Abstract :
Signature analysis of small, complex, cyclic mechanisms is discussed. An envelope preprocessor for isolating signal events relating to mechanical impacts is developed. A recognition system based on second-order (normal) statistics is used and the use of statistical procedures for signature intepretation is presented. Experimental evidence is presented to support the validity of this approach to mechanical diagnostics signature analysis.
Keywords :
Diagnostic systems, envelope detection, mechanical diagnostics, pattern recognition, preprocessing, second-order statistics (or normal or Gaussian), signal analysis, signal averaging, signature analysis, time trends.; Additive noise; Feature extraction; Frequency; Independent component analysis; Mechanical sensors; Pattern analysis; Pattern recognition; Signal analysis; Signal processing; Vibrations; Diagnostic systems, envelope detection, mechanical diagnostics, pattern recognition, preprocessing, second-order statistics (or normal or Gaussian), signal analysis, signal averaging, signature analysis, time trends.;
