Advanced System Diagnostics Tools: Innovations and Applications
This chapter explores the evolution and significance of advanced diagnostics tools in complex system management, emphasizing the shift toward integrated, intelligent, and predictive diagnostics. It covers the application of artificial intelligence (AI) and machine learning (ML) for predictive mainte...
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| Autores principales: | , , |
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| Formato: | Capítulo de libro |
| Lenguaje: | inglés |
| Publicado: |
IntechOpen
2024
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| Materias: | |
| Acceso en línea: | https://www.intechopen.com/chapters/89371 |
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| Sumario: | This chapter explores the evolution and significance of advanced diagnostics tools in complex system management, emphasizing the shift toward integrated, intelligent, and predictive diagnostics. It covers the application of artificial intelligence (AI) and machine learning (ML) for predictive maintenance, real-time monitoring, and the integration of sensor technologies with the Internet of Things (IoT). The text examines the use of diagnostic tools in various fields, including mechanical, electrical, software, and network systems, with specific attention to industry applications in automotive, aerospace, and healthcare sectors. These examples illustrate how diagnostics are transforming these industries by enhancing efficiency, safety, and reliability. The chapter also discusses the role of diagnostics in system design, the importance of built-in diagnostics, and the challenges of managing and interpreting the large volumes of data these tools generate. It highlights innovative data analysis and visualization techniques and looks ahead to future trends in diagnostics, such as the potential impact of quantum computing and concerns over cybersecurity and data privacy. Overall, the chapter provides a comprehensive overview of the current state and future directions of advanced system diagnostics. |
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| ISBN: | 978-0-85014-339-3 |
| DOI: | 10.5772/intechopen.114378 |