A Design of Finite Memory Residual Generation Filter for Sensor Fault Detection

In the current paper, a residual generation filter with finite memory structure is proposed for sensor fault detection. The proposed finite memory residual generation filter provides the residual by real-time filtering of fault vector using only the most recent finite measurements and inputs on the...

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Bibliographic Details
Published in:Measurement science review 2017-04, Vol.17 (2), p.76-82
Main Author: Kim, Pyung Soo
Format: Article
Language:English
Subjects:
Bias
D C motors
Fault detection
Fault diagnosis
Faults
Filtration
Finite memory structure
Kalman filter
Noise levels
Residual generation filter
Sensors
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Summary:In the current paper, a residual generation filter with finite memory structure is proposed for sensor fault detection. The proposed finite memory residual generation filter provides the residual by real-time filtering of fault vector using only the most recent finite measurements and inputs on the window. It is shown that the residual given by the proposed residual generation filter provides the exact fault for noisefree systems. The proposed residual generation filter is specified to the digital filter structure for the amenability to hardware implementation. Finally, to illustrate the capability of the proposed residual generation filter, extensive simulations are performed for the discretized DC motor system with two types of sensor faults, incipient soft bias-type fault and abrupt bias-type fault. In particular, according to diverse noise levels and windows lengths, meaningful simulation results are given for the abrupt bias-type fault.
ISSN:1335-8871
1335-8871
DOI:10.1515/msr-2017-0010