Andere Kunden interessierten sich auch für
![Modeling and Identification for Anomaly detection in Mechanical System]( "Modeling and Identification for Anomaly detection in Mechanical System")
Modeling and Identification for Anomaly detection in Mechanical System42,91 €![Photovoltaic / Diesel / Battery hybrid power supply system]( "Photovoltaic / Diesel / Battery hybrid power supply system")
Photovoltaic / Diesel / Battery hybrid power supply system32,99 €![PLASMA SPRAY PROCESS ADVANCED CONTROL SYSTEM DESIGN]( "PLASMA SPRAY PROCESS ADVANCED CONTROL SYSTEM DESIGN")
PLASMA SPRAY PROCESS ADVANCED CONTROL SYSTEM DESIGN51,99 €![QUANTUM MECHANICAL EFFECTS ON MOSFET SCALING LIMIT]( "QUANTUM MECHANICAL EFFECTS ON MOSFET SCALING LIMIT")
QUANTUM MECHANICAL EFFECTS ON MOSFET SCALING LIMIT44,99 €![Squeal Noise Analysis in Mechanical Structure with Friction]( "Squeal Noise Analysis in Mechanical Structure with Friction")
Squeal Noise Analysis in Mechanical Structure with Friction32,99 €![Mechanical Properties of Porous Solids]( "Mechanical Properties of Porous Solids")
Mechanical Properties of Porous Solids32,99 €![Thermo-Mechanical Model of Solidification Processes]( "Thermo-Mechanical Model of Solidification Processes")
Thermo-Mechanical Model of Solidification Processes44,99 €
An experimental sensitivity method for analyzing
forced vibration data is developed and applied in
this book. It is shown that if a set of measured
mechanical system input-output functions is
available in vibrating systems, an appropriate
analytical linear parameterization of these
functions leads to algebraic relationships between
the measured data. These functions are solely a
function of experimental frequency response function
data and determine the linear forced response
sensitivity to physical perturbations in the system
mechanical properties.
Applications in three key areas of mechanical
dynamic systems are examined to verify and further
study the requirements of the embedded sensitivity
function approach in experimental sensitivity
analysis. First, this technique is used to examine
the forward problem of identifying optimal design
modifications for reducing linear vibration
resonance problems. Second, it is applied to
characterize nonlinear mechanical systems and
identify nonlinear input-output models for those
systems. Third, it is applied to examine
the inverse problem of identifying structural
perturbations or damage.
forced vibration data is developed and applied in
this book. It is shown that if a set of measured
mechanical system input-output functions is
available in vibrating systems, an appropriate
analytical linear parameterization of these
functions leads to algebraic relationships between
the measured data. These functions are solely a
function of experimental frequency response function
data and determine the linear forced response
sensitivity to physical perturbations in the system
mechanical properties.
Applications in three key areas of mechanical
dynamic systems are examined to verify and further
study the requirements of the embedded sensitivity
function approach in experimental sensitivity
analysis. First, this technique is used to examine
the forward problem of identifying optimal design
modifications for reducing linear vibration
resonance problems. Second, it is applied to
characterize nonlinear mechanical systems and
identify nonlinear input-output models for those
systems. Third, it is applied to examine
the inverse problem of identifying structural
perturbations or damage.