Regular Article

Dual-rotor misalignment fault quantitative identification based on DBN and improved D-S evidence theory

¹ Hunan Provincial Key Laboratory of Health Maintenance for Mechanical Equipment, Hunan University of Science and Technology, Xiangtan 411201, PR China
² School Computer Science and Engineering, Hunan University of Science and Technology, Xiangtan 411201, PR China
³ Lushan College of Guangxi University of Science and Technology, Liuzhou 545006, PR China

^* e-mail: hyydl216@163.com

Received: 30 June 2020
Accepted: 5 March 2021

Abstract

Misalignment fault is the main factor that affects the normal running of dual-rotor system. Quantitative identification the misalignment fault is an important way to ensure the safe and stable service of the dual-rotor system, while the identification accuracy of traditional methods is low. Aiming at the above problems, this paper proposed a dual-rotor misalignment fault quantitative identification method based on DBN and D-S evidence theory improved by mutual information measure (MIMD-S). Seven groups experiments were conducted and several vibration signals were collected. By comparing it with the traditional methods D-S, and Pignistic improved D-S (PD-S) evidence theory, the results show that the method proposed in this paper improves the accuracy of the misalignment fault quantitative identification of the dual-rotor, the identification error rate was only 0.36%.