Data-Driven Fault Diagnosis

Data-Driven Fault Diagnosis delves into the application of machine learning techniques for achieving robust and efficient fault diagnosis in industrial components. The book covers a range of key topics, including data acquisition and preprocessing, feature engineering, model selection and training, and real-time implementation of diagnostic systems. It examines popular machine learning algorithms like Support Vector Machines, Convolutional Neural Network, and Extreme Learning Machine, highlighti