Condition Monitoring Using Digital Fault-Detection Approach for Pitch System in Wind Turbines

Abdelmoumen Saci, Mohamed Nadour, Lakhmissi Cherroun, Ahmed Hafaifa (), Abdellah Kouzou, Jose Rodriguez and Mohamed Abdelrahem ()
Additional contact information
Abdelmoumen Saci: Applied Automation and Industrial Diagnostics Laboratory, Faculty of Science and Technology, University of Djelfa, Djelfa 17000, Algeria
Mohamed Nadour: Applied Automation and Industrial Diagnostics Laboratory, Faculty of Science and Technology, University of Djelfa, Djelfa 17000, Algeria
Lakhmissi Cherroun: Applied Automation and Industrial Diagnostics Laboratory, Faculty of Science and Technology, University of Djelfa, Djelfa 17000, Algeria
Ahmed Hafaifa: Applied Automation and Industrial Diagnostics Laboratory, Faculty of Science and Technology, University of Djelfa, Djelfa 17000, Algeria
Abdellah Kouzou: Applied Automation and Industrial Diagnostics Laboratory, Faculty of Science and Technology, University of Djelfa, Djelfa 17000, Algeria
Jose Rodriguez: Center for Energy Transition, Universidad San Sebastián, Santiago 8420524, Chile
Mohamed Abdelrahem: Institute of High-Power Converter Systems (HLU), Technical University of Munich (TUM), 80333 Munich, Germany

Energies, 2024, vol. 17, issue 16, 1-35

Abstract: The monitoring of wind turbine (WT) systems allows operators to maximize their performance, consequently minimizing untimely shutdowns and related hazard situations while maximizing their efficiency. Indeed, the rational monitoring of WT ensures the identification of the main sources of risks at a proper time, such as internal or external failures, hence leading to an increase in their prevention by limiting the faults’ occurrence regarding the different components of wind turbines, achieving production objectives. In this context, the present paper develops a practical monitoring approach using a numerical fault-detection process for the pitch system based on a benchmark wind turbine (WT) model with the main aim of improving safety and security performance. Therefore, the proposed fault-diagnosis procedure deals with eventual faults occurring in the actuators and sensors of the pitch system. In this proposed approach, a simple, logical process is used to generate the correct residuals as fault information based on the redundancy in the actuators and sensors of the pitch sub-systems. The obtained results demonstrate the effectiveness of this proposed process for ensuring the tasks of the fault diagnosis and condition monitoring of the WT systems, and it can be a promising approach for avoiding major damage in such systems, leading to their operational stability and improved reliability and availability.

Keywords: fault detection; external and internal residuals; condition-based monitoring; wind turbine; benchmark model; pitch system (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/17/16/4016/pdf (application/pdf)
https://www.mdpi.com/1996-1073/17/16/4016/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:17:y:2024:i:16:p:4016-:d:1455543

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().