EconPapers    
Economics at your fingertips  
 

Multiple event identification and characterization by retrospective analysis of structured data streams

Andi Wang, Tzyy-Shuh Chang and Jianjun Shi

IISE Transactions, 2022, vol. 54, issue 9, 908-921

Abstract: The sensors installed in complex systems generate massive amounts of data, which contain rich information about a system’s operational status. This article proposes a retrospective analysis method for a historical data set, which simultaneously identifies when multiple events occur to the system and characterizes how they affect the multiple sensing signals. The problem formulation is motivated by the dictionary learning method and the solution is obtained by iteratively updating the event signatures and sequences using ADMM algorithms. A simulation study and a case study of the steel rolling process validate our approach. The supplementary materials including the appendices and the reproduction report are available online.

Date: 2022
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/24725854.2021.1970863 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:uiiexx:v:54:y:2022:i:9:p:908-921

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/uiie20

DOI: 10.1080/24725854.2021.1970863

Access Statistics for this article

IISE Transactions is currently edited by Jianjun Shi

More articles in IISE Transactions from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2025-03-20
Handle: RePEc:taf:uiiexx:v:54:y:2022:i:9:p:908-921