Evolutionary design of lifting scheme wavelet-packet adaptive filters for elevator fault detection

Arpaïa, Pasquale; Matteis, Ernesto De; Montenero, Giuseppe; Manna, Carlo

doi:10.1109/imtc.2010.5488007

Cited by 2 publications

(2 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, early detection of the aforementioned failures by means of condition monitoring have received major attention in the literature [23][24][25][26][27]30,32 in order to reduce the number of breakdowns.…”

Section: Virtual Sensing-based Monitoring and Maintenance Approachmentioning

confidence: 99%

“…Condition monitoring techniques employed in [23][24][25][26]32 are based on processing acceleration signals by means of classifiers such as artificial neural network (ANN), time-frequency domain techniques, wavelets and higher order spectra (HOS). These techniques are highly dependent on the quality of data, and furthermore, they employ accelerometers which are not readily available in the elevator.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Virtual sensing-based monitoring and maintenance in elevators

Esteban

Salgado

Iturrospe

et al. 2023

Structural Health Monitoring

View full text Add to dashboard Cite

This paper presents a virtual sensing approach for monitoring the elevator installations. The aim of the proposed virtual sensing approach is to monitor the condition of elevators without installing additional sensors. The adopted virtual sensing approach comprises a coupled-electromechanical elevator model presented in state space domain and a generalized output equation which includes not only the available measurements but also a set of virtual sensors. This virtual sensing approach employs an observer, and this observer estimates other physical quantities that cannot be directly measured with the already installed sensors. The estimated physical quantities are then employed for the calculation of four easy-to-interpret Key Performance Indicators (KPIs). These four indicators will enable to report the condition and triggers maintenance actions of elevator installations. Two of the indicators are related to the elevator ride quality and the energy efficiency which are currently employed by elevator manufacturers for evaluating their elevators. The rest two indicators are related to guide system diagnosis and electrical traction machine diagnosis. Finally, the proposed procedure is experimentally evaluated, by comparing the KPIs calculated based on the estimated virtual sensors and actual measurements, with the values obtained from the additional set of sensors installed in an elevator test tower.

show abstract