Chi Zhang

University of Science and Technology Beijing | USTB

Quality‐related process monitoring has become a research hot‐spot in the field of industrial control because it is essential to ensure the process safety and product quality. A great number of data driven quality‐related process monitoring methods have been developed for large‐scale manufacturing processes, and most of them are developed based on h...

This paper proposes a novel transferable manifold projection embedded dictionary learning (TMPDL) based scheme with domain transfer for multimode process (MP) monitoring, where the new modes in evolving scenarios can be rapidly modeled. Considering that only new measurements are necessary for updating the model parameters, the proposed method eleva...

Modern industrial plants generally demonstrate the characteristics of large scale, long process, and multiunit collaborative operation, which makes the spatio-temporal distribution an inherent nature, and the quality stability is usually hard to be guaranteed. A quality-related spatio-temporal information analytics based multiunit synergetic monito...

Plant-wide process monitoring and fault diagnosis are key technologies to ensure the high-efficiency and safety of the production. This paper pays close attention to the new characteristics in modern large-scale sequential industries, including long process, multiunit cooperation and strong coupling among sub-blocks. A two-layer distributed fault d...

The industrial process monitoring and operating performance assessment techniques are of great significance to ensure the safety and efficiency of the production and to improve the comprehensive economic benefits for the modern enterprises. In this paper, a new key performance indicator (KPI) oriented nonlinear process monitoring and operating perf...

Quality-related fault detection is an effective way to ensure the stability of product quality and the safety of industrial processes. Quality abnormality is often caused by incipient faults, which propagate through the connectivity path among the equipment and subsystems, and eventually become significant faults that affect product quality and pro...

Dynamic features always demonstrate the coexistences of local fast-variabilities and the overall slow-trend. Single model based methods cannot achieve a satisfactory monitoring result in industrial processes with composite dynamicities. A comprehensive dynamic process monitoring method based on concurrent fast and slow-time-varying feature analytic...

With the expansion of modern plants and the growth of process complexities, industrial processes generally have multimodes, which are reflected in the multiple distributions and complex correlations among the process data. On the basis of single mode process monitoring methods, research on multimode process monitoring have attracted much attention....

With the rapid development of manufacturing industries and the complexity increment of processes, a large number of streaming data with high-dimensionality and nonlinearity are obtained in actual industrial processes. As a result, it is essential for process monitoring to make dimension reduction. In this paper, a novel process monitoring method co...