Generation of data set for artificial intelligence learning by collecting and processing meshing vibration and failure information of plastic gears

• Project/Area Number: 18K03907
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 18040:Machine elements and tribology-related
• Research Institution: Kyoto Institute of Technology
• Principal Investigator: Iba Daisuke 京都工芸繊維大学, 機械工学系, 教授 (10402984)
• Project Period (FY): 2018-04-01 – 2021-03-31
• Project Status: Completed (Fiscal Year 2020)
• Budget Amount: ¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000); Fiscal Year 2020: ¥390,000 (Direct Cost: ¥300,000、Indirect Cost: ¥90,000); Fiscal Year 2019: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000); Fiscal Year 2018: ¥2,730,000 (Direct Cost: ¥2,100,000、Indirect Cost: ¥630,000)
• Keywords: 歯車 / かみ合い振動 / 人工知能 / 損傷検知 / 樹脂歯車 / 故障診断 / データセット創生

Outline of Final Research Achievements

In this study, I have developed a system that automatically generates a large amount of teacher data by collecting various data (engagement vibration, tooth crack images, etc.) that represent the condition of plastic gears. It has become possible to detect the occurrence of tooth cracks by imaging the meshing vibration and learning and analyzing it with artificial intelligence. I also worked on the detection of signs that occur immediately before the occurrence of a tooth crack. As a result of decomposing the measured meshing vibration for each frequency band and investigating the progress of the operation test of the resin gear and the change in the frequency response for each band, changes occurred in some frequency bands before the occurrence of tooth cracks. I confirmed the phenomenon. I proposed a method of using this feature as a change point and using it as a label for learning data for artificial intelligence, and detected signs of tooth cracks.

Academic Significance and Societal Importance of the Research Achievements

天然の資源に変わり，世界の産業や経済を牽引する広義な意味での新しい資源は「情報」であるとされる．機械要素である歯車においても，「情報資源」を掘り当てて回収・加工し，それを利用する新しい方法の創造が求められている．そこで本研究では樹脂歯車を対象に，資源として樹脂歯車の状態を表す諸量（かみ合い振動や歯元のき裂画像）を自動回収するシステムを開発し，回収した情報から創成した学習用データセットを深層構造を持つ人工知能に学習させることによって，歯車の振動情報のみから損傷検知及び損傷モードの分類を行うシステムを開発した．

Research Products

• [Journal Article] Relationship Between Rotational Angle and Time-Synchronous-Averaged Meshing Vibration of Plastic Gears (2021)
  • Author(s): Y. Tsutsui, D. Iba, B. H. Kien, A. Kajihata, N. Miura, T. Iizuka, A. Masuda, A. Sone, I. Moriwaki
  • Journal Title: Mechanisms and Machine Science, Springer Volume: 88 Pages: 303-312
  • DOI: 10.1007/978-3-030-60076-1_27
  • ISBN: 9783030600754, 9783030600761
  • Peer Reviewed / Open Access
• [Journal Article] Hobbing-Machine-Diagnosis system with artificial intelligence (Learning-data collection through hobbing simulation and their compression with network representation) (2020)
  • Author(s): 河野 邦俊, 射場 大輔, 瓜生 耕一郎, 野田 英克, 井上 大暉, 森脇 一郎
  • Journal Title: Transactions of the JSME (in Japanese) Volume: 86 Issue: 886 Pages: 20-00026-20-00026
  • DOI: 10.1299/transjsme.20-00026
  • NAID: 130007864435
  • ISSN: 2187-9761
  • Peer Reviewed / Open Access
• [Journal Article] Vibration-based plastic-gear crack detection system using a convolutional neural network - Robust evaluation and performance improvement by re-learning (2020)
  • Author(s): BUI Kien Huy、IBA Daisuke、ISHII Yunosuke、TSUTSUI Yusuke、MIURA Nanako、IIZUKA Takashi、MASUDA Arata、SONE Akira、MORIWAKI Ichiro
  • Journal Title: Journal of Advanced Mechanical Design, Systems, and Manufacturing Volume: 14 Issue: 3 Pages: JAMDSM0035-JAMDSM0035
  • DOI: 10.1299/jamdsm.2020jamdsm0035
  • NAID: 130007823092
  • ISSN: 1881-3054
  • Peer Reviewed / Open Access
• [Journal Article] Networks of tooth helix deviations of ground and super-finished gears - Phase edges and intensity vertices (2019)
  • Author(s): Iba Daisuke、Inoue Hiroki、Noda Hidekatsu、Kim Myongsoo、Moriwaki Ichiro
  • Journal Title: Journal of Mechanical Science and Technology Volume: 33 Issue: 12 Pages: 5689-5697
  • DOI: 10.1007/s12206-019-1112-5
  • Peer Reviewed / Open Access
• [Journal Article] Visualization of phase differences between tooth helix deviations using graph theory (2019)
  • Author(s): Iba D.、Noda H.、Inoue H.、Kim M.、Moriwaki I.
  • Journal Title: Forschung im Ingenieurwesen Volume: 83 Issue: 3 Pages: 529-535
  • DOI: 10.1007/s10010-019-00358-1
  • Peer Reviewed
• [Journal Article] Crack detection of plastic gears using a?convolutional neural network pre-learned from images of meshing vibration data with transfer learning (2019)
  • Author(s): Kien B. H.、Iba D.、Ishii Y.、Tsutsui Y.、Miura N.、Iizuka T.、Masuda A.、Sone A.、Moriwaki I.
  • Journal Title: Forschung im Ingenieurwesen Volume: 83 Issue: 3 Pages: 645-653
  • DOI: 10.1007/s10010-019-00354-5
  • Peer Reviewed
• [Journal Article] Acquisition of meshing vibration data and image pictures of crack propagation at tooth root of plastic gears (2019)
  • Author(s): 石井 祐之助，射場 大輔，筒井 裕介，三浦 奈々子，飯塚 高志， 増田 新，曽根 彰，森脇 一郎
  • Journal Title: Transactions of the JSME (in Japanese) Volume: 85 Issue: 871 Pages: 18-00285-18-00285
  • DOI: 10.1299/transjsme.18-00285
  • NAID: 130007618936
  • ISSN: 2187-9761
  • Peer Reviewed / Open Access
• [Journal Article] Vibration analysis of a meshing gear pair by neural network (Visualization of meshing vibration and detection of a crack at tooth root by VGG16 with transfer learning) (2019)
  • Author(s): 1.Daisuke Iba, Yunosuke Ishii, Yusuke Tsutsui, Nanako Miura, Takashi Iizuka, Arata Masuda, Akira Sone, Ichiro Moriwaki
  • Journal Title: Proc. SPIE 10973, Smart Structures and NDE for Energy Systems and Industry 4.0, 109730Y Volume: - Pages: 1-9
  • DOI: 10.1117/12.2514250
• [Journal Article] Failure detection of plastic gears based on vibration analysis of meshing gear pairs (Generation of training data for failure detec- tion by artificial intelligence) (2018)
  • Author(s): Y. Ishii, D. Iba, S. Miyamoto, N. Miura, T. Iizuka, A. Masuda, A. Sone, I. Moriwaki
  • Journal Title: Proceedings of International Gear Conference Volume: - Pages: 1-10
• [Presentation] An improvement of visualized images from vibration for plastic gear early failure detection using Convolutional Neural Network (2021)
  • Author(s): D. Taga, D. Iba, B. H. Kien, Y. Tsutsui, N. Miura, T. Iizuka, A. Masuda, and I. Moriwaki
  • Organizer: Proc. SPIE 11593, Health Monitoring of Structural and Biological Systems XV, 115932N
  • Int'l Joint Research
• [Presentation] Vibration-based early detection of plastic gear faults using Fourier decomposition and deep learning (2020)
  • Author(s): Kien Huy BUI, Daisuke IBA, Yusuke TSUTSUI, Aoto KAJIHATA, Yue LEI, Nanako MIURA, Takashi IIZUKA, Arata MASUDA, Akira SONE, Ichiro MORIWAKI
  • Organizer: The 15th International Conference on Motion and Vibration Control (MoViC2020), Paper ID:10027, pp.1-9
  • Int'l Joint Research
• [Presentation] はすば歯車の歯すじ偏差ネットワークにおける相関係数分布 (2020)
  • Author(s): 塩田篤，射場大輔，井上大暉，河 野 邦俊，森脇 一郎
  • Organizer: 日本機械学会2020年度年次大会，S11531, pp 1-5
• [Presentation] ホブ盤診断システムのための歯車精度表現手法 (2020)
  • Author(s): 河野 邦俊，射場 大輔，瓜生 耕一郎，井上 大暉，森脇 一郎
  • Organizer: 日本機械学会2020年度年次大会，S11217, pp 1-4
• [Presentation] Effect of image size on performance of a plastic gear crack detection system based convolutional neural networks: an experimental study (2020)
  • Author(s): B. H. Kien, D. Iba, Y. Tsutsui, A. Kajihata, Y. Lei, N. Miura, T. Iizuka, A. Masuda, A. Sone, and I. Moriwaki
  • Organizer: Proc. SPIE 11381, Health Monitoring of Structural and Biological Systems XIV, 113812I
• [Presentation] Visualization of phase differences between tooth helix deviations using graph theory (2019)
  • Author(s): Daisuke Iba, Hidekatsu Noda, Hiroki Inoue, Myungsoo Kim and Ichiro Moriwaki
  • Organizer: International Conference on Gears 2019
  • Int'l Joint Research
• [Presentation] Crack detection of plastic gears using a convolutional neural network pre-learned from images of meshing vibration data with transfer learning (2019)
  • Author(s): Bui Huy Kien, Daisuke Iba, Yusuke Tsutsui, Nanako Miura, Takashi Izuka, Arata Masuda, Akira Sone and Ichiro Moriwaki
  • Organizer: 3rd International Conference on High Performance Plastic Gears 2019
  • Int'l Joint Research
• [Presentation] Networks of tooth helix deviations of hobbed, grinded and super-finished gears (2019)
  • Author(s): Hiroki Inoue, Daisuke Iba, Hidekatsu Noda, Myungsoo Kim and Ichiro Moriwaki
  • Organizer: The 8th International Conference on Manufacturing, Machine Design and Tribology
  • Int'l Joint Research
• [Presentation] Robustness evaluation of vibration-based gear crack detection system using a convolutional neural network (2019)
  • Author(s): Bui Huy Kien, Daisuke Iba, Yunosuke Ishii, Yusuke Tsutsui, Nanako Miura, Takashi Iizuka, Arata Masuda, Akira Sone and Ichiro Moriwaki
  • Organizer: The 8th International Conference on Manufacturing, Machine Design and Tribology
  • Int'l Joint Research
• [Presentation] Performance Evaluation of Automatic Labeling System of Crack Length at Tooth Root and Examination of Erroneous Detection (2019)
  • Author(s): D. Iba, Y. Tsutsui, Y. Ishii, B. H. Kien, N. Miura, T. Iizuka, A. Masuda, A. Sone, I. Moriwaki
  • Organizer: IFToMM WC 2019. Mechanisms and Machine Science
  • Int'l Joint Research
• [Presentation] 高速度カメラによって撮影した画像の射影変換を用いた歯元き裂長さの定量化 (2018)
  • Author(s): 石井 祐之助，射場 大輔，三浦 奈々子，飯塚 高志， 増田 新，曽根 彰，森脇 一郎
  • Organizer: 2018年度日本機械学会年次大会
• [Presentation] はすば歯車の歯すじ誤差間の相関係数のグラフ (2018)
  • Author(s): 野田 英克，射場 大輔，金 明洙，森脇 一郎
  • Organizer: 2018年度日本機械学会年次大会
• [Presentation] かみ合い振動データと歯元き裂進展の画像の自動収集システム (2018)
  • Author(s): 石井 祐之助，射場 大輔，宮本 諭，三浦 奈々子，飯塚 高志，増田 新，曽根 彰，森脇 一郎
  • Organizer: 日本機械学会機素潤滑設計部門講演会