Advances in Diagnostic Analysis, Strategic Management, and Proactive Maintenance of Electrical Equipment (Hardcover)

Xiaozhen Zhao

ISBN 10: 3725867402 / ISBN 13: 9783725867400

Editore: Mdpi AG, 2026

Hardcover. The reliability and safety of modern power systems depend heavily on the optimal performance of electrical equipment. As energy networks become increasingly complex due to the integration of renewable sources and smart grid technologies, the strategies that are used to manage these assets must evolve. This Reprint compiles cutting-edge research and practical case studies dedicated to the lifecycle management of critical power infrastructure. The collected works explore sophisticated diagnostic techniques, including non-invasive sensing, signal processing, and AI-driven fault detection. The authors address the shift from traditional time-based maintenance to proactive, condition-based strategies that utilize real-time data to predict failures before they occur. Key topics include the monitoring of power transformers, switch, cables, and rotating machines, as well as the economic and strategic frameworks that are required to implement these advanced maintenance protocols. By integrating physical analysis with data-driven decision-making, this Reprint offers a comprehensive overview of how utilities and industries can enhance system resilience, extend equipment lifespan, and reduce operational costs. It serves as a vital resource for engineers, researchers, and asset managers aiming to navigate the technical challenges of the modern energy landscape. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9783725867400

Riassunto:

The reliability and safety of modern power systems depend heavily on the optimal performance of electrical equipment. As energy networks become increasingly complex due to the integration of renewable sources and smart grid technologies, the strategies that are used to manage these assets must evolve. This Reprint compiles cutting-edge research and practical case studies dedicated to the lifecycle management of critical power infrastructure. The collected works explore sophisticated diagnostic techniques, including non-invasive sensing, signal processing, and AI-driven fault detection. The authors address the shift from traditional time-based maintenance to proactive, condition-based strategies that utilize real-time data to predict failures before they occur. Key topics include the monitoring of power transformers, switch, cables, and rotating machines, as well as the economic and strategic frameworks that are required to implement these advanced maintenance protocols. By integrating physical analysis with data-driven decision-making, this Reprint offers a comprehensive overview of how utilities and industries can enhance system resilience, extend equipment lifespan, and reduce operational costs. It serves as a vital resource for engineers, researchers, and asset managers aiming to navigate the technical challenges of the modern energy landscape.

Dati bibliografici

Titolo: Advances in Diagnostic Analysis, Strategic ...
Casa editrice: Mdpi AG
Data di pubblicazione: 2026
Legatura: Hardcover
Condizione: new