Engineering Applications of Correlation and Spectral Analysis

Informationen zum Autor JULIUS S. BENDAT PhD, is President of the J. S. Bendat Company, an independent mathematical consulting firm in Los Angeles, California. An internationally recognized authority in the field, Dr. Bendat has over fifty years of consulting experience in the formulation of mathematical models, the development of statistical error analysis criteria, and the interpretation of engineering results. He is the author of Nonlinear System Techniques and Applications and coauthor of Engineering Applications of Correlation and Spectral Analysis, Second Edition, both published by Wiley. The late ALLAN G. PIERSOL, PE, was president of Piersol Engineering Company. His consulting career spanned over fifty years and focused on a wide range of topics including the development of machinery condition monitoring techniques and the statistical analysis of all types of mechanical shock, vibration, and acoustic data. A Fellow of the Acoustical Society of America and the Institute of Environmental Sciences and Technology, Piersol is the coauthor of Engineering Applications of Correlation and Spectral Analysis, Second Edition. Klappentext Expanded to cover more advanced applications where statistical properties of data can be nonstationary and the physical systems nonlinear as opposed to only linear. Stresses the practical use and interpretation of analyzed data to solve problems. Special attention is given to bias and random errors involved in desired estimates and the proper interpretation of results from specific applications. Includes numerous case studies concerned with dynamic problems which can occur in a variety of fields. Zusammenfassung Expanded to cover more advanced applications where statistical properties of data can be nonstationary and the physical systems nonlinear as opposed to only linear. Stresses the practical use and interpretation of analyzed data to solve problems. Special attention is given to bias and random errors involved in desired estimates and the proper interpretation of results from specific applications. Includes numerous case studies concerned with dynamic problems which can occur in a variety of fields. Inhaltsverzeichnis Probability Functions and Amplitude Measures. Correlation and Spectral Density Functions. Single-Input/Single-Output Relationships. System Identification and Response. Propagation-Path Identification. Single-Input/Multiple-Output Problems. Multiple-Input/Multiple-Output Relationships. Energy-Source Identification. Procedures to Solve Multiple-Input/Multiple-Output Problems. Statistical Errors in Estimates. Nonstationary Data Analysis Techniques. Nonlinear System Analysis Techniques. References. List of Figures. List of Tables. Index. Glossary of Symbols....

Auteur

JULIUS S. BENDAT PhD, is President of the J. S. Bendat Company, an independent mathematical consulting firm in Los Angeles, California. An internationally recognized authority in the field, Dr. Bendat has over fifty years of consulting experience in the formulation of mathematical models, the development of statistical error analysis criteria, and the interpretation of engineering results. He is the author of Nonlinear System Techniques and Applications and coauthor of Engineering Applications of Correlation and Spectral Analysis, Second Edition, both published by Wiley. The late ALLAN G. PIERSOL, PE, was president of Piersol Engineering Company. His consulting career spanned over fifty years and focused on a wide range of topics including the development of machinery condition monitoring techniques and the statistical analysis of all types of mechanical shock, vibration, and acoustic data. A Fellow of the Acoustical Society of America and the Institute of Environmental Sciences and Technology, Piersol is the coauthor of Engineering Applications of Correlation and Spectral Analysis, Second Edition.

Texte du rabat

Expanded to cover more advanced applications where statistical properties of data can be nonstationary and the physical systems nonlinear as opposed to only linear. Stresses the practical use and interpretation of analyzed data to solve problems. Special attention is given to bias and random errors involved in desired estimates and the proper interpretation of results from specific applications. Includes numerous case studies concerned with dynamic problems which can occur in a variety of fields.

Contenu

Probability Functions and Amplitude Measures.

Correlation and Spectral Density Functions.

Single-Input/Single-Output Relationships.

System Identification and Response.

Propagation-Path Identification.

Single-Input/Multiple-Output Problems.

Multiple-Input/Multiple-Output Relationships.

Energy-Source Identification.

Procedures to Solve Multiple-Input/Multiple-Output Problems.

Statistical Errors in Estimates.

Nonstationary Data Analysis Techniques.

Nonlinear System Analysis Techniques.

References.

List of Figures.

List of Tables.

Index.

Glossary of Symbols.