The condition monitoring (CM) of rotating machinery (RM) is an essential operation for
improving the reliability of mechanical systems. For this purpose, an efficient CM method that …

Remaining useful life (RUL) refers to the remaining service life of a mechanical system after
it runs for a period. Predicting the remaining service life of the system accurately can greatly …

Helical gearboxes play a critical role in power transmission of industrial applications. They
are vulnerable to various faults due to long-term and heavy-duty operating conditions. To …

In real industrial scenarios, machines work in a healthy condition at most time. Thus, the
number of healthy samples is far more than that of the fault ones. This results in the issue …

The actual health state of a system is difficult to measure in online applications. Hence,
features extracted from the sensor data are usually fused as a composite health index (HI) to …

Degradation modeling and prognostics serve as the basis for system health management.
Recently, various sensors provide plentiful monitoring data that can reflect the system status …

Diagnosis of compound faults is meaningful and challenging in actual industrial
applications. Generally, it is impractical to obtain a sufficient amount of labeled data for the …

Abstract Machine fault detection is a crucial task in prognostics health management (PHM),
while most of the data-driven methods lack model interpretability and transparency. Aiming …

Currently, data-driven machine fault detection and diagnosis is one of the mainstream
methodologies, while most methods simply consider discrimination ability of extracted …

Capacity degradation of lithium-ion batteries largely determines the cost, performance and
environmental impact of various products such as renewable energy production systems …