| Title |
An Algorithm of Diagnosing Eccentricity in Single Stand Rolling Mill |
| Authors |
Jae-young Jeon ; Hyun-seung Kim ; Hai-young Lee |
| Abstract |
This paper presents an algorithm of detecting eccentricity signal and diagnosing the cause in rolling process. A designed technique uses only the outputs of load cell and tachometer, which are generally utilized in rolling process, and need not any additional sensors. Detecting signals related to eccentricity is done by combining outputs of 6 digital bandpass filters whose center frequency are varied with roll"s rotating frequency. A function of diagnosing the cause of eccentricity from extracted data having eccentricity components is implemented by defining reasonable variables. In order to show validity of an algorithm designed in this paper, simulation was accomplished for three groups. The first is that some portion of roll in the direction of roll circumference is distorted. The second is that rotating axis and roll center is not identical. The third is that composite cause is occurred. Simulation results show that every kind of eccentricity can be diagnosed in terms of algorithm proposed. |