Time-Frequency Tracking of Spectral Structures Estimated by a Data-Driven Method

Timothée Gerber 1 Nadine Martin 1 Corinne Mailhes 2
1 GIPSA-SAIGA - SAIGA
GIPSA-DA - Département Automatique, GIPSA-DIS - Département Images et Signal
2 IRIT - Institut de recherche en informatique de Toulouse
Abstract : —The installation of a condition monitoring system aims to reduce the operating costs of the monitored system by applying a predictive maintenance strategy. However, a system-driven configuration of the condition monitoring system requires the knowledge of the system kinematics and could induce lots a false alarms because of predefined thresholds. The purpose of this paper is to propose a complete data-driven method to automatically generate system health indicators without any a priori on the monitored system or the acquired signals. This method is composed of two steps. First, every acquired signal is analysed: the spectral peaks are detected and then grouped in more complex structure as harmonic series or modulation sidebands. Then, a time-frequency tracking operation is applied on all available signals: the spectral peaks and the spectral structures are tracked over time and grouped in trajectories, which will be used to generate the system health indicators. The proposed method is tested on real-world signals coming from a wind turbine test rig. The detection of a harmonic series and a modulation sideband reports the birth of a fault on the main bearing inner ring. The evolution of the fault severity is characterised by three automatically generated health indicators and is confirmed by experts.
Keywords : wind turbines Index Terms—Condition monitoring harmonics sidebands tracking signal processing fault diagnosis
Document type :
Journal articles
Complete list of metadatas

Cited literature [42 references]  Display  Hide  Download
https://hal.archives-ouvertes.fr/hal-01202530
Contributor : Nadine Martin <>
Submitted on : Monday, September 21, 2015 - 11:49:59 AM
Last modification on : Thursday, October 24, 2019 - 2:44:09 PM
Long-term archiving on : Tuesday, December 29, 2015 - 8:56:31 AM

File

ALL_14-TIE-2458.pdf
Files produced by the author(s)

Identifiers

Collections

GIPSA-SAIGA | UGA | UNIV-TLSE2 | GIPSA | GIPSA-DIS | GIPSA-DA | SMS | UNIV-TLSE3 | UT1-CAPITOLE

Citation

Timothée Gerber, Nadine Martin, Corinne Mailhes. Time-Frequency Tracking of Spectral Structures Estimated by a Data-Driven Method. IEEE Transactions on Industrial Electronics, Institute of Electrical and Electronics Engineers, 2015, 52 (10), pp.6616-6626. ⟨10.1109/TIE.2015.2458781⟩. ⟨hal-01202530⟩

Export

BibTeX TEI DC DCterms EndNote

Share

Metrics

Record views

492

Files downloads

492

Contact

CCSD