Owing to the raised demands on process operation and product quality, the modern industrial process becomes more complicated when accompanied by the large number of process and quality variables produced. Therefore, quality-related fault detection and diagnosis are extremely necessary for complex industrial processes. Data-driven statistical process monitoring plays an important role in this topic for digging out the useful information from these highly correlated process and quality variables, because the quality variables are measured at a much lower frequency and usually have a significant time delay (Ding 2014; Aumi et al. 2013; Peng et al. 2015; Zhang et al. 2016; Yin et al. 2014). Monitoring the process variables related to the quality variables is significant for finding potential harm that may lead to system shutdown with possible enormous economic loss.


    Access

    Download


    Export, share and cite



    Title :

    Global Plus Local Projection to Latent Structures


    Additional title:

    Intelligent Control & Learning Systems


    Contributors:
    Wang, Jing (author) / Zhou, Jinglin (author) / Chen, Xiaolu (author)


    Publication date :

    2022-01-03


    Size :

    26 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English





    New Robust Projection to Latent Structure

    Wang, Jing / Zhou, Jinglin / Chen, Xiaolu | Springer Verlag | 2022

    Free access

    Locally Linear Embedding Orthogonal Projection to Latent Structure

    Wang, Jing / Zhou, Jinglin / Chen, Xiaolu | Springer Verlag | 2022

    Free access

    Fast Local and Global Projection-Based Methods for Affine Motion Estimation

    Robinson, D. / Milanfar, P. | British Library Online Contents | 2003


    A projection local image descriptor

    Sorokin, D. V. / Krylov, A. S. | British Library Online Contents | 2012


    Global-local buckling of space truss structures

    Riddick, Jarett / Shivakumar, Kunigal | AIAA | 1994