Abstract: A method for controlling weld energy used in a welding process. The method includes establishing a weld energy profile having a total weld energy used over the period of the weld cycle. During the welding process, the expulsion rate is monitored and used to modify the weld energy. Based on the expulsion rate occurring during the welding process, the total weld energy can be shifted between various phases or cycles. In addition, the overall amount of or total weld energy can be increased and decreased.

Abstract: A method for controlling weld energy used in a welding process. The method includes establishing a weld energy profile having a total weld energy used over the period of the weld cycle. During the welding process, the expulsion rate is monitored and used to modify the weld energy. Based on the expulsion rate occurring during the welding process, the total weld energy can be shifted between various phases or cycles. In addition, the overall amount of or total weld energy can be increased and decreased.

Abstract: A method for predictive maintenance of a machine includes collecting feature data for the machine which includes a plurality of feature vectors. At least some of the feature vectors are standardized to facilitate compatibility between different vectors. At least some of the standardized feature vectors are transformed into corresponding two-dimensional feature vectors. At least some of the two-dimensional feature vectors are clustered together based on operating modes of the machine. Similar steps are performed on additional feature data collected from the machine. Recently gathered two-dimensional feature vectors are compared to previously clustered feature vectors to provide predictive maintenance information for the machine.