An Efficient Methodology for Multiple Fault Diagnosis Including Crosstalk Defects Using Multi-Objective Particle Swarm Optimizer
A Aiswarya, A S Shiji, S. S. Sreeja Mole · 2015
Fault diagnosis plays an important role in improving yield of the VLSI IC manufacturing process. In this paper, we propose a multiple-fault-diagnosis methodology based on the analysis of failing primary outputs and the structure of the circuit under diagnosis. This work analyzes multiple faults simultaneously based on multiple fault simulation in a particle swarm optimization environment. Here, particle swarm optimization is proposed as a multi-objective optimization algorithm by considering crosstalk effect also. Experimental results show that our technique is highly efficient and effective in terms of diagnosability and diagnostic resolution. This approach does not put any restriction on the number of simultaneous faults and has approximately linear time complexity for multiple faults.