Systems and methods for fluid end early failure prediction

A method of monitoring hydraulic fracturing equipment, comprising:

• training a machine learning model on training data obtained from a plurality of hydraulic fracturing operations, the training data including a corpus of operational data associated with the hydraulic fracturing operations and corresponding health conditions associated with one or more hydraulic fracturing equipment;
• receiving a set of operational data associated with an active hydraulic fracturing operation;
• processing the set of operational data using the trained machine learning model;
• and
• determining, based on the trained machine learning model and the input set of operational data, one or more estimated health conditions of a hydraulic fracturing equipment used in the active hydraulic fracturing operation.

A hydraulic fracturing system, comprising:

• a pump comprising a fluid end;
• one or more additional hydraulic fracturing equipment;
• a plurality of sensors configured to measure a plurality of operational parameters of the hydraulic fracturing system during an active hydraulic fracturing operation;
• and
• a control system, the control system configured to:
• receive a set of operational data associated with the active hydraulic fracturing operation, the set of operational data including the plurality of operational parameters;
• process the set of operational data using a trained machine learning model;
• and
• determine, based on the trained machine learning model and the set of operational data, one or more estimated health conditions of the fluid end.