality. Voice recordings were obtained from healthy people and patients. With acoustic analysis, 122 acoustic parameters were obtained from these voice recordings. The relation of these parameters to anxious state was investigated statistically. According to the results obtained, 42 acoustic parameters are variable in the anxious state. In the anxious state, the subglottic pressure increases and the vocalization of the vowels decreases. The MFCC parameter, which changes in the anxious state, indicates that people can perceive this situation while listening to the speech. It has also been shown that text reading is also effective in triggering the emotions. These findings show that there is a change in the voice in the anxious state and that the acoustic parameters are influenced by the anxious state. For this reason, acoustic analysis can be used as an expert decision support system for the diagnosis of anxiety.
    Źródło:
    Archives of Acoustics; 2018, 43, 4; 625-636
    0137-5075
    Pojawia się w:
    Archives of Acoustics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Acoustical Analysis of Enclosure as Initial Approach to Vehicle Induced Noise Analysis Comparatevely Using STFT and Wavelets
    Autorzy:
    Błażejewski, A.
    Kozioł, P.
    Łuczak, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/176551.pdf
    Data publikacji:
    2014
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    modal analysis
    short-time Fourier transform
    wavelet transform
    acoustic signal processing
    Opis:
    It is assumed in the paper that the signals in the enclosure in a transient period are similar to a noise induced by vehicles, tracks, cars, etc. passing by. The components of such signals usually points out specific dynamic processes running during the observation or measurements. In order to choose the best method of analysis of these phenomena, an acoustic field in a closed space with a sound source inside is created. Acoustic modes of this space influence the sound field. Analytically, the modal analyses describe the above mentioned phenomena. The experimental measurements were conducted in the room that might comprise the closed space with known boundary conditions and the sound source Br¨uel & Kjær Omni-directional type 4292 inside. To record sound signals before the field’s steady state was reached, the microphone type 4349 and the 4-channel frontend 3590 had been used. The obtained signals have been analysed by using two approaches, i.e. Fourier and the wavelet analysis, with the emphasis on their efficiency and the capability to recognise important details of the signal. The results obtained for the enclosure might lead to the formulation of a methodology for an extended investigation of a rail track or vehicles dynamics.
    Źródło:
    Archives of Acoustics; 2014, 39, 3; 385-394
    0137-5075
    Pojawia się w:
    Archives of Acoustics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    On use of acoustic emission in monitoring of under and over abrasion during a water jet milling process
    Autorzy:
    Mikler, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/100049.pdf
    Data publikacji:
    2014
    Wydawca:
    Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
    Tematy:
    water jet abrasive milling
    acoustic emission
    signal analysis
    water jet abrasive process control
    Opis:
    Water jet milling process is a new emerging technology with many interesting applications. Low cutting forces, no thermal distortion, process flexibility and ability to machine difficult to cut materials make it very attractive for many technological operations. However, its wider application is hindered by lack of proper solutions of process monitoring that would allow accurate control of the material removal process. The research contributions so far focused on use of acoustic emission, thus the purpose of this paper is an evaluation of the proposed strategies and analysis of applicability of acoustic emission for this purpose. An extensive amount of AE data was collected during waterjet machining with various feed rates, abrasive flows, and pump pressures, and analyzed with the aim to determine whether there exists any feature of the AE signal correlated with under- and over abrasion. Monitoring and control of removal rate is possible only if it is possible to discriminate between AE signal samples originating from different states of the abrasive process. In this paper I present results based on extensive one-way ANOVA study of the AE samples, showing, that the standard AE signal features proposed in the literature the energy and statistics of the AE signal do not allow such discrimination, and are not suitable to monitor abnormalities of the abrasive process. The research covers also principle component analysis of the AE signal energy performed in the aim to study if there exists any subset of the energy allowing better discrimination between the investigated process states.
    Źródło:
    Journal of Machine Engineering; 2014, 14, 2; 104-115
    1895-7595
    2391-8071
    Pojawia się w:
    Journal of Machine Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Zastosowanie analizy MUSIC do oceny sygnałów zakłócających pomiary diagnostyczne układów izolacyjnych metodą emisji akustycznej
    Application of the MUSIC analysis for evaluation of the signals interfering diagnostic measurements of insulation systems using acoustic emission method
    Autorzy:
    Boczar, T.
    Powiązania:
    https://bibliotekanauki.pl/articles/275014.pdf
    Data publikacji:
    2010
    Wydawca:
    Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
    Tematy:
    wyładowania niezupełne
    metoda emisji akustycznej
    sygnał zakłócający
    analiza sygnałów
    partial discharges
    acoustic emission method
    interfering signal
    signal analysis
    Opis:
    W artykule zostaną przedstawione wyniki analizy pseudospektralnej (Pseudo-Spectral Analysis) uzyskane dla akustycznych sygnałów zakłócających. Analizowane będą źródła zakłóceń, które mogą występować podczas pomiarów diagnostycznych układów izolacyjnych wykonywanych on-line metodą emisji akustycznej podczas normalnej eksploatacji transformatorów elektroenergetycznych. Uzyskane wyniki zostaną porównane z rezultatami otrzymanymi przy zastosowaniu transformaty Fouriera (Fast Fourier Transform).
    This paper discusses the problems connected with frequency analysis and multiple signal classification (MUSIC) of disturbances that can accompany the measurements of partial discharges in industrial conditions using the acoustic emission method. It presents different kinds of interfering signals that can deform the measured acoustic emission signals generated by partial discharges in electric power devices. In addition, it includes the results of the measurements and frequency and MUSIC analyses of interfering signals in the form of power density spectra and of pseudo-spectrum.
    Źródło:
    Pomiary Automatyka Robotyka; 2010, 14, 12; 79-83
    1427-9126
    Pojawia się w:
    Pomiary Automatyka Robotyka
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Journal bearing performance prediction using machine learning and octave-band signal analysis of sound and vibration measurements
    Autorzy:
    Moschopoulos, Marios
    Rossopoulos, Georgios N.
    Papadopoulos, Christos I.
    Powiązania:
    https://bibliotekanauki.pl/articles/1955597.pdf
    Data publikacji:
    2021
    Wydawca:
    Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
    Tematy:
    journal bearing loading condition
    RK4 Bently Nevada
    vibration and acoustic pressure signal
    octave band signal analysis
    machine learning algorithms
    Opis:
    Journal and thrust bearings utilise hydrodynamic lubrication to reduce friction and wear between the shaft and the bearing. The process to determine the lubricant film thickness or the actual applied load is vital to ensure proper and trouble-free operation. However, taking accurate measurements of the oil film thickness or load in bearings of operating engines is very difficult and requires specialised equipment and extensive experience. In the present work, the performance parameters of journal bearings of the same principal dimensions are measured experimentally, aiming at training a Machine Learning (ML) algorithm capable of predicting the loading condition of any similar bearing. To this end, an experimental procedure using the Bently Nevada Rotor Kit 4 is set up, combined with sound and vibration measurements in the vicinity of the journal bearing structure. First, sound and acceleration measurements for different values of bearing load and rotational speed are collected and post-processed utilising 1/3 octave band analysis techniques, for parametrisation of the input datasets of the ML algorithms. Next, several ML algorithms are trained and tested. Comparison of the results produced by each algorithm determines the fittest one for each application. The results of this work demonstrate that, in a laboratory environment, the operational parameters of journal bearings can be efficiently identified utilising non-intrusive sound and vibration measurements. The presented approach may substantially improve bearing condition identification and monitoring, which is an imperative step to prevent journal bearing failures and conduct condition-based maintenance.
    Źródło:
    Polish Maritime Research; 2021, 3; 137-149
    1233-2585
    Pojawia się w:
    Polish Maritime Research
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Diagnostic significance of phase spectrum in acoustic analysis of pathological voice
    Diagnostyczne znaczenie widma fazowego w analizie akustycznej głosu patologicznego
    Autorzy:
    Samborska-Owczarek, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/153586.pdf
    Data publikacji:
    2010
    Wydawca:
    Stowarzyszenie Inżynierów i Techników Mechaników Polskich
    Tematy:
    analiza akustyczna
    sygnał mowy
    przetwarzanie mowy
    częstotliwość podstawowa
    widmo fazowe
    ekstrakcja cech
    GIRBAS
    acoustic analysis
    voice signal
    speech processing
    fundamental frequency
    F0
    phase spectrum
    features extraction
    Opis:
    The paper regards the possibility of using new numerical features extracted from the phase spectrum of a speech signal for voice quality estimation in acoustic analysis for medical purposes. This novel approach does not require detection or estimation of the fundamental frequency and works on all types of speech signal: euphonic, dysphonic and aphonic as well. The experiment results presented in the paper are very promising: the developed F0-independant voice features are strongly correlated with two voice quality indicators: grade of hoarseness G (r>0.8) and roughness R (r>0.75) from GIRBAS scale, and exceed the standard voice parameters: jitter and shimmer.
    Artykuł dotyczy możliwości ekstrakcji cech numerycznych z widma fazowego sygnału mowy w celu wykorzystania w analizie akustycznej na potrzeby medyczne. Podejście to umożliwia uzależnienie analizy akustycznej od zawodnych metod wykrywania/wyznaczania częstotliwości podstawowej (tonu krtaniowego) i dzięki temu przeznaczone jest do badania wszystkich typów sygnału mowy (również afonicznych). Wyniki eksperymentu są bardzo obiecujące - proponowane cechy Ph1 i Ph2 są silnie skorelowane z dwoma kategoriami percepcyjnymi: stopniem chrypki (r>0.8) oraz szorstkością głosu (r>0.75) ze skali GIRBAS, wykazując silniejsze znaczenie diagnostyczne niż znane i stosowane od dawna wskaźniki jitter i shimmer. Proponowane podejście oprócz skuteczności charakteryzuje się szeregiem dodatkowych korzyści: algorytm metody z powodu niskiej złożoności jest szybki i niekosztowny, interpretacja matematyczna jest prosta i jednoznaczna oraz spójna z obserwowanym obrazem widma fazowego głosu. Ponadto uniezależnienie od detekcji częstotliwości podstawowej sprawia, że algorytm jest deterministyczny oraz efektywny dla każdego typu sygnału mowy.
    Źródło:
    Pomiary Automatyka Kontrola; 2010, R. 56, nr 12, 12; 1547-1550
    0032-4140
    Pojawia się w:
    Pomiary Automatyka Kontrola
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-10 z 10

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