A Set-Based Prognostics Approach for Wind Turbine Blade Health Monitoring. Issue 6 (2022)

• Record Type: Journal Article
• Authors: Boutrous, Khoury; Puig, Vicenç; Nejjari, Fatiha
• Is Part Of: IFAC-PapersOnLine. Volume 55:Issue 6(2022)
• Page Start: 402
• Page End: 407
• Publication Date: 2022
• Subjects: Zonotopic Kalman filter -- Linear parameter varying methodologies -- Prognostics -- Reachability analysis -- Wind turbine; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2022.07.162
• Languages: English
• ISSNs: 2405-8963

Abstract

Abstract: This paper presents a model-based prognostics procedure using a zonotopic Kalman filter in tandem with a zonotopic set-based propagation of degradation, aiding in the quantification of uncertainties associated with prognostics. The prognostics procedure is then applied to the degradation of a wind turbine blade material subjected to a forecasted bounded set description of wind profile. To facilitate an online condition based implementation, an otherwise nonlinear based Kalman filter from the nonlinear wind turbine model is presented in a pseudolinear form, a polytopic linear parameter varying representation, decreasing computational cost and easing in the propagation of the positive invariant zonotopic uncertainty sets to a reachable set that triggers an end of life. Using this information of health, the remaining useful life with its associated uncertainties can be predicted