Clustering-based Monitoring and Fault detection in Hot Strip Roughing Mill

Actuator fault detection, isolation method and state estimator design for hot rolling mill monitoring

ahp algorithm and un-supervised clustering in auto insurance fraud detection

this thesis is a study on insurance fraud in iran automobile insurance industry and explores the usage of expert linkage between un-supervised clustering and analytical hierarchy process(ahp), and renders the findings from applying these algorithms for automobile insurance claim fraud detection. the expert linkage determination objective function plan provides us with a way to determine whi...

A robust wavelet based profile monitoring and change point detection using S-estimator and clustering

Some quality characteristics are well defined when treated as response variables and are related to some independent variables. This relationship is called a profile. Parametric models, such as linear models, may be used to model profiles. However, in practical applications due to the complexity of many processes it is not usually possible to model a process using parametric models.In these cas...

Integration of Continuous Caster and Hot Strip Mill Planning for Steel Production 9/11/99 Integration of Continuous Caster and Hot Strip Mill Planning for Steel Production

In this paper we present a model and a solution approach for integration of steel continuous casters and hot strip mills to provide more responsive steel production at lower unit cost. We describe the production environment and survey existing methods for planning continuous casters and hot strip mills. Since these processes lie at the solid/liquid interface we use “virtual” slabs, correspondin...

On-line adaptive clustering for process monitoring and fault detection

An adaptive clustering procedure specifically designed for process monitoring, fault detection and isolation is presented in this paper. The key feature of the proposed procedure can be identified as its underlying capability to detect novelties in the system’s mode of operation and, thus, to identify previously unseen functioning modes of the process. Once a novelty is detected, relevant infor...