MWM-Array Sensors for In Situ Monitoring of High-Temperature Components in Power Plants

Utilization of America's substantial coal reserves for energy production has become a national priority. Advanced coal-fired power plants offer an environmentally friendly means to achieve that goal. These power plants, such as ultrasupercritical power plants, will provide high thermal efficiency along with greatly reduced emissions of CO2 and other pollutants. Life cycle costs for the advanced coal-fired plants can be reduced by enhanced observability in support of condition-based maintenance. The enhanced observability can be achieved by using networks of condition-monitoring sensors that would provide component-level material condition information and through-wall temperature monitoring. This would reduce uncertainties in knowledge of material condition, at the level of individual components, and improve capability to predict remaining life of critical components. One approach being developed under the U.S. Department of Energy Small Business Innovation Research Program is to develop and implement high-temperature versions of the meandering winding magnetometer (HT-MWM) for temperatures up to 1000 degC. These patented sensors, coupled with multivariate inverse methods, would provide superior performance for in situ material condition monitoring (material degradation, flaw detection, stress relaxation, and/or creep monitoring) and through-wall temperature measurement. Networks of HT-MWMs will generate material condition information to be used by adaptive life-management algorithms for remaining life prediction and decision support.

[1]  N. J. Goldfine Magnetometers for improved materials characterization in aerospace applications , 1993 .

[2]  Neil Jay Goldfine Uncalibrated, absolute property estimation and measurement optimization for conducting and magnetic media using imposed [omega]-k magnetometry , 1990 .

[3]  Ian C. Shay,et al.  Remote temperature and stress monitoring using low-frequency inductive sensing , 2003, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

[4]  Vladimir,et al.  Magnetic Stress Gages for Torque and Load Monitoring in Rotorcraft , 2008 .

[5]  Ian C. Shay,et al.  Validation of Multi-Frequency Eddy Current MWM Sensors and MWM-Arrays for Coating Production Quality and Refurbishment Assessment , 2003 .

[6]  Darrell Eugene Schlicker Imaging of absolute electrical properties using electroquasistatic and magnetoquasistatic sensor arrays , 2005 .

[7]  John C. Moulder,et al.  Review of Advances in Quantitative Eddy Current Nondestructive Evaluation , 1999 .

[8]  Neil J. Goldfine,et al.  Early detection and monitoring of fatigue in high strength steels with MWM-Arrays , 2005 .

[9]  Praveen Medis,et al.  Micromachining using ultrasonic impact grinding , 2005 .

[10]  Darrell E. Schlicker,et al.  Rapid, Nonlinear System Identification for NDT, Using Sensor Response Databases , 2008 .

[11]  Paul,et al.  Damage and Usage Monitoring for Vertical Flight Vehicles , 2007 .

[12]  D. Grundy,et al.  Fatigue and Stress Monitoring with Magnetic Sensor Arrays , 2006 .