25 citations · 46 across the 12 of their papers we have counts for
12 papers
A Tutorial on Autonomous Fault-Tolerant Control Using Knowledge-Grounded LLM Agents
Javal Vyas, Milapji Singh Gill, Artan Markaj +2
Fault recovery in process plants still relies heavily on plant operators, especially when faults fall outside predefined supervisory logic. Operators interpret alarms, procedures,…
Automating Cause-Effect Specification with Knowledge Graphs and Large Language Models
Javal Vyas, Milapji Singh Gill, Mehmet Mercangöz
Engineering specifications such as interlocks, alarm rationalization tables, and cause-and-effect (C&E) matrices remain central to process control and safety, yet their creation is…
From Detection to Action: Using LLM Agents for Fault-Tolerant Control
Javal Vyas, Milapji Singh Gill, Artan Markaj +2
We propose an agentic Large Language Model (LLM) framework for active Fault-Tolerant Control (FTC) that transforms fault detection outputs into constraint-aware recovery actions gr…
An Expert Survey on Models and Digital Twins
Jonathan Reif, Daniel Dittler, Milapji Singh Gill +5
Digital Twins (DTs) are becoming increasingly vital for future industrial applications, enhancing monitoring, control, and optimization of physical assets. This enhancement is made…
Representing Time-Continuous Behavior of Cyber-Physical Systems in Knowledge Graphs
Milapji Singh Gill, Tom Jeleniewski, Felix Gehlhoff +1
Time-continuous dynamic models are essential for various Cyber-Physical System (CPS) applications. To ensure effective usability in different lifecycle phases, such behavioral info…
Leveraging LLM Agents and Digital Twins for Fault Handling in Process Plants
Milapji Singh Gill, Javal Vyas, Artan Markaj +2
Advances in Automation and Artificial Intelligence continue to enhance the autonomy of process plants in handling various operational scenarios. However, certain tasks, such as fau…
Chatbot-Based Ontology Interaction Using Large Language Models and Domain-Specific Standards
Jonathan Reif, Tom Jeleniewski, Milapji Singh Gill +2
The following contribution introduces a concept that employs Large Language Models (LLMs) and a chatbot interface to enhance SPARQL query generation for ontologies, thereby facilit…
Integrating Ontology Design with the CRISP-DM in the context of Cyber-Physical Systems Maintenance
Milapji Singh Gill, Tom Westermann, Gernot Steindl +2
In the following contribution, a method is introduced that integrates domain expert-centric ontology design with the Cross-Industry Standard Process for Data Mining (CRISP-DM). Thi…
Representing Timed Automata and Timing Anomalies of Cyber-Physical Production Systems in Knowledge Graphs
Tom Westermann, Milapji Singh Gill, Alexander Fay
Model-Based Anomaly Detection has been a successful approach to identify deviations from the expected behavior of Cyber-Physical Production Systems. Since manual creation of these…
Integration of Domain Expert-Centric Ontology Design into the CRISP-DM for Cyber-Physical Production Systems
Milapji Singh Gill, Tom Westermann, Marvin Schieseck +1
In the age of Industry 4.0 and Cyber-Physical Production Systems (CPPSs) vast amounts of potentially valuable data are being generated. Methods from Machine Learning (ML) and Data…
Systematic Comparison of Software Agents and Digital Twins: Differences, Similarities, and Synergies in Industrial Production
Lasse Matthias Reinpold, Lukas Peter Wagner, Felix Gehlhoff +7
To achieve a highly agile and flexible production, it is envisioned that industrial production systems gradually become more decentralized, interconnected, and intelligent. Within…
Toward a Mapping of Capability and Skill Models using Asset Administration Shells and Ontologies
Luis Miguel Vieira da Silva, Aljosha Köcher, Milapji Singh Gill +2
In order to react efficiently to changes in production, resources and their functions must be integrated into plants in accordance with the plug and produce principle. In this cont…