Fault diagnosis is a critical task in the daily operation of chemical processes. In this paper, a hybrid fault diagnosis method is proposed that combines a process-knowledge-based qualitative reasoning technique with fault detection based on a …
With the emergence of Industry 4.0 and Big Data initiatives, there is a renewed interest in leveraging the vast amounts of data collected in (bio)chemical processes to improve their operations. The objective of this article is to provide a …
With the emergence of Industry 4.0 and Big Data initiatives, there is a renewed interest in leveraging the vast amounts of data collected in (bio)chemical processes to improve their operations. The objective of this article is to provide a …
Process monitoring is of importance to maintain process safety, reliability, performance and cost efficiency. This work presents a hybrid fault detection approach that combines process knowledge such as first-principles and process causal relations …
Process monitoring is of importance to maintain process safety, reliability, performance and cost efficiency. This work presents a hybrid fault detection approach that combines process knowledge such as first-principles and process causal relations …
This paper proposes a novel batch process monitoring method called adjoined time series principal component analysis (AdTsPCA). In this method, a modified GG clustering is used for phase identification and data segmentation and multiple time-ordered …
This paper proposes a novel batch process monitoring method called adjoined time series principal component analysis (AdTsPCA). In this method, a modified GG clustering is used for phase identification and data segmentation and multiple time-ordered …
Data-driven approaches to fault detection and isolation are widely used for various process systems. The purpose of this paper is to present a new method to improve the performance of fault diagnosis of chemical plant. This method combines simple …
Data-driven approaches to fault detection and isolation are widely used for various process systems. The purpose of this paper is to present a new method to improve the performance of fault diagnosis of chemical plant. This method combines simple …