Abstract
Modern industrial systems are growing day by day and unlikely their complexity is also increasing. On the other hand, the design and operations have become a key focus of the researchers in order to improve the production system. To cope up with these chellenges, the data-driven technique like principal component analysis (PCA) is famous to assist the working systems. A data in bulk quanitity from the sensor measurements are often available in such industrial systems. Considering the modern industrial systems and their economic benifits, the fault diagnostic techniqes have been deeply studied. For example, the techniques that consider the process data as the key element. In this paper, the faults have been detected with the data-driven approach using PCA. In particular, the faults have been detected by using T^2 and Q statistics. In this process, PCA projects large data into smaller dimensions. Additionally it also preserves all the important information of process. In order to understand the impact of the technique, Tennessee Eastman chemical plant is considerd for the performance evaluation.
Highlights
Industrial process managemen is one the key and emering issue in the small as well large industrial systems
One the other hand, such factor are very important for a good industrial system. Many of such systems rely on human efforts and the availablity
The fault diagnosis system tries to assure that the plant is safe by identifying unwanted events
Summary
Industrial process managemen is one the key and emering issue in the small as well large industrial systems. A data-driven design of system is one of the great interest both in research and academia Engineering systems such as aircraft controllers, industrial processes, manufacturing systems, transportation systems, electric and electronic system are becoming more complicated to lead the failure. In order to improve the performance and industrial systems it is necessary to work on the automation. It reduces the human efforts and the cost so it effects the economic conditions. It highlights the key issue that may degrade the overall performacne of the system This information is necessary for plant engineer so that a quick action may be performed. PCA is one of the basic technique in the pool of famous techniques
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