A factor that directly impacts the lifespan of a power transformer is the hot-spot temperature,
and its monitoring is vital to prevent faults, reduce costs, keep the safety, and provide a …

In this work we present two new models based on Evolving Multivariable Gaussian
approach and on the Set-Membership/Enhanced Set-Membership adaptive filtering …

This paper focuses on the classification of faults in an electromechanical switch machine,
which is an equipment used for handling railroad switches. In this paper, we introduce the …

In this paper, a sparse set-membership proportionate normalized least mean square (SM-
PNLMS) algorithm integrated with a correntropy induced metric (CIM) penalty is proposed …

This paper focuses on the new model for the classification of railhead defects, through
images acquired by a rail inspection vehicle. In this regard, we discuss the use of set …

In this paper, an improved set-membership proportionate normalized least mean square
(SM-PNLMS) algorithm is proposed for block-sparse systems. The proposed algorithm …

This paper presents a novel distributed low-rank scheme and adaptive algorithms for
distributed estimation over wireless networks. The proposed distributed scheme is based on …

Hot box and hot wheel threaten any rail operation, increasing fatigue and wear processes
which result in failures, costly train stoppages and derailments. For this reason, detectors …

Active noise control (ANC) is an effective way for reducing the noise level in electroacoustic
or electromechanical systems. Since its first introduction in 1936, this approach has been …

Adaptive filtering algorithms, which adopt the set-membership strategy, are able to attain
good steady-state performance with low computational burden. In general, such advantages …