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SBIR/STTR

Data Reduction Techniques for Real-time Fault Detection and Diagnosis, and Multiple Fault Inference with Imperfect Tests, Phase II

Completed Technology Project

Project Introduction

Data Reduction Techniques for Real-time Fault Detection and Diagnosis, and Multiple Fault Inference with Imperfect Tests, Phase II
Limited downlink data rate constrains the amount of data that can be sent to earth from a spacecraft. Data from the onboard health monitoring sensors needs to be accommodated within a small fraction of this downlink bandwidth. The problem is more acute for interplanetary missions, where the downlink data rate is significantly lower than the low earth orbit missions. Such constraint prohibits transmission of the complete set of health monitoring data. This proposed Phase-II effort is geared towards providing enhanced remote diagnostics using limited telemetry bandwidth. Diagnostic accuracy of health management system depends more on the information content of the monitored data, than on its sheer volume. We propose accommodating more information within the allocated downlink bandwidth for health monitoring by performing intelligent data reduction. The onboard data reduction process employs sensor fusion, dimensionality reduction and temporal fusion techniques. More »

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This is a historic project that was completed before the creation of TechPort on October 1, 2012. Available data has been included. This record may contain less data than currently active projects.

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