A new AI system has been developed to enhance fault detection using smarter optimization techniques.The system utilizes quadratic neural networks and convolutional filters to extract cyclic features and improve fault diagnosis.The method incorporates a joint loss function that combines the objective functions of fault detection and downstream classification tasks.The system demonstrates flexibility and can be easily integrated with various 1D classifiers for improved performance.