Prognostics and health management (PHM) has developed into a crucial discipline because
of its never-ending pursuit of safety, effectiveness, and dependability. The aircraft Landing …

Blind deconvolution (BD) has been demonstrated to be an efficacious approach for
extracting bearing fault-specific features from vibration signals under strong background …

In the age of Industry 5.0, prognostics and health management (PHM) is very important for
proactive and scheduled maintenance in industrial processes. The target of prognosis is the …

Accurate prediction of remaining useful life (RUL) has been a key issue in the field of
Prognostic and Health Management (PHM), which aims at predictive maintenance to …

Accurate rolling bearing remaining useful life (RUL) prediction, an effective assurance of the
rotating machinery's safety and reliability, is one of the essential procedures in equipment …

The turnout switch machine (TSM) is the critical signal equipment of the interlocking system,
which directly affects the efficiency and safety of rail transit. However, the incomplete feature …

The full-life data of machine is complex and abundant, requiring specialized and deep
predictive models for accurate forecasts. However, achieving high prediction accuracy often …

Failures in power plants can lead to significant power interruptions and economic losses.
Prognostics and Health Management (PHM) serves as a predictive maintenance technique …

The performance of intelligent fault diagnosis models is often hindered by the lack of
available samples, a common issue in both the few-shot learning and imbalanced learning …

Recently, unsupervised domain adaptation fault diagnosis (FD) techniques, which learn
transferable features by reducing distribution inconsistency of source and target domians …