Data based modeling for PEM fuel cell monitoring - a test bench application, Part II

Andrea Schrems; Ewald Wahlmüller; Kurt Pichler

Data based modeling for PEM fuel cell monitoring - a test bench application, Part II

Andrea Schrems
, Ewald Wahlmüller
, Kurt Pichler

Institute for Machine Intelligence

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

Abstract

In part II of this paper two important methods for the monitoring procedure of the fuel cell (part I) are presented. First, a time delay estimation method, which allows a better data based modeling of the underlying fuel cell system. Second, the sequential probability ratio test (SPRT) which improves the fault detection results concerning over-detection and reliability. For the time delay estimation method using mutual information a minimum search algorithm is discussed, because the easy approach of a global minimum does not always guarantee a real time delay. The challenge for the SPR test is the design of a probability density function without having prior knowledge about the process.

Original language	English
Title of host publication	17th IEEE International Conference on Control Applications (CCA)
Number of pages	6
Publication status	Published - 2008

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Fields of science

202 Electrical Engineering, Electronics, Information Engineering
202027 Mechatronics
202034 Control engineering
203027 Internal combustion engines
206001 Biomedical engineering
206002 Electro-medical engineering
207109 Pollutant emission

Cite this

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title = "Data based modeling for PEM fuel cell monitoring - a test bench application, Part II",

abstract = "In part II of this paper two important methods for the monitoring procedure of the fuel cell (part I) are presented. First, a time delay estimation method, which allows a better data based modeling of the underlying fuel cell system. Second, the sequential probability ratio test (SPRT) which improves the fault detection results concerning over-detection and reliability. For the time delay estimation method using mutual information a minimum search algorithm is discussed, because the easy approach of a global minimum does not always guarantee a real time delay. The challenge for the SPR test is the design of a probability density function without having prior knowledge about the process.",

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year = "2008",

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AU - Wahlmüller, Ewald

AU - Pichler, Kurt

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Y1 - 2008

N2 - In part II of this paper two important methods for the monitoring procedure of the fuel cell (part I) are presented. First, a time delay estimation method, which allows a better data based modeling of the underlying fuel cell system. Second, the sequential probability ratio test (SPRT) which improves the fault detection results concerning over-detection and reliability. For the time delay estimation method using mutual information a minimum search algorithm is discussed, because the easy approach of a global minimum does not always guarantee a real time delay. The challenge for the SPR test is the design of a probability density function without having prior knowledge about the process.

AB - In part II of this paper two important methods for the monitoring procedure of the fuel cell (part I) are presented. First, a time delay estimation method, which allows a better data based modeling of the underlying fuel cell system. Second, the sequential probability ratio test (SPRT) which improves the fault detection results concerning over-detection and reliability. For the time delay estimation method using mutual information a minimum search algorithm is discussed, because the easy approach of a global minimum does not always guarantee a real time delay. The challenge for the SPR test is the design of a probability density function without having prior knowledge about the process.

M3 - Conference proceedings

BT - 17th IEEE International Conference on Control Applications (CCA)

ER -