Intelligent fault diagnosis, detection, and prognostics (DDP) for complex equipment
prognostics and health management (PHM) have achieved remarkable breakthroughs …

Fault detection and diagnosis play a crucial role in ensuring the reliability and safety of
modern industrial systems. For safety and cost considerations, critical equipment and …

To study the pressure pulsations induced by quasi-steady cavitation in a centrifugal pump,
the pressure pulsations at the pump inlet and outlet were experimentally investigated with …

Due to the spatially dispersed occurrence of faults and the challenges associated with
sensor installation in axial flow pump equipment, an underwater acoustic signal collection …

Since the hydraulic axial piston pump is the engine that drives hydraulic transmission
systems, it is widely utilized in aerospace, marine equipment, civil engineering, and …

In general, training fault samples of aero-engines are very rare and only collected under one
or a few operating conditions. However, due to diverse operating conditions and fault …

Deep learning (DL) has demonstrated splendid performance in fault diagnosis with sufficient
samples and ideal operating environments. However, in practice, it is hard to acquire …

Data augmentation methods, such as SMOTE and deep generative networks, have the
potential to solve class-imbalance issue in aviation hydraulic pump fault diagnosis …

Main circulation pump is the only high-speed rotating equipment in primary loop of nuclear
power plant. Its function is to ensure the normal operation of primary loop system by …

Health indicators (HIs) are used to reflect the current operational status of machines, and
directly affect the remaining useful life prediction. However, most HI construction methods …