Methods and apparatus to predict machine failures

A method, comprising:

• generating a model including a correlation between a first machine failure and first probable parts used to repair the first machine failure;
• text mining first alert data to identify the first machine failure within the first alert data;
• identifying a first alert sequence associated with the first machine failure;
• and
• updating the model by correlating the first alert sequence with the first machine failure and the first probable parts used to repair the first machine failure.

An article of manufacture comprising instructions, which, when executed, cause a machine to at least:

• access a first alert sequence from a work vehicle;
• compare the first alert sequence to a model, the model including an association between reference alert sequences, reference machine failures, and probable parts used to repair the respective reference machine failures;
• identify a substantial similarity between the first alert sequence and a first reference alert sequence of the reference alert sequences;
• and
• based on the model and the first reference alert sequence, identify first probable parts of the probable parts used to repair a first reference machine failure of the reference machine failures, where the first reference machine failure is associated with the first reference alert sequence.