Condition monitoring of operating spindle based on stochastic subspace identification

ASME International Mechanical Engineering Congress and Exposition, Proceedings

Volumn 9 PART B, Issue , 2008, Pages 1129-1136

  Gao, Robert X ^a   Yan, Ruqiang ^a   Zhang, Li ^b   Lee, Kang B ^c  

^a University of Massachusetts   (United States)

^b GENERAL ELECTRIC COMPANY   (United States)

^c NATIONAL INSTITUTE OF STANDARDS AND TECHNOLOGY   (United States)

Author keywords

Condition monitoring; Non intrusive testing; Spindle; Structural dynamics; Subspace identification

Indexed keywords

CONDITION MONITORING; FAULT DETECTION; ROTATION; EQUIPMENT TESTING; IDENTIFICATION (CONTROL SYSTEMS); MACHINE TOOLS; MODAL ANALYSIS; PARAMETER ESTIMATION; STOCHASTIC SYSTEMS; STRUCTURAL DYNAMICS;

NON-INTRUSIVE TESTING; SUBSPACE IDENTIFICATION; BUILT-IN SELF-DIAGNOSIS; LOAD COMBINATION; MODAL PARAMETERS; NON-INTRUSIVE; SPINDLE; SPINDLE ROTATION; STOCHASTIC SUBSPACE IDENTIFICATION;

STRUCTURAL DYNAMICS; CONDITION MONITORING;

EID: 44349142280     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1115/IMECE2007-41988     Document Type: Conference Paper

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