Konferensartikel

The development of steel products with various characteristics increases the need for timely and preventive maintenance and condition monitoring of the production machinery. For instance, the roller levelers at modern steel factories are exposed to a high variation of forces due to the large range of steels leveled. In this study, the vibration measured from a steel leveler used for cold steel strips is analyzed with the goal to identify the effects different operational conditions have. Features such as generalized norms, generalized norm sums and the crest factor are computed from the vibration signals. The effects of the steel strip properties and the operational parameters of the machine on these features are then analyzed. The obtained information can be utilized in the models that are used as planning tools for the preventive maintenance of the steel leveler.

feature extraction, roller leveling, signal processing, vibration