Description:
Published: 6 Jun 2023 1) Provides both practical and theoretical background of RUL 2) Describes how the uncertainty of RUL can be related to RUL loss rate 3) Provides new insights into time-to-failure distributions 4) Offers tools for predictive maintenance
