Diagnosis and Prediction of Servo Motor System of High Speed Winder Based on SiePA
Author:
Affiliation:
1. Ningbo Cigarette Factory, China Tobacco Zhejiang Industrial Co., Ltd.,Ningbo,China,315504
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10471591/10471598/10471601.pdf?arnumber=10471601
Reference12 articles.
1. Study review and prospect of intelligent fault diagnosis technique [J];Li;Computer Engineering and Design,2013
2. Fault diagnosis method based on precise frequency domain integral and vibration severity[J];Jiang;ICIC Express Letters, Part B: Applications,2016
3. Predictive operation and maintenance system for slag micro powder vertical mill based on Siemens Siepa [J];Du;Modern Transportation and Metallurgical Materials,2022
4. A Deep Learning-based Method for Machinery Health Monitoring with Big Data
5. Machine learning identifies girls with central precocious puberty based on multisource data
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