A Comparison of Methods for Linear Cell-to-Cell Mapping and Application Example for Fault Detection and Isolation

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Sara Mohon Pierluigi Pisu

Abstract

In this paper, the Generalized Cell Mapping (GCM) method for a linear system is compared with a new stochastic method for novel cell-to-cell mapping. The authors presented the new stochastic method in a previous paper last year. The two methods are compared in an application example of a vehicle alternator. The alternator may experience three faults including belt slippage, a broken
diode, or incorrect controller reference voltage. Fault detection and isolation (FDI) is performed using the two cell-to-cell mapping methods. The results show that the new stochastic method is more computationally intensive but yields better isolation results than the GCM method

How to Cite

Mohon, S., & Pisu, P. (2014). A Comparison of Methods for Linear Cell-to-Cell Mapping and Application Example for Fault Detection and Isolation. PHM Society European Conference, 2(1). https://doi.org/10.36001/phme.2014.v2i1.1484
Abstract 7 | PDF Downloads 16

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Keywords

Monte Carlo, Diagnosis and fault isolation methods, generalized cell mapping, cell-to-cell mapping

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Technical Papers