NDLI: Acoustic signal separation of mechanical devices using ICA with band-pass filters

Content Provider	Springer Nature Link
Author	Wang, Bingchen Omatu, Sigeru
Copyright Year	2005
Abstract	We propose a method of separating the acoustic signals of motors and the gears of mechanical devices by using independent component analysis (ICA) with band-pass filters. The frequency distribution of a recorded acoustic signal from the operating mechanical device can be divided into three fields, the low-frequency field, which corresponds to the frequency characteristics of the gear, the medium-frequency field, which is mixed with the frequency characteristics of the gear and the motor, and the high-frequency field, which corresponds to the frequency characteristics of the motor. Since only the medium-frequency components are a mixture of the acoustic signals of gears and motors, ICA with band-pass filters is expected to separate the acoustic signals of motors and gears more accurately than conventional ICA. The simulation and experimental results show that the proposed method can separate the acoustic signals of motors and gears of mechanical devices successfully.
Starting Page	46
Ending Page	50
Page Count	5
File Format	PDF
ISSN	14335298
Journal	Artificial Life and Robotics
Volume Number	9
Issue Number	1
e-ISSN	16147456
Language	English
Publisher	Springer-Verlag
Publisher Date	2005-04-30
Publisher Place	Tokyo
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	ICA Acoustic signal separation Band-pass filters Computation by Abstract Devices Artificial Intelligence (incl. Robotics) Automation and Robotics
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence Biochemistry, Genetics and Molecular Biology

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