Brushless doubly fed induction generators (BDFIGs) are promising alternatives to doubly
fed induction generators due to high reliability and low maintenance cost for the absence of …

Rotating machinery can unexpectedly generate many new fault types under changing
operating conditions. The capability of fault diagnostic models to adapt and acquire knowledge …

As a data-driven approach, Deep Learning (DL)-based fault diagnosis methods need to
collect the relatively comprehensive data on machine fault types to achieve satisfactory …

As a principal source of long-chain omega-3 fatty acids (3FAs), which provide vital health
benefits, fish consumption also comes with the additional benefit of being rich in diverse …

Deep slearning (DL)-based fault diagnosis models have to collect the most comprehensive
data of mechanical fault types to ensure reliability. In real scenarios, due to complex, variable …

Deep learning (DL)-based fault diagnosis models need to collect sufficient fault information
for each fault type to ensure high-precision diagnosis. Some unexpected and new fault types …

Explainable artificial intelligence has been extensively studied recently. However, the research
of interpretable methods in the agricultural field has not been systematically studied. We …

Vanadium–titanium magnetite tailings (VTMT) are a common industrial waste in China, which
are harmful to the environment and economic development. The efficient utilization of this …

Rotating machinery may constantly generate new classes of faults in complex operating
environments, with a finite set of fault samples that are obtainable. The incremental nature of …

Grassland, as highly vulnerable ecosystem, requires a comprehensive understanding of its
dynamics and response patterns to climate factors in response to climate change challenges. …