Divya Srikakulapu of Honeywell Intelligrated

This session focuses on how complex electrical and control system failures present in live industrial automation environments and how experienced engineers diagnose and resolve them under real operational constraints. Using examples from production systems, the talk examines common failure patterns across power distribution, machine control logic execution, motion and speed systems, sensors, I/Os, and industrial networks, highlighting why root causes are often obscured by interacting faults across multiple system layers. The session then presents a structured, practitioner-driven debugging approach that leverages live PLC or PC-based controller data, alarms and trends, electrical and motion diagnostics, and network behavior to isolate root causes while systems remain operational. Emphasis is placed on pattern recognition, distinguishing true faults from nuisance signals, and validating fixes without introducing secondary issues. The talk concludes by showing how recurring debug data reveals reliability patterns that support preventative actions, and how these same patterns enable emerging AI-assisted diagnostics and predictive monitoring using live controller and field data focusing on practical value, current limitations, and real-world applicability.

Biography:

Divya Srikakulapu is an Electrical Engineer at Honeywell Intelligrated, specializing in troubleshooting and resolving complex electrical and controls systems in large-scale material handling automation. She leads WMS-to-machine integrations, system commissioning, and reliability improvements, and explores AI-assisted diagnostics and predictive monitoring in live industrial environments. She holds a Master’s in Electrical & Computer Engineering from Mississippi State University and a Bachelor’s in Electrical & Electronics Engineering from Andhra University.

Address:Ohio, United States