CPC G05B 23/0283 (2013.01) | 20 Claims |
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.
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