Classifier Fusion in the Accelerometer Sensor Diagnostics

Piotr Bilski
Abstract:
The paper presents the application of multiple classifiers to increase the accuracy of the fault detection module. The structure of the module is presented with the applied voting mechanisms. The classifiers implemented to the fault detection operation are briefly described. Issues of the practical implementation are considered. The scheme is used in the diagnostics of the analog part of the MEMS accelerometer. The paper is concluded with the possible prospects for the proposed scheme.
Keywords:
analog systems, accelerometer sensor, fault classification, classifier fusion
Download:
IMEKO-TC10-2014-037.pdf
DOI:
-
Event details
IMEKO TC:
TC10
Event name:
TC10 Workshop on Technical Diagnostics 2014
Title:

13th IMEKO TC10 Workshop "Advanced measurement tools in technical diagnostics for systems' reliability and safety"

Place:
Warsaw, POLAND
Time:
26 June 2014 - 27 June 2014