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Ghosh, Arup,Qin, Shiming,Lee, Jooyeoun,Wang, Gi-Nam Hindawi Publishing Corporation 2016 Computational intelligence and neuroscience Vol.2016 No.-
<P>Operational faults and behavioural anomalies associated with PLC control processes take place often in a manufacturing system. Real time identification of these operational faults and behavioural anomalies is necessary in the manufacturing industry. In this paper, we present an automated tool, called PLC Log-Data Analysis Tool (PLAT) that can detect them by using log-data records of the PLC signals. PLAT automatically creates a nominal model of the PLC control process and employs a novel hash table based indexing and searching scheme to satisfy those purposes. Our experiments show that PLAT is significantly fast, provides real time identification of operational faults and behavioural anomalies, and can execute within a small memory footprint. In addition, PLAT can easily handle a large manufacturing system with a reasonable computing configuration and can be installed in parallel to the data logging system to identify operational faults and behavioural anomalies effectively.</P>
Ghosh, Arup,Qin, Shiming,Lee, Jooyeoun,Wang, Gi-Nam IEEE 2017 IEEE transactions on systems, man, and cybernetics Vol.47 No.12
<P>The fault and behavioral anomaly detection and isolation (FBADI) in programmable logic controller (PLC) controlled systems has been under an active study for several decades. In this paper, we present a tool, called the fault and behavior monitoring tool for PLC (FBMTP) that can solve the FBADI problem in PLC-controlled manufacturing systems effectively. FBMTP first creates a nominal deterministic finite-state automaton-based model of the PLC control process, and then utilizes that model to detect and isolate the faults and the behavioral anomalies. The key idea is to check whether the observed behavior is consistent with the modeled behavior or not. The control signal data stored in the PLC memory is used for this whole procedure. With growing size of the manufacturing systems, it becomes difficult to obtain all the control signal data accurately because of the limited data acquisition time in each PLC scan cycle. The proposed control process modeling and the FBADI methodology of FBMTP can cope with such data inaccuracy problems associated with large manufacturing systems efficiently. Our experiments show that FBMTP provides highly accurate FBADI results for both small and large manufacturing systems.</P>
Pal Soumita,Karmakar Prasun,Chattopadhyay Arup,Ghosh Sunil Kumar 한국응용곤충학회 2021 Journal of Asia-Pacific Entomology Vol.24 No.2
Tomato production in the tropics is threatened by whitefly infestation and tomato leaf curl virus (ToLCV) causing severe economic losses. No stable resistance to these biotic challenges has been identified in eastern India. Therefore, initial screening of 19 advance breeding lines of tomato was carried out during the year 2016–17. Based on the whitefly population per leaf and tomato leaf curl disease severity, eight tomato genotypes were selected for final screening during the year 2017–18. Morphological leaf traits and biochemical parameters in tomato leaf were assessed in selected genotypes and considered as potential mediators of resistance. Significant variation was observed for whitefly infestation and ToLCV disease severity among the tomato genotypes tested. Higher leaf trichome density with narrow and thinner leaves and higher total phenol content in leaf emerged as reliable morphological and biochemical markers for early selection of tomato genotype resistant to whitefly and ToLCV disease. The resistance of tomato genotypes 2016/Res-1, 2015/Res-5, 2014/Res-1 and 2014/Res-4 to both whitefly and ToLCV disease is based on antixenotic properties and they could be utilized in future breeding to enhance stable resistance against these biotic challenges.