Abstract Interpretive Structural Modelling (ISM) is one of the most widely used techniques in
identifying the complex structural relationship between various elements. It is commonly …

故障根源诊断与传播路径识别是故障诊断框架下的关键核心问题, 是保障工业过程安全生产及
获得可靠产品质量的有效手段, 是当前过程控制领域的研究热点. 该技术的研究不仅丰富了故障 …

In chemical processes, root cause diagnosis of process faults is highly crucial for efficient
troubleshooting, since if poorly managed, process faults can lead to high-consequence rare …

Root cause diagnosis can locate abnormalities of industrial processes, ensuring production
safety and manufacturing efficiency. However, existing root cause diagnosis models only …

Global pandemics, such as the Coronavirus Disease 2019 (COVID-19), have serious
harmful effects on people′ s physical health and mental well-being. It is imperative …

Bayesian network (BN) is a powerful reasoning and knowledge expression tool combining
the graph theory and the probability theory. Establishing an accurate Bayesian network for …

One of the key issues of the sustainable development in all countries is industrial
productivity improvement, especially the production capacity improvement and energy …

It is crucial to adopt an efficient process monitoring technique that ensures process
operation safety and improves product quality. Toward this endeavor, a modified canonical …

Due to population growth and human activities, water shortages have become an
increasingly serious concern in recent years. The agri-food industry is the largest water …

With the scale expansion of industrial processes, the relationship between process variables
has become complex and highly nonlinear. As a result, the requirements for fault diagnosis …