自动化学报2017，Vol.43Issue(3)：349-365,17.DOI:10.16383/j.aas.2017.c160427
复杂工业过程质量相关的故障检测与诊断技术综述
Review of Quality-related Fault Detection and Diagnosis Techniques for Complex Industrial Processes
摘要
Abstract
Quality-related fault detection and diagnosis techniques have been extensively applied to the process control field to guarantee production safety and product quality, which, thus, have recently become an active area of research both in academia and industry. Firstly, the basic idea and improvements of typical methods for quality-related fault detection techniques are introduced in this paper. Then, quality-related fault diagnosis techniques are revisited, with special case study attention on the contribution plot based methods and their improved methods, in which on a hot strip mill process (HSMP) is used to show their different performances. Finally, the state-of-the-art research of quality-related fault detection and diagnosis methods for main characteristics of complex industrial process operation data are reviewed, and open problems, challenges and perspectives for future research are presented as well.关键词
质量相关/故障检测/故障诊断/偏最小二乘/贡献图Key words
Quality-related/fault detection/fault diagnosis/partial least squares (PLS)/contribution plot引用本文复制引用
彭开香,马亮,张凯..复杂工业过程质量相关的故障检测与诊断技术综述[J].自动化学报,2017,43(3):349-365,17.基金项目
国家自然科学基金(61473033)资助Supported by National Natural Science Foundation of China(61473033) （61473033）
