It takes the average reader 8 hours and 1 minute to read Intelligent Fault Diagnosis and Health Assessment for Complex Electro-Mechanical Systems by Weihua Li
Assuming a reading speed of 250 words per minute. Learn more
Based on AI and machine learning, this book systematically presents the theories and methods for complex electro-mechanical system fault prognosis, intelligent diagnosis, and health state assessment in modern industry. The book emphasizes feature extraction, incipient fault prediction, fault classification, and degradation assessment, which are based on supervised-, semi-supervised-, manifold-, and deep learning; machinery degradation state tracking and prognosis by phase space reconstruction; and complex electro-mechanical system reliability assessment and health maintenance based on running state info. These theories and methods are integrated with practical industrial applications, which can help the readers get into the field more smoothly and provide an important reference for their study, research, and engineering practice.
Intelligent Fault Diagnosis and Health Assessment for Complex Electro-Mechanical Systems by Weihua Li is 474 pages long, and a total of 120,396 words.
This makes it 160% the length of the average book. It also has 147% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 10 hours and 57 minutes to read Intelligent Fault Diagnosis and Health Assessment for Complex Electro-Mechanical Systems aloud.
Intelligent Fault Diagnosis and Health Assessment for Complex Electro-Mechanical Systems is suitable for students ages 12 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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