Improved signal processing technique leads to more robust Self Diagnostic Accelerometer System
Author(s) -
Roger Tokars,
John Lekki,
Dave Jaros,
Terrence Riggs,
Kenneth Evans
Publication year - 2010
Publication title -
50th aiaa aerospace sciences meeting including the new horizons forum and aerospace exposition
Language(s) - English
Resource type - Conference proceedings
DOI - 10.2514/6.2010-1352
Subject(s) - accelerometer , signal processing , computer science , signal (programming language) , digital signal processing , electronic engineering , engineering , computer hardware , programming language , operating system
The self diagnostic accelerometer (SDA) is a sensor system designed to actively monitor the health of an accelerometer. In this case an accelerometer is considered healthy if it can be determined that it is operating correctly and its measurements may be relied upon. The SDA system accomplishes this by actively monitoring the accelerometer for a variety of failure conditions including accelerometer structural damage, an electrical open circuit, and most importantly accelerometer detachment. In recent testing of the SDA system in emulated engine operating conditions it has been found that a more robust signal processing technique was necessary. An improved accelerometer diagnostic technique and test results of the SDA system utilizing this technique are presented here. Furthermore, the real time, autonomous capability of the SDA system to concurrently compensate for effects from real operating conditions such as temperature changes and mechanical noise, while monitoring the condition of the accelerometer health and attachment, will be demonstrated.
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