Abstract: A train control system uses sensory inputs related to operational parameters of a train for automatically scoring or classifying particular train driving strategies implemented by a machine learning model for a particular train operating on a predefined route or route segment. The train control system includes one or more predefined rules related to one or more of a first set of the operational parameters, wherein each of the rules defines a Boolean, true or false classification based on whether a particular train driving strategy results in one or more of the first set of operational parameters complying with the rule. One or more comparative key performance indicators are related to one or more of a second set of operational parameters, and are used to rank the particular train driving strategy for the predefined route or route segment relative to a different train driving strategy for the same or comparable route or route segment.

Abstract: A punching unit for punching holes of a selected geometry in a wall of a component. The punching unit has a frame for supporting the component and the tool and die assembly releaseably securable to the frame. Tool and die assembly has a punch operatively coupled to a mandrel and a male die member and a female die member cooperating to form the hole in the wall. A portion of the tool and die assembly is interchangeable to provide a selected one of a plurality of predetermined hole geometries for the component.

Abstract: A punching unit for punching holes of a selected geometry in a wall of a component. The punching unit has a frame for supporting the component and the tool and die assembly releaseably securable to the frame. Tool and die assembly has a punch operatively coupled to a mandrel and a male die member and a female die member cooperating to form the hole in the wall. A portion of the tool and die assembly is interchangeable to provide a selected one of a plurality of predetermined hole geometries for the component.