A stage-wise non-Gaussian statistical process control strategy. (17th March 2023)

• Record Type: Journal Article
• Authors: Mishra, Bhagwan Kumar; Das, Anupam
• Is Part Of: Engineering research express. Volume 5:Number 1(2023)
• Publication Date: 2023-03-17
• Subjects: multi-block independent component analysis -- copper cathode manufacturing unit -- multi-block independent component analysis -- copper cathode manufacturing unit -- i2I-Square control chart -- fault diagnostic statistic -- incipient fault; Engineering -- Periodicals; 620.005
• DOI: 10.1088/2631-8695/acbd14
• Languages: English
• ISSNs: 2631-8695

Abstract

Abstract: The article delves into the development of a Non-Gaussian Process Monitoring Strategy for a Copper Cathode Manufacturing Unit (CCMU). The monitoring strategy being devised highlighted the issue of multi-stage process monitoring via the usage of Multi-block Independent Component Analysis (MBICA) techniques. MBICA is the multi-block variant of ICA technique which is prevalently used for process laden with non-Gaussian or non-normal data. Development of the monitoring strategy involved detection of fault(s) and their subsequent diagnosis. Detection of fault(s) was carried out by employment of I 2 control chart whose control limit was established via Bootstrap procedure. The diagnosis of the detected fault was carried out by employment of fault diagnostic statistic. An amalgamation of MBICA and Multivariate Exponentially Weighted Moving Average (MEWMA) are also known as MBICA-MEWMA approach was also proposed for detection of incipient fault(s). The monitoring strategy thus developed was showcased for a CCMU which specialised in the manufacture of copper cathode which has got varied practical applications. The monitoring strategy thus devised was able to detect and diagnose the faults with appreciable accuracy.