Extracting information entropy features for rotating machinery vibration signals

Jixie Gongcheng Xuebao/Chinese Journal of Mechanical Engineering

Volumn 37, Issue 6, 2001, Pages 94-98

  Shen, Tao ^a   Huang, Shuhong ^a   Han, Shoumu ^a   Yang, Shuzi ^a  

^a HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Information entropy; Information fusion; Rotating machinery; State evaluation

Indexed keywords

ENTROPY; FEATURE EXTRACTION; FREQUENCY DOMAIN ANALYSIS; SENSOR DATA FUSION; VIBRATIONS (MECHANICAL);

INFORMATION ENTROPY; STATE EVALUATION; VIBRATION SIGNAL;

ROTATING MACHINERY;

EID: 0035382446     PISSN: 05776686     EISSN: None     Source Type: Journal    
DOI: 10.3901/jme.2001.06.094     Document Type: Article

References (6)

1. Singular-spectrum analysis: A toolkit for short, noisy chaotic signals
2. Fault features of large rotating machinery and diagnosis using sensor fusion
3. Orbit complexity: A new criterion for evaluating the dynamic quality of rotor system