Abstract: A computer implemented method including receiving first sensor data from a first sensor monitoring an additive manufacturing process, the first sensor data including a plurality of first sensor values; receiving second sensor data from a second sensor monitoring the additive manufacturing process, the second sensor data including a plurality of second sensor values. Each first sensor value and each second sensor value is associated with a corresponding time during the additive manufacturing process at which the sensor value was generated. Analysing the first and second sensor data to identify a first and second anomalous event that occurred in the additive manufacturing process and a corresponding first and second anomalous event time. Identifying whether the first anomalous event is a potential cause of second anomalous event based upon the anomalous event times. Generating an output based upon identification that the first anomalous event is a potential cause of second anomalous event.

Abstract: A method of generating a spatial map of sensor data collected during additive manufacturing, in which a plurality of layers of powder are selectively melted with an energy beam to form an object. The method includes receiving sensor data collected during additive manufacturing of an object, the sensor data including sensor values, the sensor values captured for different coordinate locations of the energy beam during the additive manufacturing of the object, and generating cell values for a corresponding cell-based spatial mapping of the sensor data. Each of the cell values is determined from a respective plurality of the sensor values extending over an area/volume comparable to an extent of the melt pool or the energy beam spot.