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  • Data-Driven Fault Diagnosis for Complex Industrial Processes

    Towards Fault Prediction, Detection and Identification

    Collections series Mechanical Engineering (R0)
    This book summarizes techniques of fault prediction, detection, and identification, all included specifically in the data-driven fault diagnosis requirements within industrial processes, drawing from the combination of data science, machine learning, and domain-specific expertise. In the modern industrial processes, where efficiency, productivity, and safety stand as paramount pillars, the pursuit ... En savoir plus

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  • Intelligent Testing, Control and Decision-making for Space Launch

    par Yi Chai, Shangfu Li ...
    A comprehensive exposition of the theory and techniques of fault identification and decision theory when applied to complex systemsshows how modern computer analysis and diagnostic methods might be applied to launch vehicle design, checkout, and launchthe space checkout system is a specialized area which is rarely explored in terms of the intelligent techniques and approaches involvedan original ... En savoir plus

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    This book focuses on computational intelligence techniques and their applications — fast-growing and promising research topics that have drawn a great deal of attention from researchers over the years. It brings together many different aspects of the current research on intelligence technologies such as neural networks, support vector machines, fuzzy logic and evolutionary computation, and covers ... En savoir plus

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  • Data-Driven Fault Detection and Reasoning for Industrial Monitoring

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  • Informed Machine Learning

    Collections series Artificial Intelligence (R0)
    This open access book presents the concept of Informed Machine Learning and demonstrates its practical use with a compelling collection of applications of this paradigm in industrial and business use cases. These range from health care over manufacturing and material science to more advanced combinations with deep learning, say, in the form of physical informed neural networks. The book is ... En savoir plus

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  • The Science of Deep Learning

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    The Science of Deep Learning emerged from courses taught by the author that have provided thousands of students with training and experience for their academic studies, and prepared them for careers in deep learning, machine learning, and artificial intelligence in top companies in industry and academia. The book begins by covering the foundations of deep learning, followed by key deep learning ... En savoir plus

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  • Gmdh-methodology And Implementation In Matlab

    Group method of data handling (GMDH) is a typical inductive modeling method built on the principles of self-organization. Since its introduction, inductive modelling has been developed to support complex systems in prediction, clusterization, system identification, as well as data mining and knowledge extraction technologies in social science, science, engineering, and medicine.This is the first ... En savoir plus

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  • Analysis and Synthesis of Fault-Tolerant Control Systems

    In recent years, control systems have become more sophisticated in order to meet increased performance and safety requirements for modern technological systems. Engineers are becoming more aware that conventional feedback control design for a complex system may result in unsatisfactory performance, or even instability, in the event of malfunctions in actuators, sensors or other system components. ... En savoir plus

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  • Multivariate Statistical Process Control

    Process Monitoring Methods and Applications

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