Planetary gearboxes have various merits in mechanical transmission, but their complex
structure and intricate operation modes bring large challenges in terms of fault diagnosis …

Fault diagnosis and prognosis (FDP) tries to recognize and locate the faults from the
captured sensory data, and also predict their failures in advance, which can greatly help to …

Remaining useful life (RUL) prediction plays a crucial role in bearing health management
which can guarantee the rotating machinery systems' safety and reliability. This paper …

Sensor techniques and emerging CNN models have greatly facilitated the development of
collaborative fault diagnosis. Existing CNN models apply different fusion schemes to …

The prognosis of bearings is vital for condition-based maintenance of rotating machinery.
This article proposes a systematic prognostic scheme for rolling element bearings. The …

Privacy protection as a major concern of the industrial big data enabling entities makes the
massive safety-critical operation data of a wind turbine unable to exert its great value …

Intelligent fault diagnosis has attracted intensive efforts in machine predictive maintenance.
However, the structural information from multi-sensor signals has not been fully investigated …

In recent years, meta-learning has gained increasing attention in the field of fault diagnosis
due to its advantages of handling small samples and exhibiting fast adaptation across …

When the machinery device operates abnormally, it is not sufficient for fault detection only
via extracting fault features from a single sensor due to the latent fault information may be …

Abstract Laser Additive Manufacturing (LAM) presents unparalleled opportunities for
fabricating complex, high-performance structures and components with unique material …