 Degradation assessment of an IGBT with recurrence analysis and Kalman filter based data fusionDuygu Bayram Kara Chaos, Solitons & Fractals, 2024, vol. 186, issue C Abstract: Degradation is a nonstationary process that necessitates using a specialized measurement tool. In light of this, a degradation assessment tool has been presented in this study through the use of recurrence analysis. A fused signal has been constructed through the linear Kalman Filter Fusion Application (KFFA) to assess the growing degradation within the system. This approach aims to combine the features provided by different mediums of the system. A case study is presented using the collector-emitter current and package temperature signals collected during an IGBT's accelerated aging experiment. Time-frequency and recurrence analyses of fused and collected signals are evaluated to interpret the degradation through the nonstationary characteristics of the signals. The study has two main purposes: to investigate the combination capability of KFFA deeply for nonstationary processes and to define recurrence analysis as a degradation assessment tool. Keywords: Data fusion; Kalman filter; IGBT; Nonstationary signal; Recurrence plots; Recurrence quantification analysis (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:186:y:2024:i:c:s0960077924007768 DOI: 10.1016/j.chaos.2024.115224 Access Statistics for this article Chaos, Solitons & Fractals is currently edited by Stefano Boccaletti and Stelios Bekiros More articles in Chaos, Solitons & Fractals from Elsevier |
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