Static Model Identification for Sendzimir Rolling Mill Using Noise Corrupted Operation Data

A Cold Rolling Mill Model for Unwinding Diagnosis

A model is presented which describes the uncoiling process of a rolling mill in fault-less and in faulty situations. This model is implemented in the DYMOLA modelling and simulation environment. It is used for two purposes: first for the simulation of the unwinding process and second for model-based fault diagnosis. For the latter diagnostic task, a simplified model is derived. Results of the s...

Enhancement of Noise - Corrupted Speech Using Sinusoidal

This thesis proposes a method for the single-sensor enhancement of speech that has been corrupted by additive broadband noise. The method is based on a technique known as Sinusoidal Analysis-Synthesis (SAS) and involves two steps. First, sinusoidal tracks relevant to the speech alone are extracted from the short-time spectrum of the corrupted speech. Secondly, extracted tracks are processed to ...

A noise estimation method for corrupted correlated data

Riassunto: La rilevazione dei dati, sia nel dominio del tempo che in quello dello spazio, dà luogo in molti casi ad osservazioni caratterizzate dalla presenza di un errore di misura. Una stima di tale componente, che impedisce l’osservazione del fenomeno oggetto di studio (segnale), deve necessariamente precedere l’identificazione del modello di interesse. Obiettivo del presente lavoro è quello...

Rolling Mill Optimization Using an Accurate and Rapid New Model for Mill Deflection and Strip Thickness Profile

This work presents improved technology for attaining high-quality rolled metal strip. The new technology is based on an innovative method to model both the static and dynamic characteristics of rolling mill deflection, and it applies equally to both cluster-type and non cluster-type rolling mill configurations. By effectively combining numerical Finite Element Analysis (FEA) with analytical sol...

Stiffness analysis method of rolling mill based on process data