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引用次数: 0

摘要

锅炉管材变薄是煤基锅炉机组常见的失效机理之一。超声波测厚(UT)通常用于确定锅炉管的厚度状态,并在每年大修期间进行。由于数据中的一些波动和不规则性,厚度数据的有用性可能存在问题。在目前的工作中,将分析4年检查的UT数据,目的是了解过热器管变薄的基本机制。对部分UT数据进行了分析,得到了过热器管的减薄率。厚度变薄趋势是预测厚度值并与实际测量值进行比较的依据。对预测值和实测值进行统计运算检验,发现两者有显著性差异,预测质量也有显著性差异。锅炉管材变薄是煤基锅炉机组常见的失效机理之一。超声波测厚(UT)通常用于确定锅炉管的厚度状态,并在每年大修期间进行。由于数据中的一些波动和不规则性,厚度数据的有用性可能存在问题。在目前的工作中,将分析4年检查的UT数据,目的是了解过热器管变薄的基本机制。对部分UT数据进行了分析,得到了过热器管的减薄率。厚度变薄趋势是预测厚度值并与实际测量值进行比较的依据。对预测值和实测值进行统计运算检验,发现两者有显著性差异,预测质量也有显著性差异。
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Analysis of superheater tubes degradation at a tangentially fired pulverized coal power plant
Thinning of boiler tubing is one of common failure mechanism of coal-based boiler unit. An ultrasonic thickness testing (UT) is typically used to determine the state of boiler tube thickness and is done during a yearly overhaul. The usefulness of thickness data can be problematic due to some fluctuation and irregularities in the data. In the present work, UT data from 4 years inspection will be analyzed with the aim to understand the fundamental mechanism for thinning of the superheater tube. Some part of the UT data is analyzed to obtain the thinning rate of the superheater tube. The thinning trend is the basis for predicting the value of thickness and compared with actual measurement values. The predicted and actual values were tested with statistical operation to observe the significant difference between both values and also the quality of prediction.Thinning of boiler tubing is one of common failure mechanism of coal-based boiler unit. An ultrasonic thickness testing (UT) is typically used to determine the state of boiler tube thickness and is done during a yearly overhaul. The usefulness of thickness data can be problematic due to some fluctuation and irregularities in the data. In the present work, UT data from 4 years inspection will be analyzed with the aim to understand the fundamental mechanism for thinning of the superheater tube. Some part of the UT data is analyzed to obtain the thinning rate of the superheater tube. The thinning trend is the basis for predicting the value of thickness and compared with actual measurement values. The predicted and actual values were tested with statistical operation to observe the significant difference between both values and also the quality of prediction.
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