自动化学报2017，Vol.43Issue(12)：2160-2169,10.DOI:10.16383/j.aas.2017.c160505
基于精简并发潜结构映射的竖炉焙烧过程综合故障诊断
Comprehensive Fault Diagnosis of Shaft Furnace Roasting Processes Using Simplified Concurrent Projection to Latent Structures
摘要
Abstract
Operational faults of shaft furnace roasting processes can appear when operational conditions change ab-normally or operators do not react properly or timely. Typical operational faults, including fire-emitting, flame-out, under-reduction and over-reduction,are highly related to process safety and product quality,e.g.,magnetic tube recovery rate(MTRR).Fault diagnosis of shaft furnace roasting processes deserves more attentions. However,it is difficult to apply model-based or knowledge-based fault diagnosis methods. In particular,it is difficult to model the relations between fault and product quality. In this paper data-driven concurrent projection to latent structures(CPLS)based fault diagnosis is developed for shaft furnace roasting processes. First, a CPLS based comprehensive monitoring method for shaft furnace roasting processes is proposed by combining co-variation and residual of process spaces of concurrent projection to latent structures into a simplified MTRR-relevant process-variation space. Secondly, a corresponding simplified reconstruction-based contribution method is proposed and used to pinpoint the faulty variable. Finally,the proposed methods are verified using the data collected from a hardware-in-loop simulation platform. The results demonstrate that the quality-relevant faults as well as faulty variables are successfully diagnosed.关键词
竖炉焙烧过程/综合故障诊断/并发潜结构映射/精简重构贡献Key words
Shaft furnace roasting processes/comprehensive fault diagnosis/concurrent projection to latent structures (CPLS)/simplified reconstruction based contributions引用本文复制引用
刘强,秦泗钊..基于精简并发潜结构映射的竖炉焙烧过程综合故障诊断[J].自动化学报,2017,43(12):2160-2169,10.基金项目
国家自然科学基金(61673097,61304107,61490704,61573022),深圳市科技计划项目(基20160207),德克萨斯–威斯康辛–加利福尼亚控制联盟(TWCCC),博士后国际交流计划派出项目(20130020),中央高校基本科研业务费(N160804002,N160801001)资助Supported by National Natural Science Foundation of China(61673097,61304107,61490704,61573022),the Fundamental Disciplinary Research Program of the Shenzhen Committee on Science and Innovation(20160207),the Texas-Wisconsin-California Control Consortium,the International Postdoctoral Exchange Fellowship Program(20130020),the Fundamental Research Funds for the Central Universities(N160804002,N160801001) （61673097,61304107,61490704,61573022）
