Anomaly Detection in Estimation of Load and Prediction of Load in Networked Control System Using Correlation and Regression Data Analysis

Abstract

Balancing of load on a networked control system is an important operation in continuous process control. An unbalanced load causes overloading of a network, which results in loss of data or interruption in accessing the real-time control data. This paper is involved in the identification of factors and their dependency on load using correlation and further the detection of an anomaly in load on the network. Also, the mathematical relationship between load and the devices on the network is developed for the prediction of the load with the help of statistical regression data analysis. Foundation Fieldbus network segment, a popularly used communication protocol in process control applications is taken as an example for numerical analysis. The results of this approach found that the average anomaly in load estimation is about 0.482% due to a residual load of 1.5417% for segment configuration.

KEYWORDS:

• Anomaly detection
• Residual load
• Correlation
• Regression
• Estimation of the load

Additional information

Notes on contributors

S. M. A. K. Azad

S M A K Azad worked as a researcher for instrumentation and control engineering, National Institute of Technology, Tiruchirappalli, Tamilnadu, India. He served as an R&D engineer for ABB GISL in process automation. Also, he functioned as assistant manager for Yokogawa India Limited, Bangalore, India. His areas of research include industrial automation and control, industrial communication protocols, and networking. He has more than ten years of experience in teaching and around four years experience industry.

K. Srinivasan

K Srinivasan is associate professor for ICE Department, National Institute of Technology, Tiruchirappalli, Tamilnadu, India. Currently, a member of proficient bodies of ACDOS Society, ISTE, and IEI, India. His area of interest includes process control and network control system. He contributed number of research publications on instrumentation, control, networking, and DCS. He completed successfully three DST projects from India. He was trained for research in NUS, Singapore, received the Young Scientist Project Grant in 2010, the International Conference Travel Grant in 2013 from DST, GOI, and the Young Faculty Research Fellow (YFRF) of Meity, GOI, in 2017. Email: [email protected]