Method for estimating the remaining service life of subject equipment

A method for estimating a Remaining Useful Life of a subject equipment, comprising a preliminary phase comprising the following steps:

• acquire test observations on test equipment devices (1a, 1b, 1c, 1d) similar to the subject equipment (step 10);
• produce, from the test observations, test time series (Sx) of at least one signature;
• partition the test time series to obtain severity classes corresponding to ageing phases of the test equipment devices (step 14);
• carry out a first learning of a diagnosis model on the test equipment devices (step 45);
• perform a second learning of a prediction model of the signature (step 51);
• and an operational phase comprising the following steps:
• acquire observations when in operation on the subject equipment;
• produce an extrapolated time series representative of the evolution of the signature on the subject equipment using the prediction model;
• classify the extrapolated time series using the diagnosis model;
• calculate a membership function of the extrapolated time series to the severity classes;
• deduce, from the membership function, the Remaining Useful Life of the subject equipment, the estimated Remaining Useful Life being such that:
• =q−t
• where q is an estimated end-of-life time and t is a current time, and where, at the estimated end-of-life time q, the last severity class membership function becomes greater than the penultimate severity class membership function.