Feature extraction of rotating apparatus using acoustic sensing technology

Cihun Siyong Alex Gong, Chih Hui Simon Su, Yu Chieh Chuang, Kuei Hung Tseng, Tien Hua Li, Chih Hsiung Chang, Lung Hsien Huang

研究成果: 圖書/報告稿件的類型會議稿件同行評審

4 引文 斯高帕斯(Scopus)

摘要

This article presents a feature extraction of rotating apparatus using acoustic sensing technology (AST). The kernel algorithm is based on an acoustic signal enhancement filter (ASEF). The acoustic feature extraction algorithm is implemented by using Mel-scale frequency cepstral coefficient (MFCC) theory. The system utilizes an National Instruments (NI) cRIO-9067 embedded controller and a real-time signal sensing module to analyze rotation performance and predict malfunctions in rotating apparatus. AST can adopt low noise array microphone which the effective bandwidth is 20 to 10000 Hz. Experimental results showed that the acoustic signal method could effectively perform real-time early fault detection and prediction in proposed system. Smart AST was proposed that can distinguish the acoustic feature differences of normal and abnormal ones.

原文英語
主出版物標題ICUFN 2019 - 11th International Conference on Ubiquitous and Future Networks
發行者IEEE Computer Society
頁面254-256
頁數3
ISBN(電子)9781728113395
DOIs
出版狀態已出版 - 07 2019
事件11th International Conference on Ubiquitous and Future Networks, ICUFN 2019 - Zagreb, 克羅地亞
持續時間: 02 07 201905 07 2019

出版系列

名字International Conference on Ubiquitous and Future Networks, ICUFN
2019-July
ISSN(列印)2165-8528
ISSN(電子)2165-8536

Conference

Conference11th International Conference on Ubiquitous and Future Networks, ICUFN 2019
國家/地區克羅地亞
城市Zagreb
期間02/07/1905/07/19

文獻附註

Publisher Copyright:
© 2019 IEEE.

指紋

深入研究「Feature extraction of rotating apparatus using acoustic sensing technology」主題。共同形成了獨特的指紋。

引用此