Fault diagnosis and prognostics based on cognitive computing and geometric space transformation

Price: $249.99 – $237.49
(as of Dec 28,2024 06:30:30 UTC – Details)

Publisher ‏ : ‎ Springer; 2024th edition (February 4, 2025)
Language ‏ : ‎ English
Hardcover ‏ : ‎ 568 pages
ISBN-10 ‏ : ‎ 9819989167
ISBN-13 ‏ : ‎ 978-9819989164
Item Weight ‏ : ‎ 1.74 pounds

Fault diagnosis and prognostics are critical aspects of maintenance and reliability engineering, ensuring that equipment and systems operate efficiently and effectively. In recent years, cognitive computing and geometric space transformation have emerged as innovative approaches to enhance fault diagnosis and prognostics.

Cognitive computing, which involves the use of artificial intelligence and machine learning algorithms to mimic human thought processes, can analyze vast amounts of data to identify patterns and trends that may indicate potential faults or failures. By incorporating cognitive computing into fault diagnosis and prognostics, engineers and technicians can make more informed decisions and take proactive measures to prevent downtime and costly repairs.

Geometric space transformation, on the other hand, involves the use of geometric algorithms to transform raw data into a higher-dimensional space where underlying patterns and relationships are more easily discernible. By applying geometric space transformation to fault diagnosis and prognostics, engineers can gain a deeper understanding of the complex interactions between various components and systems, enabling them to predict and prevent potential failures more accurately.

By combining cognitive computing and geometric space transformation, maintenance and reliability engineers can improve the accuracy and efficiency of fault diagnosis and prognostics, ultimately reducing downtime, increasing equipment lifespan, and optimizing maintenance schedules. As technology continues to evolve, it is essential for professionals in the field to stay abreast of these cutting-edge approaches to ensure the continued reliability and performance of critical systems and equipment.
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