Presentation | 2023-09-22 Investigation of Acoustic Feature Estimation Based on Periodicity of Mechanical Equipment for Remote Anomaly Detection System Rio Shigyo, Daiki Nobayashi, Kazuya Tsukamoto, Mitsunori Mizumachi, Takeshi Ikenaga, |
---|---|
PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Status checks of mechanical equipment are typically being conducted by workers (manpower). However, since the check timing is limited (i.e., periodic check), the delay of anomaly detection could be the check interval at the maximum. Furthermore, the financial cost and the effort could be extremely high. Since some anomalies typically appear in the operating sound, we have proposed an IoT system that collects the operating sound automatically for anomaly detection. However, its detection performance could be degraded where the environmental noises (e.g., bird call and car engines) generated around the equipment are mixed with the operation sound. In this paper, we focus on the ultrasonic component whose frequency is higher than that of the audible sound and propose a new system that collects the ultrasonic data. Data is collected via the Internet, so equipment anomalies can be detected at all times from remote locations. However, since the large volume of ultrasonic data is a problem, this paper proposes a method for extracting only the necessary frequency bandwidth that can reduce its data amount. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | IoT / Ultrasonic Waves / Anomaly Detection / Data Transfer / Bandwidth Limitation |
Paper # | IA2023-28 |
Date of Issue | 2023-09-14 (IA) |
Conference Information | |
Committee | IA |
---|---|
Conference Date | 2023/9/21(2days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | Hokkaido Univeristy |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | Internet Operation and Management, Network Architecture, Communication Protocols, IoT, etc. |
Chair | Toyokazu Akiyama(Kyoto Sangyo Univ.) |
Vice Chair | Yusuke Sakumoto(Kwansei Gakuin Univ.) / Toshiki Watanabe(NEC) / Yuichiro Hei(KDDI) |
Secretary | Yusuke Sakumoto(Osaka Univ.) / Toshiki Watanabe(Kogakuin Univ.) / Yuichiro Hei(Kyushu Inst. of Tech.) |
Assistant | Daisuke Kotani(Kyoto Univ.) / Ryo Nakamura(Fukuoka Univ.) / Ryo Nakamura(Univ. of Tokyo) |
Paper Information | |
Registration To | Technical Committee on Internet Architecture |
---|---|
Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Investigation of Acoustic Feature Estimation Based on Periodicity of Mechanical Equipment for Remote Anomaly Detection System |
Sub Title (in English) | |
Keyword(1) | IoT |
Keyword(2) | Ultrasonic Waves |
Keyword(3) | Anomaly Detection |
Keyword(4) | Data Transfer |
Keyword(5) | Bandwidth Limitation |
1st Author's Name | Rio Shigyo |
1st Author's Affiliation | Kyushu Institute of Technology(KIT) |
2nd Author's Name | Daiki Nobayashi |
2nd Author's Affiliation | Kyushu Institute of Technology(KIT) |
3rd Author's Name | Kazuya Tsukamoto |
3rd Author's Affiliation | Kyushu Institute of Technology(KIT) |
4th Author's Name | Mitsunori Mizumachi |
4th Author's Affiliation | Kyushu Institute of Technology(KIT) |
5th Author's Name | Takeshi Ikenaga |
5th Author's Affiliation | Kyushu Institute of Technology(KIT) |
Date | 2023-09-22 |
Paper # | IA2023-28 |
Volume (vol) | vol.123 |
Number (no) | IA-193 |
Page | pp.pp.105-108(IA), |
#Pages | 4 |
Date of Issue | 2023-09-14 (IA) |