… fault diagnosis method based on meta-learning, named meta-transfer learning with freezing
operation (… is adopted by MTLFO, and a freezing operation is used to deal with the neuronal …

… from normal and faulty ball bearing operations. The data includes vibrations acquired at the
… freezing-based parameter transfer approach to perform vibration-based fault diagnosis in …

… was successfully applied to the fault diagnosis of ISACS. It not … In this study, the operation
data of all chillers were collected … In ISACS, USRT is the unit of freezing capacity of the chiller, …

… operation data spanning up to 10 years. More than 10 attributes are recorded from the freezing
… Guiding the fault diagnosis algorithms developments as well as the design of resembling …

… If the temperature is too low, the heat exchanger will freeze. … during actual operation. For
the other faults, the fault diagnosis accuracy rate of the reduced evaporator water flow in local …

… It is better to conduct FT-based TL by freezing only the bottom NN layers (ie, Cl 1- Cl3 of FT
this study) but letting the rest of top layers to adjust for the FD task. FT with larger than three …

… by analysing the combinations of the fault diagnosis … the water is taken out during this
freezing process, the solution … In summary, the properties of binary ice and the operation …

… [24] developed a fuzzy rule-based system where freeze index… [31], and fault diagnosis
using vibrational signal [32]. The … normalization and drop-out operation have little influence on …

… Bearing faults would affect the equipment operation and cause the whole rotary … freezing
(SPF) strategy based on 1D CNN and achieved the rolling element bearings fault diagnosis. …

… capability and explore the effect of freezing different numbers of convolutional layers on the
… and enables fault diagnosis under different operating conditions through model transferring. …