Fault Detection for Precision Mechatronics: Online Estimation of Mechanical Resonances

K.H.J. Classens; Mike Mostard; J.J.M. van de Wijdeven; W.P.M.H. Heemels; Tom A.E. Oomen

doi:10.1016/j.ifacol.2022.11.271

Fault Detection for Precision Mechatronics: Online Estimation of Mechanical Resonances

K.H.J. Classens (Corresponding author), Mike Mostard, J.J.M. van de Wijdeven, W.P.M.H. Heemels, Tom A.E. Oomen

Onderzoeksoutput: Bijdrage aan tijdschrift › Congresartikel › peer review

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The condition of mechatronic production equipment slowly deteriorates over time, increasing the risk of failure and associated unscheduled downtime. A key indicator for an increased risk for failures is the shifting of resonances. The aim of this paper is to track the shifting resonances of the equipment online and during normal operation. This paper contributes to real-time parametric fault diagnosis by applying and comparing parameter estimators in this new context, highly relevant for next-generation mechatronic systems. The proposed fault diagnosis systems consist of recursive least squares algorithms and the effectiveness is illustrated on an overactuated and oversensed flexible beam setup, allowing to artificially manipulate its effective resonances in a controlled manner.

Originele taal-2	Engels
Pagina's (van-tot)	746-751
Aantal pagina's	6
Tijdschrift	IFAC-PapersOnLine
Volume	55
Nummer van het tijdschrift	37
DOI's	https://doi.org/10.1016/j.ifacol.2022.11.271
Status	Gepubliceerd - 2022
Evenement	2nd Modeling, Estimation and Control Conference, MECC 2022 - Jersey City, Verenigde Staten van Amerika Duur: 2 okt. 2022 → 5 okt. 2022

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10.1016/j.ifacol.2022.11.271

ClassensMosWijHeeOom2022Ingediend manuscript, 2,22 MB
pdfDefinitieve gepubliceerde versie, 2,29 MBLicentie: CC BY-NC-ND

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title = "Fault Detection for Precision Mechatronics: Online Estimation of Mechanical Resonances",

abstract = "The condition of mechatronic production equipment slowly deteriorates over time, increasing the risk of failure and associated unscheduled downtime. A key indicator for an increased risk for failures is the shifting of resonances. The aim of this paper is to track the shifting resonances of the equipment online and during normal operation. This paper contributes to real-time parametric fault diagnosis by applying and comparing parameter estimators in this new context, highly relevant for next-generation mechatronic systems. The proposed fault diagnosis systems consist of recursive least squares algorithms and the effectiveness is illustrated on an overactuated and oversensed flexible beam setup, allowing to artificially manipulate its effective resonances in a controlled manner.",

keywords = "Fault Detection, Fault Diagnosis, Fault Estimation, Fault Isolation, Mechatronic System, Multiplicative Fault, Parametric Fault, Predictive Maintenance",

author = "K.H.J. Classens and Mike Mostard and {van de Wijdeven}, J.J.M. and W.P.M.H. Heemels and Oomen, {Tom A.E.}",

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AU - Classens, K.H.J.

AU - Mostard, Mike

AU - van de Wijdeven, J.J.M.

AU - Heemels, W.P.M.H.

AU - Oomen, Tom A.E.

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AB - The condition of mechatronic production equipment slowly deteriorates over time, increasing the risk of failure and associated unscheduled downtime. A key indicator for an increased risk for failures is the shifting of resonances. The aim of this paper is to track the shifting resonances of the equipment online and during normal operation. This paper contributes to real-time parametric fault diagnosis by applying and comparing parameter estimators in this new context, highly relevant for next-generation mechatronic systems. The proposed fault diagnosis systems consist of recursive least squares algorithms and the effectiveness is illustrated on an overactuated and oversensed flexible beam setup, allowing to artificially manipulate its effective resonances in a controlled manner.

KW - Fault Detection

KW - Fault Diagnosis

KW - Fault Estimation

KW - Fault Isolation

KW - Mechatronic System

KW - Multiplicative Fault

KW - Parametric Fault

KW - Predictive Maintenance

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Fault Detection for Precision Mechatronics: Online Estimation of Mechanical Resonances

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