Design Optimization of Structural Health Monitoring Systems
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sensor networks drive decisions. Approach: Design networks to minimize the expected total cost (in a statistical sense, i.e. Bayes Risk) associated with making wrong decisions and with installing maintaining and running the sensor network itself. Search for optimal solutions using Monte-Carlo-Sampling-Adapted Genetic Algorithm. Applications include structural health monitoring and surveillance.
- Research Organization:
- Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- AC52-06NA25396
- OSTI ID:
- 1122908
- Report Number(s):
- LA-UR-14-21482
- Country of Publication:
- United States
- Language:
- English
Similar Records
Simulation and Optimization of Large Scale Subsurface Environmental Impacts; Investigations, Remedial Design and Long Term Monitoring
Application of Structured Decision Making to Hanford Site Radiological Air Monitoring - 17924
Real-Time Canister Welding Health Monitoring and Prediction System for Spent Fuel Dry Storage
Conference
·
Tue Jul 01 00:00:00 EDT 2008
·
OSTI ID:1122908
Application of Structured Decision Making to Hanford Site Radiological Air Monitoring - 17924
Conference
·
Sat Jul 01 00:00:00 EDT 2017
·
OSTI ID:1122908
+1 more
Real-Time Canister Welding Health Monitoring and Prediction System for Spent Fuel Dry Storage
Technical Report
·
Tue Jun 30 00:00:00 EDT 2020
·
OSTI ID:1122908
+4 more