The invention discloses an aviation converter fault detection method based on an information fusion algorithm, and the method comprises the steps: collecting the operation data of an aviation converter, and constructing a data set; performing time information extraction and space information extraction on the data in the data set, and performing feature fusion on time features and space features based on a variational auto-encoder to obtain spatio-temporal data; constructing a Bayesian deep learning model, and training and optimizing the Bayesian deep learning model; inputting the spatio-temporal data into the trained and optimized Bayesian deep learning model for processing, outputting a numerical value representing a fault occurrence probability, and taking a variance based on the probability numerical value as uncertainty estimation; presetting a probability threshold, and when the output probability is greater than the threshold, determining that the converter has a fault; otherwise, judging that the operation state is normal; a more accurate and reliable diagnosis result is provided for fault detection, and the method has high adaptability and robustness in practical application.
本发明公开了一种基于信息融合算法的航空变流器故障检测方法,包括采集航空变流器的运行数据,构建数据集;对数据集中的数据进行时间信息提取和空间信息提取,且基于变分自编码器对时间特征和空间特征进行特征融合,得到时空数据;构建贝叶斯深度学习模型,并对贝叶斯深度学习模型进行训练和优化;将时空数据输入到训练和优化后的贝叶斯深度学习模型中进行处理,输出表示故障发生概率的数值,以及基于概率数值的方差作为不确定性估计;预设概率阈值,当输出的概率大于阈值时,判定变流器存在故障;否则,判定为正常运行状态;为故障检测提供更准确、可靠的诊断结果,并在实际应用中具有较强的适应性和鲁棒性。
Aviation converter fault detection method based on information fusion algorithm
一种基于信息融合算法的航空变流器故障检测方法
2025-03-14
Patent
Electronic Resource
Chinese
IPC: | G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung / B64F GROUND OR AIRCRAFT-CARRIER-DECK INSTALLATIONS SPECIALLY ADAPTED FOR USE IN CONNECTION WITH AIRCRAFT , Boden- oder Flugzeugträgerdeckeinrichtungen besonders ausgebildet für die Verwendung in Verbindung mit Luftfahrzeugen / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen |
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