Benchmarking of prognostic algorithms has been challenging due to limited availability of
common datasets suitable for prognostics. In an attempt to alleviate this problem, several …

Many industries have a growing awareness in utilizing new technologies to improve the
reliability and availability of their systems. Prognostics, a subject concerned with the …

Six years and more than seventy publications later this paper looks back and analyzes the
development of prognostic algorithms using C-MAPSS datasets generated and …

Abstract Prognostics and Health Management (PHM) methodologies are increasingly
playing active roles in improving the safety, reliability, availability, as well as productivity of …

Demands for more accurate machine learning models have given rise to rethinking current
modeling approaches that were deemed unsuitable, primarily due to their computational …

For accurate prognostics, users have to determine the current health of the system and
predict future degradation pattern of the system. An increasingly popular approach toward …

Abstract In the Prognostics and Health Management domain, estimating the remaining
useful life (RUL) of critical machinery is a challenging task. Various research topics including …

Abstract Prognostic and Health Management (PHM) represents an active field of research
and a major scientific challenge in many domains. It usually focuses on the failure time or …

Maintenance plays a critical role in reducing operating cost and maximizing reliability of a
complex engineering system. This paper proposes a novel maintenance-focused, system …

Condition‐based monitoring (CBM) as a new control scheme suggests characterizing the
machine condition and triggering the corresponding control actions. CBM includes …