Fast Computation of the Autogram for the Detection of Transient Faults

Alessandro Paolo Daga, Alessandro Fasana, Luigi Garibaldi, Stefano Marchesiello, Ali Moshrefzadeh

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Structures and machines maintenance is a hot topic, as their failure can be both expensive and dangerous. Condition-based maintenance regimes are ever more desired so that cost-effective, reliable, and damage-responsive diagnostics techniques are needed. Among the others, Vibration Monitoring using accelerometers is a very little invasive technique that can in principle detect also small, incipient damages. Focusing on transient faults, one reliable processing to highlight their presence is the Envelope analysis of the vibration signal filtered in a band of interest. The challenge of selecting an appropriate band for the demodulation is an optimization problem requiring two ingredients: a utility function to evaluate the performance in a particular band, and a scheme to move within the search space of all the possible center frequencies and band sizes (the dyad {f, Δf}) toward the optimal. These problems were effectively tackled by the Kurtogram, a brute-force computation of the kurtosis of the envelope of the filtered signal (the utility function) of every possible {f, Δf} combination. The complete exploration of the whole plane (f, Δf) is a heavy task which compromises the computational efficiency of the algorithm so that the analysis on a discrete (f, Δf) paving was implemented (Fast Kurtogram). To overcome the lack of robustness to non-Gaussian noise, different utility functions were proposed. One is the kurtosis of the unbiased autocorrelation of the squared envelope of the filtered signal found in the Autogram. To spread this improved algorithm in on-line industrial applications, a fast implementation of the Autogram is proposed in this paper.

Original languageEnglish
Title of host publicationEuropean Workshop on Structural Health Monitoring
Subtitle of host publicationSpecial Collection of 2020 Papers - Volume 2
EditorsPiervincenzo Rizzo, Alberto Milazzo
PublisherSpringer, Cham
Pages469-479
Number of pages11
Volume2/LNCE128
ISBN (Electronic)9783030649081
ISBN (Print)9783030649074
DOIs
Publication statusPublished - 3 Mar 2021
Externally publishedYes
Event10th European Workshop on Structural Health Monitoring - Palermo, Italy
Duration: 1 Jul 20221 Jul 2022
Conference number: 10
http://www.ewshm2020.com/

Publication series

NameLecture Notes in Civil Engineering
PublisherSpringer, Cham
Number2
VolumeLNCE 128
ISSN (Print)2366-2557
ISSN (Electronic)2366-2565

Conference

Conference10th European Workshop on Structural Health Monitoring
Abbreviated titleEWSHM 2020
CountryItaly
CityPalermo
Period1/07/221/07/22
Internet address

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