ELECTROCHEMICAL IMPEDANCE PATTERN RECOGNITION FOR DETECTION OF MICROBIALLY INFLUENCED CORROSION

THE PROJECT ADDRESSES THE NEED FOR DIAGNOSTIC INSTRUMENTATION TO DETECT THE PRESENCE OF MICROBIALLY INFLUENCED CORROSION (MIC) OCCURRING AT METAL SURFACES. THE APPROACH IS DIRECTED TOWARD DEVELOPMENT OF PATTERN RECOGNITION SCHEMES BASED UPON THE ON-LINE ACQUISITION OF ELECTROCHEMICAL IMPEDANCE SPECTRA USING FAST FOURIER TRANSFORM ELECTROCHEMICAL IMPEDANCE SPECTROSCOPY (FFTEIS) INSTRUMENTATION FROM THE SUSPECT CORROSION SITE. THIS IS FOLLOWED BY IMPLEMENTATION OF A DATA ANALYSIS APPROACH KNOWN AS PRINCIPAL COMPONENTS ANALYSIS (PCA) TO THE IMDEPANCE DATA OBTAINED. THE RESULTING PCA TRANSFORMED DATA IS THEN UTILIZED BY SOFTWARE-BASED PATTERN RECOGNITION TECHNIQUES TO CLASSIFY THE MIC CORROSION SITE. THE APPROACH IS HANDLED BY PORTABLE COMPUTER-DRIVEN HARDWARE AND SOFTWARE, AND ON-LINE DETERMINATION OF MIC CORROSION PROCESSES ON-SITE IS ACHIEVABLE.