Whether a spindle or a drive unit, most machines and equipment have something inside that’s turning. For this reason, condition monitoring from Katana is often used for vibration analysis. Changes in the known vibration behavior (frequency spectrum) — of, for instance, a ball screw spindle — indicate wear or a defect. Unlike the simple, uninformative determination a threshold value provides, condition monitoring uses AI methods to consider a range of key variables. Anomaly detection clearly identifies faults and defects. Even the source of the disruption is determined — the basis for promptly and systematically rectifying the problem.