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DEVELOPMENT OF A DIAGNOSTIC SYSTEM FOR SLIDING SURFACES IN MACHINERY

Research Project

Project/Area Number 06555048
Research Category

Grant-in-Aid for Scientific Research (A)

Allocation TypeSingle-year Grants
Section試験
Research Field 設計工学・機械要素・トライボロジー
Research InstitutionKYUSHU UNIVERSITY

Principal Investigator

YAMAMOTO Yuji  Kyushu University, Faculty of Engineering, Professor, 工学部, 教授 (10037997)

Co-Investigator(Kenkyū-buntansha) ONO Bunji  Kyushu University, Faculty of Engineering, Research Associate, 工学部, 助手 (60224276)
GONDO Seigo  Kyushu University, Faculty of Engineering, Research Associate, 工学部, 助手 (50037975)
SUGIMURA Joichi  Kyushu University, Faculty of Engineering, Associate Professor, 工学部, 助教授 (20187660)
Project Period (FY) 1994 – 1996
Project Status Completed (Fiscal Year 1996)
Budget Amount *help
¥10,200,000 (Direct Cost: ¥10,200,000)
Fiscal Year 1996: ¥3,000,000 (Direct Cost: ¥3,000,000)
Fiscal Year 1995: ¥700,000 (Direct Cost: ¥700,000)
Fiscal Year 1994: ¥6,500,000 (Direct Cost: ¥6,500,000)
KeywordsTribology / Lubrication / Wear / Wear debris / Image Analysis / Neural Network / Maintenance / 診断システム / 摺動面 / 形態
Research Abstract

This project was aimed at developing a system which predicts conditions of sliding surfaces in machinery from wear debris contained in sampled oils. Techniques for analyzing microscopic images of wear debris with computers, and association of debris features with sliding conditions using artificial neural networks were established. The system was applied and tested with lubricated wear experiments of steels, and also applied to gear tests and some practical machines.
A computer controlled image analyzer was developed which not only captures and analyzes images on the microscope but is able to obtain images automatically. It can also conduct three-dimentional shape measurement of large debris. Several descriptors of shape and surface features of particles were introduced, including representative diameter, elongation, roundness and modified roundness, reflectivity, thickness, Fourier descriptors and sueface texture parameters. The optimum sample size for averaging there parameters was proposed. Fourier descriptors were found to be less susceptible than other shape parameters to errors caused by image digitization.
Wear debris were shown to have different morphological and surface features depending on the stages of sliding, loads, sliding speeds, oils and additives, and sliding materials. Correlations of the debris features and the sliding conditions were analyzed and represented with artificial neural networks. The back-propagation net, Hopfield net, and Kohonen self-organizing map were introduced, among which the back-propagation nets were extensively used. It was shown that the neural nets learned debris features and associated conditions, and predicted conditions the debris came from as well as the coefficient of friction with only inputs of debris parameters. The system proved to be capable of detecting, from wear debris characteristics, changes from initial wear to steady-state wear, and further to flaking or scoring in gear tests.

Report

(4 results)
  • 1996 Annual Research Report   Final Research Report Summary
  • 1995 Annual Research Report
  • 1994 Annual Research Report
  • Research Products

    (33 results)

All Other

All Publications (33 results)

  • [Publications] 杉村丈一: "摩耗粉の形態識別におけるニューラルネットワークの適用" 日本機械学会論文集C編. 61巻590号. 4055-4060 (1995)

    • Description
      「研究成果報告書概要(和文)」より
    • Related Report
      1996 Final Research Report Summary
  • [Publications] 杉村丈一: "摩耗粉形態認識におけるニューラルネットワークの入出力と内部状態" 日本トライボロジー学会トライボロジー会議予稿集(金沢1994-10). 397-400 (1994)

    • Description
      「研究成果報告書概要(和文)」より
    • Related Report
      1996 Final Research Report Summary
  • [Publications] 朴興植: "ニューラルネットワークによる摩耗粉の解析-異種摩擦材料へのネットワークの適用-" 日本トライボロジー学会トライボロジー会議予稿集(金沢1994-10). 393-396 (1994)

    • Description
      「研究成果報告書概要(和文)」より
    • Related Report
      1996 Final Research Report Summary
  • [Publications] 梅田彰彦: "ニューラルネットワークによる摩耗粉の解析-潤滑油添加剤と摩耗粉形態-" 日本トライボロジー学会トライボロジー会議予稿集(東京1995-5). 239-242 (1995)

    • Description
      「研究成果報告書概要(和文)」より
    • Related Report
      1996 Final Research Report Summary
  • [Publications] Toku Itoh: "Prognosis of Scuffing Failure by Wear Debris Image Analysis" Proceedings of International Tribology Conference,Yokohama 1995. 193-198 (1996)

    • Description
      「研究成果報告書概要(和文)」より
    • Related Report
      1996 Final Research Report Summary
  • [Publications] 梅田彰彦: "摩耗粉形態パラメータの性質について" 日本機械学会九州支部講演会講演論文集. No,968-1. 54-56 (1996)

    • Description
      「研究成果報告書概要(和文)」より
    • Related Report
      1996 Final Research Report Summary
  • [Publications] 梅田彰彦: "摩耗粉形態の特徴と記述方法" 日本トライボロジー学会トライボロジー会議予稿集(東京1996-5). 195-197 (1996)

    • Description
      「研究成果報告書概要(和文)」より
    • Related Report
      1996 Final Research Report Summary
  • [Publications] 梅田彰彦: "摩耗粉の形態と摩擦面の特徴" 日本トライボロジー学会トライボロジー会議予稿集(北九州1996-10). 374-376 (1996)

    • Description
      「研究成果報告書概要(和文)」より
    • Related Report
      1996 Final Research Report Summary
  • [Publications] 杉村丈一: "摩耗粉解析にもとづく摩擦状態の診断" 日本トライボロジー学会トライボロジー会議予稿集(北九州1996-10). 377-379 (1996)

    • Description
      「研究成果報告書概要(和文)」より
    • Related Report
      1996 Final Research Report Summary
  • [Publications] 杉村丈一: "摩耗粉形態の自動解析システムの試作" 日本機械学会九州支部講演会講演論文集. No,978-1. 177-179 (1997)

    • Description
      「研究成果報告書概要(和文)」より
    • Related Report
      1996 Final Research Report Summary
  • [Publications] 梅田彰彦: "パターンマッチングによる摩擦面と摩耗粉の形態解析" 日本トライボロジー学会トライボロジー会議予稿集(東京1997-5). (1997)

    • Description
      「研究成果報告書概要(和文)」より
    • Related Report
      1996 Final Research Report Summary
  • [Publications] SUGIMURA J.et al.: "Wear Debris Identification with Neural Networks" J.JSME,Pt.C.61,590. 4055-4060 (1995)

    • Description
      「研究成果報告書概要(欧文)」より
    • Related Report
      1996 Final Research Report Summary
  • [Publications] SUGIMURA J.et al.: "Inputs/Outputs and Internal Conditions of Neural Networks in Wear Debris Recognition" Proc.JAST Tribology Conf., Kanazawa. 397-400 (1994)

    • Description
      「研究成果報告書概要(欧文)」より
    • Related Report
      1996 Final Research Report Summary
  • [Publications] PARK H.et al.: "Analysis of Wear Debris with Neural Networks : Application to Different Sliding Materials" Proc.JAST Tribology Conf., Kanazawa. 393-396 (1994)

    • Description
      「研究成果報告書概要(欧文)」より
    • Related Report
      1996 Final Research Report Summary
  • [Publications] UMEDA A.et al.: "Analysis of Wear Debris with Neural Networks : Lubricant Additives and Wear Debris Characteristics" Proc.JAST Tribology Conf., Tokyo. 239-242 (1995)

    • Description
      「研究成果報告書概要(欧文)」より
    • Related Report
      1996 Final Research Report Summary
  • [Publications] ITOH T.et al.: "Prognosis of Scuffing Failure by Wear Debris Analysis" Proc.Int.Trib.Conf., Yokohama. 193-198 (1995)

    • Description
      「研究成果報告書概要(欧文)」より
    • Related Report
      1996 Final Research Report Summary
  • [Publications] UMEDA A.et al.: "On Wear Particle Morphological Parameters" Proc.JSME Conf.No.968-1. 54-56 (1996)

    • Description
      「研究成果報告書概要(欧文)」より
    • Related Report
      1996 Final Research Report Summary
  • [Publications] UMEDA A.et al.: "Characteristics and Description of Wear Particle Morphology" Proc.JAST Tribology Conf., Tokyo. 195-197 (1996)

    • Description
      「研究成果報告書概要(欧文)」より
    • Related Report
      1996 Final Research Report Summary
  • [Publications] UMEDA A.et al.: "Wear Particle Morphology and Characteristics of Sliding Surfaces" Proc.JAST Tribology Conf., Kitakyushu. 374-376 (1996)

    • Description
      「研究成果報告書概要(欧文)」より
    • Related Report
      1996 Final Research Report Summary
  • [Publications] SUGIMURA J.et al.: "Diagnosis of Friction Conditions Based on Wear Debris Analysis" Proc.JAST Tribology Conf., Kitakyushu. 377-379 (1996)

    • Description
      「研究成果報告書概要(欧文)」より
    • Related Report
      1996 Final Research Report Summary
  • [Publications] SUGIMURA J.et al.: "Development of Automated System for Wear Particle Analysis" Proc.JSME Conf.No.978-1. 177-179 (1997)

    • Description
      「研究成果報告書概要(欧文)」より
    • Related Report
      1996 Final Research Report Summary
  • [Publications] UMEDA A.et al.: "Analysis of Sliding Surfaces and Wear Particles with Pattern Matching" Proc.J JAST Tribology Conf., Tokyo. (to be presented). (1997)

    • Description
      「研究成果報告書概要(欧文)」より
    • Related Report
      1996 Final Research Report Summary
  • [Publications] 梅田彰彦: "摩耗粉形態の特徴と記述方法" 日本トライボロジー学会トライボロジー会議予稿集(東京1996-5). 195-197 (1996)

    • Related Report
      1996 Annual Research Report
  • [Publications] Toku Itoh: "Prognosis of Scuffing Failure by Wear Debris Image Analysis" Proceedings of the International Tribology Conference,Yokohama 1995. 193-198 (1996)

    • Related Report
      1996 Annual Research Report
  • [Publications] 杉村丈一: "摩耗粉解析にもとづく摩擦状態の診断" 日本トライボロジー学会トライボロジー会議予稿集(北九州1996-10). 377-379 (1996)

    • Related Report
      1996 Annual Research Report
  • [Publications] 梅田彰彦: "摩耗粉の形態と摩擦面の特徴" 日本トライボロジー学会トライボロジー会議予稿集(北九州1996-10). 374-376 (1996)

    • Related Report
      1996 Annual Research Report
  • [Publications] 杉村丈一: "摩耗粉形態の自動解析システムの試作" 日本機械学会九州支部第50期総会講演会講演論文集. No.978-1. 177-179 (1997)

    • Related Report
      1996 Annual Research Report
  • [Publications] 梅田彰彦: "ニューラルネットによる摩耗粉の解析-潤滑油添加剤と摩耗粉形態-" トライボロジー会議予稿集(東京 1995-5). 239-242 (1995)

    • Related Report
      1995 Annual Research Report
  • [Publications] 伊東 徳: "摩耗粉画像解析による作動状態の変化" トライボロジー会議予稿集(東京 1995-5). 499-502 (1995)

    • Related Report
      1995 Annual Research Report
  • [Publications] 杉村丈一: "摩耗粉の形状識別におけるニューラルネットワークの適用" 日本機械学会論文集(C編). 61. 4055-4060 (1995)

    • Related Report
      1995 Annual Research Report
  • [Publications] 杉村丈一: "ニューラルネットワークによる摩耗粉の解析-摩擦条件の判定-" トライボロジー会議予稿集(東京1994-5). 183-186 (1994)

    • Related Report
      1994 Annual Research Report
  • [Publications] 朴 興植: "ニューラルネットワークによる摩耗粉の解析-異種材料へのネットワークの適用" トライボロジー会議予稿集(金沢1994-10). 393-396 (1994)

    • Related Report
      1994 Annual Research Report
  • [Publications] 杉村丈一: "摩耗粉形態認識におけるニューラルネットワークの入出力と内部状態" トライボロジー会議予稿集(金沢1994-10). 397-400 (1994)

    • Related Report
      1994 Annual Research Report

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Published: 1994-04-01   Modified: 2016-04-21  

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