SYSTEM AND METHOD OF DETECTING AT LEAST ONE ANOMALY IN AN INDUSTRIAL PROCESS

System and method of detecting at least one anomaly in an industrial process (110) are disclosed. The method comprises: receiving at least one signal associated with the computer-controlled machine (112, 114 and 220) indicative of a runtime operation performed by the computer-controlled machine (112, 114 and 220); classifying the signal (X1, X2, X3) as valid or invalid by a trained discriminator, wherein the trained discriminator is generated using a Generative Adversarial Network (GAN) architecture; predicting an operation performed by the computer-controlled machine (112, 114 and 220) by the trained discriminator in response to the signal (X1, X2, X3); detecting the anomaly when the signal (X1, X2, X3) is classified as invalid or when the predicted operation is different from the runtime operation performed by the computer-controlled machine (112, 114 and 220); determining a fault in the computer-controlled machine (112, 114 and 220) based on the detected anomaly, wherein the fault is determined by isolating the anomaly in the spectrum and/or the datapoints.