This paper presentes a process-monitoring scheme utilising adaptive self-organising maps (SOM) to detect process conditions that lead to the fouling of a caliper sensor in a board machine. The scheme is based on mapping on a SOM the process measurements and the calculated variables which provide insight into the chemical phenomena involved in fouling to classify faulty process conditions. The time-variant nature of the board making process was taken into account by regularly re-training the SOM. The monitoring scheme is demonstrated with industrial data, and the results are presented and discussed.Peer reviewe
Industrial manufacturing plants often suffer from reliability problems during their day-to-day opera...
Abstract: Process monitoring and fault diagnosis is of considerable interest from an industrial pers...
This paper presents a portable condition monitoring system named MAPREX which was developed as resul...
An efficient operation of complex industrial processes requires the continuous diagnosis of the asse...
Condition monitoring of systems and detection of changes in the systems are of significant importanc...
Process monitoring and fault diagnosis have been studied widely in recent years, and the number of i...
We describe work aimed at applying neural network methods to detect abnormalconditions in quality me...
On-line process monitoring with fault detection can provide stability and efficiency for a wide rang...
The goal of this paper is to study a proactive condition monitoring system for fluid power systems w...
The complexity of modern systems is increasing rapidly and the dominating relationships among system...
The report concentrates on a specific case study of a single paper machine. Data from the paper mach...
This paper deals with the maintenance technique for industrial machinery using the artificial neural...
A self-organizing map (SOM) based methodology is proposed for fault detection and diagnosis of proce...
A self-organizing map (SOM) based methodology is proposed for fault detection and diagnosis of proce...
In the process industry including agro and bioprocess, fouling is considered to be a complex andmisu...
Industrial manufacturing plants often suffer from reliability problems during their day-to-day opera...
Abstract: Process monitoring and fault diagnosis is of considerable interest from an industrial pers...
This paper presents a portable condition monitoring system named MAPREX which was developed as resul...
An efficient operation of complex industrial processes requires the continuous diagnosis of the asse...
Condition monitoring of systems and detection of changes in the systems are of significant importanc...
Process monitoring and fault diagnosis have been studied widely in recent years, and the number of i...
We describe work aimed at applying neural network methods to detect abnormalconditions in quality me...
On-line process monitoring with fault detection can provide stability and efficiency for a wide rang...
The goal of this paper is to study a proactive condition monitoring system for fluid power systems w...
The complexity of modern systems is increasing rapidly and the dominating relationships among system...
The report concentrates on a specific case study of a single paper machine. Data from the paper mach...
This paper deals with the maintenance technique for industrial machinery using the artificial neural...
A self-organizing map (SOM) based methodology is proposed for fault detection and diagnosis of proce...
A self-organizing map (SOM) based methodology is proposed for fault detection and diagnosis of proce...
In the process industry including agro and bioprocess, fouling is considered to be a complex andmisu...
Industrial manufacturing plants often suffer from reliability problems during their day-to-day opera...
Abstract: Process monitoring and fault diagnosis is of considerable interest from an industrial pers...
This paper presents a portable condition monitoring system named MAPREX which was developed as resul...