Estimating Remaining Useful Life with Linear Mixed Effects Models
Constructing the Health Index on New Data Using Trained Weights
Fitting a Health Index Model from Multivariate Signals
Fitting the Linear Mixed Effects Model
Plot Degradation Trajectories for Multiple Units
Predicting Remaining Useful Life (RUL) from Degradation Signals
Probability of Remaining Useful Life (RUL) Falling Within a Time Horiz...
Quantiles of the Remaining Useful Life (RUL) Distribution
Provides tools for estimating the Remaining Useful Life (RUL) of degrading systems using linear mixed-effects models and creating a health index. It supports both univariate and multivariate degradation signals. For multivariate inputs, the signals are merged into a univariate health index prior to modeling. Linear and exponential degradation trajectories are supported (the latter using a log transformation). Remaining Useful Life (RUL) distributions are estimated using Bayesian updating for new units, enabling on-site predictive maintenance. Based on the methodology of Liu and Huang (2016) <doi:10.1109/TASE.2014.2349733>.