Prediction of Fault in Gas Chromatograph using Convolutional Neural Network

This paper presents the use of Artificial Intelligence(AI) to predict the fault in gas chromatograph(GC). Techniques in AI uses statistical method which demand for large and adequate dataset. Convolutional neural network(CNN) is Deep Neural Network (DNN) mainly used for image analysis which include detection of objects, classification of images. This paper uses CNN to predict the faults by irregularities in pattern of gas chromatogram. Faults like shoulder peak, negative peak and good peak has identified. Inception Network architecture of neural network is used for the prediction of these faults.