Proceedings ArticleDOI
SHMTools: a new embeddable software package for SHM applications
Eric B. Flynn,Samory Kpotufe,Dustin Harvey,Eloi Figueiredo,Stuart G. Taylor,Stuart G. Taylor,Denis Dondi,Todor Mollov,Michael D. Todd,Tajana Rosing,Gyuhae Park,Charles R. Farrar +11 more
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A new software package, SHMTools, for prototyping algorithms for various structural health monitoring (SHM) applications, which includes a set of standardized MATLAB routines covering three main stages of SHM: data acquisition, feature extraction, and feature classification for damage identification.Abstract:
This paper describes a new software package, SHMTools, for prototyping algorithms for various structural health
monitoring (SHM) applications. The software includes a set of standardized MATLAB routines covering three
main stages of SHM: data acquisition, feature extraction, and feature classification for damage identification. A
subset of the software in SHMTools is embeddable, which consists of Matlab functions that can be cross-compiled
into generic "C" programs to be run on a target hardware. The software is designed to accommodate multiple
sensing modalities, including piezoelectric active-sensing, which have become widely used in SHM practice. The
software package, standardized datasets, and detailed documentation are publicly available for use by the SHM
community. The details of this software will be discussed, along with several example processes to demonstrate
its utility.read more
Citations
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Journal ArticleDOI
Observer Kalman Filter Identification for Output-Only Systems Using Interactive Structural Modal Identification Toolsuite
Minwoo Chang,Shamim N. Pakzad +1 more
TL;DR: In this article, an expansion of the eigenvalue realization algorithm (ERA) to identify modal parameters of output-only systems (OO) by splitting the state-space model into deterministic and stochastic subsystems (ERA-OKID-OO).
Book ChapterDOI
Are Today’s SHM Procedures Suitable for Tomorrow’s BIGDATA?
TL;DR: This paper will focus on the processing of large SHM datasets and the computational sensitivity of common SHM procedures, particularly the computationalensitivity of common system identification and damage detection algorithms with respect to a large amount of sensors and samples.
Book ChapterDOI
Characterization and Prognosis of Multirotor Failures
TL;DR: A comprehensive sensor network was successfully designed and implemented on an MR vehicle, and a compatible set of tools was developed for signal processing, and the resulting SHM system is capable of classifying propeller, motor, and structural hardware failures.
ReportDOI
A multi-scale approach to statistical and model-based structural health monitoring with application to embedded sensing for wind energy
TL;DR: In this article, the authors present a system-level approach to multi-scale structural health monitoring (SHM) with specific focus on wind turbine rotor blades, combining innovative sensing platforms for incipient damage detection with state estimation for structural performance assessment.
References
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Book
Object-Oriented Software Construction
TL;DR: Object-Oriented Software Construction, second edition is the comprehensive reference on all aspects of object technology, from design principles to Object- Oriented techniques, Design by Contract, Object-O Oriented analysis, concurrency, persistence, abstract data types and many more.
Journal ArticleDOI
A Survey of Outlier Detection Methodologies
Victoria J. Hodge,Jim Austin +1 more
TL;DR: A survey of contemporary techniques for outlier detection is introduced and their respective motivations are identified and distinguish their advantages and disadvantages in a comparative review.
Journal ArticleDOI
Energy scavenging for mobile and wireless electronics
Joseph A. Paradiso,Thad Starner +1 more
TL;DR: A whirlwind survey of energy harvesting can be found in this article, where the authors present a survey of recent advances in energy harvesting, spanning historic and current developments in sensor networks and mobile devices.