Xuefeng Chen - Böcker
Visar alla böcker från författaren Xuefeng Chen. Handla med fri frakt och snabb leverans.
4 produkter
4 produkter
1 624 kr
Skickas inom 10-15 vardagar
This book highlights the latest advances and trends in advanced signal processing (such as wavelet theory, time-frequency analysis, empirical mode decomposition, compressive sensing and sparse representation, and stochastic resonance) for structural health monitoring (SHM). Its primary focus is on the utilization of advanced signal processing techniques to help monitor the health status of critical structures and machines encountered in our daily lives: wind turbines, gas turbines, machine tools, etc. As such, it offers a key reference guide for researchers, graduate students, and industry professionals who work in the field of SHM.
1 624 kr
Skickas inom 10-15 vardagar
This book highlights the latest advances and trends in advanced signal processing (such as wavelet theory, time-frequency analysis, empirical mode decomposition, compressive sensing and sparse representation, and stochastic resonance) for structural health monitoring (SHM).
Del 46 - Smart Sensors, Measurement and Instrumentation
New Generation Artificial Intelligence-Driven Diagnosis and Maintenance Techniques
Advanced Machine Learning Models, Methods and Applications
Inbunden, Engelska, 2024
1 891 kr
Skickas inom 7-10 vardagar
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.
Del 46 - Smart Sensors, Measurement and Instrumentation
New Generation Artificial Intelligence-Driven Diagnosis and Maintenance Techniques
Advanced Machine Learning Models, Methods and Applications
Häftad, Engelska, 2025
1 891 kr
Skickas inom 10-15 vardagar
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 markets of this book include academic and industrial fields, such as academic institutions, libraries of university, industrial research center. This book is essential reading for faculty members of university, graduate students, and industry professionals in the fields of diagnosis and maintenance.