A Sound Monitoring System for Fault Detection of Machine and Machining States

Shozo Takata, J. H. Ahn, M. Miki, Y. Miyao, T. Sata

研究成果: Article査読

35 被引用数 (Scopus)

抄録

This paper describes a sound monitoring system using a speech recognition technique. The system provides the untended manufacturing system with the function of overall monitoring capability. It identifies various operational sounds emitted by the machine, and check if they are proper ones which are expected from the control information prior to the operation. We adopted the speaker-dependent isolated word recognition technique based on the short time spectrum analysis for sound recognition. The experimental system was developed using the speech recognition board equipped with the special LSI. The recognition tests of the operational sound of a vertical machining center showed the ability of the system to identify the sorts of operations including the cutting and non-cutting operations. It can also discriminate the cutting sound with a broken tool from the normal cutting sound. The ability to distinguish the variations of cutting parameters was also studied. The system distinguished the variation of cutting speed and depth of cut fairly well. The monitoring experiments were carried out for a series of machining operations of a test part. The results demonstrated the effectiveness of the system as an overall monitoring method.

本文言語English
ページ(範囲)289-292
ページ数4
ジャーナルCIRP Annals - Manufacturing Technology
35
1
DOI
出版ステータスPublished - 1986
外部発表はい

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering

フィンガープリント 「A Sound Monitoring System for Fault Detection of Machine and Machining States」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル