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Javal Vyas

5 papers indexed

arxiveess.SY2026-07-21

From P&ID Drawings to Process Graphs: A Multimodal Language Model Approach

Baikai Zhu, Samuel Duong, Javal Vyas, Mehmet Mercangöz

Piping and instrumentation diagrams (P&IDs) encode the functional structure of process plants and are a critical yet underutilised source of engineering knowledge for digital twins and intelli-gent decision support. However, digitising legacy P&IDs remains challenging due to hete…

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arxivmath.OCeess.SY2026-07-21

Optimization models and algorithms for the Unit Commitment problem

Javal Vyas, Carl Laird, Ignacio E. Grossmann, Ricardo M. Lima, Iiro Harjunkoski, Jan Poland

The unit commitment problem determines the optimal strategy to meet the electricity demand at minimum cost by committing power generation units at each point of time. Solving the unit commitment problem gives rise to a challenging optimization problem due to its combinatorial com…

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arxiveess.SYcs.AIcs.MA2026-06-30

A Tutorial on Autonomous Fault-Tolerant Control Using Knowledge-Grounded LLM Agents

Javal Vyas, Milapji Singh Gill, Artan Markaj, Felix Gehlhoff, Mehmet Mercangöz

Fault recovery in process plants still relies heavily on plant operators, especially when faults fall outside predefined supervisory logic. Operators interpret alarms, procedures, P\&IDs, interlocks, and process trends, then decide how to move the plant to a safe operating mode w…

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arxiveess.SYcs.AI2026-06-30

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 still predominantly manual, document-driven, and prone to inconsistency. This paper presents a sema…

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arxiveess.SYcs.LG2026-06-26

From Detection to Action: Using LLM Agents for Fault-Tolerant Control

Javal Vyas, Milapji Singh Gill, Artan Markaj, Felix Gehlhoff, Mehmet Mercangöz

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 grounded in plant-specific knowledge. The approach couples (i) a multi-agent workflow that decomposes…

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