Nelinearne multivariatne statistične metode za modeliranje procesov iz zgodovine podatkov za potrebe zaznavanja napak
Bratina, Božidar ; Tovornik, Boris
Multivariate statistical methods proved to be easy to implement and satisfactory for many basic tasks in industry, however simplicity has the consequence to accuracy. To improve fault diagnostic ...system, instead of linearand simple tools, nonlinear techniques were addressed. Multivariate statistical methods, extended to fit nonlinear processes are used for modelingof processes, and can be used in fault detection scheme for sensor/actuator fault detection. Models and fault detection/isolation scheme can be directly implemented to advanced supervisory system to enable on-line monitoring or other support functions for fault detection and diagnosis to avoid process down-time. By understanding normal process operation, even hardly detectable faults can be detected and used to alert operators for possible failure events.
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