Training an artificial intelligence module for industrial applications

A computer-implemented method of generating a training data set for training an artificial intelligence module (AI module), comprising:

• providing, on a data storage, a first data set and a second data set, wherein the first data set includes one or more first data elements indicative of a first operational condition of an industrial system, wherein the second data set includes one or more second data elements indicative of a second operational condition of the industrial system, and wherein the first operational condition substantially matches the second operational condition;
• determining a data transformation for transforming the one or more first data elements of the first data set into the one or more second data elements of the second data set;
• applying the determined data transformation to the one or more first data elements of the first data set and/or to one or more further data elements of one or more further data sets, thereby generating a transformed data set;
• and
• generating a training data set for training the AI module based on at least a part of the transformed data set, wherein at least one of the first data set and the second data set includes failure data descriptive of an operational failure of the industrial system, and wherein at least one of the first data set and the second data set includes nominal operational data descriptive of a nominal operation of the industrial system.