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New Generation Artificial Intelligence-Driven Diagnosis and Maintenance Techniques: Advanced Machine Learning Models, Methods and Applications (Smart Sensors, Measurement and Instrumentation, 46) by Guangrui Wen, Zihao Lei, Xuefeng Chen, Xin Huang is a nonfiction available to read on EtoBox.

What is New Generation Artificial Intelligence-Driven Diagnosis and Maintenance Techniques: Advanced Machine Learning Models, Methods and Applications (Smart Sensors, Measurement and Instrumentation, 46) about?

The intelligent diagnosis and maintenance of the machine mainly includes condition monitoring, fault diagnosis, performance degradation assessment and remaining useful life prediction, which plays an important role in protecting people's lives and property. In actual engineering scenarios, machine users always hope to use an automatic method to shorten the maintenance cycle and improve the accuracy of fault diagnosis and prognosis. In the past decade, Artificial Intelligence applications have flourished in many different fields, which also provide powerful tools for intelligent diagnosis and maintenance. This book highlights the latest advances and trends in new generation artificial intelligence-driven techniques, including knowledge-driven deep learning, transfer learning, adversarial learning, complex network, graph neural network and multi-source information fusion, for diagnosis and maintenance of rotating machinery. Its primary focus is on the utilization of advanced artificial intelligence techniques to monitor, diagnose, and perform predictive maintenance of critical structures and machines, such as aero-engine, gas turbines, wind turbines, and machine tools. The main marke

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Author

Guangrui Wen, Zihao Lei, Xuefeng Chen, Xin Huang

Publisher

Springer Singapore

Published

2024

Language

EN

ISBN

9789819711758

Category

nonfiction

Subjects

Science, Stem