US 11,681,285 B2
Determining drive system anomalies based on power and/or current changes in an irrigation system
Russell Sanders, Minnetonka, MN (US); and Jeremie Pavelski, Wisconsin Rapids, WI (US)
Assigned to HEARTLAND AG TECH, INC., Hancock, WI (US)
Filed by Heartland Ag Tech, Inc., Hancock, WI (US)
Filed on Jan. 4, 2022, as Appl. No. 17/568,191.
Claims priority of provisional application 63/133,542, filed on Jan. 4, 2021.
Prior Publication US 2022/0214682 A1, Jul. 7, 2022
Int. Cl. G05B 23/02 (2006.01)
CPC G05B 23/0283 (2013.01) 20 Claims
OG exemplary drawing
 
1. A predictive maintenance system for an irrigation system including a drive system, the predictive maintenance system comprising:
at least one sensor configured to measure an amount of a reactive power and generate a signal indicative of abnormal operation within the irrigation system, the sensor electrically coupled to the drive system;
a processor; and
a memory, including instructions stored thereon, which when executed by the processor cause the predictive maintenance system to:
receive the generated signal;
determine a tire condition of a tire of the drive system based on the generated signal; and
predict, by a machine learning model, a maintenance requirement of the drive system based on the determined tire condition, wherein the maintenance requirement is predicted by:
generating, based on the received sensor signal, a data structure that is formatted to be processed through one or more layers of a machine learning model, wherein the data structure includes one or more fields structuring data;
processing data that includes the data structure, through each of the one or more layers of the machine learning model that have been trained to predict a likelihood that a particular piece of the drive system may require maintenance; and
generating, by an output layer of the machine learning model, an output data structure, wherein the output data structure includes one or more fields structuring data indicating a likelihood that a particular piece of equipment may require maintenance.