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Mechanical systems and signal processing v.109, 2018년, pp.45 - 57   SCIE SCOPUS
본 등재정보는 저널의 등재정보를 참고하여 보여주는 베타서비스로 정확한 논문의 등재여부는 등재기관에 확인하시기 바랍니다.

Prognosability study of ball screw degradation using systematic methodology

Li, Pin (NSF I/UCR Center for Intelligent Maintenance Systems, Department of Mechanical Engineering, University of Cincinnati, PO Box 210072, Cincinnati, OH 45221-0072, USA ) ; Jia, Xiaodong (NSF I/UCR Center for Intelligent Maintenance Systems, Department of Mechanical Engineering, University of Cincinnati, PO Box 210072, Cincinnati, OH 45221-0072, USA ) ; Feng, Jianshe (NSF I/UCR Center for Intelligent Maintenance Systems, Department of Mechanical Engineering, University of Cincinnati, PO Box 210072, Cincinnati, OH 45221-0072, USA ) ; Davari, Hossein (NSF I/UCR Center for Intelligent Maintenance Systems, Department of Mechanical Engineering, University of Cincinnati, PO Box 210072, Cincinnati, OH 45221-0072, USA ) ; Qiao, Guan (ShanXi Engineering Laboratory for Transmissions and Controls, Northwestern Polytechnical University, Xi'an, China ) ; Hwang, Yihchyun (HIWIN Technologies Corp., No. 7, Jingke Rd., Taichung Precision Machinery Park, Taichung 40852, Taiwan ) ; Lee, Jay (NSF I/UCR Center for Intelligent Maintenance Systems, Department of Mechanical Engineering, University of Cincinn ) ;
  • 초록  

    Abstract As a critical mechanical component that converts rotary motion to linear motion with high precision, the ball screw has drawn a lot of attention in the field of Prognostics and Health Management (PHM). However, prognosis of the ball screw degradation has not been fully discussed yet in the current literature. This paper first justifies the prognosability of a ball screw via experimental studies, then proposes a systematic methodology for ball screw prognosis to implement the fault diagnosis, early diagnosis, health assessment and remaining useful life (RUL) prediction. Meanwhile, sensor-less and sensor-rich strategies are investigated and benchmarked in the experimental studies. The results demonstrate that the ball screw degradation behavior is available for prognosis and the proposed methodology can effectively help users to implement PHM analysis. Besides, the benchmark studies between sensor-less and sensor-rich strategies also achieve several practical conclusions that are valuable for real-world applications. Highlights Two experiments are designed to study the prognosability of ball screw. A systematic methodology for ball screw prognosis is proposed. Sensor-less and sensor-rich strategies are investigated and benchmarked. 98.9% accuracy for fault diagnosis and an observable degradation trend for prognosis.


  • 주제어

    Prognosability .   Prognosis and health management .   Data quality .   Ball screw .   Sensor-less .   Sensor-rich.  

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