[go: up one dir, main page]

Kullaa, 2010 - Google Patents

Vibration-based structural health monitoring under variable environmental or operational conditions

Kullaa, 2010

Document ID
15038594727532000855
Author
Kullaa J
Publication year
Publication venue
New trends in vibration based structural health monitoring

External Links

Snippet

The main postulate in vibration-based structural health monitoring (SHM) is that structural damage can be detected from changes in the damage-sensitive features extracted from vibration measurements. In order to detect damage with a high sensitivity and reliability …
Continue reading at link.springer.com (other versions)

Classifications

    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00Testing or monitoring of control systems or parts thereof
    • G05B23/02Electric testing or monitoring
    • G05B23/0205Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0218Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
    • G05B23/0224Process history based detection method, e.g. whereby history implies the availability of large amounts of data
    • G05B23/024Quantitative history assessment, e.g. mathematical relationships between available data; Functions therefor; Principal component analysis [PCA]; Partial least square [PLS]; Statistical classifiers, e.g. Bayesian networks, linear regression or correlation analysis; Neural networks
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00Testing or monitoring of control systems or parts thereof
    • G05B23/02Electric testing or monitoring
    • G05B23/0205Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0218Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
    • G05B23/0243Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults model based detection method, e.g. first-principles knowledge model
    • G05B23/0254Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults model based detection method, e.g. first-principles knowledge model based on a quantitative model, e.g. mathematical relationships between inputs and outputs; functions: observer, Kalman filter, residual calculation, Neural Networks
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00Testing or monitoring of control systems or parts thereof
    • G05B23/02Electric testing or monitoring
    • G05B23/0205Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0259Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the response to fault detection
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01MTESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING STRUCTURES OR APPARATUS NOT OTHERWISE PROVIDED FOR
    • G01M13/00Testing of machine parts
    • G01M13/02Testing of gearing or of transmission mechanisms
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01MTESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING STRUCTURES OR APPARATUS NOT OTHERWISE PROVIDED FOR
    • G01M7/00Vibration-testing of structures; Shock-testing of structures
    • G01M7/08Shock-testing
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01MTESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING STRUCTURES OR APPARATUS NOT OTHERWISE PROVIDED FOR
    • G01M99/00Subject matter not provided for in other groups of this subclass
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01MTESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING STRUCTURES OR APPARATUS NOT OTHERWISE PROVIDED FOR
    • G01M5/00Investigating the elasticity of structures, e.g. deflection of bridges, air-craft wings
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS
    • G01V1/00Seismology; Seismic or acoustic prospecting or detecting

Similar Documents

Publication Publication Date Title
Smarsly et al. Machine learning techniques for structural health monitoring
Cross et al. Features for damage detection with insensitivity to environmental and operational variations
Yan et al. Null subspace-based damage detection of structures using vibration measurements
Yan et al. Structural damage diagnosis under varying environmental conditions—Part I: A linear analysis
Kullaa Distinguishing between sensor fault, structural damage, and environmental or operational effects in structural health monitoring
Li et al. Sensor fault detection with generalized likelihood ratio and correlation coefficient for bridge SHM
Sohn et al. Structural health monitoring using statistical pattern recognition techniques
Roemer et al. Advanced diagnostics and prognostics for gas turbine engine risk assessment
Sohn et al. Applying the LANL statistical pattern recognition paradigm for structural health monitoring to data from a surface-effect fast patrol boat
Dragos et al. Distributed adaptive diagnosis of sensor faults using structural response data
Kullaa Vibration-based structural health monitoring under variable environmental or operational conditions
US20170331844A1 (en) Systems and methods for assessing airframe health
US8650137B2 (en) Method and apparatus for creating state estimation models in machine condition monitoring
Basseville On fault detectability and isolability
JP2004523735A (en) Inference signal generator for instrumented equipment and processes
CN103154693A (en) System for monitoring an engine test bed
KR100758152B1 (en) Fault Diagnosis Using Behavior Response by Vibration Signal Quantization
Abdelghani et al. Sensor validation for structural systems with additive sensor faults
Chelidze Multimode damage tracking and failure prognosis in electromechanical systems
Scordamaglia et al. A data-driven algorithm for detecting anomalies in underwater sensor-based wave height measurements
CN119126692A (en) A method and system for monitoring the status of field equipment in a control system
Ojeda MATLAB implementation of an operational modal analysis technique for vibration-based structural health monitoring
Starkey et al. Using a lumped parameter dynamic model of a rock bolt to produce training data for a neural network for diagnosis of real data
Feizi et al. Identifying damage location under statistical pattern recognition by new feature extraction and feature analysis methods
Dia et al. Comparison of modal parametric and nonparametric vibration-based techniques