Machine Learning-Based Fault Diagnosis for Industrial Engineering Systems (Advances in Intelligent Decision-Making, Systems Engineering, and Project Management)

Price: $115.00
(as of Dec 29,2024 07:13:13 UTC – Details)

Publisher ‏ : ‎ CRC Press; 1st edition (June 17, 2022)
Language ‏ : ‎ English
Hardcover ‏ : ‎ 92 pages
ISBN-10 ‏ : ‎ 1032147253
ISBN-13 ‏ : ‎ 978-1032147253
Item Weight ‏ : ‎ 8.4 ounces
Dimensions ‏ : ‎ 0.26 x 6.14 x 9.21 inches

In the field of industrial engineering, the ability to quickly and accurately diagnose faults in systems is crucial for maintaining efficiency and productivity. Traditional methods of fault diagnosis can be time-consuming and often rely on manual intervention, which can lead to delays and increased downtime.

However, with the recent advancements in machine learning technology, there is now a more efficient and effective way to diagnose faults in industrial engineering systems. Machine learning algorithms can analyze vast amounts of data in real-time, allowing for faster and more accurate fault detection.

In the book “Machine Learning-Based Fault Diagnosis for Industrial Engineering Systems (Advances in Intelligent Decision-Making, Systems Engineering, and Project Management),” experts in the field explore the applications of machine learning in fault diagnosis. They discuss how these technologies can be used to optimize maintenance schedules, predict potential failures, and improve overall system performance.

By leveraging the power of machine learning, industrial engineers can proactively identify and address issues before they escalate, ultimately leading to cost savings and improved operational efficiency. This book serves as a valuable resource for professionals looking to stay ahead of the curve in the rapidly evolving field of industrial engineering.
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