- 期刊
Integrated Diagnostics and Prognostics of Rotating Machinery
摘要
This paper provides an overview of current research efforts in integrated diagnostics and prognostics of rotating machinery. Specifically, the following topics are discussed: sensing techniques and sensors; signal detection, identification and extraction; classification of faults; predictive failure models; data/model fusion; information management; and man-machine interface. Technical issues, recommendations, and future research directions are also addressed.
延伸閱讀
- 張家豪、蘇郁仁、黃威（2022）。Diagnostic Technology for Plasma Ion Energy Distribution。機械工業雜誌，(475)，45-53。https://www.airitilibrary.com/Article/Detail?DocID=P20171221002-202210-202210050014-202210050014-45-53
- 何柏緯（2014）。Integration of Heterogeneous Materials and Processes for a Micro-rotor Engine〔碩士論文，淡江大學〕。華藝線上圖書館。https://doi.org/10.6846/TKU.2014.00345
- YANG, B. S., PARK, C. .., & KIM, H. J. (2000). An Efficient Method of Vibration Diagnostics for Rotating Machinery using a Decision Tree. International Journal of Rotating Machinery, 2000(), 19-27. https://doi.org/10.1155/S1023621X00000038
- Kawamura, S., Niimi, K., Kato, Y., & Minamoto, H. (2012). Stepwise Diagnosis for Rotating Machinery Using Force Identification Approach. Advances in Acoustics and Vibration, 2012(), 259-269. https://doi.org/10.1155/2012/389053
- SEIBOLD, S., & FRITZEN, C. P. (1995). Identification Procedures as Tools for Fault Diagnosis of Rotating Machinery. International Journal of Rotating Machinery, 1995(), 267-275. https://doi.org/10.1155/S1023621X9500011X