SHM Software Tools. Outline

Transcription

1 Structural Health Monitoring Using Statistical Pattern Recognition SHM Software Tools Presented by: Eric B. Flynn Material support: Dustin Y. Harvey Outline Software Objectives Engineering Institute Legacy Software Engineering Institute Current Software Algorithm Library: SHMTools User Interface: mfuse Software Demonstration

2 Goals in Making SHM Software Standardized Naming Documentation Function arguments Experimental data Usage examples Easy to Use Modular Extensive Documentation Example Usage Hardware Embeddable Efficient Converts to Compilable Code Research Orientated Freely available Open source Useful to the SHM community Serves as reference material Cites research literature Expandable Open Source Flexible Structure Level 0: Basic Node Software Targets Thinner WID3 Level 1: Advance Node Level 2: Remote PC Level 3: Data Center PC SAV SHiMmer SGV SHMTools Targets

3 Engineering Institute Historical Perspective Algorithms DIAMOND II Basic SHM Library SHMTools Advanced SHM Library DIAMOND I Modal Analysis HOPS Active Sensing Graphical Interfaces GLASS JAVA Based SHMFace MATLAB Based mfuse MATLAB/Java Engineering Institute Legacy Software

4 GLASS Interface Software (Legacy) Graphical Linking and Assembly of Syntax Structure Categories Function Sequencing Functions Input/Output Linking HOPS - Health Of Plate Structures (Legacy)

5 Geometry Module (Legacy) Dispersion Curves and PZT Transfer Functions (Legacy)

6 Electro-mechanical Impedance Analysis (Legacy) Wave Propagation SHM Analysis (Legacy)

7 Sensor Diagnostics (Legacy) Single Data Set Baseline and Test Comparison Engineering Institute Current Software

8 SHMTools Set of standardized MATLAB functions covering 3 main stages of SHM: Data Acquisition Data Acquisition Sensor Placement Regression Feature Extraction Modal Analysis Active Sensing Outlier Detection Feature Classification Standardized parameter types for seamless data handling Fully documented standards, functions, and examples Function subset uses MATLAB Embedded Subset Standard data sets to compare analyses SHMTools Data Acquisition Module (or data import) SHM Analysis Process Scores and Damage State Classifications Raw Data Feature Extraction Module Feature Vectors Feature Classification Module

9 SHMTools: Data Acquisition Module Supports basic functionality for various hardware MATLAB DAQ Toolbox-supported devices National Instruments high speed digitizers, function generators, and switches Allows for hardware-in-the-loop testing Returns raw data formatted for use in Feature Extraction Can be bypassed by importing saved data Data Acquisition SHMTools: Feature Extraction Module Receives raw data from Data Acquisition Module (or data import) Three function groups Active Sensing (ultrasonic waves) Modal Analysis Frequency response functions Modal properties Time Series Basic Statistics Active Sensing Regression Auto-Regressive (AR) model based methods Modal Analysis Returns feature vectors for use in Feature Classification Module

10 SHMTools: Feature Classification Module Receives feature vectors from Feature Extraction Module Based on outlier detection methods Divided into three detector types: Non-Parametric Kernel Density Estimators Non-Linear Principal Component Analysis Semi-Parametric Parametric Principal Component Analysis Outlier Detection Singular Value Decomposition Factor Analysis Mahalanobis Distance Returns scores and a threshold to divide features into classes (typically Damaged and Undamaged) SHMTools: Auxiliary Module Supports SHM process through various function groups Data Management Plotting Sensor Support Optimal Sensor Placement Piezoelectric Sensor Diagnostics Sensor Placement

11 SHMTools Usage Examples Title Contents Introduction Literature References SHMTools Functions Called Standardized Datasets for Benchmarking #19 Softw are: 22

12 mfuse: Matlab FUnction SEquencer Graphical assembly of any MATLAB functions into analytical process Provides extra information about SHMTools functions within interface Includes many methods to save and share processes and results Multiple platform support Project Architecture SHMTools Functions Results Hardware Script MATLAB Optimized Code Embedded Platform

13 Software Demonstration Imported data from bookshelf structure (included with SHMTools) 170 instances (4-channel measurements) with various damage levels Damage simulated by changing width of gap between bumpers on top 2 floors Embedded Hardware SHMTools Functions Embedded Platform Optimized Code MATLAB Embedded Subset Functions Functions MATLAB Script

14 Embedded Hardware: SHiMmer Standalone embedded system designed for active sensing SHM BlackFin DSP for data analysis and wireless networking Custom Linux-based OS with task scheduler 16 independent sensing/actuation channels Custom solar energy harvesting module Summary & Future Work Objective: Standardized, expandable, embeddable, research orientated set of software tools and SHM datasets Algorithms: SHMTools User Interface: mfuse Increase use of MATLAB Embedded Subset in functions Improve layout, graphics, and documentation for mfuse Expand hardware support for Data Acquisition module and embedding Incorporate object-orientated functionality to SHMTools and mfuse

15 Become famous!* Contribute to SHMTools We are always looking for new datasets and algorithms *Fame limited to SHM community #19 Softwar Engineering Institute software releases and data sets are posted at: SHMTools & mfuse past and present authors: Eric B. Flynn 3 Dustin Harvey 1 Stuart Taylor 3 Eloi Figueiredo 4 Samory Kpotufe 1 1 University of California, San Diego, Structural Engineering 2 University of California, San Diego, Computer Science & Engineering 3 Los Alamos National Lab, Engineering Institute 4 University of Porto, Faculty of Engineering, Portugal