The theoretical developments of data-driven fault diagnosis methods have yielded fruitful
achievements and significantly benefited industry practices. However, most methods are …

Axial piston pump plays a pivotal role in a hydraulic transmission system since it can supply
the core power source. The complexity of structure and the invisibility of failure feature bring …

For accurately identifying the crack severity of turbine blades, a novel intelligent diagnosis
framework is proposed in our paper, which uses multiscale sparse filtering (MSF)-based …

A non-parametric complementary ensemble empirical mode decomposition (NPCEEMD) is
proposed for identifying bearing defects using weak features. NPCEEMD is non-parametric …

As the core for the lubrication and operation of space ball bearing, the porous non-metallic
cage with oil-impregnated will cause catastrophic results in case of fault. The principal used …

During fire emergencies, people in large infrastructures are difficult to comprehend real-time
fire dynamics and identify available evacuation routes, leading to lengthy evacuation time …

Surface damage detection is vital for diagnosis and monitoring of aeroengine blade. At
present, borescope inspection is the dominant technology. Several inspectors hold …

The broad learning system-based data processing method has been widely used in the field
of industrial intelligent operation and maintenance, and has achieved impressive results …

Aiming at the problem of poor consistency between the enhanced samples and the original
samples in the current data enhancement methods. In this paper, we propose a data …

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 …