Abstract The Complementary Metal-Oxide Semiconductor (CMOS) image sensor is a critical
component with the function of providing accurate positioning in many space application …

Deep network fault diagnosis requires a lot of labeled data and assumes identical data
distributions for training and testing. In industry, varying equipment conditions lead to …

Satellite power system (SPS) fault detection is of great significance to ensure the safety and
stability of satellites. On-orbit SPS can divide 11 near-mutation operating conditions (OCs) in …

Facing the demand of the electromagnetic interference (EMI) shielding applications for
metallic mesh detection, this article introduces a weighted robust principal component …

Recent advances in intelligent rotating machinery fault diagnosis have been enabled by the
availability of massive labeled training data. However, in practical industrial applications, it is …

Flotation separation is the most important upgrading critical raw material technique.
Measuring interactions within flotation variables and modeling their metallurgical responses …

Fault detection plays a pivotal role in ensuring safety and efficiency in process industries.
Subspace learning-based fault detection methods have gained recognition for their effective …

Zero-shot learning is a promising technique for diagnosing mechanical faults in complex
and uncertain environments. However, when diagnosing mechanical faults across different …

Fault diagnosis plays a crucial role in ensuring the safety and efficiency of industrial
processes. However, traditional techniques often face difficulties in handling large-scale …

Fault diagnosis in satellite attitude control systems is crucial for ensuring the operation and
maintenance of satellites. However, current methods face challenges in achieving the …