TY - GEN
T1 - Monitoring and diagnosis technique on slewing bearing
AU - Liu, Zhijun
AU - Chen, Jie
PY - 2011
Y1 - 2011
N2 - Slewing bearing is widely used in engineering machinery, wind power generation, rotating restaurant and so on. Therefore, it is essentail to a study of monitoring and daiagnosis technique for slewing bearing. In this article, slewing bearing monitoring and diagnosis technique based on the singal of vibration, temperature, friction torque, acoustic emission, stress wave are introduced, including the methods of singal processing, especially Hilbert-Huang Transform (HHT), Ensemble Empirical Mode Decomposition-Based Multiscale Principal Component Analysis (EEMD-MSPCA) for local fault singal processing are detailed described. At last, various methods are compared.
AB - Slewing bearing is widely used in engineering machinery, wind power generation, rotating restaurant and so on. Therefore, it is essentail to a study of monitoring and daiagnosis technique for slewing bearing. In this article, slewing bearing monitoring and diagnosis technique based on the singal of vibration, temperature, friction torque, acoustic emission, stress wave are introduced, including the methods of singal processing, especially Hilbert-Huang Transform (HHT), Ensemble Empirical Mode Decomposition-Based Multiscale Principal Component Analysis (EEMD-MSPCA) for local fault singal processing are detailed described. At last, various methods are compared.
KW - Fault diagnosis
KW - Monitoring
KW - Slewing bearing
UR - http://www.scopus.com/inward/record.url?scp=78650832408&partnerID=8YFLogxK
U2 - 10.4028/www.scientific.net/AMR.156-157.1478
DO - 10.4028/www.scientific.net/AMR.156-157.1478
M3 - 会议稿件
AN - SCOPUS:78650832408
SN - 9780878492053
T3 - Advanced Materials Research
SP - 1478
EP - 1483
BT - Advanced Manufacturing Technology
T2 - 2010 International Conference on Advances in Materials and Manufacturing Processes, ICAMMP 2010
Y2 - 6 November 2010 through 8 November 2010
ER -