Profile monitoring is an important tool for quality control. Most existing profile monitoring
approaches focus on monitoring a single profile. In practice, multiple profiles also widely …

Nowadays advanced sensing technology enables high-resolution in-process data collection
in various systems, known as profile data. These data facilitate in-process monitoring and …

Predicting condition monitoring signals has become a critical task for health status
assessment and monitoring of industrial systems. It is crucial to incorporate correlated …

The revolution of Industry 4.0 and Internet of Things facilitate large and cheap data
acquisition from complex systems. However, the online processing and analytics of such …

This paper comprises a description of a data-driven approach to the real-time monitoring of
a physical system. Specifically, a hierarchical anomaly detection algorithm that can identify …

There is extensive research in the monitoring of a process whose characteristics are
represented as profiles. However, most current techniques require all observations from …

In profile monitoring for a multivariate manufacturing process, the functional relationship of
the multivariate profiles rarely occurs in linear form, and the real data usually do not follow a …

In this paper, Phase II monitoring of multivariate simple linear profiles is considered when
the independency assumption of observations within each profile is violated. Then, two …

Discover data analytics methodologies for the diagnosis and prognosis of industrial systems
under a unified random effects model In Industrial Data Analytics for Diagnosis and …

T2 control chart, a prevalent statistical process control technique, has extensively employed
in the realm of bearing early failure monitoring within the setting of prognostics and health …