Overview and prospect of abnormal monitoring methods for non-stationary processes
The actual industrial processes are often affected by various factors,such as changes in raw materials,fluctuations in workload,and aging equipment.These processes show non-stationary characteristics,meaning that the statistical properties of the data used to monitor them change over time.This has led to a significant focus on monitoring non-stationary processes in the field of process monitoring.This paper presents a systematic review of research achievements in non-stationary process anomaly monitoring,focusing on the different monitoring methods.It first explains the concept of non-stationary processes and the technical challenges associated with them.Then,it categorizes non-stationary process monitoring methods into five major types based on their principles.The paper then summarizes the advantages and limitations of each type of method.Finally,it conducts an in-depth analysis of the current state of technological development and provides an outlook on the challenges in non-stationary process monitoring.
NETL
NSTL
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