基于概率稀疏自注意力的IGBT模块剩余寿命跨工况预测
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钟智伟, 王誉翔, 黄亦翔, 肖登宇, 夏鹏程, 刘成良
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Remaining Useful Life Prediction of IGBT Modules Across Working Conditions Based on ProbSparse Self-Attention
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ZHONG Zhiwei, WANG Yuxiang, HUANG Yixiang, XIAO Dengyu, XIA Pengcheng, LIU Chengliang
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表4 不同模型预测结果
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Tab.4 Prediction results of different models
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方法 | IGBT1→IGBT2 | | IGBT1→IGBT3 | | IGBT2→IGBT1 | | IGBT2→IGBT3 | | IGBT3→IGBT1 | | IGBT3→IGBT2 | MSE | MAE | MSE | MAE | MSE | MAE | MSE | MAE | MSE | MAE | MSE | MAE | 本文模型 | 0.001 6 | 0.031 9 | | 0.001 0 | 0.024 3 | | 0.002 6 | 0.041 9 | | 0.001 6 | 0.033 0 | | 0.005 8 | 0.058 5 | | 0.001 6 | 0.032 5 | gMLP | 0.006 1 | 0.071 3 | | 0.088 7 | 0.225 8 | | 0.006 4 | 0.067 5 | | 0.095 6 | 0.253 8 | | 0.008 1 | 0.065 0 | | 0.026 8 | 0.128 6 | LSTM | 0.009 3 | 0.074 3 | | 0.027 3 | 0.129 4 | | 0.009 2 | 0.081 7 | | 0.033 1 | 0.155 7 | | 0.013 5 | 0.084 5 | | 0.027 6 | 0.129 4 | TCA+gMLP | 0.004 2 | 0.056 6 | | 0.012 7 | 0.088 9 | | 0.005 5 | 0.059 1 | | 0.007 5 | 0.074 0 | | 0.010 0 | 0.079 1 | | 0.015 5 | 0.103 2 | CORAL+LSTM | 0.007 2 | 0.058 1 | | 0.025 2 | 0.123 3 | | 0.004 6 | 0.055 6 | | 0.042 2 | 0.165 3 | | 0.032 5 | 0.137 8 | | 0.043 1 | 0.159 8 |
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