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

Sara Mohon and Pierluigi Pisu
Submission Type: 
Full Paper
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phmce_14_016.pdf1.15 MBJune 10, 2014 - 11:03am

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.

Publication Year: 
2014
Publication Volume: 
5
Publication Control Number: 
016
Page Count: 
11
Submission Keywords: 
generalized cell mapping
cell-to-cell mapping
Monte Carlo
Diagnosis and fault isolation methods
Submission Topic Areas: 
Model-based methods for fault detection, diagnostics, and prognosis
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