Research Projects
- Anomaly Detection with Nonparametric Sequential Probability Ratio Tests (SPRT)
Objective: Anomaly Detection with Nonparametric Sequential Probability Ratio Tests.
- Anomaly Detetction through Probabilistic Support Vector Machine Classification (PSVC)
Objective: This study is investigating the use of support vector machines (SVMs) to detect anomalies and isolate faults and failures in electronic systems.
- Fault Detection and Isolation Using Principal Component Analaysis and a Least Squares Optimization Approach
Objective: Developing an approach for anomaly detection and fault isolation in multivariate. The algorithm is then applied to computer data to analyze detection results and accuracy.
- Assess return-on-investment opportunities of prognostics
Objective: Develop a new stochastic decision model that determines when scheduled maintenance makes good business sense.
- Impedance Analysis as a Prognostics Technique for Detection of Interconnect Degradation
Objective: Quantify differences in time-to-failure between change in RF impedance and increase in DC resistance during creep and fatigue tests.
- Identifying Precursors to Failure for Insulated Gate Bipolar Transistors (IGBTs)
Objective: To identify precursors to failure for IGBTs using physics of failure methods and models.
- Grey Prediction Method used in Failure Prognostics for Electronics
Objective: This study is to demonstrate the possibility of using grey prediction model in the failure prognostics for electronics.
- Uncertainty Assessment of Prognostics for Electronics under Vibration Loading
Objective: To develop the general uncertainty analysis approach for failure prognostics of electronics.
- Sensor Selection for PHM
Objective: To tell how to select an optimal sensor system for PHM application.
- Remaining Useful Life Prediction of Multilayer Ceramic Capacitor Using Multivariate State Estimation Technique
Objective: To provide a method to predict the failure of Multilayer Ceramic Capacitor (MLCC) and develop an remaining useful life (RUL) prediction model using multivariate state estimation technique (MSET).
- Development of Diagnostics and Prognostics Methodology for Electronic System Health Monitoring
Objective: To develop a methodology for baseline characterization of electronic systems.
- Integrated Health and Usage Monitoring System
Objective: To develop a method for in-situ health assessment of electronic boards subjected to vibration and shock loads.
- Vehicle Component Prognostics in a Vibration/Shock Environment
Objective: Demonstrate predictive capabilities for the remaining life of vehicle components through the use of onboard data collection and processing.
- Iddq Trending as Precursor to CMOS IC Failure
Objective: Demonstrate a low current sensor to monitor the in-circuit trend in Iddq of a CMOS IC.
- Decision Support for PHM: Meeting Prognostic Requirements
Objective: The objective of this project is to continue and complete the multiple LRU decision analysis
- Integrated Health and Usage Monitoring System (Temperature)
Objective: To study the Health and Usage Monitoring System (HUMS) test board for a real temperature profiles collected by monitoring in actual use environment or programmable chamber that can successively produce different temperature cycles.
- Quantitative Assessment of Uncertainties in Health Monitoring of Electronics
Objective: Assess the impact of identified uncertainties in sensing, recording, and physics of failure modeling on the remaining life predictions.
- Integrated Health and Usage Monitoring System (Theory)
Objective: To integrate a cycle counting algorithm and the capability to evaluate the remaining life of a monitored electronic board in an embedded software.