연구동향 분석
박사

융합 진단시스템을 통한 회전 기계의 결함검출 성능 강화 = Enhancement of Faults Detection and Diagnosis Performance of Rotating Machinery with Convergence Diagnostic System

이종명 2020년

논문상세정보
인용/피인용
' 융합 진단시스템을 통한 회전 기계의 결함검출 성능 강화 = Enhancement of Faults Detection and Diagnosis Performance of Rotating Machinery with Convergence Diagnostic System' 의 주제별 논문영향력
논문영향력 선정 방법
논문영향력 요약
주제
  • 규칙기반 추론
  • 모델기반해석
  • 융합 진단시스템
  • 진단 성능분석
  • 특징기반분석
  • 회전체동역학
동일주제 총논문수 논문피인용 총횟수 주제별 논문영향력의 평균
18 0

0.0%

' 융합 진단시스템을 통한 회전 기계의 결함검출 성능 강화 = Enhancement of Faults Detection and Diagnosis Performance of Rotating Machinery with Convergence Diagnostic System' 의 참고문헌

  • ¡°Vibration of rotating machinery¡±
    [2003]
  • ¡°Vibration feature extraction techniques for fault diagnosis of rotating machinery : a literature survey¡±
    [2003]
  • ¡°Support vector machine in machineCondition monitoring and fault diagnosis¡±
    Volume 21 , no . 6 , pp . 2560-2574 . [2007]
  • ¡°Study on Rub Vibration of Rotary Machine for Turbine Blade Diagnosis¡± ,
    Volume 26 , no . 6 , pp . 714-720 . [2016]
  • ¡°Rotordynamic Tutorials : LateralCritical Speeds Unbalance Response stability Train Torsional and Rotor Balancing¡±
    [2005]
  • ¡°Rotor balancing : Procedures and tolerances for rotors with rigid behaviour¡±
    [2016]
  • ¡°Rolling bearing Analysis¡±
    [1984]
  • ¡°Numerical Verification of Hybrid Optimization Technique for Finite Element Model Updating¡±
    Volume 10 , no . 6 , pp . 19-28 . [2006]
  • ¡°Multicriterion Techniques for the Optimization of Rotors , in Nonlinear Dynamics ,Chaos ,Control , and Their Applications to Engineering Sciences¡±
    Volume 2 , pp . 236-249 [1999]
  • ¡°Multi-objective Optimization of Rotor-Bearing System withCritical SpeedConstraints¡±
    Volume 115 , pp . 246-255 . [1993]
  • ¡°Identification of Multiple Faults in Rotor Systems¡±
    Volume 254 ( 2 ) , pp . 327-366 . [2002]
  • ¡°Identification of Linearised DynamicCoefficients of Rolling Element Bearings¡±
    Volume 119 , pp . 60-69 . [1997]
  • ¡°Identification of Bearing DynamicCoefficients by Unbalance Response Measurements¡±
    Volume 203C , pp . 93-101 . [1988]
  • ¡°Genetic Algorithm in Search
    [1989]
  • ¡°Fault Diagnosis of Rotating Machinery¡±
    [1998]
  • ¡°Estimation of Linearized DynamicCharacteristics of Bearings Using Synchronous Response¡±
    Volume 37 ( 2 ) , pp . 197-219 . [1995]
  • ¡°Dynamic Finite Element Model Updating Using Simulated Annealing and Genetic Algorithms¡±
    Volume 12 ( 1 ) , pp . 91-120 . [1998]
  • ¡°Data-driven imbalance and hard particle detection in rotating machinery using infrared thermal imaging¡±
    Volume 82 , pp . 28-39 [2017]
  • ¡°Coping with human errors through system design : implications for ecological interface design¡±
    Volume 31 , Issue 5 , pp . 517-534 . [1989]
  • ¡°C4.5 : Programs for Machine Learnings¡± , Morgan Kaufmann Publishors
    Chap . 2-5 [1992]
  • ¡°Bulding Database for stiffness of Rolling Element Bearing¡± ,
    pp . 387-391 [2000]
  • ¡°AutomatedClassification of Nucleated BloodCells Using a Binary TreeClassifier ¡¯ IEEE Trans Pattern Analysis and Machine InteJJigence
    PAMI-2-5 , pp . 429-443 [1980]
  • ¡°An analysis of turbine blade/abradable seal rubbing¡± , Metals and Materials Society
    pp . 1085 ? 1088 [1993]
  • ¡°An Expert System for Diagnosis of Turbo-Machinery Faults¡±
    [1991]
  • ¡°A Minimum Strain Energy Approach for Obtaining Optimal Unbalance Distribution in Flexible Rotors¡± ,
    Volume 103 , pp . 875-880 . [1982]
  • ¡°A GA-based feature selection and parameters optimization for support vector machines¡±
    Volume 31 , no . 2 , pp . 231-240 . [2006]
  • A genetic algorithm tutorial
    Volume 4 , no . 2 , pp . 65-85 . [1994]
  • 20. Langenbrunner N ,Weaver M ,Dunn M G ,Padova C ,Barton J , 2014, ¡°Dynamic Response of a Metal and a CMC Turbine Blade During a Controlled Rub Event Using a Segmented Shroud¡±, ASME Turbo Expo : Turbine Technical Conference and Exposition, V07BT33A027.