Monitoring of solid oxide fuel cell systems

TY - JOUR

T1 - Monitoring of solid oxide fuel cell systems

AU - Murshed, Akm M.

AU - Huang, B.

AU - Nandakumar, K.

PY - 2011/3

Y1 - 2011/3

N2 - Fault detection and isolation of critical equipments as well as process operation is an important part of automation. Failure to detect fault can contribute to process safety incident, violation of environmental regulation and, as a result, reduce profit from the unit affected by the fault. Even though there has been a lot of work done on the modeling and control of the solid oxide fuel cell, little attention has been paid to its monitoring methodology. The need of reliable SOFC operations and current effort toward commercialization call for advanced monitoring technology, which constitutes one of the most important directions for SOFC research and development. In this article, as an attempt toward monitoring of SOFC systems a hybrid monitoring approach is developed which formulates the fault detection problem as a linear matrix inequality (LMI). The formulation is then illustrated through its application to the solid oxide fuel cell and its system to handle constraints and detect faults early.

AB - Fault detection and isolation of critical equipments as well as process operation is an important part of automation. Failure to detect fault can contribute to process safety incident, violation of environmental regulation and, as a result, reduce profit from the unit affected by the fault. Even though there has been a lot of work done on the modeling and control of the solid oxide fuel cell, little attention has been paid to its monitoring methodology. The need of reliable SOFC operations and current effort toward commercialization call for advanced monitoring technology, which constitutes one of the most important directions for SOFC research and development. In this article, as an attempt toward monitoring of SOFC systems a hybrid monitoring approach is developed which formulates the fault detection problem as a linear matrix inequality (LMI). The formulation is then illustrated through its application to the solid oxide fuel cell and its system to handle constraints and detect faults early.

KW - SOFC Monitoring

KW - fault detection

KW - solid oxide fuel cell

UR - http://www.scopus.com/inward/record.url?scp=79953693886&partnerID=8YFLogxK

U2 - 10.1002/apj.554

DO - 10.1002/apj.554

M3 - 文章

AN - SCOPUS:79953693886

SN - 1932-2135

VL - 6

SP - 204

EP - 219

JO - Asia-Pacific Journal of Chemical Engineering

JF - Asia-Pacific Journal of Chemical Engineering

IS - 2

ER -