Showing papers by "Kewal K. Saluja published in 2022"
05 Jul 2022
TL;DR: This paper presents a fault diagnosis method using a machine learning technique that neither needs to perform fault simulation nor it needs to store fault dictionaries in deducing candidate faults.
Abstract: This paper presents a fault diagnosis method using a machine learning technique. The method neither needs to perform fault simulation nor it needs to store fault dictionaries in deducing candidate faults. The output responses of a circuit under diagnosis are applied to a trained neural network, and candidate faults are obtained as a result. The paper also investigates the generation of data that are used to train the neural network. The effectiveness of the proposed method is shown by the experimental results for benchmark circuits.