A thermal barrier coating (TBC), which is composed of a top coating (TC) and bond coating (BC), can keep a turbine engine working in high temperature. The TC is an insulated ceramic layer, and the BC is a conductive layer between the TC and engine blade. Owing to poor working conditions, some failures such as sintering, thinning of coating thickness, and oxide layer initiation will occur in the TBC. Once any part of the TBC fails, it will seriously threaten the safety of the aircraft. The quantitative detection of TBC parameters is realized with the electromagnetic/capacitive dual modality sensor in this paper. The measurement grid algorithm is used to inverse the thickness of the TC layer and the conductivity of the BC layer, and an analytical method is proposed to inverse the relative permittivity of the TC layer. According to the experiment, the inversion errors of these parameters are all less than 4%, which can meet the industry needs well.

中文翻译：

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基于电磁/电容双模态传感器的热障涂层参数定量检测

热障涂层 (TBC) 由面漆 (TC) 和粘合涂层 (BC) 组成，可以使涡轮发动机在高温下工作。TC是绝缘陶瓷层，BC是TC和发动机叶片之间的导电层。由于工作条件差，TBC 会出现烧结、涂层厚度变薄、氧化层开始等故障。一旦TBC的任何部分出现故障，都会严重威胁到飞机的安全。本文采用电磁/电容双模态传感器实现TBC参数的定量检测。采用测量网格算法对TC层的厚度和BC层的电导率进行反演，并提出了TC层的相对介电常数反演的解析方法。根据实验，