To optimize the reliability of solid oxide fuel cells (SOFCs), an analysis method based on automatic spectral clustering and neighborhood rough sets is proposed in this article. This is the first application of multistate reliability theory to SOFC systems. First, a state partitioning method based on automatic spectral clustering is proposed to partition the operational data into different classes. Then, the feature extraction method based on the neighborhood rough set is used to find the most sensitive variables to system state changes. Finally, the accuracy of state segmentation and feature extraction is verified by training state classifiers. In addition, the generality of the method is verified by migrating it to another pure hydrogen-fueled SOFC system. The results show that the state segmentation method successfully partitions the electrical characteristics into ten states. Even the data in the early stage of failure can be well segmented. Moreover, the feature extraction method extracts six variables that are most sensitive to state changes, which reduces the number of variables by 85.7%. The state classifier can achieve over 94% correct state recognition rate within 30 s. Meanwhile, the method has good generality and transferability.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Multistate Reliability Analysis of Solid Oxide Fuel Cells Using Automatic Spectral Clustering and Neighborhood Rough Sets


    Contributors:
    Peng, Jingxuan (author) / Huang, Jian (author) / Li, Yuanzheng (author) / Jiang, Chang (author) / Xu, Yuan-Wu (author) / Wu, Xiao-Long (author) / Li, Xi (author)


    Publication date :

    2024-03-01


    Size :

    5373282 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Multistate Model for Travel Time Reliability

    Guo, Feng | Online Contents | 2010


    Multistate Model for Travel Time Reliability

    Guo, Feng / Rakha, Hesham / Park, Sangjun | Transportation Research Record | 2010


    Solid oxide fuel cell lifetime and reliability : critical challenges in fuel cells

    Ruiz-Trejo, Enrique ;Brandon, Nigel P. ;Boldrin, Paul | TIBKAT | 2017