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Selected Works

Nagesh Shukla

Diagnosis

Articles 1 - 2 of 2

Full-Text Articles in Engineering

Fault Diagnosis In Multi-Station Assembly Systems Using An Agent-Based Simulation Model, Nagesh Shukla, Manoj Tiwari, Darek Ceglarek Apr 2015

Fault Diagnosis In Multi-Station Assembly Systems Using An Agent-Based Simulation Model, Nagesh Shukla, Manoj Tiwari, Darek Ceglarek

Nagesh Shukla

Today’s automotive industries require quick ramp-up in order to shorten the time to market and fulfill greater demand for product variety. Since, dimensional tolerance problems are one of the main causes for delay during ramp-up in multi-station assembly systems; hence, rapid diagnosis of faults contributing to dimensional errors is of significant concern. This paper presents an agent-based simulation model (ABSM) which integrates model-based and data-based diagnostics for fault diagnosis and correction in multi-station assembly processes. The fault causing variation sources, their effects on dimensional accuracy, diagnosis from sensors data and corrective actions in multi-station assembly systems are simulated using proposed …


Feature-Based Optimal Sensor Distribution For Six-Sigma Variation Diagnosis In Multi-Station Assembly Processes, Nagesh Shukla, Darek Ceglarek, Manoj Tiwari Apr 2015

Feature-Based Optimal Sensor Distribution For Six-Sigma Variation Diagnosis In Multi-Station Assembly Processes, Nagesh Shukla, Darek Ceglarek, Manoj Tiwari

Nagesh Shukla

This paper presents a novel feature-based sensor distribution approach for root cause analysis and diagnosis of product 6-sigma variation faults in multi-station assembly processes. Traditional approaches in sensor distribution are based on the assumption that measurement points can be selected at arbitrary locations on the part or subassembly. This causes challenges such as difficult calibration of measurement system, increased errors of measured features, and lack of explicit relations between measured features and geometric dimensioning and tolerancing (GD&T). In the proposed approach, we develop methodology to maximize the number of measurement points that are placed at critical design features called Key …