基于D-S证据理论的超速离心机健康状态评估方法

Health Assessment Methods of Ultracentrifuge Based on Dempster-Shafer Evidence Theory

超速离心机的运行健康状态评估是确保离心机安全、稳定运行的基础。介绍了超速离心机的主要状态参数及检测技术,分析了常用的健康状态评估方法。利用人工神经网络实现不同信源的超速离心机状态信息评估,再根据D-S证据理论对各子神经网络的输出结果进行融合,建立了超速离心机运行健康状态综合评估方法。实例验证了该方法的有效性和准确性。

The assessing of the health condition is the foundation of the safety and stable operation of the ultracentrifuge.This paper introduced the parameter of ultracentrifuge＇s health condition,and the common integrated assessment methods.Combining the reality of the ultracentrifuge,a comprehensive evaluation method based on artificial neural network and Dempster-Shafer evidence theory was proposed.By using Dempster-Shafer evidence theory,the method realized the fusion of artificial neural network outputs which were preliminary health condition information of different sources.The effectiveness and accuracy of the proposed method are validated by experiments.