Equipment failure prediction
This is supervised learning problem. Type is a predictor. #serviced classifier is target variable. Model is trained on samples set you already have. Best guess is that any model will not have substantual predictive ability. Type is not enough.

Try including more factors (predictors) into the model. Like years_being_in_usage, equipment_model, have_been_in_service_before and so on. The more you get, the better model you can train.