ASPECTS REGARDING TO THE DESIGN OF THE FEATURE EXTRACTION ALGORITHMS USED AT STRUCTURAL HEALTH MONITORING SYSTEMS

摘要

THE PAPER PRESENTS A GRAPHICAL PROGRAMMING ALGORITHM WHICH CAN BE APPLIED IN SIGNAL PROCESSING IN ENGINEERING AREA, FOR STRUCTURAL HEALTH MONITORING SYSTEMS. THE MAIN PURPOSE OF THIS ALGORITHM IS TO EXTRACT THE FEATURE FROM A NOISED SIGNAL BY TWO DIFFERENT METHODS: DENOISING (NOISE REMOVAL) WAVELET TRANSFORMS METHOD AND WHITE NOISE CORRELATION METHOD. USING A GRAPHICAL PROGRAMMING ENVIRONMENT, LABVIEW (LABORATORY VIRTUAL INSTRUMENTATION ENGINEERING WORKBENCH), IT DEVELOPED TWO DIFFERENT FEATURE EXTRACTION APPLICATIONS. BY THE SIGNAL ANALYSIS AND PROCESSING TOOLS IT WAS REALIZED A COMPARISON BETWEEN THE TWO METHODS.