It takes the average reader 1 hour and 32 minutes to read Machine Learning-Based Fault Diagnosis for Industrial Engineering Systems by Rui Yang
Assuming a reading speed of 250 words per minute. Learn more
This book provides advanced techniques for precision compensation and fault diagnosis of precision motion systems and rotating machinery. Techniques and applications through experiments and case studies for intelligent precision compensation and fault diagnosis are offered along with the introduction of machine learning and deep learning methods. Machine Learning-Based Fault Diagnosis for Industrial Engineering Systems discusses how to formulate and solve precision compensation and fault diagnosis problems. The book includes experimental results on hardware equipment used as practical...
Machine Learning-Based Fault Diagnosis for Industrial Engineering Systems by Rui Yang is 92 pages long, and a total of 23,184 words.
This makes it 31% the length of the average book. It also has 28% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 2 hours and 6 minutes to read Machine Learning-Based Fault Diagnosis for Industrial Engineering Systems aloud.
Machine Learning-Based Fault Diagnosis for Industrial Engineering Systems is suitable for students ages 10 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
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