• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>Chinese Automation Congress >Soft Sensor Method Based on Deep Belief Network for Rotor Thermal Deformation of Rotary Air Preheater
【24h】

Soft Sensor Method Based on Deep Belief Network for Rotor Thermal Deformation of Rotary Air Preheater

机译：基于深信度网络的旋转空气预热器转子热变形软测量方法

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

In this paper, to detect the rotor thermal deformation of rotary air preheater, a soft sensor method based on Deep Belief Network (DBN) is proposed. The rotor thermal deformation of rotary air preheater can be accurately detected by the proposed method, so the air leakage of rotary air preheater under the harsh working environment can be well controlled. In the study, latent variables which are closely related to rotor thermal deformation are obtained by grey relation analysis method. Then, DBN network is trained by using labeled data and unlabeled data, in which the features in the data set are extracted by DBN module. The features extracted by DBN module are input Support Vector Regression (SVR) as input data. At the same time, Particle Swarm Optimization (PSO) algorithm is used to select the appropriate parameters for SVR. SVR is used as the predictor of the continuous target change value in the soft sensor model. The new soft sensor model of rotor thermal deformation is obtained by the superiority of DBN and SVR algorithms. Simulation result shows that the identification accuracy of this new model is higher, and the prediction of rotor thermal deformation is accurate, so it can predict the output well.
机译：为了检测旋转式空气预热器的转子热变形，提出了一种基于深信度网络（DBN）的软传感器方法。该方法可以准确地检测出旋转式空气预热器的转子热变形，可以很好地控制旋转式空气预热器在恶劣工作环境下的漏风。在研究中，通过灰色关联分析法获得了与转子热变形密切相关的潜变量。然后，通过使用标记数据和未标记数据对DBN网络进行训练，其中DBN模块提取数据集中的特征。 DBN模块提取的特征是输入支持向量回归（SVR）作为输入数据。同时，使用粒子群优化（PSO）算法为SVR选择合适的参数。 SVR用作软传感器模型中连续目标变化值的预测指标。 DBN和SVR算法的优越性获得了新的转子热变形软传感器模型。仿真结果表明，该模型的辨识精度较高，转子热变形的预测准确，可以很好地预测输出。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号