Work

CUSUM charts utilizing reparametrized Birnbaum-saunders model for fault detection and process control

Year: 2024

Type: article

Abstract: Statistical process control is always intrigued by the design of effective control charts for monitoring production processes and determining assignable causes of variations. It can be challenging to keep track of a positive asymmetric response variable while considering the impact of the input variables. The current work incorporates the Reparametrized Birnbaum Saunders (RBS) model to develop more effective cumulative sum (CUSUM) control charts for analyzing the mean of such a process. We perform a simulation study to evaluate the effectiveness of existing and derived approaches in terms of run length characteristics. The findings showed that when the underlying process distribution is positively asymmetric, the proposed charts provide stronger protection against process alterations as compared to existing methods. Moreover, the suggested control charts are implemented using actual data from a combined cycle power plant.

Source: Measurement and Control

DOI: 10.1177/00202940241282533

Authors: Anam Iqbal, Tahir Mahmood

Institutions: UNSW Sydney, Australian Defence Force Academy, UNSW Canberra, University of the West of Scotland

Language: English

Topic: Advanced Statistical Process Monitoring

Subfield: Statistics, Probability and Uncertainty

Field: Decision Sciences

Domain: Social Sciences

Open Access status: gold

Estimated APC paid: $2,000

Funder: University of the West of Scotland