Residual comparison-based similarity model for estimating remaining useful life
UseresidualSimilarityModel
to estimate the remaining useful life (RUL) of a component using a residual comparison-based similarity model. This model is useful when you have degradation profiles for an ensemble of similar components, such as multiple machines manufactured to the same specifications, and you know the dynamics of the degradation process. The historical data for each member of the data ensemble is fitted with a model of identical structure. The degradation data of the test component is used to compute 1-step prediction errors, or residuals, for each ensemble model. The magnitudes of these errors indicate how similar the test component is to the corresponding ensemble members.
To configure aresidualSimilarityModel
object, usefit
, which trains and stores the degradation model for each data ensemble member. Once you configure the parameters of your similarity model, you can then predict the remaining useful life of similar components usingpredictRUL
. For similarity models, the RUL of the test component is estimated as the median statistic of the lifetime span of the most similar components minus the current lifetime value of the test component. For a basic example illustrating RUL prediction, seeUpdate RUL Prediction as Data Arrives.
For general information on predicting remaining useful life, seeModels for Predicting Remaining Useful Life.
creates a residual comparison-based similarity model for estimating RUL and initializes the model with default settings.mdl
= residualSimilarityModel
creates a residual comparison-based similarity model and initializes the model parameters using an existingmdl
= residualSimilarityModel(initModel
)residualSimilarityModel
objectinitModel
.
specifies user-settable model properties using name-value pairs. For example,mdl
= residualSimilarityModel(___,Name,Value
)hashSimilarityModel('LifeTimeUnit',"days")
creates a residual comparison-based similarity model that uses days as a lifetime unit. You can specify multiple name-value pairs. Enclose each property name in quotes.
predictRUL |
Estimate remaining useful life for a test component |
fit |
Estimate parameters of remaining useful life model using historical data |
compare |
Compare test data to historical data ensemble for similarity models |