Join thousands of book lovers
Sign up to our newsletter and receive discounts and inspiration for your next reading experience.
By signing up, you agree to our Privacy Policy.You can, at any time, unsubscribe from our newsletters.
It utilizes principles of fuzzy logic, probability theory, and signal processing to develop systems and approaches that are robust in the presence of both noise in the data and variations in properties of materials which are intrinsic to the process of mass production.
The book addresses computational methods for solving the problem of vibration, response, loads and stability of a helicopter rotor blade modeled as a rotating beam with flap or out-of-plane bending.
Examining methods in data filtering, trend shift detection, and fault isolation, this book provides a variety of new research tools for use in the condition monitoring of jet engines. Each method is demonstrated through numerical simulations that can be easily done using worksheets such as Excel® or through MATLAB®. The signal processing algorithms presented will be useful to engineers, scientists, and researchers working on fault diagnosis of gas turbine engines. The algorithms can also be used for condition and health monitoring problems in general.
Examining methods in data filtering, trend shift detection, and fault isolation, this book provides a variety of new research tools for use in the condition monitoring of jet engines. Each method is demonstrated through numerical simulations that can be easily done using worksheets such as Excel® or through MATLAB®. The signal processing algorithms presented will be useful to engineers, scientists, and researchers working on fault diagnosis of gas turbine engines. The algorithms can also be used for condition and health monitoring problems in general.
Sign up to our newsletter and receive discounts and inspiration for your next reading experience.
By signing up, you agree to our Privacy Policy.