抄録
This paper describes a sound monitoring system which provides an untended manufacturing system with the function of overall monitoring to detect a wide range of abnormal occurrences. The system recognizes various operational sounds, including stationary sounds and shock sounds, using a speech recognition technique, and it then compares them with the expected operational sounds. To detect the emission of shock sounds which must be taken into the recognition system upon their emission, an algorithm using an autoregressive model is proposed. The experimental system was developed using a speech recognition printed circuit board equipped with special LSI hardware. The monitoring experiments are performed for the operation of a vertical machining center. The results show a considerably high rate of recognition for the sound of machine movements and the sounds of machining.
| 元の言語 | English |
|---|---|
| ホスト出版物のタイトル | American Society of Mechanical Engineers, Production Engineering Division (Publication) PED |
| 出版場所 | New York, NY, USA |
| 出版者 | ASME (DSC v 4) |
| ページ | 279-289 |
| ページ数 | 11 |
| 巻 | 23 |
| 出版物ステータス | Published - 1986 |
| 外部発表 | Yes |
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ASJC Scopus subject areas
- Industrial and Manufacturing Engineering
- Mechanical Engineering
これを引用
OPERATION MONITORING OF UNTENDED MANUFACTURING SYSTEMS BY MEANS OF SOUND RECOGNITION. / Sata, T.; Takata, Shozo; Ahn, J. H.
American Society of Mechanical Engineers, Production Engineering Division (Publication) PED. 巻 23 New York, NY, USA : ASME (DSC v 4), 1986. p. 279-289.研究成果: Conference contribution
}
TY - GEN
T1 - OPERATION MONITORING OF UNTENDED MANUFACTURING SYSTEMS BY MEANS OF SOUND RECOGNITION.
AU - Sata, T.
AU - Takata, Shozo
AU - Ahn, J. H.
PY - 1986
Y1 - 1986
N2 - This paper describes a sound monitoring system which provides an untended manufacturing system with the function of overall monitoring to detect a wide range of abnormal occurrences. The system recognizes various operational sounds, including stationary sounds and shock sounds, using a speech recognition technique, and it then compares them with the expected operational sounds. To detect the emission of shock sounds which must be taken into the recognition system upon their emission, an algorithm using an autoregressive model is proposed. The experimental system was developed using a speech recognition printed circuit board equipped with special LSI hardware. The monitoring experiments are performed for the operation of a vertical machining center. The results show a considerably high rate of recognition for the sound of machine movements and the sounds of machining.
AB - This paper describes a sound monitoring system which provides an untended manufacturing system with the function of overall monitoring to detect a wide range of abnormal occurrences. The system recognizes various operational sounds, including stationary sounds and shock sounds, using a speech recognition technique, and it then compares them with the expected operational sounds. To detect the emission of shock sounds which must be taken into the recognition system upon their emission, an algorithm using an autoregressive model is proposed. The experimental system was developed using a speech recognition printed circuit board equipped with special LSI hardware. The monitoring experiments are performed for the operation of a vertical machining center. The results show a considerably high rate of recognition for the sound of machine movements and the sounds of machining.
UR - http://www.scopus.com/inward/record.url?scp=0022926499&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0022926499&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:0022926499
VL - 23
SP - 279
EP - 289
BT - American Society of Mechanical Engineers, Production Engineering Division (Publication) PED
PB - ASME (DSC v 4)
CY - New York, NY, USA
ER -