Modern Feature Extraction Methods and Learning Algorithms in the Field of Industrial Acoustic Signal Processing

被引：0
|
作者：
Dobjan, Tibor [1 ]
Antal, Elvira D. [1 ]
机构：
[1] John von Neumann Univ, Kecskemet, Hungary
来源：
2017 IEEE 15TH INTERNATIONAL SYMPOSIUM ON INTELLIGENT SYSTEMS AND INFORMATICS (SISY) | 2017年
关键词：
BARKHAUSEN NOISE;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Identification of acoustic events is a challanging field of signal processing. Fast identification algorithms would be applicable for real-time event detection in industrial projects. Event detection is usually done by classifying a specific feature of windows of time series. This paper studies the application of the novel skeleton method for feature extraction. We compare it with traditional feature extraction methods on high frequency sampled vibration data, which was measured by a Gleeble 3800 thermo-mechanical physical simulator. Barkhausen noise and other background noises are hardening the analysis.
引用
收藏
页码：65 / 70
页数：6
相关论文
共 50 条
  • [21] Automated methods of field harmonic signal extraction and processing for the magnets in superconducting supercollider
    Jaffery, T.S.
    Butteris, J.
    Wake, M.
    Conference Record - IEEE Instrumentation and Measurement Technology Conference, 1994, 1 : 212 - 215
  • [22] Automated methods of field harmonic signal extraction and processing for the magnets in superconducting supercollider
    Jaffery, TS
    Butteris, J
    Wake, M
    PROCEEDINGS OF THE 1995 PARTICLE ACCELERATOR CONFERENCE, VOLS 1-5, 1996, : 1465 - 1468
  • [23] Machine learning, waveform preprocessing and feature extraction methods for classification of acoustic startle waveforms
    Fawcett, Timothy J.
    Cooper, Chad S.
    Longenecker, Ryan J.
    Walton, Joseph P.
    METHODSX, 2021, 8
  • [24] Industrial Acoustic Signal Processing with Graph Based Features
    Dobjan, Tibor
    Kardos, Peter
    Nemeth, Gabor
    2017 IEEE 15TH INTERNATIONAL SYMPOSIUM ON INTELLIGENT SYSTEMS AND INFORMATICS (SISY), 2017, : 47 - 52
  • [25] Feature extraction and signal processing for nylon DNA microarrays
    F Lopez
    J Rougemont
    B Loriod
    A Bourgeois
    L Loï
    F Bertucci
    P Hingamp
    R Houlgatte
    S Granjeaud
    BMC Genomics, 5
  • [26] Signal processing and feature extraction toolbox for prognosis/diagnosis
    Kadambe, Shubha
    AUTOTESTCON 2005, 2005, : 431 - 437
  • [27] Motion Artifact Removal and Feature Extraction from PPG Signals Using Efficient Signal Processing Algorithms
    Luke, Anjana
    Shaji, Shereena
    Menon, K. A. Unnikrishna
    2018 INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, COMMUNICATIONS AND INFORMATICS (ICACCI), 2018, : 624 - 630
  • [28] Measuring Electrodermal Activity To Determining Sympathetic Activity In Sportsman And Feature Extraction With Signal Processing Methods
    Aladag, Serhat
    Guven, Aysegul
    Dolu, Nazan
    Ozbek, Hatice
    2016 MEDICAL TECHNOLOGIES NATIONAL CONFERENCE (TIPTEKNO), 2015,
  • [29] Spectrum Skeletonization: A New Method for Acoustic Signal Feature Extraction
    Dobjan, Tibor
    Nemeth, Gabor
    ACTA CYBERNETICA, 2013, 21 (01): : 89 - 103
  • [30] ESPRIT-based feature extraction of helicopter acoustic signal
    Beijing Inst of Technology, Beijing, China
    J Beijing Inst Technol Engl Ed, 1 (7-13):
12345