With the increasing availability of data for Prognostics and Health Management (PHM),
Deep Learning (DL) techniques are now the subject of considerable attention for this …

Safety and passengers' comfort affect directly the reliability and availability of trains.
Therefore, appropriate monitoring of the variables influencing those two concepts is …

Massive amounts of industrial data, which are often gathered by industrial control systems
(ICS), have been generated by the fast growth of industrial intelligence. One of the hottest …

Abstract Maintenance records in Computerized Maintenance Management Systems
(CMMS) contain valuable human knowledge on maintenance activities. These records …

This work investigates formal generalization error bounds that apply to support vector
machines (SVMs) in realizable and agnostic learning problems. We focus on recently …

This work studies the fault estimation problem for a class of nonlinear systems subjected to
missing measurements and random component faults under the Round-Robin protocol …

The development of modern industry has accelerated the need for intelligent fault diagnosis.
Nowadays, most bearing fault diagnosis methods only use the information of one sensor …

The prediction of system degradation is very important as it serves as an important basis for
the formulation of condition-based maintenance strategies. An effective health indicator (HI) …

During the past years, the environmental and safety-based regulations have turned out to be
more stringent, requiring more regulations on the ship's operation and condition for …

The safety and reliability of the railway vehicle door system are critical to ensure passengers'
safety and transportation efficiency. Fault diagnosis is essential for such a purpose …