A Framework for Model-Based Diagnostics and Prognostics of Switched-Mode Power Supplies
Abstract
With electrical power supplies playing an important role in the operation of aircraft systems and sub-systems, flight and ground crews need health state awareness and prediction tools that accurately diagnose faults, predict failures, and project remaining life of these onboard power supplies. Among onboard power supplies, switch-mode power supplies are commonly used where their weight, size, and efficiency make them preferable to conventional transformer-based power supplies. In this paper, we present a framework of diagnostics and prognostics methodology based on an equivalent circuit system simulation model developed from a commercially available switch-mode power supply, and empirical component degradation models. In industrial applications, case-specified modifications can be made according to specific experimental or service conditions of different commercial products. First, the developed simulation model is validated through experimental testing. Then, a series of data are collected from simulation to build the baseline and fault databases under a fixed load profile. Next, promising features are extracted from sensed parameters, and further data analysis are conducted to estimate the current health condition and to predict the remaining useful life of the target system.
Document Details
- Document Type
- Technical Report
- Publication Date
- Oct 02, 2014
- Accession Number
- AD1002838
Entities
People
- Cen Chen
- George Vachtsevanos
- Honglei Li
- Xuerong Ye
Organizations
- Georgia Tech