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

Author:

Kim Pyung Soo1

Affiliation:

1. Department of Electronic Engineering, Korea Polytechnic University, Siheung-si, Gyeonggi-do, 15073, Korea (Republic of)

Abstract

Abstract 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.

Publisher

Walter de Gruyter GmbH

Subject

Instrumentation,Biomedical Engineering,Control and Systems Engineering

Reference18 articles.

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2. [2] Angeli, C., Chatzinikolaou, A. (2004). On-line fault detection techniques for technical systems: A survey. International Journal of Computer Science & Applications, 1 (1), 12-30.

3. [3] Hwang, I., Kim, S., Kim, Y., Seah, C. (2010). A survey of fault detection, isolation, and reconfiguration methods. IEEE Transactions on Control Systems Technology, 18 (3), 636-653.

4. [4] Kobayashi, T., Simon, D.L. (2005). Enhanced bank of Kalman filters developed and demonstrated for inflight aircraft engine sensor fault diagnostics. Research and Technology, NASA Glenn Research Center at Lewis Field 2005-213419, 25-26.

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