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There has been considerable interest in fault detection and identification recently due to the increasing complexity of automation processes. A more suitable strategy of using knowledge-based techniques instead of traditional linearization techniques is used to produce a model of a non-linear system. A method to generate the training data is presented. A fuzzy relational sliding mode observer (FRSMO) and proportional integral observer (FRPIO) are proposed to estimate the magnitude of incipient faults in information-poor and non-linear systems. In the fuzzy PIO, fault size can be obtained from...

This book includes original, peer-reviewed research papers from the 6th International Conference on Informatics Engineering & Information Science (ICIEIS 2024), held in Shenzhen, China on May 17-19, 2024. The papers focus on the information perception and processing related to artificial intelligence and robotics, and share the latest research findings in the state-of-the-art methodologies, algorithms and applications in Informatics Engineering and Information Science, making the book valuable for researchers, engineers, and university students alike.