Frequency as a key parameter in discriminating the failure types of thermal barrier coatings: Cluster analysis of acoustic emission signals

A key parameter in discriminating the failure types of thermal barrier coatings (TBCs) was found out by using the k-means cluster analysis of acoustic emission (AE) signals. It is shown that there are five classes of mechanisms, including surface vertical cracks, opening interface cracks, sliding in...

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Veröffentlicht in:	Surface & coatings technology 2015-02, Vol.264, p.97-104
Hauptverfasser:	Yang, L., Kang, H.S., Zhou, Y.C., Zhu, W., Cai, C.Y., Lu, C.
Format:	Artikel
Sprache:	eng
Schlagworte:	Acoustic emission Cleavage Cluster analysis Coatings Cracks Failure analysis k-Means clustering Key parameter Peak frequency Spallation Thermal barrier coatings
Online-Zugang:	Volltext
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