Health condition monitoring for rotating machinery has been developed for many years due
to its potential to reduce the cost of the maintenance operations and increase availability …

Prognostics and health management (PHM) is an essential means to optimize resource
allocation and improve the intelligent operation and maintenance (O&M) efficiency of marine …

Recent approaches to fault detection and isolation for dynamic systems using methods of
integrating quantitative and qualitative model information, based upon soft computing (SC) …

Fuzzy measure and fuzzy integral theory are an outgrowth of classical measure theory.
Fuzzy measure and fuzzy integral theory take into account the importance of criteria and …

This paper presents the results of a sensibility analysis applied to a Reservoir Computing
method. The method ANOVA has been chosen in order to analyse the influence of the …

Recent approaches to fault detection and isolation for dynamic systems using methods of
integrating quantitative and qualitative model information, based upon soft computing (SC) …

This research focuses on the development of an intelligent diagnostic system for rotating
machinery. The system is composed of a signal processing module and a state inference …

A multi-net fault diagnosis system, designed to provide power estimation and fault
identification, is presented. Eight different faults: misfiring of each of the three cylinders, shaft …

The common failure modes of a turbocharger rotor are bearing wear, impeller-casing rub
events and shaft cracks due to high thermal currents. A reliable design of such rotors is …

This paper presents an artificial neural networks approach to estimate the indicated torque
of a single-cylinder diesel engine from crank shaft angular position and velocity …