Diagnosis of an Alternator System Using Quantized Approaches

Sara Mohon and Pierluigi Pisu
Publication Target: 
IJPHM
Publication Issue: 
2
Submission Type: 
Full Paper
AttachmentSizeTimestamp
ijphm_15_027.pdf1.18 MBAugust 23, 2015 - 7:44pm

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 Mohon and Pisu (2013). The two methods are compared in an application example of a vehicle alternator. The alternator may experience three faults including belt slippage, a faulty diode connection, 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 slower but yields better isolation results than the GCM method.

Publication Year: 
2015
Publication Volume: 
6
Publication Control Number: 
027
Page Count: 
16
Submission Keywords: 
Diagnosis and fault isolation methods
Submission Topic Areas: 
Model-based methods for fault detection, diagnostics, and prognosis
Modeling and simulation
Submitted by: 
  
 
 
 

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