It is inevitable for gear to become damaged, which has a profound effect on the performance
of gear transmission systems. Solving the problem of gear fault detection using artificial …

Automatic detection of casting defects on radiography images is an important technology to
automatize digital radiography defect inspection. Traditionally, in an industrial application …

The label scarcity problem widely exists in industrial processes. In particular, samples of
some fault types are extremely rare; even worse, the samples of certain faults cannot be …

Condition monitoring of rotor-bearing systems using artificial intelligence has great
significance to guarantee the reliability and security of mechanical systems. However, in …

Molecular biology studies on cancer, using gene expression datasets, have revealed that
the datasets have a very small number of samples. Obtaining medical data is difficult and …

One of the most significant and growing research fields in mechanical and civil engineering
is structural reliability analysis (SRA). A reliable and precise SRA usually has to deal with …

Large-scale introduction of new energy could effectively alleviate energy shortage and
environmental pollution. However, the uncertainty of wind and solar energy brings serious …

The denoising of mechanical system is always an indispensable process in sensor signal
analysis. It directly affects the result of subsequent tool state monitoring and identification …

Due to the non-cognition of real-time data, rare loss-based risk warning methods can
effectively respond to unexpected emergencies. Machine learning has powerful data …

Fault diagnosis that identifies the root of the abnormal status is of great importance to
eliminate faults in the complex chemical processes. Many data-driven fault diagnosis …