Independent mover analysis systems and methods

A method, comprising:

• determining, by one or more processors coupled with memory, based on a first plurality of input parameters, a scaling factor;
• generating, by one or more processors, based on a second plurality of input parameters, an offset;
• determining, by one or more processors, based on the scaling factor and the offset input into a machine learning (ML) model trained on a plurality of input parameters that include at one of the first plurality of input parameters and at least one of the second plurality of input parameters, a state of health;
• mapping, by one or more processors, the state of health to a mover of a plurality of movers configured to travel along a track;
• and
• outputting, by one or more processors, an indication of the state of health mapped to the mover to be display a computing device.

A system of track-based parameter determination, comprising:

• one or more processors, coupled with memory, to:
• determine a scaling factor based on a first plurality of input parameters;
• generate an offset based on a second plurality of input parameters;
• determine, based on the scaling factor and the offset, a state of health;
• map the state of health to a component of a track-based mover system;
• and
• output an indication of the state of health mapped to the track-based mover system to display by a computing device.