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 …
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 …
Simulated moving-bed chromatography (SMBC) separation of a solution containing three different saccharides was investigated by real-time, inline monitoring of the concentration of each saccharide with Fourier transform near-infrared spectroscopy …
To implement on-line process monitoring techniques that utilize principal component analysis (PCA) or partial least squares (PLS) models, it is important to use reliable data that represents normal process operation when constructing the models. In …
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 …
This paper presents a fault detection methodology based on the Fisher discriminant analysis (FDA) and individuals control charts (XmR control charts). As the first step, FDA is used to find the optimal discriminant direction between the normal …
Oscillations in process control loops present a common problem. This paper proposes a new algorithm to detect valve stiction for diagnosis of oscillation. Formalism for the qualitative description of input?output characteristics of a valve is also …
Valve stiction is the most common cause of the problem on control loops in process industry. To improve the productivity and quality, industrial enbineers demand a tool to facilitate loop monitoring. This paper present a new algorithm to detect valve …
This paper proposes a new fault detection method using an absolute-value based Fisher discriminant analysis combined with the individuals and moving range chart. Two fault identification methods are also proposed by using the discriminant model, …