التفاصيل البيبلوغرافية
| العنوان: |
Fault detection and diagnosis for plasticizing process of single-base gun propellant using mutual information weighted mpca under limited batch samples modelling |
| المؤلفون: |
Yang MY(杨明毅), Wang JY(王军义), Zhang YL(张吟龙), Bai XL(白鑫林), Xu ZG(徐志刚), Xia XF(夏小芳), Fan LL(范林林) |
| سنة النشر: |
2021 |
| المجموعة: |
Shenyang Institute Of Automation ,Chinese Academy Of Sciences: SIA OpenIR / 中国科学院沈阳自动化研究所机构知识库 |
| مصطلحات موضوعية: |
Bayesian inference, Early warning of failure, Fault detection and diagnosis, Gun propellant, Normalized mutual information, Plasticizing process, Principal component analysis, Engineering, Electrical & Electronic, Mechanical, PLANT-WIDE PROCESS, VARIABLE SELECTION, PERSPECTIVES, RELEVANT |
| الوصف: |
Aiming at the lack of reliable gradual fault detection and abnormal condition alarm and evaluation ability in the plasticizing process of single-base gun propellant, a fault detection and diagnosis method based on normalized mutual information weighted multiway principal component analysis (NMI-WMPCA) under limited batch samples modelling was proposed. In this method, the differences of coupling correlation among multi-dimensional process variables and the coupling characteristics of linear and nonlinear relationships in the process are considered. NMI-WMPCA utilizes the generalization ability of a multi-model to establish an accurate fault detection model in limited batch samples, and adopts fault diagnosis methods based on a multi-model SPE statistic contribution plot to identify the fault source. The experimental results demonstrate that the proposed method is effective, which can realize the rapid detection and diagnosis of multiple faults in the plasticizing process. © 2021 by the authors. Licensee MDPI, Basel, Switzerland. |
| نوع الوثيقة: |
report |
| اللغة: |
English |
| Relation: |
Machines; http://ir.sia.cn/handle/173321/29505 |
| الاتاحة: |
http://ir.sia.cn/handle/173321/29505 |
| Rights: |
cn.org.cspace.api.content.CopyrightPolicy@73517daf |
| رقم الانضمام: |
edsbas.D4A39F00 |
| قاعدة البيانات: |
BASE |