Fatigue monitoring and maneuver identification for vehicle fleets using the scattering transform

Autor:	Heindel, Leonhard, Hantschke, Peter, Kästner, Markus
Rok vydání:	2023
Předmět:	Electrical Engineering and Systems Science - Signal Processing 74H45
Druh dokumentu:	Working Paper
DOI:	10.1016/j.ijfatigue.2023.107554
Popis:	Extensive monitoring comes at a prohibitive cost, limiting Predictive Maintenance strategies for vehicle fleets. This paper presents a measurement-based soft sensing technique where local strain gauges are only required for few reference vehicles, while the remaining fleet relies exclusively on accelerometers. The scattering transform is used to perform feature extraction, while principal component analysis provides a reduced, low dimensional data representation. This enables direct fatigue damage regression, parameterized from unlabeled usage data. Identification measurements allow for a physical interpretation of the reduced representation. The approach is demonstrated using experimental data from a sensor equipped eBike. Comment: Preprint submitted to International Journal of Fatigue
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2302.02737 Zobrazit plný text záznamu View this record from Arxiv