How to predict constant failing of equipment
You should try to frame as a prediction problem. Clearly define the target and then map that target to a technique:

Mean time before failure (Survival analysis)
Failure rates per million hours (Estimate Poisson distribution)
Failure within a time window (Binary classification)

Generally, Bayesian methods are used because the sparse available data can be used as a prior.