Welding system, welding method, welding support device, program, learning device, and method of generating trained model

A welding method comprising:

• detecting an event according to welding performed by a welding device by a plurality of sensors in different types;
• and
• estimating an abnormality of the welding performed by the welding device from a plurality of pieces of detection data generated by the plurality of sensors, using a trained model that is pre-generated by machine-learning by taking, as input data, a plurality of pieces of data for learning obtained by detecting events according to welding by same types of sensors as the plurality of sensors, and, as training data, labels representing whether the welding is normal or abnormal.

A welding support device comprising:

• an acquisition unit that acquires a plurality of pieces of detection data generated by a plurality of sensors in different types, which detect an event according to welding performed by a welding device;
• and
• an estimation unit that estimates an abnormality of the welding performed by the welding device from the plurality of pieces of detection data generated by the plurality of sensors, using a trained model that is pre-generated by machine-learning by taking, as input data, a plurality of pieces of data for learning obtained by detecting events according to welding by same types of sensors as the plurality of sensors, and, as training data, labels representing whether the welding is normal or abnormal.

A program causing a computer to execute a process comprising:

• acquiring a plurality of pieces of detection data generated by a plurality of sensors in different types, which detect an event according to welding performed by a welding device;
• and
• estimating an abnormality of the welding performed by the welding device from the plurality of pieces of detection data generated by the plurality of sensors, using a trained model that is pre-generated by machine-learning by taking, as input data, a plurality of pieces of data for learning obtained by detecting events according to welding by same types of sensors as the plurality of sensors, and, as training data, labels representing whether the welding is normal or abnormal.

A learning device comprising:

• an acquisition unit that acquires a data set for learning including a plurality of pieces of data for learning obtained by detecting events according to welding by a plurality of sensors in different types, and labels representing whether the welding is normal or abnormal;
• and
• a learning unit that generates a trained model to estimate an abnormality of welding from a plurality of pieces of detection data obtained by detecting events according to welding with same types of sensors as the plurality of sensors, by taking the plurality of pieces of data for learning as input data, and the labels as training data.

A method of generating a trained model, the method comprising:

• acquiring a data set for learning including a plurality of pieces of data for learning obtained by detecting events according to welding by a plurality of sensors in different types, and labels representing whether the welding is normal or abnormal;
• and
• generating a trained model to estimate an abnormality of welding from a plurality of pieces of detection data obtained by detecting events according to welding with same types of sensors as the plurality of sensors, by taking the plurality of pieces of data for learning as input data, and the labels as training data.