Condition Monitoring Algorithms in Matlab®

This book offers the first comprehensive and practice-oriented guide to condition monitoring algorithms in MATLAB®. After a concise introduction to vibration theory and signal processing techniques, the attention is moved to the algorithms. Each signal processing algorithm is presented in depth, from the theory to the application, and including extensive explanations on how to use the corresponding toolbox in MATLAB®.

This book offers the first comprehensive and practice-oriented guide to condition monitoring algorithms in MATLAB®. After a concise introduction to vibration theory and signal processing techniques, the attention is moved to the algorithms. Each signal processing algorithm is presented in depth, from the theory to the application, and including extensive explanations on how to use the corresponding toolbox in MATLAB®.

This book offers the first comprehensive and practice-oriented guide to condition monitoring algorithms in MATLAB®. After a concise introduction to vibration theory and signal processing techniques, the attention is moved to the algorithms. Each signal processing algorithm is presented in depth, from the theory to the application, and including extensive explanations on how to use the corresponding toolbox in MATLAB®.

MathWorks has introduced Release 2022a Update 2 (9.12.0.1956245) of the MATLAB and Simulink product families. The 2022a release offers hundreds of new and updated features and functions in MATLAB and Simulink, along with five new products and 11 major updates.

MathWorks introduced Release 2018a (R2018a) with a range of new capabilities in MATLAB and Simulink. R2018a includes two new products, Predictive Maintenance Toolbox for designing and testing condition monitoring and predictive maintenance algorithms, and Vehicle Dynamics Blockset for modeling and simulating vehicle dynamics in a virtual 3D environment.

The MathWorks team is pleased to announce the availability of MATLAB R2019a (build 9.6.0.1072779). This release is primarily a quality improvement release, but there are some changes in functionality.

MathWorks introduced an update to Release 2018a (R2018a) with a range of new capabilities and fixed bugs in MATLAB and Simulink.

Supervised Data Aquisition, Classification Learner, Diagnostic Feature Designer, Data Ensemble, Time Domain Features.