TY  - EJOU
AU  - Ren, Xukai 
AU  - Yu, Huanwei 
AU  - Chen, Xianfeng 
AU  - Tang, Yantong 
AU  - Wang, Guobiao 
AU  - Du, Xiyong 

TI  - Application of the CatBoost Model for Stirred Reactor State Monitoring Based on Vibration Signals
T2  - Computer Modeling in Engineering \& Sciences

PY  - 2024
VL  - 140
IS  - 1
SN  - 1526-1506

AB  - Stirred reactors are key equipment in production, and unpredictable failures will result in significant economic losses and safety issues. Therefore, it is necessary to monitor its health state. To achieve this goal, in this study, five states of the stirred reactor were firstly preset: normal, shaft bending, blade eccentricity, bearing wear, and bolt looseness. Vibration signals along x, y and z axes were collected and analyzed in both the time domain and frequency domain. Secondly, 93 statistical features were extracted and evaluated by ReliefF, Maximal Information Coefficient (MIC) and XGBoost. The above evaluation results were then fused by D-S evidence theory to extract the final 16 features that are most relevant to the state of the stirred reactor. Finally, the CatBoost algorithm was introduced to establish the stirred reactor health monitoring model. The validation results showed that the model achieves 100% accuracy in detecting the fault/normal state of the stirred reactor and 98% accuracy in diagnosing the type of fault.
KW  - Stirred reactor; fault diagnosis; vibration signal; CatBoost

DO  - 10.32604/cmes.2024.048782