… Thousands of identical tubes in a SG are exposed to the same operating conditions, and
therefore the degradation of each tube can be treated as a random variable in a statistical …

… the prediction accuracy. The HIs of voltage and power are usually used under static conditions
… be directly used under the dynamic operating conditions because they are sensitive to the …

… A Weibull Accelerated Failure Time Regression model is presented for bearing remaining
useful life prediction that considers operating conditions and condition monitoring signal …

… Therefore, in this section, we take advantage of this property and propose a F2S2 method
for RUL prediction under time-varying operating conditions. The flowchart of the F2S2 method …

… of prediction accuracy under variable operating conditions, … ) for RUL prediction under
variable operating conditions and … and operating condition data to achieve RUL prediction under …

… data are from the same operating condition. In the real industries… method for remaining useful
life predictions using deep … are from different machinery operating conditions, and no target-…

… , RUL prediction under time-varying operating conditions is … prediction under time-varying
operating conditions. Specially, two critical effects caused by time-varying operating conditions …

… evolving in response to the operating conditions. The model is combined … the operating
conditions to predict the unit's RUL through a Bayesian technique. When the operating conditions …

… life of rolling element bearings grew out of the need for life … and operating conditions. In the
intervening 40 years, the LP approach has been successful in making relative life predictions …

… Nevertheless, these two HIs are more suitable for static operating conditions and assume …
operating conditions, the voltage and power are synthetically influenced by the operating …