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Updated: Jun 28, 2025

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在数据缺失的情况下,物理机制校正的退化趋势预测网络.

Qichao Yang1, Baoping Tang1, Qikang Li1

  • 1State Key Laboratory of Mechanical Transmission for Advanced Equipment, Chongqing University, Chongqing 400030, PR China.

ISA transactions
|April 23, 2024
PubMed
概括

本研究引入了一种新的数据修复和双数据流LSTM (DR-DLSTM) 网络,用于准确预测缺少数据的设备退化趋势 (DTP). 通过将趋势和周期组件分开,DR-DLSTM提高了特征提取和预测准确度.

关键词:
数据修复数据修复降解趋势预测,降解趋势预测.双频调整单元是双频调整单元.隐性向量是一个隐性向量.信号分解信号的分解

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