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Data-Driven Fault Diagnosis: A Machine Learning Approach for Industrial Components by Govind Vashishtha ISBN 9781041011637, 9781041014553, 9781003614821, 1041011636, 1041014554, 1003614825 instant download

  • SKU: EBN-239518838
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Instant download (eBook) Data-Driven Fault Diagnosis: A Machine Learning Approach for Industrial Components after payment.
Authors:Govind Vashishtha
Pages:189 pages
Year:2025
Edition:1
Publisher:CRC Press
Language:english
File Size:6.0 MB
Format:pdf
ISBNS:9781041011637, 9781041014553, 9781003614821, 1041011636, 1041014554, 1003614825
Categories: Ebooks

Product desciption

Data-Driven Fault Diagnosis: A Machine Learning Approach for Industrial Components by Govind Vashishtha ISBN 9781041011637, 9781041014553, 9781003614821, 1041011636, 1041014554, 1003614825 instant download

Data-Driven Fault Diagnosis delves into the application of machine learning techniques for achieving robust and efficient fault diagnosis in industrial components. The book covers a range of key topics, including data acquisition and preprocessing, feature engineering, model selection and training, and real-time implementation of diagnostic systems. It examines popular machine learning algorithms like Support Vector Machines, Convolutional Neural Network, and Extreme Learning Machine, highlighting their strengths and limitations in different industrial contexts. Practical case studies and real-world examples from various sectors like manufacturing, energy, and transportation illustrate the real-world impact of these techniques. The aim of this book is to empower engineers, data scientists, and researchers with the knowledge and tools necessary to implement data-driven fault diagnosis systems in their respective industrial domains. .
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