Predictive usage mining for sustainability of complex systems design

Jungmok Ma, Harrison M. Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A new perspective of dynamic LCA (life cycle assessment) is proposed with the predictive usage mining for sustainability (PUMS) algorithm. By defining usage patterns as trend, seasonality, and level from a time series of usage information, predictive LCA can be conducted in a real time horizon. Large-scale sensor data of product operation is analyzed in order to mine usage patterns and build a usage model for LCA. The PUMS algorithm consists of handling missing and abnormal values, seasonal period analysis, segmentation analysis, time series analysis, and predictive LCA. A newly developed segmentation algorithm can distinguish low activity periods and help to capture patterns more clearly. Furthermore, a predictive LCA method is formulated using a time series usage model. Finally, generated data is used to do predictive LCA of agricultural machinery as a case study.

Original languageEnglish (US)
Title of host publication19th Design for Manufacturing and the Life Cycle Conference; 8th International Conference on Micro- andNanosystems
PublisherAmerican Society of Mechanical Engineers (ASME)
ISBN (Electronic)9780791846353
DOIs
StatePublished - Jan 1 2014
EventASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2014 - Buffalo, United States
Duration: Aug 17 2014Aug 20 2014

Publication series

NameProceedings of the ASME Design Engineering Technical Conference
Volume4

Other

OtherASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2014
Country/TerritoryUnited States
CityBuffalo
Period8/17/148/20/14

Keywords

  • Life cycle assessment
  • Segmentation of time series
  • Time series analysis
  • Usage pattern modeling

ASJC Scopus subject areas

  • Modeling and Simulation
  • Mechanical Engineering
  • Computer Science Applications
  • Computer Graphics and Computer-Aided Design

Fingerprint

Dive into the research topics of 'Predictive usage mining for sustainability of complex systems design'. Together they form a unique fingerprint.

Cite this