Abstract The Internet of Things benefits connectivity and functionality in industrial
environments, while Cloud Computing boosts computational capability. Hence, historical …

Safe and stable operation plays an important role in the chemical industry. Fault detection
and diagnosis (FDD) make it possible to identify abnormal process deviations early and …

摘要提出了一种全新的分类框架, 将故障诊断方法整体分为两大类, 即定性分析的方法和定量
分析的方法. 对现有的方法在此框架下进行了划分, 并详细介绍了每种方法的基本思想 …

The development of the Internet of Things, cloud computing, and artificial intelligence has
given birth to industrial artificial intelligence (IAI) technology, which enables us to obtain fine …

With ever-accelerating advancement of information, communication, sensing and
characterization technologies, such as industrial Internet of Things (IoT) and high-throughput …

For complex industrial processes with multiple operating conditions, the traditional
multivariate process monitoring techniques such as principal component analysis (PCA) and …

In process industries, early detection and diagnosis of faults is crucial for timely identification
of process upsets, equipment and/or sensor malfunctions. Machine learning techniques …

Kernel principal component analysis (KPCA), which is a nonlinear extension of principal
component analysis (PCA), has gained significant attention as a monitoring method for …

This paper discusses the monitoring of complex nonlinear and time-varying processes.
Kernel principal component analysis (KPCA) has gained significant attention as a …

This paper proposes a framework for quality-based fault detection and diagnosis for
nonlinear batch processes with multimode operating environment. The framework seeks to …