402f Monitoring and Fault Diagnosis by Multivariate Statistical Methods in Chemical Processes
نویسندگان
چکیده
Ridvan BERBER and Levent AKCAY Process monitoring, early fault detection and diagnosis are important in chemical and manufacturing processes for safety, controlling product quality and minimizing waste. Large multivariable processes are difficult to monitor by traditional methods. The multivariate statistical methods, which systematically reduce the number of related variables and transform the system to a simpler form, are highly developed within the field of chemometrics, but they deserve to be explored and applied to process data in other areas. Previous publications dealing with such cases reported individual applications of such methods, leaving a gap for a comparative study to illustrate the power of these techniques in analyzing, monitoring and diagnosing operational problems.
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