Friction Estimation for Condition Monitoring of Wind Turbine Hydraulic Pitch System

Alessio Dallabona; Mogens Blanke; Dimitrios Papageorgiou

doi:10.1016/j.ifacol.2024.07.284

Friction Estimation for Condition Monitoring of Wind Turbine Hydraulic Pitch System

Alessio Dallabona^*, Mogens Blanke, Dimitrios Papageorgiou

^*Corresponding author for this work

Research output: Contribution to journal › Journal article › Research › peer-review

11 Downloads (Pure)

Abstract

Faults and wear in hydraulic pitch actuators of wind turbines significantly contribute to downtime of remote of-shore wind farms. This study presents a method for estimating incipient friction in the hydraulic actuator, which is directly associated with faults and wear in the pitch system. An additional sensor and a sliding mode differentiator are employed to estimate the total friction, which is then used in a modified least-squares scheme to obtain the Coulomb friction coefficient. Statistical change detection is used to robustify the friction monitoring scheme against model uncertainty and sensor noise. Simulation tests demonstrate the efficacy of the proposed method.

Original language	English
Book series	IFAC-PapersOnLine
Volume	58
Issue number	4
Pages (from-to)	598-603
ISSN	2405-8963
DOIs	https://doi.org/10.1016/j.ifacol.2024.07.284
Publication status	Published - 2024
Event	12^th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes - Teatro Comunale, Ferrara, Italy Duration: 4 Jun 2024 → 7 Jul 2024

Conference

Conference	12^th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes
Location	Teatro Comunale
Country/Territory	Italy
City	Ferrara
Period	04/06/2024 → 07/07/2024

Keywords

Parameter estimation based methods for FDI
Filtering
Estimation for FDI
Nonlinear observers
Filter design

Access to Document

10.1016/j.ifacol.2024.07.284

FulltextFinal published version, 1.67 MBLicence: CC BY-NC-ND

OpenUrl availability

Full text

Cite this

@article{e7529fbffd15466cb0ed5f3f6aa673f7,

title = "Friction Estimation for Condition Monitoring of Wind Turbine Hydraulic Pitch System",

abstract = "Faults and wear in hydraulic pitch actuators of wind turbines significantly contribute to downtime of remote of-shore wind farms. This study presents a method for estimating incipient friction in the hydraulic actuator, which is directly associated with faults and wear in the pitch system. An additional sensor and a sliding mode differentiator are employed to estimate the total friction, which is then used in a modified least-squares scheme to obtain the Coulomb friction coefficient. Statistical change detection is used to robustify the friction monitoring scheme against model uncertainty and sensor noise. Simulation tests demonstrate the efficacy of the proposed method.",

keywords = "Parameter estimation based methods for FDI, Filtering, Estimation for FDI, Nonlinear observers, Filter design",

author = "Alessio Dallabona and Mogens Blanke and Dimitrios Papageorgiou",

year = "2024",

doi = "10.1016/j.ifacol.2024.07.284",

language = "English",

volume = "58",

pages = "598--603",

journal = "IFAC-PapersOnLine",

issn = "2405-8963",

publisher = "Elsevier",

number = "4",

note = "12<sup>th</sup> IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes, Safe Process 2024 ; Conference date: 04-06-2024 Through 07-07-2024",

}

TY - JOUR

T1 - Friction Estimation for Condition Monitoring of Wind Turbine Hydraulic Pitch System

AU - Dallabona, Alessio

AU - Blanke, Mogens

AU - Papageorgiou, Dimitrios

PY - 2024

Y1 - 2024

N2 - Faults and wear in hydraulic pitch actuators of wind turbines significantly contribute to downtime of remote of-shore wind farms. This study presents a method for estimating incipient friction in the hydraulic actuator, which is directly associated with faults and wear in the pitch system. An additional sensor and a sliding mode differentiator are employed to estimate the total friction, which is then used in a modified least-squares scheme to obtain the Coulomb friction coefficient. Statistical change detection is used to robustify the friction monitoring scheme against model uncertainty and sensor noise. Simulation tests demonstrate the efficacy of the proposed method.

AB - Faults and wear in hydraulic pitch actuators of wind turbines significantly contribute to downtime of remote of-shore wind farms. This study presents a method for estimating incipient friction in the hydraulic actuator, which is directly associated with faults and wear in the pitch system. An additional sensor and a sliding mode differentiator are employed to estimate the total friction, which is then used in a modified least-squares scheme to obtain the Coulomb friction coefficient. Statistical change detection is used to robustify the friction monitoring scheme against model uncertainty and sensor noise. Simulation tests demonstrate the efficacy of the proposed method.

KW - Parameter estimation based methods for FDI

KW - Filtering

KW - Estimation for FDI

KW - Nonlinear observers

KW - Filter design

U2 - 10.1016/j.ifacol.2024.07.284

DO - 10.1016/j.ifacol.2024.07.284

M3 - Journal article

SN - 2405-8963

VL - 58

SP - 598

EP - 603

JO - IFAC-PapersOnLine

JF - IFAC-PapersOnLine

IS - 4

T2 - 12<sup>th</sup> IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes

Y2 - 4 June 2024 through 7 July 2024

ER -

Friction Estimation for Condition Monitoring of Wind Turbine Hydraulic Pitch System

Abstract

Conference

Keywords

Access to Document

OpenUrl availability

Fingerprint

Cite this