Presentation 2020-03-05
Motor Current Signature Analysis Based On-Line Fault Detection of DC Motor
Naoki Osako, Hiroyuki Kanbara, Nagisa Ishiura,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) This article presents a method for online detection of DC motors' fault based on current signature analysis. While current signature analysis does not require sensors for individual motors and hence is cost effective, it needs frequency analysis which is a computationally heavy task. We attempt to achieve online fault detection based on current signature analysis by combined implementation of software and hardware. Fault detection is based on an observation that faulty motors exhibit large harmonic components in low frequency band. Heavy computation of FFT is offloaded to hardware while the other tasks are executed by software. We implemented a fault detection system on a programmable SoC, which ran fast enough for online use and were able to detect faults for variable duties of the input PWM signal.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) motor current signature analysis / fault detection / embedded systems / hardware/software codesign / programmable SoC / DC moror
Paper # VLD2019-111,HWS2019-84
Date of Issue 2020-02-26 (VLD, HWS)

Conference Information
Committee HWS / VLD
Conference Date 2020/3/4(4days)
Place (in Japanese) (See Japanese page)
Place (in English) Okinawa Ken Seinen Kaikan
Topics (in Japanese) (See Japanese page)
Topics (in English) Design Technology for System-on-Silicon, Hardware Security, etc.
Chair Shinichi Kawamura(Toshiba) / Nozomu Togawa(Waseda Univ.)
Vice Chair Makoto Ikeda(Univ. of Tokyo) / Yasuhisa Shimazaki(Renesas Electronics) / Daisuke Fukuda(Fujitsu Labs.)
Secretary Makoto Ikeda(SECOM) / Yasuhisa Shimazaki(Kyushu Univ.) / Daisuke Fukuda(Univ. of Aizu)
Assistant / Kazuki Ikeda(Hitachi)

Paper Information
Registration To Technical Committee on Hardware Security / Technical Committee on VLSI Design Technologies
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Motor Current Signature Analysis Based On-Line Fault Detection of DC Motor
Sub Title (in English)
Keyword(1) motor current signature analysis
Keyword(2) fault detection
Keyword(3) embedded systems
Keyword(4) hardware/software codesign
Keyword(5) programmable SoC
Keyword(6) DC moror
1st Author's Name Naoki Osako
1st Author's Affiliation Kwansei Gakuin University(Kwansei Gakuin Univ.)
2nd Author's Name Hiroyuki Kanbara
2nd Author's Affiliation ASTEM RI/KYOTO(ASTEM)
3rd Author's Name Nagisa Ishiura
3rd Author's Affiliation Kwansei Gakuin University(Kwansei Gakuin Univ.)
Date 2020-03-05
Paper # VLD2019-111,HWS2019-84
Volume (vol) vol.119
Number (no) VLD-443,HWS-444
Page pp.pp.101-106(VLD), pp.101-106(HWS),
#Pages 6
Date of Issue 2020-02-26 (VLD, HWS)