… (RS), to roughly measure the information capacity of vibrational signal datasets. Leveraging
RS, we present a focused experimental design that addresses information insufficiency. …

… , the ER theory was used to fuse the diagnostic results of multi-source testing information. …
In order to analyze which CNN model is the most suitable for this fault diagnostic scenario, we …

… as it not only takes into account the information at the current time step, but also stores the
… fault diagnosis rate represents the ratio of the amount of correctly diagnosed faults (the fault …

… with data insufficiency in diagnostic scenarios, which couples the simulation data and the
experimental data effectively and it is applied in FRA intelligent fault diagnosis of transformers. …

… fault diagnosis is how to capture the feature representation of the data of different categories
with limited information… the scarcity of fault samples, but by the insufficiency and imperfection …

… in the current wind turbine fault diagnosis, a new method based on heterogeneous information
fusion is … information, which makes up for the insufficiency of traditional relying on single …

… The goal of this thesis is to overcome the data insufficiency in fault diagnosis problem. For
this, three thrusts are proposed. The first thrust is a novel architecture of neural network for …

… Multi-sensor information fusion (IF) has attracted the attention of many researchers in different
fields because it can improve modeling accuracy by integrating information gathered from …

… fault diagnosis, which is recognized as a promising and efficient way in many studies [2].
Although much information … As can be seen, data insufficiency has been a major and practical …

… On this basis, the LWMIML network is designed to make up for the insufficiency of IG to find
… fault diagnosis of multi-sensors information fusion for rolling bearings: A review,” Int. J. Adv. …