Multiscale based nonlinear fault detection of industrial processes

Chiranjivi Botre, Majdi Mansouri, Hazem Nounou, Mohamed Nounou, M. Nazmul Karim

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

Original languageEnglish
Title of host publicationFuels and Petrochemicals Division 2017 - Core Programming Area at the 2017 AIChE Spring Meeting and 13th Global Congress on Process Safety
PublisherAIChE
Pages129-143
Number of pages15
ISBN (Electronic)9781510841475
Publication statusPublished - 1 Jan 2017
EventFuels and Petrochemicals Division 2017 - Core Programming Area at the 2017 AIChE Spring Meeting and 13th Global Congress on Process Safety - San Antonio, United States
Duration: 26 Mar 201730 Mar 2017

Other

OtherFuels and Petrochemicals Division 2017 - Core Programming Area at the 2017 AIChE Spring Meeting and 13th Global Congress on Process Safety
CountryUnited States
CitySan Antonio
Period26/3/1730/3/17

ASJC Scopus subject areas

  • Fuel Technology
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Safety, Risk, Reliability and Quality

Cite this

Botre, C., Mansouri, M., Nounou, H., Nounou, M., & Karim, M. N. (2017). Multiscale based nonlinear fault detection of industrial processes. In Fuels and Petrochemicals Division 2017 - Core Programming Area at the 2017 AIChE Spring Meeting and 13th Global Congress on Process Safety (pp. 129-143). AIChE.